1. Introduction
Air pollution is a global concern, due to the increase in temperature as the result of greenhouse gases. Since the United Nations Climate Change Conference (COP21), 194 countries have set out to reduce emissions, especially of carbon dioxide (CO
2). The European Union plans to eliminate carbon emissions by 2050 and reduce greenhouse gases by 40% by 2030 to keep the global average temperature below 2 °C [
1]. It should be emphasised that technological development must be encouraged as a key strategy to achieve the COP21 strategies for the benefit of the environment and to promote economic growth and sustainable development in any industrial sector [
2]. Considering that the transport sector has been the one with the largest increase in greenhouse gas emissions [
3], vehicle emissions regulations are becoming increasingly stringent, aiming to reduce pollution levels. To comply with this, manufacturers take different measures and follow technological improvements, such as mechanical and electronic improvements, to make combustion as stoichiometric and clean as possible.
Regulations, such as the Euro emission and safety standards, have led to increased research in the last decade to improve engines, due to limited fuel resources and environmental concerns [
4]. Research has led to the development of new combustion technologies, which are not only efficient but also environmentally friendly [
5]. One of the working conditions for reducing emissions is to improve the system in technical ways, such as changing the compression ratio, high injection pressures, improved ignition systems, smaller engines, Miller cycle and low-carbon fuels [
6]. This has led to different technologies and engine names depending on the type of injection, and cylinder layout, among others.
Manufacturers have developed various systems, including the MPFI (Multipoint Fuel Injection) engine, also known as MPI (Multipoint Injection), MFI (Multipoint Fuel Injection) or MI (Multipoint Injection). This widely adopted system is noted for its combustion efficiency, achieved through an electronic injection that provides a specific injector for each cylinder. The distinguishing feature of MPFI lies in its ability to achieve a virtually homogeneous premix of air and fuel, maintaining a stoichiometric ratio within the combustion chamber. This approach not only improves fuel combustion efficiency but also has significant environmental benefits by avoiding and reducing particulate emissions. As a result, soot production is reduced to virtually negligible levels, contributing to a cleaner and more environmentally friendly operation [
7].
Ling et al. [
8], show that making changes in engine operation, especially the ignition control model is a variation in the electronic system aimed at adjusting the desired parameters. Adjusting the advance or retard timing of ignition reduces unburned hydrocarbons (HC) and nitrous oxides (NO
x) emissions but if the timing is inadequate could cause an explosion, decrease performance, and increase fuel consumption. Electronics are key to engine design, seeking to do more with less fuel, helping engineers and programmers to simulate how small changes affect the functional requirements of the vehicle [
9]. Researchers Pla et al. [
10] designed an ignition advance system with injection mapping combined with an engine knock estimator, resulting in an increase in thermal efficiency of 5% to 7% at steady state conditions, leading to lower fuel consumption, lower emissions, and improved engine performance.
Balazadeh et al. [
11] highlight that technological advances to increase engine efficiency and reduce vehicle drag and different powertrain configurations achieve significant greenhouse gas reductions in the transport sector. In their study “Advances in Vehicle and Powertrain Efficiency of Long-Haul Commercial Vehicles: A Review” by configuring engine, powertrain, and design parameters in heavy transport, they achieved a reduction in fuel consumption, increasing the distance travelled by 100–150%. Another study [
12]: “Computational investigations on MPFI engine fuelled blended ethanol, H
2O based Micro-emulsions, and conventional gasoline” considers the high demand for oil and the use of software and different fuels to change the electronics and performance. It reduces emissions and improves performance as well as engine temperature. In this paper, the researcher Qadiri used 85% ethanol, 10% gasoline and 5% water with a computer program, achieving a reduction in HC of 0.0040 kg/kW-h (kilograms per kilowatt-hour). At 100% engine load, NO
x is 0.004 kg/kW-h and carbon monoxide (CO) is approximately 0.0001 kg/kW-h, which is in line with exhaust emission standards. Savickas et al. [
13] apply telemetric analysis for the measurement of emissions in harvesters since agriculture and transport have a high impact on greenhouse gas emissions. In this way, thanks to the tool implemented by the researchers, the farmer can estimate the performance of the harvester and thus evaluate the performance in terms of CO
2 emitted. It cannot be ignored that, in addition to fuel, modification of the electrical parameters affects the combustion quality. The brain that controls the engine, working behind all the electric and electronic systems, is the Engine Control Unit (ECU), which activates the main actuators that affect efficiency and fuel economy.
