Next Article in Journal
Synthesis and Application of Heterogeneous Catalysts Based on Heteropolyacids for 5-Hydroxymethylfurfural Production from Glucose
Previous Article in Journal
Practical Application Study for Precision Improvement Plan for Energy Storage Devices Based on Iterative Methods
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

A Study of Optimal Refrigerant Charge Amount Determination for Air-Conditioning Heat Pump System in Electric Vehicles

1
School of Energy and Power Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China
2
Key Laboratory of Multiphase Flow and Heat Transfer in Shanghai Power Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China
*
Author to whom correspondence should be addressed.
Energies 2020, 13(3), 657; https://doi.org/10.3390/en13030657
Submission received: 25 December 2019 / Revised: 15 January 2020 / Accepted: 22 January 2020 / Published: 4 February 2020
(This article belongs to the Section E: Electric Vehicles)

Abstract

:
With regard to concerns about an electric vehicle’s driving range extension in a cold climate, an air-conditioning heat pump (ACHP) shows considerable advantage over thermoelectric heaters for battery energy conservation. The effect of refrigerant charge amount for cooling and heating performance of the ACHP system is significant. The optimal charge, realizing the optimal system performance, is usually determined by experiments of cooling and heating performance. In this paper, the optimal charge determination process based on a newly designed ACHP applied in electric vehicles was introduced. Relationships of characteristics with charge in two modes were investigated by experimental and theoretical methods. Firstly, the performance of the ACHP system was respectively investigated at different charge amounts in cooling and heating operating conditions according to key parameters of system cycles. Secondly, the intersection platforms of subcooling and superheat variation curves with refrigerant charge amount were obtained for determining optimal charge amount of the system further by comprehensive analysis. Finally, the theoretical calculation of charge with three instructive and classical void friction correlation models were applied for better comparisons. It was found that charge amount calculated by the Hughmark model proved to be most consistent with the comprehensive experimental results.

Highlights

  • Performance optimization of refrigerant charge for ACHP system applied in electric vehicle with three heat exchangers is investigated.
  • The establishment of the optimal charge platform is defined by a comprehensive experimental method.
  • The results of Hughmark theoretical model of refrigerant charge are verified to be in good agreement with the experimental data.

1. Introduction

Given concerns about greenhouse gas emission reductions and renewable energy conservation, new energy vehicles driven by electric energy have been paid increasing attention due to the substitution of traditional petroleum energy in recent years [1,2,3]. In the field of transportation where energy consumption is very large, it is of great significance for electric energy to replace petroleum energy. The rise of electric vehicles (EVs) has been an inevitable trend of development. Since the driving device of EVs cannot provide a heat source like the internal combustion engine, cabin heating in a cold climate occupies a considerable proportion of the electric energy consumption from a battery leading to drastically shortened driving range [4,5]. To meet this challenge, a vapor compression system with cooling and heating functions is required. This can not only satisfy the comfort requirements of the crew cabin, but also achieve the goal of energy saving. This type of vapor compression system utilizes heat from the environment and shows a significant advantage in energy conservation and driving range improvement in comparison with an electric heater, also known as an air-conditioning heat pump (ACHP). The truth is that investigation on ACHP performance and reliability for EVs is still urgently needed for high standards of the automotives and complicated working conditions [6,7]. In terms of hardware, the performance optimization of the ACHP system includes the optimization of system components, such as compressors, heat exchangers, expansion valves, etc. In the initial stage of system performance matching, these components are determined according to the capability required by the system, such as cooling and heating capacity. After components are determined, cooling and heating performance of the system needs to be evaluated under off-design conditions, which is an important procedure of system optimization [3,4,5,6,7]. Then, the components and piping layout should be optimized to achieve better system performance. In addition, refrigerant charge in an ACHP system is also an important factor in order to adapt to different working conditions and meet the requirements of cooling and heating capacity of the system.
Researchers have studied effect of refrigerant charge on the performance of heat pump and air conditioning systems for a variety of applications. Wang et al. put forward a method to determine the optimal charge platform (OCP) of refrigerant charge, which takes the degree of superheat at evaporator outlet and degree of superheat at compressor suction as evaluation indexes [8]. According to the investigation of José-M et al. [9], the optimal charge of a heat pump depends on the temperature of the heat source. The lower the heat source temperature, the lower the optimal charge quantity. When the subcooling degree is about 5–7 K, COP (coefficient of performance) of the system is optimal regardless the source temperature or sink temperature. Palmiter et al. studied the performance of heat pump systems at different refrigerant charge based on AHRI (Air-Conditioning, Heating, and Refrigeration Institute) Standard 210/240-2008 [10]. The results show that COP of heat-supply season can be increased by 5% with increase of refrigerant charge under rated air flow condition. In order to find out optimal charge quantity of different refrigerants, the performance of the heat pump and the suction pressure of compressor were experimentaly studied by Afshari et al. [11]. At ambient temperature 20–35 °C, the variation of system parameters with different refrigerant charge was studied by Siang et al. [12]. It was found that refrigeration capacity and performance coefficient can be improved by increasing refrigerant charge, while specific refrigeration capacity of the system decreased. The research of charge amount for alternative refrigerants has also attracted the attention of researchers [13]. The correlation between refrigerant charge and system performance was also studied. Some researchers have studied the characteristics of low refrigerant charge in heat exchangers [14,15,16,17]. By optimizing the design, operating conditions and structural parameters of the heat exchanger, lower refrigerant charge can be achieved.
The related theoretical model of refrigerant charge is also widely used to evaluate the performance of the system. Cheung et al. developed a theoretical model to evaluate the effects of under-charged and over-charged refrigerant on system performance [18]. The rated refrigeration capacity, energy input ratio and sensible heat ratio of the system were modified by the relevant model. Based on all available results in the literature, Mehrabi et al. summarized the influence of refrigerant charge failure on single-speed air conditioning and the heat pump system [19]. The generalized relation describing the effect of refrigerant charge failure was established.
From the above literature, it can be seen that refrigerant charge has a great impact on energy consumption of an ACHP system. Driving range is the key factor that restricts the development of pure electric vehicles, so it is necessary to develop an energy-saving and efficient ACHP system. To apply an ACHP system in EVs, optimal refrigerant charge needs to be determined firstly by systematic experiments.
Either excessive charge or insufficient charge could lead to a decrease of the system heating and cooling performance [20,21]. With an increment of refrigerant charged into system, the superheat decreases and subcooling increases constantly. OCP would appear after the intersection of the superheat and subcooling curves, then optimal charge is usually chosen in the amount of refrigerant charged on the OCP with the best system cooling performance. For the ACHP system, optimal charge in heating mode could also be determined through the charge determination experiment, but always being quite different from cooling mode. As the refrigerant charged into system is unique, the optimal charge obtained from charge sensitive experiment emersion is divided into heating and cooling mode. A widely used simple practical solution is to take the optimal charge obtained in heating mode as the system optimal charge [22]. However, as it is quite different from the optimal charge in the cooling mode, the ACHP system could not reach its best cooling performance. A comprehensive refrigerant charge considering system performance should be proposed. Considering the cost and pollution in repeated charge determination, optimal charge determination for an ACHP system still needs further investigation to improve efficiency and reduce cost.
Theoretical methods could also be applied to determine system inner volume and optimal charge for an ACHP system. Charge amount in the single phase refrigerant part of the system including high-pressure tubes, low-pressure tubes and compressor could be calculated easily with its density and inner volume measured. Meanwhile, charge amount in two-phase refrigerant parts in heat exchangers could be estimated with appropriate void friction correlation models as confirmed in previous work [23,24]. These models could be applied for estimation of the charge amount in a heat exchanger with R134a and R1234yf. In confronting EVs’ complicated working conditions, better precision of the optimal charge determination in both heating and cooling mode is still required and there is a lack of experimental validation.
In this work, a newly designed ACHP system was firstly introduced and the charge determination experiments were conducted to obtain OCP with comprehensive consideration of cooling and heating performance. The comprehensive performances at charge amount in the intersecting parts of both charge plateaus were measured to obtain optimal charge. Secondly, theoretical methods including Tandon, Premoli and Hughmark relating to void fraction models were applied to calculate the optimal charge in the system. Comparison and analysis of theoretical and experimental results were made. The results can be used as a guide to determine the optimal refrigerant charge amount of similar vapor compression systems.

