Next Article in Journal
Life Cycle Assessment of Post-Combustion CO2 Capture and Recovery by Hydrophobic Polypropylene Cross-Flow Hollow Fiber Membrane Contactors with Activated Methyldiethanolamine
Next Article in Special Issue
Interlaboratory Study on Brake Particle Emissions—Part I: Particulate Matter Mass Emissions
Previous Article in Journal
Analyzing and Modeling the Spatial-Temporal Changes and the Impact of GLOTI Index on Precipitation in the Marmara Region of Türkiye
Previous Article in Special Issue
Interlaboratory Study on Brake Particle Emissions Part II: Particle Number Emissions
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Airborne Brake Wear Emissions from a Battery Electric Vehicle

1
Institute of Combustion Technology, German Aerospace Center (DLR), 70569 Stuttgart, Germany
2
Institute of Vehicle Concepts, German Aerospace Center (DLR), 70569 Stuttgart, Germany
*
Author to whom correspondence should be addressed.
Atmosphere 2023, 14(3), 488; https://doi.org/10.3390/atmos14030488
Submission received: 6 February 2023 / Revised: 22 February 2023 / Accepted: 27 February 2023 / Published: 1 March 2023
(This article belongs to the Special Issue Brake Wear Particulate Matter and Mitigation Strategies)

Abstract

:
Although traffic exhaust emissions in Europe have been drastically reduced, airborne particle emissions caused by brakes and tires are still increasing with the number of vehicles. The measurement of non-exhaust emissions is an emerging technological challenge. We present a custom measurement setup to investigate the brake- and tire-wear emissions of an in-use battery electric vehicle. A separate brake housing and HEPA ventilation enabled airborne brake wear emissions to be measured under realistic conditions without external influences. The emission tests on a chassis dynamometer included particle number concentrations and particle size distribution for diameters of 4 nm to 10 μm. Emission indices were determined for three driving cycles: WLTC Class 3b, WLTC Brake Part 10, and a real driving cycle. Further investigations focused on emission control through regenerative braking and brake coating. Driving with regenerative braking reduced emissions by up to 89.9%, which related to the concentration of particles in the ultrafine/fine size range. Hard-metal brake coating led to a further significant reduction in emissions of up to 78.9%. The results point the way to future RDE measurement of non-exhaust emissions and show the potential of regenerative braking and brake coating to reduce airborne brake wear emissions.

1. Introduction

With the increasing importance of alternative powertrains, non-exhaust emissions are becoming more relevant. This is reflected in mitigation strategies through the new Euro 7 emissions standard, which, for the first time, includes non-exhaust emissions. A detailed investigation of brake and tire wear particles is necessary for the continued reduction of traffic-related emissions and the assessment of future risks to health [1,2,3,4]. Early studies on car brakes revealed that particles are emitted in two size modes (based on particle mass) within the braking process [5]. This proved that particle emissions from brakes are not limited to mechanical abrasion but are also a source of ultrafine/fine particles (UFP).
The health risks related to airborne particles from traffic have been extensively studied. Ultrafine particles with a diameter of less than 100 nm are the focus of current epidemiological research. These particles can reach the distal areas of the human lung and therefore represent a severe health hazard [6,7]. In addition to their physical properties, the chemical composition of airborne particles has health implications [8]. Although systematic studies identifying the impact of non-exhaust emissions on public health are lacking, many experiments have indicated that airborne brake wear particles have negative impacts on health [9,10,11]. A study by Dällenbach et al. showed that non-exhaust emissions were the dominant source of oxidative potential in densely populated areas [12]. Consequently, they suggested that the sources of airborne particles should be subject to regulation.
Standardized test procedures for the measurement of brake wear emissions are currently under development by the Particle Measurement Program (PMP) as a basis for future regulation [13,14,15,16,17]. The PMP is an informal working group of the United Nations Working Party on Pollution and Energy (GRPE). The work includes defined component test bench setups and test procedures as well as specific driving cycles, e.g., the WLTC Brake cycle [18]. Component tests enable investigation of brake discs under reproducible conditions and the comparison of different brake systems. Its various investigations have already provided valuable insights, such as the influence of bedding-in new brakes [19] and brake temperature [20,21] on emissions.
Conditions on the component test bench are very different to those on the vehicle and do not reflect the complexity of the system. Furthermore, new emission reduction technologies such as regenerative braking and brake wear collection systems can only be evaluated through vehicle-level investigations. Therefore, vehicle testing is a key method for the validation of non-exhaust emissions in realistic scenarios.
To date, published on-vehicle studies have only been carried out using combustion vehicles. However, electrification obviously affects particulate emissions and the exact extent of the impact remains to be researched. The key countervailing factors in this regard are increasing vehicle weight, which generally leads to higher braking emissions [5,22], and recuperation, which reduces brake wear [23]. There is a lack of experimental data for both factors, which leads to substantial uncertainties in modeled predictions [22,24,25,26,27]. A recent study by Beddow et al. predicted a reduction in PM2.5 emissions of up to 27% for a purely battery-powered fleet of electric cars, based on emission inventories [28].
Early chassis dynamometer and on-road studies mainly focused on particulate matter (PM) measurements and fine particles in the micrometer range [29,30]. More recent studies have also included particle number and size distributions [31,32,33]. Chasapidis et al. used an open measurement system by adding a pipe probe behind the brake disc, whereas Mathissen et al. designed a semi-closed setup for vehicle studies. In both cases, the main challenges were high particle losses due to non-isokinetic sampling, together with the identification of brake emissions due to tire wear and the ambient background concentration. A patent by Augsburg et al. describes a device for measuring and qualifying particle emissions, which includes a full housing for the brake on the vehicle [34].
The measurement of non-exhaust particulate matter is an emerging technological challenge. The reason for this lies in the complexity of the vehicle as a whole and the difficulty of dynamically measuring wear particles. To counter this difficulty, a new measuring system was developed and two approaches, recuperation and brake discs coating, for reducing particle emissions were tested. The aim of this study was to realistically determine and characterize the airborne brake wear particle emissions from a battery-powered electric city car in a real operational scenario. We present a closed, onboard measurement setup for the investigation of ultrafine/fine brake emissions under realistic conditions but without the external influences of tire- or road-wear particles. Measurements of the particulate emissions of the test vehicle were performed using a chassis dynamometer. In addition, the influences of regenerative braking (recuperation), brake disc temperature, and brake disc coating were investigated.