Electronic injection has not only been involved in improved engine performance, but it has also influenced emission control, and its operation depends on information received by the ECU from sensors [
14]. To adjust the injection parameters, it is necessary to vary the engine electronics and make the actuators work according to the signals sent by reprogramming. Since the ECU controls these signals, it is their operation that must be reprogrammed.
However, engines already incorporate a control unit with preset parameters and are not programmable, so there are units on the market that can be reprogrammed. Any vehicle with an ECU can be reprogrammed for different performances. This adjustment achieves power increase and improvement of other elements, shaping the behaviour and performance of the vehicle, depending on what the user wishes to modify [
15]. The fundamental control constants to be considered in engine operation are injection type, ignition type, oxygen sensor configuration, fuel characteristics, and number of injectors, among others [
16]. The control unit of a programmable ECU will control the amount of fuel dosed to each cylinder depending on engine speed and air inlet pressure, which can be varied in a spreadsheet that allows the injection values to be modified [
17].
The programmable ECU varies the injection and ignition process by interpolating data to build a tuning function that improves engine performance [
18]. Thanks to the information collected, fuel consumption can be optimised, providing a suitable air-fuel mixture according to the driver’s needs, injecting more or less fuel, meeting the demands and without the vehicle losing power. It is important to emphasise that if one or more sensors are faulty, the signals will be erroneous, affecting the engine and its internal components [
19]. Environmental factors must also be considered when programming. The original ECU has standard values for engines at sea level, however, air density and temperature do affect engine performance [
20]. The manufacturer will not have a different map according to the environmental zones and conditions under which the vehicle will be used, so when reprogramming it is important to reconcile not only internal but also external factors.
In the Ecuadorian context, manufacturers do not analyse the external factors of the areas where their vehicles will be used, such as air quality, fuel quality, height above sea level and geographical location. To address the problem, variations in the parameters have been studied by installing a programmable ECU, designing a map that is suitable for the actual external conditions of the vehicle and developing an appropriate driving cycle by adjusting it to the geography. Still, such research has not been sufficiently explored in the Ecuadorian context, and that is the problem that this research seeks to address. According to Gadvay et al. [
21], reprogramming can be used to reduce emissions or fuel consumption, and their research has shown that varying the injection parameters to control emissions does not reduce torque or power, using the Race Evo programme and a dynamometric bench to prove their hypothesis. On the other hand, the researchers Montúfar et al. [
22] achieved a reduction of fuel consumption from 0.265 to 0.1786 gallons with such modification on the route they studied. It can be shown that implementing a programmable module allows the engine map to be optimised to reduce emissions [
23].
On the other hand, J. Cevallos [
24] adapted different injection maps considering 2800 metres above sea level (masl), as a result, at idle speed the engine emitted 0.12% CO, 220% HC, 11.1% CO
2 and 0.30% oxygen (O
2), and at full load (2500 min
−1) 0.03% CO, 115% HC, 11.1% CO
2 and 0.50% O
2. This successfully complies with national regulations. It is therefore considered viable to install a reprogrammable ECU that allows the necessary engine parameters to be varied to increase efficiency and reduce emissions.
There are several brands of reprogrammable ECUs available. For this study, the Pandoo brand will be used with its Box Inject ECU module. To control the throttle body and ignition system it will be used alongside two systems in addition to the main module. The programming software, with the latest available version 1.55, allows the three-dimensional maps to be modified according to volumetric efficiency and ignition advance, obtaining the zones that need to be repowered to optimise the engine’s characteristic curves [
25].
Another parameter to consider is that fuel injection also depends on the catalytic system because the catalytic system is complemented by a lambda sensor that monitors the amount of oxygen in the exhaust gases, thus the ECU regulates the air-fuel ratio so that the catalyst operates at a stoichiometric mixture and 100% efficiency [
26].
The utilization of the lambda sensor for monitoring oxygen levels in the exhaust gasses plays a pivotal role in facilitating the catalyst’s effective oxidation of CO and HC. Additionally, this monitoring contributes to the decomposition of NO
x, enhancing overall catalytic efficiency [
27]. Since catalytic converters began to be used, the reduction of gases emitted by vehicles has been noted, and with recent advances in their durability and efficiency, they are relied upon to reduce pollution [
28]. The working temperature of the catalytic converter is critical because when it is suitable, its work is more efficient. According to Gasser et al. [
29] in their study “Optimal Temperature Control in a Catalytic Converter”, there is a minimum limit to work properly and a maximum limit to avoid damage.