2. Experiments and Charge Amount Theoretical Model

2.1. Experimental Principle and System

A new type of experimental platform of a vapor compression system for EV passenger cabin comfort adjustment was built to reveal the effect of refrigerant charge with R134a (tetrafluoroethane) as shown in Figure 1.
Although the R134a has been on the air-conditioning field obsolescence list, the automobile air-conditioning field renewal also needs time. The system consists of two parts, one is the heating, ventilation and air-conditioning (HVAC) module, the other is outdoor unit. The HVAC module consists of two heat exchangers (HEX2 and HEX3) and one positive temperature coefficient (PTC) for heating air, which is used to adjust the functions of cooling and heating, and to achieve requirements of temperature and humidity control in the passenger compartment. The outdoor unit is mainly outdoor cooling module, including heat exchanger (HEX1) and cooling fan. Two solenoid valves (SV1 and SV2) are used for switching cooling and heating functions. One thermostatic expansion valve (TXV) is used in the throttling of refrigerant for evaporative refrigeration when there is a need for cooling, and one electronic expansion valve (EXV) performs same function as TXV when HEX1 is needed as an evaporator. Also, a compressor and a accumulator/dehydrator (A/D) are connected by aluminium alloy pipes. Cooling and heating cycle modes of the system are shown in Figure 2, where red colors represent high pressure part, and blue portions represent low pressure.
Cooling and heating capacity required by the system was designed according to heat load of the vehicle under ambient temperature in winter and summer. The heat load of a vehicle consists of all types of heat transferred. The heat transfer formulas are combined with some empirical parameters. The types and design conditions of each vehicle are quite different. Thereby, the heat exchanger which provides cooling and heating capacity is determined. Of course, the design of a heat exchanger needs to consider the size of the peripherals, especially the internal space of the HVAC module. The capacity of a heat exchanger is checked by a one-dimensional design and calculation method. The selection of the electronic expansion valve and thermal expansion valve is through the flow and capacity of the system. The compressor is supplied by specialized parts suppliers. The compressor has passed the performance test and durability test.
As shown in Figure 3, the experiment is carried out on an air-conditioning enthalpy difference experimental platform, which consists of indoor and outdoor environment chambers with separate temperature and humidity control systems.
The HEX1 is positioned in the outdoor chamber, and the HVAC module which consists of HEX2, HEX3 and TXV is placed in the indoor chamber. The compressor, A/D, flowmeters and valves are mounted on the experimental bench.
A temperature and pressure sensors array were arranged along the pipeline. Considering the pressure loss, two pressure measuring points were located as close as possible to the suction and discharge ports of the compressor. After the thermocouple temperature measuring points were arranged, the pipelines were coated with insulation layers for heat preservation treatment. Further, sensors for measuring temperature and pressure were arranged at the inlet and outlet of the compressor and three heat exchangers. Subsequently, the principle of mass flowmeter arrangement is to measure mass flow rate of liquid refrigerant in the subcooling section. Compressor power was recorded by a power meter. Finally, Figure 4 shows a physical picture of experimental system and device, including the main components described above. The data of measurement points were recorded after the system was stable for at least half an hour.
This layout fully considers the convenience of system connection. Each experimental bench, HVAC module and outdoor chamber can be flexibly adjusted. The connecting pipes of each part can be used to connect each system. A parallel flow microchannel heat exchanger (PFM-HEX) is selected as heat exchanger. The type of fin is the louver structure which is widely used. In order to meet the demand of heat transfer, four paths heat exchanger are adopted. The test conditions are typical in summer and winter.
Equipment parameters are shown in Table 1.
Meanwhile, temperature measurement precision of the refrigerant and air is within ±0.2 °C. The accuracy of the mass flowmeter and the pressure sensor are ±0.2% and ±0.5%, respectively. A pressure-holding test of the experimental system was needed before the experiment begins, with initial 450 g of R134a charged and subsequent increment of 50 g. The air inlet flow of the outdoor crosswind side was controlled to 1600 m3/h. The air inlet flow of the indoor crosswind side were controlled to 350 and 250 m3/h, respectively, under cooling and heating modes. The relative humidity of indoor air inlet under cooling and heating mode was controlled to 40%. The temperature of indoor air inlet under cooling and heating mode were controlled to 27 and 0 °C, respectively. The compressor speed was set to 3000 and 4000 RPM.