2. Materials and Methods

A BMW i3 was chosen for the tests as an example of an electric vehicle that is in use in urban areas. The vehicle used was first registered in September 2015. It had a vehicle weight of 1228 kg and a battery capacity of 60 Ah.
The road resistances force of the test vehicle is determined as an effective force F (in N) and is described for the road simulation on the roller test bench as a function of the driving speed v by a second-degree curve fit as shown in Equation (1):
F ( vehicle ) = A + B × v + C × v 2
Thereby, constant A represents with 129.04 N/(km/h) the coefficient of friction and rolling resistance, B represents with 0.58 N the part of the rolling resistance coefficient that is linearly dependent on the speed, and C represents with 0.02886 N/(km/h)2 the air resistance coefficient.
The testing vehicle was modified to enable the separate measurement of airborne brake- and tire-wear particles. The onboard particle sampling setup was implemented on the left-hand side of the rear axle of the vehicle. The wheel was driven, non-steered, and contained a disc brake.
Many vehicle parameters were recorded via a central onboard data logger that was adapted for this application. These parameters included the driving route, vehicle speed, lateral and longitudinal accelerations, wheel torque, and the power of the drive unit. Multiple sensors were integrated for these tasks, including a torque measurement wheel, acceleration sensors, and a GPS module.
The brake consisted of a floating brake calliper with one piston and a cast-iron disc without internal ventilation. It was comparable to many brake systems currently used on the road.
To obtain more information about the condition of the brake system, the hydraulic pressure and the temperatures in various locations were measured. Therefore, type K thermocouples of class 1, IEC 584-3 K-NiCr/Ni with a tolerance of ±1.5 °C between −40 and 1000 °C and 1 Hz resolution were integrated into the brake calliper, brake pads, and brake disc. Figure A1 shows the integration of two thermocouples into the brake disc. The thermocouples were integrated at a distance of 180 degrees in the inner area of the brake disc and screwed in with a maximum depth of 2 mm to the surface. The temperature measurement used was different from the test method described in GRPE 2023/4 V6. Although the measured temperature did not correspond to the temperature at the contact surface between brake disc and brake pad, it is an important indicator for mechanical contact and braking events. In addition, it was used for the adjustment of the volume flow in the measurement setup.
Like most other EVs, the BMW i3 features regenerative braking using its electric drive system. The vehicle control unit always attempts to recuperate as much of the brake power as possible. Therefore, the hydraulic brake system is only activated if the requested brake power comes close to or exceeds the maximum possible regenerative brake power. To investigate the influence of regenerative braking on particle emissions, the recuperation was deactivated for several of the tests. This was done via the error mode of the dynamic stability control (DSC). Recuperation was switched off after disconnecting the signal cable from the sensor on the right rear wheel to prevent the vehicle from skidding because of the uncontrolled braking torque on the rear axle.
For selective investigation of brake and tire wear particles, the two components were separated from each other by an offset plate. Figure 1a shows the tailor-made housings with an air inlet and outlet designed around the brake and tire. The results of the tire measurements do not form part of this study and will be published elsewhere.
The ventilation system features air channels leading to electric blowers and can be connected to either housing. The filter and other components of the air path are connected with flexible tubes and are located on the vehicle roof. For the closed sampling system around the disc brake, the air intake is connected to a multistage H 13/F7 filter system which ensures a particle background concentration below 15   # / c m 3 . The flow rate and pressure inside the housing can be adjusted. The air mass flow, temperature, and pressure of the ventilation system are determined by integrated sensors (Bosch HFM 5, Type K, AMS 4712-1200-B, AMS 4712-0020-D-B).
In this setup, the ventilation of the brake deviates from realistic conditions because the brake is enclosed and artificially ventilated with HEPA air. Earlier studies showed that ventilation systems at the brake influence the brake temperature and, thus, the release of particles [32,33]. To ensure realistic brake ventilation despite the enclosure, the brake temperatures were determined via a reference measurement on the roads around Stuttgart [35] with the test vehicle in its original condition. The recorded driving profile was replicated in the onboard measurement setup of the chassis dynamometer. In four runs the constant ventilation flow varied between 31 and 78 m 3 / h . Figure 2 shows the measured brake temperature profile of the on-road reference and repetition runs. The brake temperature of the on-road reference depends on the use of the brakes and the degree of brake ventilation, which increases with the speed of the vehicle. In urban traffic, the brake temperature increases due to numerous braking events and low brake ventilation. At high vehicle speeds, the brake temperature decreases again due to fewer braking events and strong ventilation. In the repetition runs, brake ventilation is independent of vehicle speed and remains constant. This leads to a deviation of the temperature profile. A high ventilation flow can reproduce the disk temperatures of a high vehicle speed but leads to overcooling results for a low vehicle speed. The lowest ventilation level of 31 m 3 / h could reproduce the maximum temperature from the on-road test and was therefore selected for the emission measurements. The diameter of the sampling nozzle was chosen so that the flow velocity of the sampling line matched the velocity inside the housing in order to achieve representative, isokinetic sampling.

2.1. Aerosol Measurement Equipment

As displayed in Figure 1b, particle sampling was undertaken in the channel close to the air outlet of the housing. Airborne particle sampling was performed in-line and isokinetically by adapting the sampling nozzle diameter to the chosen air flow. The sampled air was divided using flow splitters and connected to particle measurement instrumentation inlets using carbonised tubes. The measurement equipment used is regularly subjected to calibration at the manufacturer. The conformity of the measurement devices before each measurement campaign was tested with an aerosol generator. Losses inside the sampling system were determined size-dependently using sodium chloride salt (NaCl) particles produced by a portable test aerosol generator (TSI, Model 3073) and taken into account. The background concentration was monitored before and after each measurement. Due to the customized enclosure and the ventilation of the brake with filtered air, the background particle number concentration is below 15   # / c m 3 and can be neglected.
Three particle measurement devices from TSI GmbH were used in combination to measure particle number concentration (PNC) and the size distribution of airborne particles (PSD): A TSI 3752 Condensation Particle Counter (CPC) to measure the PNC of particles between 4 nm (D50) and 3 μm; a TSI 3090 Engine Exhaust Particle Sizer (EEPS) for measuring PSD ranging from 5.6 to 560 nm simultaneously in 32 channels; and a TSI 3330 Optical Particle Sizer (OPS) for measuring the PSD ranging from 300 nm to 10 μm in 16 channels. All instruments were operated at 1 Hz.
Airborne particles detected by the CPC can be assigned to the size range of ultrafine/fine particles by the continuous size-selective measurement of the EEPS. In this article, the airborne particles measured by the CPC are referred to as ultrafine/fine particles, and those measured by the OPS are referred to as coarse particles. (The size ranges detected by the CPC and the OPS overlap and do not correspond to the common definition of coarse, fine, and ultrafine airborne particles. The designation used here is simplified to improve readability.) For some experiments, a catalytic stripper (CS10) from Catalytic Instruments with a 10 l flow at 350 °C was used upstream of the EEPS to determine the fraction of nonvolatile brake abrasion particles. Losses inside the catalytic stripper were corrected according to the penetration curve shown in Figure A2, which was determined using solid graphite particles. In addition, for offline REM-EDX analysis, particles were collected size-selectively on aluminum and polycarbonate substrate using an electric low-pressure impactor (ELPI+) from DEKATI.