The ideal working temperature of a catalyst ranges from 300 °C to 800 °C and a lambda close to 1 for the catalyst to work properly. Researchers Brinklow et al. [
30] performed a test without activating a cylinder and with an open cycle, using a three-way catalyst, achieving a reduction of CO from 6300 parts per million (ppm) to 5000 ppm, indicating an increase in combustion efficiency due to the oxidation of carbon to CO
2.
Structurally, the catalyst contains platinum (P
t) or palladium (P
d) for oxidation reactions, and rhodium metal (R
h) for NO
x reduction. The monoliths it contains also affect catalyst performance. According to Rood et al. [
31], a zeolite monolith catalyst traps an estimated 85% of HC, whereas a traditional zeolite monolith catalyst with cordierite only traps 65% of HC.
Within this framework, the study of the fluctuations in parameters such as engine load, injection pulse, and catalytic system for emission control is instrumental in advancing superior systems. This, in turn, leads to the development of more efficient engines in terms of performance, ensuring continued compliance with the most stringent standards. Notably, consideration will be given to Euro 3, Euro 4, and Euro 5 catalytic converters, prevalent in Ecuador. Recognising that the lifespan of catalytic converters significantly impacts emission outcomes, any saturation or reduction in efficiency could result in the release of harmful emissions and particulate matter into the environment.
3. Uncertainty Analysis
To ensure that the data obtained do not have a significant margin of error, an uncertainty analysis was carried out, considering the percentage of reading error in the equipment used. The values are specified in
Table 10.
The total error of the study is 0.59%. This value is minimal and acceptable, it does not influence significantly the results obtained at the end of the study.
The distance is a parameter that increases the uncertainty factor of the emissivity of the material, which in this case is negligible, since according to the configuration of the thermographic camera, it specifies the distance and the emissivity range, with the lowest percentage of error for the material analysed.
Objects with changes of shape on their surface denote an altered shape, therefore, they were placed with a thermal paint with a matte finish, decreasing the dispersion, to generate a better emissivity. This allows a better range of measurement according to the features of measurement of the camera, since the emissivity factor on surfaces painted with thermal paint, improve the emissivity and thermal radiation of the material.
In addition to this, the material has been selected, which in this case is for a rough surface at 50 °C, with these pre-set configurations the camera can take the values properly, self-calculating emissivity from a range of 0.95 to 0.98, and with the temperature taken the highest emissivity value was 0.98, to avoid measurement errors it was also configured that the measurement distance is 1 m between the material and the camera.
The emissivity does depend on the temperature, but when using the thermal imaging camera, the user does not need to know the calculation ratios of temperature, radioactivity or emissivity, because the camera software calculates everything by itself, only the configuration must be set correctly [
47].
With all the elements listed above, the efficiency of the engine can be improved, and the results of the study will be evaluated below.
4. Results
The injection pulse variation has been started, with the Euro 3 generation catalytic converter installed and continued with the other catalytic converters thereafter. The configurations realised are summarised in
Table 11 below. The whole injection map works according to engine revolutions and engine vacuum, read by the Manifold Absolute Pressure sensor (MAP).
For each map, the injection and ignition values increase so that the engine has sufficient load and can work properly under the set conditions with each catalytic converter.
For the catalytic converter to function efficiently, it needs to reach an optimum operating temperature of more than 300 °C [
42]. With the help of the Fotric thermographic camera, images of the catalytic systems are taken to verify that the catalytic ceramics are in a suitable temperature range.
Figure 6 shows how the catalytic converter is installed (catalytic Euro 3
Figure 6a, catalytic Euro 4
Figure 6b and catalytic Euro 5
Figure 6c), close to the exhaust manifold to take advantage of the temperature at which the combustion gases leave the exhaust.
In each evolution of the catalytic converter, the aim has been to get them closer and closer to the engine to reach operating temperature as soon as possible and thus functioning correctly. Two measuring points have been placed on the thermographic camera, sp1 at the exhaust manifold and sp2 before the catalytic converter, as seen in
Figure 7 (catalytic Euro 3
Figure 7a, catalytic Euro 4
Figure 7b and catalytic Euro 5
Figure 7c), to verify the temperature at which the exhaust gases reach the ceramics of the catalytic filter.
The results of the measuring points according to the thermographic camera and the maximum temperature reached in the system are shown in
Table 12.