2.2. Charge Amount Theoretical Calculation Model

The refrigerant charge of the system includes refrigerants existing in compressors, condensers, evaporators and connecting pipes. Considering the complicated phase change of refrigerants in condensers and evaporators (coexistence of single-phase and two-phase zones), where density cannot be calculated directly in the two-phase region, a parameter of void fraction is introduced for further calculation.
The hypothetical methods for calculating porosity can be found in previous studies [25,26,27]. Three instructive classical models including the Tandon model, the Prelimi empirical formula model, and the mass-flux-dependent empirical model (Hughmark model) would be introduced hereafter.
The formula is shown in Equation (1). The formulas for calculating the charge of each part are shown in Equations (2)–(7). The definition of the void fraction is shown in Equation (8). The tubes of high pressure section are from compressor to condenser and condenser to throttle valve. The tubes of low pressure section are the outlet of the evaporator to A/D (Accumulator/Desiccator). The throttle-to-evaporator and A/D-to-compressor pipes are short enough to be negligible. The single-phase refrigerant charge is calculated in tubes of high pressure and low pressure. The refrigerant charge calculated in condenser and evaporator includes single-phase and two-phase regions.
m t o t a l = m c o m p r e s s o r + m t h p + m t l p + m c o n + m e v p
The total charge amount (mtotal) includes five parts: compressor (mcompressor), tubes of high-pressure (mthp), tubes of low-pressure (mtlp), condenser (mcon) and evaporator (mevp).
m c o m p r e s s o r = ( ρ s u c + ρ d i s ) 2 · V c o m p r e s s o r
The refrigerant charge of the compressor is obtained by multiplying the average values of suction density (ρsuc) and discharge density (ρdis) by the volume of the compressor (Vcompressor).
m t h p = π ( d 2 ) 2 · ( ρ g d l + ρ l d l )
m t l p = m A / D + π ( d 2 ) 2 · ρ l d l
The refrigerant charge in tubes of high pressure consist of two parts, on the premise of knowing the section area of the pipeline. The refrigerant charge is obtained by multiplying the density of gas (ρg) and liquid (ρl) refrigerants by integral along length of the tube. The calculation of refrigerant charge in the low pressure tubes is the same as that in high-pressure tube, which includes the refrigerant charge of A/D (mA/D).
m c o n = m t p + π ( d c o n 2 ) 2 · 0 L g ρ c o n g d l + π ( d c o n 2 ) 2 · 0 L l ρ c o n l d l
m e v p = m t p + π ( d e v p 2 ) 2 · 0 L g ρ e v a g d l
The refrigerant charge of the condenser and evaporator includes a two-phase region (mtp). The condenser contains a refrigerant charge of superheated gas and subcooled liquid. The refrigerant charge in these parts is obtained by multiplying density (ρcong is density of gas section in condenser/ρconl is density of liquid section in condenser/ρevag is density of gas section in evaporator) by the integral along the length of tube (Lg is length of gas section/Ll is length of liquid section), and then by multiplying the cross-sectional area of the tubes.
m t p = π ( d 2 ) 2 0 L t p [ ε ρ g + ( 1 ε ) ρ l ] d l
The calculation of refrigerant mass in two-phase region needs to know density along the length of the tube (ρg is density of gas/ρl is density of liquid). The calculation of void fraction is used to comprehensively consider the effects of gas and liquid refrigerants on density. Ltp represents length of the two-phase section.
In the charge amount theoretical calculation model, ε is void fraction, which is defined as:
ε = d V g / d l d V l / d l = A g A l
where Vg, Vl are volumes of gas section and liquid section in two-phase section, Ag and Al are cross-sectional areas occupied by gas section and liquid section.
Different models for calculating void fraction have been applied. The Tandon calculating model is shown below [26].
50   <   Re L <   1125   ε = [ 1 1.928 R e L 0.315 F ( X t t ) + 0.9293 R e L 0.315 F ( X t t ) 2 ]
Re L   1125   ε = [ 1 0.38 R e L 0.088 F ( X t t ) + 0.361 R e L 0.176 F ( X t t ) 2 ]  
F X t t = 0.15 ( 1 X t t + 2.85 X t t 0.476 )
R e L = ρ u d μ
X t t = ( 1 χ χ ) · [ ( μ l μ g ) 0.2 · ρ g ρ l ] 0.5
Premoli’s calculating model is shown below [27].
ε = 1 1 + ( 1 χ χ ) · ρ g ρ l · S
S = 1 + F 1 ( y 1 + y F 2 y F 2 ) 0.5
F 1 = 1.578 R e L 0.19 ( ρ l ρ g ) 0.22
F 2 = 0.0273 W e L R e L 0.19 ( ρ l ρ g ) 0.08
y = χ 1 χ · ρ l ρ g
Hughmark ‘s calculating model is shown below [27].
ε = K H · β
ln K H = i = 0 4 K i ( l n Z ) i
Z = [ D G μ g + ε ( μ g μ l ) ] 1 / 6 [ 1 g D ( G χ ρ g β ( 1 β ) ) ] 1 / 8
Z = [ D G μ g + ε ( μ g μ l ) ] 1 / 6 [ 1 g D ( G χ ρ g β ( 1 β ) ) ] 1 / 8
K = [ 0.2306 ; 2.384 ;   1.031 ; 0.1994 ;   0.0141 ]
ε = Some of these dimensionless numbers and refrigerant state parameters are shown in the Nomenclatures table.