2.2. Testing Environment and Driving Cycles

The experiments took place on an air-conditioned four-wheel dynamometer test stand at the DLR-Institute of Vehicle Concepts in Stuttgart. The dynamometer independently drove 48″ rollers, each with a continuous power of 100 kW.
After load balancing of the test vehicle, the drag coefficients of the chassis dynamometer test stand were 21.85, −0.9376, and 0.03683, respectively. By comparing the force at the wheel, the distribution of the braking force can be determined. In case of the WLTC Brake Part 10 without recuperation, the front-rear distribution of the braking force is 30.8% at the rear and 69.2% at the front.
Three different driving scenarios were used to investigate the braking emissions of the test vehicle (Table 1): WLTC Class 3b, designed for measurement of combustion emissions, WLTC Brake (Part 10) developed for brake emission measurements on a component test bench, and a real driving cycle including urban, rural, and motorway sections (Table A2). The real driving cycle was based on a real drive of the BMWi3 around Stuttgart during which the speed and gradient were recorded. This trip is shown in Figure A3. The cycles could then be repeated under reproducible conditions on the chassis dynamometer. As shown in Table 1, the parameters of the investigated driving cycles varied in length and distance, which influence the heating of the brake over time. Furthermore, they include a variety of velocities and braking events.
In addition, to understand the mechanism of particle generation and characterize the size distribution, two simple test cycles were designed. The ZEDU Accelerate Cycle consisted of defined acceleration from 0 to 30, 60, 90, and 120 k/h with a subsequent phase of constant driving and braking. The ZEDU Brake Cycle consisted of different strengths of braking at the same speed from 80 to 0 km/h. Both are described in Table A1.

3. Results and Discussion

3.1. Characterization of Airborne Brake Wear Emissions

3.1.1. Particle Size Distribution

Brake particle emissions were examined in a simple test cycle to determine the size distribution of emitted airborne particles. The results in Figure 3a show that braking emissions arose not only during the actual braking but also when accelerating and driving at a constant speed. The measured particle concentration increased with increasing velocity. Two particle size modes were observed (Figure 3b): first, a dominating particle mode with a maximum size of 220 nm (±34 nm), a lower limit of approximately 50 nm in the ultrafine range, and an upper limit outside the particle size measuring range of the EEPS (560 nm), and second, ultrafine particles with a diameter of approximately 10 nm.
The particle emissions detected in the 220 nm mode were the result of abrasion caused by mechanical processes on the friction surface between the brake pad and the brake disc. The ultrafine particles in the 10 nm range were produced by thermal processes, as described in the next section.
The combined use of CPC and OPS makes it possible to monitor particle emissions across a wide size range from 4 nm up to 10 μm. Because particle concentrations are often at the lower detection limit, the EEPS can only reproducibly measure the number of particles and their size distribution for relatively high emission events, e.g., during heavy braking and at high speeds. The CPC optically measures particle concentration in the ultrafine and fine ranges between 4 nm (D50) and 3 μm, which includes both emission modes. The OPS detects particles in the coarse mode between 300 nm and 10 μm, and even though its cut off is above the maximum of the 220 nm mode, it is capable of detecting a relevant number of particles of the broad mode.
In general, very different size distributions were measured in previous studies. In different test scenarios (pin-on-disc, brake dynamometer, and real driving), uni-, bi-, and multimodal distributions were measured with maxima between 0.01 and 2 μm [36]. The reasons for these differences were the significant variability in driving conditions, braking systems, and measurement techniques [37]. Despite the large variability, the measured results were consistent with two recent component studies using the same measurement technique. In investigations using an EEPS at the brake dynamometer, Mamakos et al. [16] measured a unimodal distribution of brake emissions with a maximum at 140 nm. At higher temperatures, additional particles in the 10 nm range were observed here, with increasing size. In the test bench investigation performed by Vojtisek-Lom et al. [17], the EEPS electromobility diameter showed a consistent peak at 200–250 nm, with an additional emission peak at 10 nm during heavy braking. In our study, a similar size distribution was observed for the determined aerodynamic diameter using the ELPI+.
Particle emissions in the size range of 220 nm are likely caused by mechanical friction processes between the brake disc and the brake pad and the ultrafine particles in the 10 nm range were produced by thermal processes. Both brake components show an external change of the surface due to the braking tests, as shown in Figure A5.

3.1.2. Temperature Dependency

Emission measurements of a driving profile with repeated ZEDU Brake Cycles on the chassis dynamometer showed the influence of temperature on the size and amount of airborne brake wear. Particulate emissions remained almost constant in the temperature range between 200 and 245 °C. Above the so-called critical braking temperature [37,38,39], as shown in Figure 4, there was an exponential increase in particle number concentration. The CPC reached its upper detection limit at 10 6 #/cm³, but the EEPS could detect a continuing increase in particle emissions. The particle size distribution showed the release of particles with a maximum diameter of 220 nm and a second particle mode in the ultrafine range, which occurred with a time shift. The exponential increase in total particle concentration was driven by the release of ultrafine particles. These were initially visible as a sharp peak at 10 nm, which then spread to a broader distribution up to 100 nm with increasing concentration. A concentration of 10 6   [ # / c m 3 ] is close to the upper detection limit of the EEPS, and thus it cannot be said whether this was a real increase in particle size or an instrument feature.
The amount of non-volatile particle fraction can be measured using a catalytic stripper upstream of the EEPS. In this experiment, after correction for penetration losses, the quantity of ultrafine particles was significantly reduced (see Figure A4). Thus, the ultrafine particles emitted above the critical temperature were not solid but mainly volatile or semi-volatile in nature.
The determined critical temperature of 200 to 245 °C was in the range of the results from previous studies which observed values between 120 and 300 °C [14,21,37,38,40,41]. As summarized by Ma et al. and Wang et al. [41,42], various factors can influence the critical temperature: the brake system, brake pad materials, the running-in process, temperature hotspots, and uncertainties in the temperature measurement [38,39].
Above the critical temperature, it is suspected that the emitted particles originate from the degradation and combustion of resins. Volatile particles are formed through evaporation and subsequent nucleation of the organic components in brake pad binders [38]. The determined particle size of a few nanometers and the volatile nature of the emissions in the investigated brake system support this hypothesis regarding the formation process. Furthermore, the findings agree with earlier studies which revealed the volatile nature of nanoparticle emissions from brakes [14,32].
Above the critical temperature, it is suspected that the emitted particles originate from the degradation and combustion of resins. Volatile particles are formed through evaporation and subsequent nucleation of the organic components in brake pad binders [38]. The determined particle size of a few nanometers and the volatile nature of the emissions in the investigated brake system support this hypothesis regarding the formation process. Furthermore, the findings agree with earlier studies which revealed the volatile nature of nanoparticle emissions from brakes [14,32].
Above the critical temperature, it is suspected that the emitted particles originate from the degradation and combustion of resins. Volatile particles are formed through evaporation and subsequent nucleation of the organic components in brake pad binders [38]. The determined particle size of a few nanometers and the volatile nature of the emissions in the investigated brake system support this hypothesis regarding the formation process. Furthermore, the findings agree with earlier studies which revealed the volatile nature of nanoparticle emissions from brakes [14,32].