After analysing the emissions graphically, we will compare and verify whether the vehicle complies with the regulations of the Quito Vehicle Technical Inspection (RTV).
According to the RTV [
45], to take emissions at idle speed, the vehicle must wait until it is at normal operating temperature and then enter the gas analyser probe. On the other hand, for a full load, in gasoline engines, accelerate the vehicle to 2500 min
−1 for 10 s and the probe will take the measurement.
The gas analyser takes the measurement every 3 s, a total of 5 data points have been taken in 15 s for each emitted gas to make a comparison between the different maps and catalysts.
First, to analyse what happened to HC emissions in each system, with the following data from
Table 13.
Figure 8 shows that the engine without a catalytic system generates HC emissions of 48 ppm denoted by the blue line ranging from 47 ppm to 49 ppm because there is no after-treatment system. These values are achieved only by reprogramming the injection parameters, which shows the difference when using a catalytic system with an indirect injection map. For Euro 3 catalytic converter the emission is around 17 ppm indicated by the red line ranging from 16 ppm to 18 ppm as a result of reprogramming and the catalytic system. For Euro 4 catalytic converter it increases slightly and is recorded at 20 ppm denoted by the purple line ranging from 18 ppm to 22 ppm, with this result it is recognised that combustion needs to be improved for this system. However, the Euro 5 catalyst combined with the previously selected injection map performed very well, achieving 10 ppm HC denoted by the black line ranging from 9 ppm to 11 ppm, which is a significant reduction compared to the other configurations evaluated. These results show the effectiveness of Euro 5 catalytic converters in reducing hydrocarbon emissions and highlight the importance of choosing the right composition to optimise the environmental performance of the engine.
The next parameter to be checked is the CO emissions, taken in a time of 15 s and according to each system adapted to the engine. The results can be seen in
Table 14.
Figure 9 shows the CO emissions of each system analysed. According to the findings, only the engine with the silencer emits 0.15% CO indicated by the blue line, ranging from 0% to 0.26%. On the other hand, the introduction of Euro 3 catalytic converters reduces these emissions to 0.07% indicated by the red line, in a range of 0% to 0.2% which decreases further to not using a catalyst. The system using the Euro 4 catalytic converter achieved a greater reduction, registering only 0.05% CO denoted by the purple line, in a range of 0% to 0.1% which further decreases CO. With the Euro 5 catalytic converter, CO went down to 0.03%, indicating an improvement in the combustion of the gases denoted by the black line, in the range of 0% to 0.1% with more tendency to neutrality, showing a better result than with the other configurations. This work shows the continued relevance of the use of catalytic systems to reduce this gas.
One of the methods that helps determine the combustion efficiency in the engine is measuring the concentration of gases such as O
2 [
48]. To collect the data on the O
2 content in the exhaust gases, a lambda sensor is used to monitor the values, which allows the fuel content to be known, as well as the behaviour of the catalytic converter, which is given by the air-fuel mixture. Therefore, some catalytic converters also reduce oxygen according to the operating conditions, releasing it when its presence is low [
49]. A very low oxygen value indicates that the mixture has more fuel than air and a very high value indicates that it has more air than fuel, so at neither extreme is combustion efficient. When the oxygen and carbon monoxide values intersect, it means that the mixture is stoichiometric and therefore the combustion is very efficient.
The O
2 emissions for each of the maps and their catalysts are presented in
Table 15. In brief, a difference can be seen, with the value decreasing according to the catalyst technology.
Figure 10 shows that without the use of a catalyst (the blue line) the values range between 1.23% to 1.45%, O
2 emissions reach 1.39%, and the difference with the Euro 3 catalyst is not so large indicated by the red line in a range of 1.27% to 1.29%, as it is 1.28% in average, indicating that the mixture is very poor. With the Euro 4 catalytic converter, there is a more noticeable change, emitting 0.79% indicated by the purple line in a range of 0.74% to 0.84% and with the Euro 5 catalytic converter there is a reduction of up to 0.81% of O
2, indicated by the purple line in a range of 0.7% to 0.84%.
The NO
x emissions for each of the maps and their catalysts are presented in
Table 16.
Figure 11 indicates that the NO
x values do not exceed 1 ppm and the results range between 0 ppm and 1 ppm in this regime in any case. Both nitrogen and oxygen enter the engine through the air, and NO
x is formed due to combustion. No NO
x is emitted without the use of a catalyst, as shown in the blue line. But for the other systems, the combustion temperature increases due to the pressure exerted on the exhaust manifold when using a catalyst, causing the NO
x to oscillate between 0 ppm and 1 ppm as shown in the lines in
Figure 11.