3. Results and Discussion

3.1. Discharge Pressure and Discharge Temperature Variations

The pressure of a vapor compression system can reflect the state of the system well. For the cooling mode of the air-conditioning system, discharge pressure corresponds to condensation temperature. The condensation temperature has significant impact on compressor power and COP of the system’s cooling capacity. For heating mode of heat pump system, discharge pressure also has a decisive influence on exit temperature of the HVAC module and COP of system heating capacity. The discharge temperature is very important to the operating performance and reliability of compressor. Higher discharge temperature corresponds to lower isentropic efficiency and higher compressor power consumption. The results of discharge pressure variations are shown in Figure 5. The results of discharge temperature variations are shown in Figure 6.
Under cooling and heating modes, variation trends of discharge temperature are the same for different charge quantities. In other word, the evaporation pressure will increase accordingly. That is to say, the suction pressure would also increase. At the same compressor speed, the small changes in pressure ratio lead to increase of discharge pressure. Under the same working conditions, the higher the speed of the compressor, the greater the compression pressure ratio. For the same refrigerant charge, higher compressor speed can result in higher discharge pressure; while for heating mode, high compressor speed corresponds to a large compressor compression ratio. It is found that the compressor discharge pressure changes sharply with the increase of compressor speed.
It is noteworthy that under cooling or heating mode, continuously increasing charge quantity will reduce discharge temperature. This phenomenon is beneficial to the stability of compressor operation. The greater the quantity of refrigerant the system has, the more liquid refrigerant circulation quantity will be due to enhanced heat absorption (superheat of suction decreases). The evaporation pressure increases slightly with the increase of refrigerant charge based on the experimental results. Slightly higher evaporation pressure is a result of more vapor phase refrigerant by more refrigerant quality in the system cycle. Since compression ratio has little change for the same compressor speed, the discharge temperature of the compressor decreases with the increase of the refrigerant charge. Additionally at the same refrigerant charge, the compressor speed shows a greater impact on the discharge temperature of the compressor in the heating mode. The change of discharge temperature corresponds to the drastic change of discharge pressure. These conclusions are consistent with those of previous studies [28,29,30].

3.2. Exit Temperature Variations of Heating, Ventilation and Air-Conditioning (HVAC)

Exit temperature is an important parameter to evaluate comfort especially for the HVAC module. Figure 7 shows the variation of exit temperature of the HVAC module with refrigerant charge.
Exit temperature of the HVAC module in cooling mode of blowing surface gradually increases to stable value. Exit temperature tends to be stable for refrigerant charge exceeding 650 g. At this time, exit temperature can reach 15 °C, which can meet the comfort requirements of a passenger cabin in summer under design conditions. Exit temperature of the HVAC module in the blowing heating mode gradually decreases to stable value. When refrigerant charge reaches to 750 g, the exit temperature also becomes stable, and the minimum exit temperature can reach 14 °C at compressor speed of 4000 r/min. The compressor speed increases but exit temperature decreases, it is obviously due to the impact of reduced discharge pressure.