3.2. Emissions from the Electric Vehicle with Regenerative Braking

The numbers of coarse and ultrafine/fine particle emissions from the electric vehicle were determined during three driving cycles on the chassis dynamometer with the standard recuperation. Figure 5 presents the measured particle concentration and the relevant vehicle parameters, such as brake temperature, brake pressure, and velocity, for each driving cycle. For the WLTC Class 3b driving cycle, only two mechanical braking events occurred due to recuperation and, at the same time, the temperature remained very low, with a maximum of 36.5 °C. Nevertheless, airborne particulate emissions were measurable: for coarse and ultrafine/fine particles, a similar temporal course of emissions depending on speed could be observed. In addition, individual, high emission peaks occurred, which contributed significantly to the total emissions. The WLTC Brake Part 10 driving cycle included significantly more mechanical braking than the WLTC Class 3b cycle. With time, a temperature increase up to the maximum of 99.8 °C was visible not only as a result of mechanical braking but also during constant driving. The temperature increase during constant travel indicated mechanical contact between the brake pad and the disc. During real driving, it was noticeable in comparison to the other driving cycles that hydraulic braking occurred in all speed ranges and significant emission peaks occurred. In urban areas, the emissions were significantly lower than in rural and motorway environments. The braking temperature fell between the other measured cycles with a maximum of 47 °C.
Emission indices were defined as the number of emitted particles per kilometer for one rear-axle disc brake of the test vehicle. They were determined from the measured particle number concentration obtained from the CPC or OPS and the measured total flow through the brake housing. The emission indices were in the magnitude of 10 8   # /km. The WLTC Class 3b driving cycle exhibited the lowest emission indices of 1.63 × 10 8 [ # / k m ] for ultrafine/fine and 1.29 × 10 8 [ # / k m ] for coarse particles, followed by the real driving cycle with 4.1 × 10 8 [ # / k m ] for ultrafine/fine and 3.45 × 10 8 [ # / k m ] for coarse particles. The highest emission indices were observed for the WLTC Brake Part 10 cycle with 5.11 × 10 8 [ # / k m ] for ultrafine/fine and 4.27 × 10 8 [ # / k m ] for coarse particles.
All three driving cycles were repeated with recuperation deactivated in order to determine the influence of regenerative braking on brake wear emissions. The corresponding results are shown in Figure 5 (blue line). Driving without recuperation required significantly more hydraulic braking for all three driving cycles. Most braking events occurred in the real driving cycle. The significant increase in emission peaks reflected an increasing number of braking operations, particularly in low- and medium-speed ranges. Compared to regenerative braking, there was a greater increase in brake temperature during each driving cycle. In all tests involving the WLTC Class 3b, WLTC Part 10 and real driving cycle, with and without recuperation, the brake remained below the critical temperature. Consequently, particles in the 220 nm mode were generally to be expected during the driving cycles.
Table 2 shows the reduction in hydraulic braking for each drive cycle. A hydraulic braking event was defined as follows: braking pressure above 1 bar; wheel speed above 20 rpm, and time since the last braking over 1 s. The reduction in braking events was lowest for the real driving cycle at 87% and highest for the WLTC Class 3b driving cycle at 95.8%. The reduction in particulate emissions due to recuperation is considerably more variable. For the WLTC Brake Class 3b driving cycle, the decreases in particle emissions in the ultrafine/fine and coarse ranges were 65.4% and 67.9%, respectively. A significant reduction was also measured for the real driving cycle, which was 89.8% for the ultrafine/fine and 34.6% for the coarse emissions. The magnitude of the difference here can be explained by the very significant peak in ultrafine/fine emissions observed when recuperation was switched off (see Figure 5). For the WLTC Brake Part 10 driving cycle, there was only a modest reduction of 4.3% in ultrafine/fine emissions, and the particle count measured for the coarse size was even 15.2% lower without recuperation. Figure 5 shows that this was due to constant driving at 110 km/h. The simultaneous increase in temperature indicated continuous mechanical contact between the brake disc and brake pad.
Recuperation led to a significant reduction in particle emissions from the brake. The reduction in emissions for regenerative braking is due to the reduced number of braking events and the lower overall power transmission via the brake disc. Although the relative reduction in the number of braking operations was similar for all the driving cycles, the strength of the emission reduction was strongly dependent on the driving cycle. It was highest for the real driving cycle, at 89.8% for ultrafine/fine particles. For the WLTC Brake Part 10 driving cycle, little or no reduction in emissions was observed for all measured particle sizes. The reason for this could have been a failure in the brake pad reset mechanism. In some cases, this can cause the brake pads to drag while the car is driven and leads to additional wear. Under ideal conditions, recuperation leads to a significant reduction in airborne particulates, but the magnitude of the reduction is highly dependent on the driving cycle and can be negated by the lack of a brake pad reset mechanism.

3.3. Emission Reduction through Brake Coating

The application of a hard coating to brake discs is a proven reduction technique for brake wear emissions [42]. We investigated the effect of brake coating for a battery-powered electric vehicle via tests on the chassis dynamometer. For comparison, the tests included the WLTC Class 3b, WLTC Brake Part 10, and real driving cycle with regenerative braking.
The brake discs used, original and coated, are shown in Figure 6. The cast-iron brake was coated with a two-layer system by ARS Autoteile GmbH (now FRENOZA GmbH). Firstly, the stainless-steel adhesive layer was applied directly to the base material of the component. Its relative similarity to the base material ensured optimum adhesion between the two layers. Secondly, the carbide layer, consisting of 20% tungsten carbide with 30% titanium carbide in a 50% ductile matrix of stainless steel, was applied to the adhesive layer. The coating was applied using High-Velocity Oxy Fuel coating and was then given a plain finish.
Figure 7 shows that the temperature of the brake with the coating was generally higher than that of the original brake without the coating. The measured temperature difference could be caused by metrological influences such as a slight deviation in the positioning of the temperature sensor and a different thermal conductivity due to the brake lining, or by a change in the friction behavior. The analysis of the force on the tire and the brake pressure shows that the coefficient of friction is significantly higher for the coated brake. This indicates a change in friction behavior and could thus explain the higher temperatures at the coated brake disc. Despite the higher temperatures, a strong reduction was evident in the emissions. The individual emission peaks of ultrafine/fine and coarse particles, which occurred with the original brake, were not visible in the coated brake. For all brake events, the individual emission peaks were significantly lower.
These findings were replicated for the emission indices on the coated brake on the rear axle, shown in Table 3. The indices were significantly lower than those of the original brake. In the case of the WLTC Class 3b driving cycle, they were 1.33 × 10 8   [ # / k m ] for ultrafine/fine particles and 8.5 × 10 7   [ # / k m ] for coarse particles, corresponding to a reduction in airborne particulate emissions of 18.5% and 33.9%, respectively.
The emission indices for ultrafine/fine and coarse particles in the WLTC Brake driving cycle were similar, at 1.45 × 10 8   [ # / k m ] and 1.38 × 10 7   [ # / k m ] , respectively. However, the emission abatement in this case was significantly higher than for the WLTC Class 3b driving cycle, at 71.7% and 78%, respectively. The real driving cycle had the lowest emission indices, at 8.64 × 10 7   [ # / k m ] and 5.85 × 10 7   [ # / k m ] , because of the significant emission savings of 78.9% and 83%, respectively.
Despite the low number of braking operations as a consequence of regenerative braking, the coating of the brake disc can lead to a further significant reduction in airborne particulate emissions. The highest emission savings were observed for the real driving cycle, with 78.9% and 83% measured by the CPC and the OPS, respectively. Thus, the emission indices were already in the range of 10 7 . The relative emission reduction differed between driving cycles. A correlation with the number of hydraulic braking operations can be noted here: The higher the number of braking operations (despite recuperation), the greater the relative savings potential through the brake coating.
The reduction in emissions is due to the changed properties of the brake disc as a result of the coating. These determine the friction behavior, which is visible through increased friction coefficients. Other properties such as the firmness and resistance of the surface directly ensure lower emissions for the same braking force.