The last gas analysed is CO
2, which is the main greenhouse gas, but the most difficult to control. According to EPA [
50], most CO
2 comes from the air, not the fuel, and upon combustion, hydrogen combines with oxygen to form water, while carbon combines with oxygen to form CO
2. The results obtained at idle speed are shown in
Table 17.
Contrary to the previous tests, in this case, the CO
2 is low without the use of a catalyst. If the mixture is very lean or very rich, the CO
2 value is lower than when the air-fuel ratio is stoichiometric. Considering that the O
2 data are higher than in the other systems, then it is a lean mixture. As indicated in
Figure 12, the blue line ranges from 8.7% to 8.8%, but for the other systems the value increases, with the Euro 3 system in the range of 13.5% to 13.6% (the red line), the same for the Euro 4 system (purple line) within the same range of 13.5% to 13.6%. For the Euro 5 system (black line), this factor decreases, entering a range of 13.3% to 13.4%.
Figure 12 shows the results of CO
2 and how they behave through time.
The full load HC values are presented below in
Table 18, taken over a time of 15 s for each catalyst configuration and injection parameter.
In
Figure 13 the HC emissions are still below the limit. With the engine without a catalytic converter 41 ppm HC was achieved as indicated by the blue line, in the range of 37 ppm to 46 ppm, which is a very high value in contrast to the other systems, but with the catalytic converter, there is a significant reduction. With the Euro 3 catalytic converter, 23 ppm were achieved as indicated by the red line, in the range of 20 ppm to 27 ppm, which significantly reduces this value, with the Euro 4 catalytic converter 18 ppm as noted on the purple line, in the range of 17 ppm to 20 ppm. With the Euro 5 catalytic converter, only 2 ppm HC were achieved as illustrated by the black line, in the range of 1 ppm to 5 ppm, achieving a significant improvement over the other systems, thanks to the modification of the injection parameters and the use of a Euro 5 generation catalytic converter.
For CO emissions the following values are obtained, throughout 15 s in each system.
Table 19 shows the CO results at full load.
Figure 14 shows CO emissions. When there is no catalyst, emissions are reduced to 0.19%, indicated on the blue line, which ranges from 0.18% to 0.21%, which is a good result but was further improved by using catalysts. With the Euro 3 catalyst, the average value is 0.01% as indicated on the red line, ranging from 0.1% to 0.2%, which improved even more than without using a catalyst. While the Euro 4 catalyst produces 0.03% indicated by the purple line, ranging from 0.2% to 0.4%, increasing the value at full load, the same case happened with the Euro 5 system, black line, ranging from 0.1% to 0.3% and an average value of 0.02%, indicating that there are not enough oxygen molecules to form CO
2 and therefore CO increases slightly.
The full load O
2 values are presented below in
Table 20, taken over a time of 15 s for each catalyst configuration and injection parameter.
According to
Figure 15, the emissions performance without using a catalyst reaches 6.27% O
2 which means a very poor mix at full load, the range shown by the red line is between 5.89% to 6.93%, which is very high. This value is followed by the Euro 5 catalyst. Although it reduced the previous emissions, it was not the one that produced the least O
2, reaching 2.75%, indicating that the air-fuel mixture has more air than fuel, as indicated by the black line, which ranges from 2.49% to 2.91%. With the Euro 3 catalytic converter it decreased to 2% as indicated by the red line with ranges from 1.87% to 2.13% and with the Euro 4 catalytic converter it dropped to 2.02% O
2 as represented by the purple line with ranges from 1.96% to 2.17%.
The same tests shall be carried out to monitor NO
x emissions, but with the engine at full load, 2500 min
−1. The time the engine will be kept at full load will be 10 s and the values will be taken in 15 s and 5 data points will be obtained.
Table 21 shows the NO
x results at full load.
At full load, the NO
x values are higher, as shown in
Table 21, in contrast to the almost zero values when the vehicle is idling. The values depend on the combustion temperature, the higher the combustion temperature, the higher the values, and the temperature is a function of the load [
51]. This is why the values in
Table 21 increased compared to
Table 16.