3.3. Capacity and COP (Coefficient of Performance, Ratio of Capacity to Power) Variations

Figure 8 shows the trend of cooling capacity and heating capacity with refrigerant charge.
In the cooling mode, cooling capacity of the system shows positive correlation with refrigerant charge in the system. When refrigerant is gradually charged to 750 g, the cooling capacity reaches the maximum value of 2.63 kW, which can meet the demand of thermal load in the vehicle in summer. It is found that cooling capacity varies slightly when refrigerant charge continues to increase. The reason is suggested to be the lower mass flow of refrigerant through the evaporator when the charge is insufficient. The heat transfer area of the evaporator can not be fully utilized, resulting in a large overheat at the outlet of the evaporator and a low cooling capacity. With the enlarged refrigerant charge, the mass flow of refrigerant through the evaporator is increasing. So the effective heat transfer area of the evaporator is expanded, accompanied by increasing cooling capacity. Before the cooling capacity reaches its peak, the mass flow rate of refrigerant in the evaporator occupies the dominant position in heat transfer. Also, with the increase of refrigerant, the evaporation temperature rises continuously, which leads to the decrease of heat transfer temperature difference. At this time, the heat transfer temperature difference occupies the domination in heat transfer and restrains the further increase of cooling capacity. This is why the cooling capacity increases slowly or decreases slightly after peaking.
When the system switches to cooling mode, refrigerant charge amount increases gradually, COP reaches its peak at 750 g as shown in Figure 9 with a maximum 3.29.
When the refrigerant charge is further increased, COP remains stable or decreases slightly. This phenomenon is mainly attributed to the weak pressure ratio (of suction and discharge pressure in compressor) changes with the increasing refrigerant charge. As the power of the compressor changes little, so the trend of COP variation is basically consistent with the trend of cooling capacity variation. Similar tendencies were observed for heating mode. When the system is gradually charged to 650 g, the heat capacity reaches the maximum value of 3.19 kW, which supplies the load demand in winter. When charging again, the heating capacity varies slightly. The reason is also that the lower temperature difference of heat transfer in the evaporator has restrained the increase of heating capacity. At the same time, COP is basically the same as that of heat capacity. It increases with the increase of refrigerant charge, reaching a peak value at 650 g of refrigerant charge. At the same time, a maximum COP 3.34 was found for 4000 r/min.

3.4. Subcooling and Superheat Variations

The subcooling degree of condenser outlet and the superheating degree of the evaporator outlet are the most important indicators to judge whether the refrigerant charge is appropriate in an EV (electric vehicle) ACHP system. Figure 10 shows the trend of subcooling and superheating with refrigerant charge.
It shows that for less refrigerant conditon, the relativel small subcooling and large superheating are unfavorable to the performance of the system in operation. With the enlarged refrigerant charge, the subcooling increases and the superheating decreases. In cooling mode, the curves of subcooling and superheating are relatively stable for charge range of 700–750 g, and the curves intersect when the charge is 750 g; while for heating mode, the stable stage appears in the charge range of 650–700 g and intersect at 650 g. This is due to the fact that within this range, cooling capacity has reached its maximum, which means effective heat transfer area of the evaporator has been fully utilized, resulting in stable capacity and COP. Therefore, we choose the intersection point when the subcooling and superheating are relatively stable as the optimal charge of the system, i.e., optimal charges of ACHP system in the cooling and heating mode are 750 g and 650 g, respectively. However, considering the system can only have one optimal charge, the cross range of 700 g under two modes is selected. Under this optimal charge, cooling capacity decreases 6.7% and heating capacity decreases 1.8% compared with the maximum value, then COP decreases 13.7% and 3.3%. This shows that the system still has good performance in both summer and winter conditions.

3.5. Results Analysis of Charge Amount Theoretical Calculation Model

The refrigerant charge of each part is calculated by the aforementioned calculation model of the void fraction, combined with the geometrical size and thermodynamic parameters of each part. The calculation results of the refrigerant charge for each part in cooling and heating operating conditions are in the pie charts below, as shown in Figure 11 and Figure 12, respectively.
The calculation results indicate that the refrigerant charge in the high-pressure tubes was shown to be the largest in both cooling and heating mode. This means that the tubes from compressor to condenser and condenser outlet to throttle valve should be as short as possible. Optimizing the space layout of tubes is a feasible scheme to reduce refrigerant charge. The second largest refrigerant charge is in the heat exchanger. The scale of micro-channel heat exchanger pipeline, especially the length and diameter of the flat tube, is very important for optimizing refrigerant charge. Overall, the difference of refrigerant charges calculated by each model is not evident, which is of positive significance to the actual system. The pipes used in the test bench are made of aluminium alloy, while the actual pipes are mostly made of rubber hoses. Except for the length variation of the pipelines caused by the actual layout of the vehicle, other effects are small.
Comparisons between calculated results of each model and the optimal charge obtained by experiments are shown in Figure 13.
The comparison show that the calculated charge of each model is close to the experimental results with relatively small differences. In cooling and heating modes, the Hughmark model has the largest calculation results and smallest error for cooling model, only 5.9% and 6.5% at different compressor speeds. While in the heating model, the Tandon model calculates the minimum charge error, which is only 2.0% and 1.8% at different compressor speeds. According to the comprehensive results of cooling and heating experiments, the optimal charge is 700 g, and the Hughmark model calculating results are much closer. Considering the comprehensive performance of the system, the Hughmark model is selected as the most suitable calculation method for accuracy.