4. Conclusions

Using the onboard test setup presented in this paper, it is possible to measure the particulate emissions of vehicle brakes under realistic conditions and independently of the tire emissions. The integrated ventilation with HEPA air enables the successful identification of particle emissions in the low concentration ranges of 10 3 and 10 4 . With constant ventilation, it is possible to realize both isokinetic sampling and realistic brake temperatures on the vehicle. In addition, the combined use of CPC, OPS, and EEPS makes it possible to monitor and characterize particle emissions across a wide size range, from 4 nm up to 10 μm.
The brake particle emissions observed had a main mode with a maximum diameter of 220 nm. In addition, volatile particles with a diameter of approximately 10 nm were generated at high temperatures and increased in size over time. For real-world operation, the 220 nm mode was of primary importance as the temperature remained well below the critical temperature in all the driving cycles tested.
Emission measurements for the three cycles showed that regenerative braking could lead to a significant reduction in the particle number concentration. Under realistic conditions, up to 89.9% of emissions could be saved in the ultrafine/fine range (CPC). It should be noted, however, that the extent of the reduction depended strongly on the driving cycle and could be nullified by the absence of a brake pad reset mechanism.
Application of a hard metal coating to the brake disc also led to a further significant reduction in the emitted particle number concentration under recuperation. The highest emission savings were achieved in the real driving cycle, with a saving of 78.9% in the ultrafine/fine range and 83% in the coarse particle emissions.
The investigations showed that the choice of driving cycle significantly defined the measured total brake particle emissions and the emission reduction potential. Furthermore, the amount of recuperation and the reset mechanism of the brake pad influence the amount of braking emissions from a battery electric vehicle. Both underscore the need for emission testing of vehicles under realistic driving conditions. Thus, in addition to component tests, methods for RDE investigation of non-exhaust emissions should also be further developed.
The types of electric vehicle in use vary significantly in terms of weight, driving behavior, and recuperation settings. Consequently, comparative studies of several vehicles are necessary in order to estimate the brake emissions of the entire fleet.

Author Contributions

Conceptualization, L.B., L.K., T.S. and F.P.; methodology, L.B., L.K. and T.G.; formal analysis, L.B.; investigation, L.B., L.K., T.G. and F.E.; resources, T.G. and F.E.; data curation, L.B.; writing—original draft preparation, L.B. and L.K.; writing—review and editing, T.S.; visualization, L.B.; supervision, T.S. and M.A.; project administration, F.P. and T.S.; funding acquisition, F.P. and M.A. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by Baden-Württemberg Ministry of Economic Affairs, Labour and Tourism and is part of the project Zero Emission Drive Unit—Generation 1 (ZEDU-1).

Acknowledgments

The authors acknowledge Ulrich Vogt and Miriam Chacón Mateos from the University of Stuttgart for supporting the measurements. In addition, the authors would like to thank Katharina Großmann, Michael Fröhlich, Heribert Hellstern, Jens Kreeb, Marcel Frietsch, and Nina Gaiser from the German Aerospace Center for photography and technical support.

Conflicts of Interest

The authors declare no conflict of interest.

Appendix A. Experimental Setup and Driving Cycles

Figure A1. Temperature measurement at the brake disc with two type K thermocouples of class 1, IEC 584-3 K-NiCr/Ni with a tolerance of ±1.5 °C between −40 and 1000 °C and 1 Hz resolution.
Figure A1. Temperature measurement at the brake disc with two type K thermocouples of class 1, IEC 584-3 K-NiCr/Ni with a tolerance of ±1.5 °C between −40 and 1000 °C and 1 Hz resolution.
Atmosphere 14 00488 g0a1
Figure A2. Graphite test particles were produced by a solid particle generator from Palas using the following settings: 2500 V, 50 Hz, Air: 50 L/min, N2: 5 L/min. The penetration of solid particles through the catalytic stripper was calculated as the ratio of particle concentrations with and without the catalytic stripper at 350 °C upstream of the EEPS.
Figure A2. Graphite test particles were produced by a solid particle generator from Palas using the following settings: 2500 V, 50 Hz, Air: 50 L/min, N2: 5 L/min. The penetration of solid particles through the catalytic stripper was calculated as the ratio of particle concentrations with and without the catalytic stripper at 350 °C upstream of the EEPS.
Atmosphere 14 00488 g0a2
Table A1. Driving cycles for characterization of non-exhaust emissions.
Table A1. Driving cycles for characterization of non-exhaust emissions.
ZEDU Accelerate CycleZEDU Brake Cycle
Time [s]Speed [km/h]Time [s]Speed [km/h]
1010
100100
15302580
75304080
800570
1000720
110608780
1706010280
18001160
20001310
2159014680
2759016180
29001720
31001870
33012020280
39012021780
2250
2400
25580
27080
2750
2900
Figure A3. Map of the real driving cycle. Plotted with data from OpenStreetMap.org, accessed on 12 November 2022.
Figure A3. Map of the real driving cycle. Plotted with data from OpenStreetMap.org, accessed on 12 November 2022.
Atmosphere 14 00488 g0a3
Table A2. Real driving cycle in and around Stuttgart.
Table A2. Real driving cycle in and around Stuttgart.
Driving CycleTime [s]Distance [km]Urban [%]Rural [%]Motorway [%]
real driving cycle361947.4503119

Appendix B. Results

Figure A4. Particles on the 10.8 nm channel of the EEPS during continuous braking and at high brake temperatures. EEPS measurements of the total particle concentration are shown in red, and those in blue were with a catalytic stripper placed upstream. The particle concentration was corrected for losses in the CS.
Figure A4. Particles on the 10.8 nm channel of the EEPS during continuous braking and at high brake temperatures. EEPS measurements of the total particle concentration are shown in red, and those in blue were with a catalytic stripper placed upstream. The particle concentration was corrected for losses in the CS.
Atmosphere 14 00488 g0a4
Figure A5. Original brake disc and brake pads of the test vehicle BMW i3 before and after the experiments.
Figure A5. Original brake disc and brake pads of the test vehicle BMW i3 before and after the experiments.
Atmosphere 14 00488 g0a5