Figure 16 provides a better approach to the NO
x behaviour. Without using a catalyst, NO
x reaches an average value of 44.83 ppm, following the blue line within a range of 25 ppm to 51 ppm. This result is followed by the Euro 5 system with 32.83 ppm, black line, with values between 30 ppm to 36 ppm. The Euro 4 system reached 24.67 ppm, purple line, within a range of values from 22 ppm to 27 ppm. With the Euro 3 system, the best result was obtained, reaching only 12.17 ppm, as shown in the red line, the values are in the range of 4 ppm to 19 ppm, i.e., the combustion temperature is not as high as in the other cases.
Tests at full load to measure CO
2 were carried out following the same criteria as for the other gases, obtaining the results shown in
Table 22.
Figure 17 illustrates the behaviour of CO
2, showing the difference between the systems. Without a catalytic converter, the CO
2 values remain low, as in the idle test as illustrated by the red line, with a range of values between 10.7% to 11%, the air-fuel ratio in the case of the system without a catalyst is still very poor, as evidenced by the O
2 values, therefore CO
2 is still low. With the Euro 5 catalytic converter, the second lowest value was obtained with an average value of 12.18%, black line, with data ranging from 12.1% to 12.2%. With the Euro 4 system, the value obtained was 12.43%, following the purple line in a range of 12.4% to 12.5%. With the Euro 3 system, this value increased to 13.35%, as shown in the red line, with values fluctuating between 13% and 13.5%.
The following table shows the data accepted by the Quito Vehicle Technical Inspection with a type 0 rating, which means that the vehicle complies with inspection without any error or problem and will be compared with each configuration carried out.
Table 23 presents the data summarised and compared with the Ecuadorian regulations at idling speed. Although the Vehicle Technical Inspection does not regulate NO
x emissions in gas vehicles, the table shows the range according to the generation of the catalytic converter according to the Euro regulation, only for the case of NO
x.
According to
Table 23, only by varying the injection parameters the engine without a catalytic converter passed the idling phase. While using catalytic converters apart from the variation with the programmable ECU, it also passes and further reduces the exhaust values. At full load, the data are summarised in
Table 24, and as in
Table 23, for the range of NO
x the Euro limits are considered according to the catalytic generation.
According to
Table 24, all cases pass the Technical Inspection except in the system without a catalytic converter with the load above the established O
2 limit. This means that the mixture is lean. Similarly, the NO
x are well below the limit of the standards proposed by the Euro regulations of the respective generations. CO
2 is not yet regulated by either the Ecuadorian or the Euro standards.
5. Discussion
Once the tests are completed, the results obtained are analysed with the standard injection parameters in
Table 25. The average of each gas emitted in 15 s is calculated for comparison.
The disparity of the results is remarkable; the data obtained with the standard injection parameters significantly exceeds the values achieved with various configurations including the Box Inject ECU and catalytic converters, resulting in substantial reductions in emission percentages. A summary of the emission reduction percentages is presented in
Table 26, which underlines the importance of dynamic implementation in emission control. This involves adjusting operating methods and modifying the injection plan to achieve significant improvements in environmental performance.
Excellent performance was achieved with an injection map designed for Euro 5 catalytic converters, achieving a high reduction ratio, and maintaining adequate engine performance.
Under ideal thermal conditions, the gaseous products are N
2, CO
2, H
2O and O
2. However, combustion is not ideal and produces harmful gases [
52].
HCs result from incomplete combustion, which means that the fuel has not burned completely. CO is formed in very rich mixtures when there are not enough O2 molecules to form CO2. The O2 content is an indicator of the stoichiometry of the air-fuel mixture, with low O2 values being optimal. However, a very high value means that the mixture is too poor. A good target is to keep O2 and CO close to zero, different values indicate a very rich or lean mixture. As with O2, CO2 also indicates combustion efficiency, because the higher it is, the closer the air-fuel mixture is to the ideal value. NOx is formed by combining N2 and O2 due to the combustion temperature and is also higher when the mixture is slightly lean.
The introduction of the Euro 5 scheme and the catalytic converter significantly improved emission parameters. HC levels fell from 246 ppm to 10 ppm, an impressive 95.93% reduction. Likewise, CO is significantly reduced from 0.39% to only 0.03%, an impressive reduction of 92.31%. At the same time, the basic O2 content was significantly reduced from 1.47% to 0.81%, achieving an impressive reduction of 44.90%. While admitting that there is room for improvement, the reduction in O2 levels indicates a poor mixture, indicating that the injection parameters can be modified. However, a thorough analysis confirmed that the best configuration is in the Euro 5 scheme and the catalytic converter. This configuration is not under Ecuadorian laws, but it maintains the integrity of the machine.