4. Concluding Remarks

In this experiment, a typical ACHP system with three heat exchangers was established to investigate the characteristics of system performance under various refrigerant charges. The cooling and heating performances of the system were analyzed comprehensively for a better understanding of optimal charge. Based on three classical models for calculating void fraction, theoretical charge amount was obtained and compared with the experimental results. The major conclusions are as follows.
With the enlarged refrigerant charge, the discharge pressure of the compressor increases, while the discharge temperature decreases gradually. Exit temperature of the HVAC module tends to become stable, and capacity or COP reach the peak value gradually with increasing refrigerant charge, maintaining with slight variation after that. For the same refrigerant charge in heating mode, the variation of the compressor speed shows significant influence on discharge pressure and temperature.
The intersection platform between subcooling and superheating curves is revealed to obtain OCP. The optimal charge of the system is further obtained by comprehensive performance of cooling and heating.
The charge calculated by the Hughmark model is proved to be the most appropriate for optimal charge determination according to experimental comparisons with the other two classical models of void fraction.
The next investigation on the system performance includes the performance of a cryogenic heat pump, dehumidification and defrosting.

Author Contributions

K.L. outlined the structure and content of this article. He also revised and proofread the content. J.Y. collated the contents of the full text and submitted the article. M.L. carried out the main experimental works. D.X., L.S. and Y.F. put forward suggestions for writing and revision of the article and participated in the work guidance of the experiments. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by National Nature Science Foundation of China (No. 51876130, 51906158), Shanghai Sailing Program (No. 18YF1417900). Capacity Building Plan for some Non-military Universities and Colleges of Shanghai Scientific Committee (No. 18060502600).

Conflicts of Interest

The authors declare no conflict of interest.

Nomenclature

COPcoefficient of performance
OCPoptimal charge plateau
ρdensity(kg/m3)
ddiameter (m)
A/Daccumulator/dehydrator
mmass (kg)
Llength (m)
Vvolume (m3)
Across-sectional area
henthalpy(kJ/kg)
εvoid fraction
χquality (kg/kg)
βweighing factor
Dhydraulic diameter
Gmass flux (kg/(s·m2))
uvelocity (m/s)
Sslip ratio
ReLReynold number
Xttcorrelating parameter
μkinetic viscosity (Pa·s)
WeLWeber number
ggravitational constant (N/m)
Kparameter

Subscripts

lrefrigerant of liquid phase
grefrigerant of gas phase
tprefrigerant of two phase
conheat exchanger for condensing
evpheat exchanger for evaporating
congrefrigerant of gas section in condenser
conlrefrigerant of liquid section in condenser
evagrefrigerant of gas section in evaporator
thptubes with high pressure refrigerant
tlptubes with low pressure refrigerant
sucsuction state of compressor
disdischarge state of compressor