References

  1. Amato, F.; Cassee, F.R.; van der Gon, H.A.D.; Gehrig, R.; Gustafsson, M.; Hafner, W.; Harrison, R.M.; Jozwicka, M.; Kelly, F.J.; Moreno, T.; et al. Urban air quality: The challenge of traffic non-exhaust emissions. J. Hazard. Mater. 2014, 275, 31–36. [Google Scholar] [CrossRef] [PubMed]
  2. Thorpe, A.; Harrison, R.M. Sources and properties of non-exhaust particulate matter from road traffic: A review. Sci. Total Environ. 2008, 400, 270–282. [Google Scholar] [CrossRef]
  3. Grigoratos, T.; Martini, G. Brake wear particle emissions: A review. Environ. Sci. Pollut. Res. 2015, 22, 2491–2504. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  4. Van Der Gon, H.D.; Hulskotte, J.; Jozwicka, M.; Kranenburg, R.; Kuenen, J.; Visschedijk, A. Chapter 5—European Emission Inventories and Projections for Road Transport Non-Exhaust Emissions: Analysis of Consistency and Gaps in Emission Inventories From EU Member States. In Non-Exhaust Emissions; Amato, F., Ed.; Academic Press: Cambridge, MA, USA, 2018; pp. 101–121. [Google Scholar]
  5. Garg, B.D.; Cadle, S.H.; Mulawa, P.A.; Groblicki, P.J.; Laroo, C.; Parr, G.A. Brake Wear Particulate Matter Emissions. Environ. Sci. Technol. 2000, 34, 4463. [Google Scholar] [CrossRef]
  6. Kwon, H.S.; Ryu, M.H.; Carlsten, C. Ultrafine particles: Unique physicochemical properties relevant to health and disease. Exp. Mol. Med. 2020, 52, 318–328. [Google Scholar] [CrossRef]
  7. Schraufnagel, D.E. The health effects of ultrafine particles. Exp. Mol. Med. 2020, 52, 311–317. [Google Scholar] [CrossRef] [Green Version]
  8. Cassee, F.R.; Héroux, M.-E.; Gerlofs-Nijland, M.E.; Kelly, F.J. Particulate matter beyond mass: Recent health evidence on the role of fractions, chemical constituents and sources of emission. Inhal. Toxicol. 2013, 25, 802–812. [Google Scholar] [CrossRef]
  9. Winkler, A.; Contardo, T.; Vannini, A.; Sorbo, S.; Basile, A.; Loppi, S. Magnetic Emissions from Brake Wear are the Major Source of Airborne Particulate Matter Bioaccumulated by Lichens Exposed in Milan (Italy). Appl. Sci. 2020, 10, 2073. [Google Scholar] [CrossRef] [Green Version]
  10. Stafoggia, M.; Faustini, A. Chapter 3—Impact on Public Health—Epidemiological Studies: A Review of Epidemiological Studies on Non-Exhaust Particles: Identification of Gaps and Future Needs. In Non-Exhaust Emissions; Amato, F., Ed.; Academic Press: Cambridge, MA, USA, 2018; pp. 67–88. [Google Scholar]
  11. Selley, L.; Schuster, L.; Marbach, H.; Forsthuber, T.; Forbes, B.; Gant, T.W.; Sandström, T.; Camiña, N.; Athersuch, T.J.; Mudway, I.; et al. Brake dust exposure exacerbates inflammation and transiently compromises phagocytosis in macrophages. Metallomics 2020, 12, 371–386. [Google Scholar] [CrossRef] [Green Version]
  12. Daellenbach, K.R.; Uzu, G.; Jiang, J.; Cassagnes, L.-E.; Leni, Z.; Vlachou, A.; Stefenelli, G.; Canonaco, F.; Weber, S.; Segers, A.; et al. Sources of particulate-matter air pollution and its oxidative potential in Europe. Nature 2020, 587, 414–419. [Google Scholar] [CrossRef]
  13. Perricone, G. Laboratory Measurements of Airborne Emissions from Car Brakes for Clean Air; KTH Industrial Engineering And Management: Stockholm, Sweden, 2020. [Google Scholar]
  14. Perricone, G.; Matĕjka, V.; Alemani, M.; Wahlström, J.; Olofsson, U. A Test Stand Study on the Volatile Emissions of a Passenger Car Brake Assembly. Atmosphere 2019, 10, 263. [Google Scholar] [CrossRef] [Green Version]
  15. Perricone, G.; Wahlstrom, J.; Olofsson, U. Towards a test stand for standardized measurements of the brake emissions. Proc. Inst. Mech. Eng. Part D-J. Automob. Eng. 2016, 230, 1521–1528. [Google Scholar] [CrossRef]
  16. Mamakos, A.; Kolbeck, K.; Arndt, M.; Schröder, T.; Bernhard, M. Particle Emissions and Disc Temperature Profiles from a Commercial Brake System Tested on a Dynamometer under Real-World Cycles. Atmosphere 2021, 12, 377. [Google Scholar] [CrossRef]
  17. Vojtíšek-Lom, M.; Vaculík, M.; Pechout, M.; Hopan, F.; Raj, A.F.A.; Penumarti, S.; Horák, J.S.; Popovicheva, O.; Ondráček, J.; Doušová, B. Effects of braking conditions on nanoparticle emissions from passenger car friction brakes. Sci. Total Env. 2021, 788, 147779. [Google Scholar] [CrossRef] [PubMed]
  18. Mathissen, M.; Grochowicz, J.; Schmidt, C.; Vogt, R.; zum Hagen, F.H.F.; Grabiec, T.; Steven, H.; Grigoratos, T. A novel real-world braking cycle for studying brake wear particle emissions. Wear 2018, 414, 219–226. [Google Scholar] [CrossRef]
  19. Gramstat, S.; Mertens, T.; Waninger, R.; Lugovyy, D. Impacts on Brake Particle Emission Testing. Atmosphere 2020, 11, 1132. [Google Scholar] [CrossRef]
  20. Niemann, H.; Winner, H.; Asbach, C.; Kaminski, H.; Frentz, G.; Milczarek, R. Influence of Disc Temperature on Ultrafine, Fine, and Coarse Particle Emissions of Passenger Car Disc Brakes with Organic and Inorganic Pad Binder Materials. Atmosphere 2020, 11, 1060. [Google Scholar] [CrossRef]
  21. Grigoratos, T.; Agudelo, C.; Grochowicz, J.; Gramstat, S.; Robere, M.; Perricone, G.; Sin, A.; Paulus, A.; Zessinger, M.; Hortet, A.; et al. Statistical Assessment and Temperature Study from the Interlaboratory Application of the WLTP-Brake Cycle. Atmosphere 2020, 11, 1309. [Google Scholar] [CrossRef]
  22. Simons, A.M. Road transport: New life cycle inventories for fossil-fuelled passenger cars and non-exhaust emissions in ecoinvent v3. Int. J. Life Cycle Assess. 2013, 21, 1299–1313. [Google Scholar] [CrossRef]
  23. Timmers, V.R.J.H.; Achten, P.A.J. Non-exhaust PM emissions from electric vehicles. Atmos. Environ. 2016, 134, 10–17. [Google Scholar] [CrossRef]
  24. Timmers, V.; Achten, P. Non-Exhaust PM Emissions From Battery Electric Vehicles. Non-Exhaust Emiss. 2018, 261–287. [Google Scholar] [CrossRef]
  25. Soret, A.; Guevara, M.; Baldasano, J. The potential impacts of electric vehicles on air quality in the urban areas of Barcelona and Madrid (Spain). Atmos. Environ. 2014, 99, 51–63. [Google Scholar] [CrossRef]
  26. Nealer, R.; Hendrickson, T.P. Review of Recent Lifecycle Assessments of Energy and Greenhouse Gas Emissions for Electric Vehicles. Curr. Sustain./Renew. Energy Rep. 2015, 2, 66–73. [Google Scholar] [CrossRef] [Green Version]
  27. Hooftman, N.; Oliveira, L.; Messagie, M.; Coosemans, T.; Van Mierlo, J. Environmental Analysis of Petrol, Diesel and Electric Passenger Cars in a Belgian Urban Setting. Energies 2016, 9, 84. [Google Scholar] [CrossRef]
  28. Beddows, D.C.S.; Harrison, R.M. PM10 and PM2.5 emission factors for non-exhaust particles from road vehicles: Dependence upon vehicle mass and implications for battery electric vehicles. Atmos. Environ. 2021, 244, 117886. [Google Scholar] [CrossRef]
  29. Kwak, J.-H.; Kim, H.; Lee, J.; Lee, S. Characterization of non-exhaust coarse and fine particles from on-road driving and laboratory measurements. Sci. Total Environ. 2013, 458–460, 273–282. [Google Scholar] [CrossRef] [PubMed]
  30. Wahlström, J.; Olofsson, U. A field study of airborne particle emissions from automotive disc brakes. Proc. Inst. Mech. Eng. Part D 2015, 229, 747. [Google Scholar] [CrossRef]
  31. Chasapidis, L.; Grigoratos, T.; Zygogianni, A.; Tsakis, A.; Konstandopoulos, A.G. Study of Brake Wear Particle Emissions of a Minivan on a Chassis Dynamometer. Emiss. Control Sci. Technol. 2018, 4, 271–278. [Google Scholar] [CrossRef] [Green Version]
  32. Mathissen, M.; Grigoratos, T.; Lahde, T.; Vogt, R. Brake Wear Particle Emissions of a Passenger Car Measured on a Chassis Dynamometer. Atmosphere 2019, 10, 556. [Google Scholar] [CrossRef] [Green Version]
  33. Hagen, F.H.F.Z.; Mathissen, M.; Grabiec, T.; Hennicke, T.; Rettig, M.; Grochowicz, J.; Vogt, R.; Benter, T. On-road vehicle measurements of brake wear particle emissions. Atmos. Environ. 2019, 217, 116943. [Google Scholar] [CrossRef]
  34. Augsburg, K.; Hesse, D.; Wenzel, F. DE 10 2017 006 349 B4: Vorrichtung zur Messung und Klassifizierung der Partikelemissionen einer Radbremse eines Fahrzeuges. WO2017097901A1, 8 December 2016. [Google Scholar]
  35. Feinauer, M.; Ehrenberger, S.; Epple, F.; Schripp, T.; Grein, T. Investigating Particulate and Nitrogen Oxides Emissions of a Plug-In Hybrid Electric Vehicle for a Real-World Driving Scenario. Appl. Sci. 2022, 12, 1404. [Google Scholar] [CrossRef]
  36. Wang, Y.; Yin, H.; Yang, Z.; Su, S.; Hao, L.; Tan, J.; Wang, X.; Niu, Z.; Ge, Y. Assessing the brake particle emissions for sustainable transport: A review. Renew. Sustain. Energy Rev. 2022, 167, 112737. [Google Scholar] [CrossRef]
  37. Zum Hagen, F.H.; Mathissen, M.; Grabiec, T.; Hennicke, T.; Rettig, M.; Grochowicz, J.; Vogt, R.; Benter, T. Study of Brake Wear Particle Emissions: Impact of Braking and Cruising Conditions. Environ. Sci. Technol. 2019, 53, 5143–5150. [Google Scholar] [CrossRef] [PubMed]
  38. Kukutschová, J.; Moravec, P.; Tomášek, V.; Matějka, V.; Smolík, J.; Schwarz, J.; Seidlerová, J.; Šafářová, K.; Filip, P. On airborne nano/micro-sized wear particles released from low-metallic automotive brakes. Environ. Pollut. 2011, 159, 998–1006. [Google Scholar] [CrossRef]
  39. Alemani, M.; Wahlström, J.; Olofsson, U. On the influence of car brake system parameters on particulate matter emissions. Wear 2018, 396–397, 67–74. [Google Scholar] [CrossRef]
  40. Wahlström, J.; Lyu, Y.; Matjeka, V.; Söderberg, A. A pin-on-disc tribometer study of disc brake contact pairs with respect to wear and airborne particle emissions. Wear 2017, 384, 124–130. [Google Scholar] [CrossRef]
  41. Ma, J.; Olofsson, U.; Lyu, Y.; Wahlström, J.; Åström, A.H.; Tu, M. A Comparison of Airborne Particles Generated from Disk Brake Contacts: Induction Versus Frictional Heating. Tribol. Lett. 2020, 68, 1–13. [Google Scholar] [CrossRef] [Green Version]
  42. Vasiljević, S.; Glišović, J.; Stojanović, B.; Vencl, A. Review of the coatings used for brake discs regarding their wear resistance and environmental effect. Proc. Inst. Mech. Eng. Part J-J. Eng. Tribol. 2022, 236, 1932–1949. [Google Scholar] [CrossRef]
Figure 1. (a) Onboard sampling setup for measurement of non-exhaust emissions. The setup includes separate tire and brake housings, a ventilation system, and sensors for vehicle parameters. (b) Closed sampling system for brake wear particles and the connected measurement instrumentation (TSI 3330 Optical Particle Sizer (OPS), TSI 3752 Condensation Particle Counter (CPC), TSI 3090 Engine Exhaust Particle Sizer (EEPS), Electric Low Pressure Impactor (ELPI)).
Figure 1. (a) Onboard sampling setup for measurement of non-exhaust emissions. The setup includes separate tire and brake housings, a ventilation system, and sensors for vehicle parameters. (b) Closed sampling system for brake wear particles and the connected measurement instrumentation (TSI 3330 Optical Particle Sizer (OPS), TSI 3752 Condensation Particle Counter (CPC), TSI 3090 Engine Exhaust Particle Sizer (EEPS), Electric Low Pressure Impactor (ELPI)).
Atmosphere 14 00488 g001
Figure 2. (a) Brake temperatures for the on-road reference test without brake housing (red) and the tests using the chassis dynamometer with brake housing (blue colors) at different air flows. (b) Maximum and average brake temperature of the reference run (lines) and the dynamometer tests according the set ventilation level.
Figure 2. (a) Brake temperatures for the on-road reference test without brake housing (red) and the tests using the chassis dynamometer with brake housing (blue colors) at different air flows. (b) Maximum and average brake temperature of the reference run (lines) and the dynamometer tests according the set ventilation level.
Atmosphere 14 00488 g002
Figure 3. (a) Test cycle to characterize brake particle emissions for acceleration, constant speed, and braking. Displayed is the particle size distribution measured by the EEPS as well as the particle number concentration from the CPC and OPS during the test cycle. (b) Size distribution from the EEPS for different driving situations: constant speed of 120 km/h, deceleration, and stationary.