References

  1. Zhang, Z.Y.; Wang, J.Y.; Feng, X.; Chang, L.; Chen, Y.H.; Wang, X.G. The solutions to electric vehicle air conditioning systems: A review. Renew. Sustain. Energy Rev. 2018, 91, 443–463. [Google Scholar] [CrossRef]
  2. Zhou, G.L.; Su, L.; Li, K.; Fang, Y.D.; Chen, Q. An experimental investigation of dehumidifying and reheating performances of a dual-evaporator heat pump system in electrified vehicles. Int. J. Energy Res. 2018, 42, 754–763. [Google Scholar] [CrossRef]
  3. Wang, Y.F.; Li, W.Y.; Zhang, Z.Q.; Shi, J.Y.; Chen, J.P. Performance evaluation and prediction for electric vehicle heat pump using machine learning method. Appl. Therm. Eng. 2019, 159, 113901. [Google Scholar] [CrossRef]
  4. Qi, Z.G. Advances on air conditioning and heat pump system in electric vehicles—A review. Renew. Sustain. Energy Rev. 2014, 38, 754–764. [Google Scholar] [CrossRef]
  5. Jaewan, K.; Jinwoo, O.; Hoseong, L. Review on Battery Thermal Management System for Electric Vehicles. Appl. Therm. Eng. 2019, 149, 192–212. [Google Scholar]
  6. Zhang, Z.Q.; Wang, D.D.; Zhang, C.Q.; Chen, J.P. Electric vehicle range extension strategies based on improved AC system in cold climate—A review. Int. J. Refrig. 2018, 88, 141–150. [Google Scholar] [CrossRef]
  7. Mao, Y.Y.; Wang, J.; Li, J.M. Experimental and numerical study of air flow and temperature variations in an electric vehicle cabin during cooling and heating. Appl. Therm. Eng. 2018, 137, 356–367. [Google Scholar] [CrossRef]
  8. Wang, D.D.; Zhang, Z.Y.; Yu, B.B.; Wang, X.N.; Shi, J.Y.; Chen, J.P. Experimental research on charge determination and accumulator behavior in trans-critical CO2 mobile air-conditioning system. Energy 2019, 183, 106–115. [Google Scholar] [CrossRef]
  9. Corberán, J.M.; Martínez-Galván, I.; Martínez-Ballester, S.; Maciá, J.G.; Royo-Pastor, R. Influence of the source and sink temperatures on the optimal refrigerant charge of a water-to-water heat pump. Int. J. Refrig. 2011, 34, 881–892. [Google Scholar] [CrossRef]
  10. Palmiter, L.; Kim, J.H.; Larson, B.; Francisco, P.W.; Groll, E.A.; Braun, J.E. Measured effect of airflow and refrigerant charge on the seasonal performance of an air-source heat pump using R-410A. Energy Build. 2011, 43, 1802–1810. [Google Scholar] [CrossRef]
  11. Afshari, F.; Comakli, O.; Adiguzel, N.; Karagoz, S. Optimal Charge Amount for Different Refrigerants in Air-to-Water Heat Pumps. Iran. J. Sci. Technol. Trans. Mech. Eng. 2016, 40, 325–335. [Google Scholar] [CrossRef]
  12. Siang, J.T.; Sharifian, A. Performance of a single-duct portable propane air conditioning system under different refrigerant charge levels. Heat Transf. Asian Res. 2017, 46, 1246–1261. [Google Scholar] [CrossRef]
  13. Raj, M.H.; Lal, D.M. Performance variation of an R22 window air conditioner retrofitted with a HFC/HC refrigerant mixture under different ambient conditions over a range of charge quantities. Heat Transf. Asian Res. 2011, 40, 246–268. [Google Scholar]
  14. Ghoubali, R.; Byrne, P.; Bazantay, F. Refrigerant charge optimisation for propane heat pump water heaters. Int. J. Refrig. 2017, 76, 230–244. [Google Scholar] [CrossRef]
  15. Hermes, C.J.L. Refrigerant charge reduction in vapor compression refrigeration cycles via liquid-to-suction heat exchange. Int. J. Refrig. 2015, 52, 93–99. [Google Scholar] [CrossRef]
  16. Zhang, Z.; Du, K.; Huang, H.; Zhang, J.; Pan, Y. Experimental study on impact of refrigerant charge on performance of room air conditioner with micro-channel evaporator. J. Southeast Univ. 2014, 44, 567–572. [Google Scholar]
  17. Xu, B.; Wang, Y.; Chen, J.P.; Li, F.; Li, D.; Pan, X.Y. Investigation of domestic air conditioner with a novel low charge microchannel condenser suitable for hydrocarbon refrigerant. Measurement 2016, 90, 338–348. [Google Scholar] [CrossRef]
  18. Cheung, H.; Braun, J.E. An empirical model for simulating the effects of refrigerant charge faults on air conditioner performance. Sci. Technol. Built Environ. 2017, 23, 776–786. [Google Scholar] [CrossRef]
  19. Mehrabi, M.; Yuill, D. Generalized effects of refrigerant charge on normalized performance variables of air conditioners and heat pumps. Int. J. Refrig. 2017, 76, 367–384. [Google Scholar] [CrossRef]
  20. Li, K.; Lan, J.; Zhou, G.L.; Tang, Q.T.; Cheng, Q.; Fang, Y.D.; Su, L. Investigation on the Influence of Refrigerant Charge Amount on the Cooling Performance of Air Conditioning Heat Pump System for Electric Vehicles. J. Therm. Sci. 2019, 28, 294–305. [Google Scholar] [CrossRef]
  21. Li, K.; Xu, D.; Lan, J.; Su, L.; Fang, Y.D. An experimental and theoretical investigation of refrigerant charge on a secondary loop air-conditioning heat pump system in electric vehicles. Int. J. Energy Res. 2019, 43, 3381–3398. [Google Scholar] [CrossRef]
  22. Choi, J.M.; Kim, Y.C. The effects of improper refrigerant charge on the performance of a heat pump with an electronic expansion valve and capillary tube. Energy 2002, 27, 391–404. [Google Scholar] [CrossRef]
  23. Pereira, L.; Humia, G.; Khosravi, A.; Revellin, R.; Bonjour, J.; Machado, L.; Pabon, J.J.G. A study on the fluid refrigerant charge in a two-phase mechanically pumped loop system using R134a and R1234yf. Appl. Therm. Eng. 2019, 158, 113727. [Google Scholar] [CrossRef]
  24. Pang, W.Q.; Liu, J.P.; Xu, X.W. A strategy to optimize the charge amount of the mixed refrigerant for the Joule–Thomson cooler. Int. J. Refrig. 2016, 69, 466–479. [Google Scholar] [CrossRef]
  25. Rice, C.K. The effect of void fraction correlation and heat flux assumption on refrigerant charge inventory predictions. ASHRAE Trans. 1987, 93, 341–367. [Google Scholar]
  26. Tandon, T.N.; Varma, H.K.; Gupta, C.P. A void fraction model for annular two-phase flow. Int. J. Heat Mass Transf. 1985, 28, 191–198. [Google Scholar] [CrossRef]
  27. Dickes, R.; Dumont, O.; Guillaume, L.; Quoilin, S.; Lemort, V. Charge-sensitive modelling of organic Rankine cycle power systems for off-design performance simulation. Appl. Energy 2018, 212, 1262–1281. [Google Scholar] [CrossRef]
  28. Chae, J.H.; Choi, J.M. Evaluation of the impacts of high stage refrigerant charge on cascade heat pump performance. Renew. Energy 2015, 79, 66–71. [Google Scholar] [CrossRef]
  29. Deymi-Dashtebayaz, M.; Farahnak, M.; Moraffa, M.; Ghalami, A.; Mohammadi, N. Experimental evaluation of refrigerant mass charge and ambient air temperature effects on performance of air-conditioning systems. Heat Mass Transf. 2018, 54, 803–812. [Google Scholar] [CrossRef]
  30. Poggi, F.; Macchi-Tejeda, H.; Leducq, D.; Bontemps, A. Refrigerant charge in refrigerating systems and strategies of charge reduction. Int. J. Refrig. 2008, 31, 353–370. [Google Scholar] [CrossRef]
Figure 1. The schematic of an air-conditioning heat pump (ACHP) system.
Figure 1. The schematic of an air-conditioning heat pump (ACHP) system.
Energies 13 00657 g001
Figure 2. System cooling and heating cycle modes.
Figure 2. System cooling and heating cycle modes.
Energies 13 00657 g002
Figure 3. Experimental system layout in the laboratory.
Figure 3. Experimental system layout in the laboratory.
Energies 13 00657 g003
Figure 4. Experimental system and components.
Figure 4. Experimental system and components.
Energies 13 00657 g004
Figure 5. Discharge pressure variations with refrigerant charge.
Figure 5. Discharge pressure variations with refrigerant charge.
Energies 13 00657 g005
Figure 6. Discharge temperature variations with refrigerant charge.
Figure 6. Discharge temperature variations with refrigerant charge.
Energies 13 00657 g006
Figure 7. Exit temperature variations of heating, ventilation and air-conditioning (HVAC).
Figure 7. Exit temperature variations of heating, ventilation and air-conditioning (HVAC).
Energies 13 00657 g007
Figure 8. Capacity variations with refrigerant charge.
Figure 8. Capacity variations with refrigerant charge.
Energies 13 00657 g008
Figure 9. COP variations with refrigerant charge.
Figure 9. COP variations with refrigerant charge.
Energies 13 00657 g009
Figure 10. Subcooling and superheating variations with refrigerant charge.
Figure 10. Subcooling and superheating variations with refrigerant charge.
Energies 13 00657 g010
Figure 11. The proportion of each part of charge amount theoretical calculation in cooling mode. With different refrigerant charge quantity calculation models under different compressor speeds: (a) with Tandon model under 3000 r/min; (b) with Prelimi model under 3000 r/min; (c) with Hughmark model under 3000 r/min; (d) with Tandon model under 4000 r/min; (e) with Prelimi model under 4000 r/min; (f) with Hughmark model under 4000 r/min.
Figure 11. The proportion of each part of charge amount theoretical calculation in cooling mode. With different refrigerant charge quantity calculation models under different compressor speeds: (a) with Tandon model under 3000 r/min; (b) with Prelimi model under 3000 r/min; (c) with Hughmark model under 3000 r/min; (d) with Tandon model under 4000 r/min; (e) with Prelimi model under 4000 r/min; (f) with Hughmark model under 4000 r/min.
Energies 13 00657 g011
Figure 12. The proportion of each part of charge amount theoretical calculation in heating mode. With different refrigerant charge quantity calculation models under different compressor speeds: (a) with Tandon model under 3000 r/min; (b) with Prelimi model under 3000 r/min; (c) with Hughmark model under 3000 r/min; (d) with Tandon model under 4000 r/min; (e) with Prelimi model under 4000 r/min; (f) with Hughmark model under 4000 r/min.
Figure 12. The proportion of each part of charge amount theoretical calculation in heating mode. With different refrigerant charge quantity calculation models under different compressor speeds: (a) with Tandon model under 3000 r/min; (b) with Prelimi model under 3000 r/min; (c) with Hughmark model under 3000 r/min; (d) with Tandon model under 4000 r/min; (e) with Prelimi model under 4000 r/min; (f) with Hughmark model under 4000 r/min.
Energies 13 00657 g012
Figure 13. Charge amount theoretical calculations in comparison with experiments.
Figure 13. Charge amount theoretical calculations in comparison with experiments.
Energies 13 00657 g013
Table 1. Parameters of experiment facility.
Table 1. Parameters of experiment facility.
ComponentTypeSpecification
CompressorScrollDisplacement27 cm3/r
Speed range1000–5000 r/min
HEX1PFM-HEX
(parallel flow microchannel heat exchanger)
Number of flat pipes51
Width × Height × Diameter372 × 322 × 20 mm
Flow distributions16-14-12-9
HEX2PFM-HEXNumber of flat pipes52
Width × Height × Diameter136 × 194 × 32 mm
Flow distributions13-13-13-13
HEX3PFM-HEXNumber of flat pipes50
Width × Height × Diameter202 × 195 × 40 mm
Flow distributions12-13-12-13
TXVTXV
(thermostatic expansion valve)
Maximum pressure drop2.5 Mpa
Diameter1.3 mm
EXVEXV
(electronic expansion valve)
capacity1.0 T
Subcooling5 °C
Mass flowmeterCoriolis-type mass flowmeterMaximum flow300 kg/h

Share and Cite

MDPI and ACS Style

Li, K.; Yu, J.; Liu, M.; Xu, D.; Su, L.; Fang, Y. A Study of Optimal Refrigerant Charge Amount Determination for Air-Conditioning Heat Pump System in Electric Vehicles. Energies 2020, 13, 657. https://doi.org/10.3390/en13030657

AMA Style

Li K, Yu J, Liu M, Xu D, Su L, Fang Y. A Study of Optimal Refrigerant Charge Amount Determination for Air-Conditioning Heat Pump System in Electric Vehicles. Energies. 2020; 13(3):657. https://doi.org/10.3390/en13030657

Chicago/Turabian Style

Li, Kang, Jun Yu, Mingkang Liu, Dan Xu, Lin Su, and Yidong Fang. 2020. "A Study of Optimal Refrigerant Charge Amount Determination for Air-Conditioning Heat Pump System in Electric Vehicles" Energies 13, no. 3: 657. https://doi.org/10.3390/en13030657

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