Figure 3. (a) Test cycle to characterize brake particle emissions for acceleration, constant speed, and braking. Displayed is the particle size distribution measured by the EEPS as well as the particle number concentration from the CPC and OPS during the test cycle. (b) Size distribution from the EEPS for different driving situations: constant speed of 120 km/h, deceleration, and stationary.
Atmosphere 14 00488 g003
Figure 4. Test cycle with continual braking events to characterize airborne particle emissions at high brake temperatures. (a) Particle number concentration and particle size distribution measured during the test cycle by the CPC and EEPS, respectively. (b) Size distribution from the EEPS for brake temperatures. The averaged time period is indicated by the same color in (a).
Figure 4. Test cycle with continual braking events to characterize airborne particle emissions at high brake temperatures. (a) Particle number concentration and particle size distribution measured during the test cycle by the CPC and EEPS, respectively. (b) Size distribution from the EEPS for brake temperatures. The averaged time period is indicated by the same color in (a).
Atmosphere 14 00488 g004
Figure 5. Comparison of airborne particle emissions for three driving cycles with and without recuperation. Ultrafine and fine particle number concentration from a CPC with a particle diameter between 4 nm and 3 μm, and coarse particles between 300 nm and 10 μm detected by an OPS. Vehicle and brake parameters included the velocity of the vehicle, pressure of the hydraulic brake, and brake temperature.
Figure 5. Comparison of airborne particle emissions for three driving cycles with and without recuperation. Ultrafine and fine particle number concentration from a CPC with a particle diameter between 4 nm and 3 μm, and coarse particles between 300 nm and 10 μm detected by an OPS. Vehicle and brake parameters included the velocity of the vehicle, pressure of the hydraulic brake, and brake temperature.
Atmosphere 14 00488 g005
Figure 6. Original cast-iron brake disc and the brake disc with a hard coating. The discs were coated by ARS Autoteile GmbH (now FRENOZA GmbH).
Figure 6. Original cast-iron brake disc and the brake disc with a hard coating. The discs were coated by ARS Autoteile GmbH (now FRENOZA GmbH).
Atmosphere 14 00488 g006
Figure 7. Comparison of airborne particle emissions for three driving cycles with the original and a coated brake disc. Ultrafine/fine particle number concentrations for particle diameters between 4 nm and 3 μm and coarse particles between 300 nm and 10 μm, measured by the CPC and OPS, respectively. Vehicle and brake parameters included the velocity of the vehicle, pressure of the hydraulic brake, and brake temperature.
Figure 7. Comparison of airborne particle emissions for three driving cycles with the original and a coated brake disc. Ultrafine/fine particle number concentrations for particle diameters between 4 nm and 3 μm and coarse particles between 300 nm and 10 μm, measured by the CPC and OPS, respectively. Vehicle and brake parameters included the velocity of the vehicle, pressure of the hydraulic brake, and brake temperature.
Atmosphere 14 00488 g007
Table 1. Key parameters of the investigated driving cycles: WLTC Class 3b, WLTC Brake, and a real driving cycle.
Table 1. Key parameters of the investigated driving cycles: WLTC Class 3b, WLTC Brake, and a real driving cycle.
Driving CycleTime [s]Distance [km]Mean Velocity [km/h]Max. Velocity [km/h]
WLTC Class 3180023.246.5131
WLTC Brake Part 10527264.744.2132.5
Real Driving Cycle361947.447.2111.1
Table 2. Particle number emission indices for three driving cycles and particle number reduction due to recuperation. Ultrafine/fine particle emissions measured using a CPC for particle diameters between 4 nm and 3 μm and coarse particle diameters between 300 nm and 10 μm detected using an OPS.
Table 2. Particle number emission indices for three driving cycles and particle number reduction due to recuperation. Ultrafine/fine particle emissions measured using a CPC for particle diameters between 4 nm and 3 μm and coarse particle diameters between 300 nm and 10 μm detected using an OPS.
Driving Cycle PN Emissions from
One Rear-Axle Brake [#/km]
Reduction in PN Emissions
Due to Recuperation [%]
Reduction in
Braking Events [%]
4–3 μm300–10 μm4–3 μm300–10 μm
WLTC Class 3b95.8 1.63 × 10 8 1.29 × 10 8 65.467.9
WLTC Brake Part 1088.5 5.11 × 10 8 4.27 × 10 8 4.3−15.2
real driving cycle87.7 4.10 × 10 8 3.45 × 10 8 89.834.6
Table 3. Particle number emission indices for three driving cycles and particle number reductions resulting from coating.
Table 3. Particle number emission indices for three driving cycles and particle number reductions resulting from coating.
Driving CyclePN Emissions from One Rear-Axle Brake [#/km]Reduction in PN Emissions
Due to Coating [%]
4–3 μm300–10 μm4–3 μm300–10 μm
WLTC Class 3b 1.33 × 10 8 8.50 × 10 7 18.533.9
WLTC Brake Part 10 1.45 × 10 8 9.38 × 10 7 71.778
Real Driving Cycle 8.64 × 10 7 5.85 × 10 7 78.983
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Bondorf, L.; Köhler, L.; Grein, T.; Epple, F.; Philipps, F.; Aigner, M.; Schripp, T. Airborne Brake Wear Emissions from a Battery Electric Vehicle. Atmosphere 2023, 14, 488. https://doi.org/10.3390/atmos14030488

AMA Style

Bondorf L, Köhler L, Grein T, Epple F, Philipps F, Aigner M, Schripp T. Airborne Brake Wear Emissions from a Battery Electric Vehicle. Atmosphere. 2023; 14(3):488. https://doi.org/10.3390/atmos14030488

Chicago/Turabian Style

Bondorf, Linda, Lennart Köhler, Tobias Grein, Fabius Epple, Franz Philipps, Manfred Aigner, and Tobias Schripp. 2023. "Airborne Brake Wear Emissions from a Battery Electric Vehicle" Atmosphere 14, no. 3: 488. https://doi.org/10.3390/atmos14030488

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop