Loading...
Administrator by China Associction for Science and Technology
Sponsored by China Society of Automotive Engineers
Published by AUTO FAN Magazine Co. Ltd.

Table of Content

    25 February 2023, Volume 45 Issue 2 Previous Issue    Next Issue
    Research Progress on Pulse Heating Technology of Lithium-ion Battery for Electric Vehicles
    Yubo Lian,Heping Ling,Qingchan Ma,Qiang Ren,Bin He
    2023, 45 (2):  169-174.  doi: 10.19562/j.chinasae.qcgc.2023.02.001
    Abstract ( 439 )   HTML ( 69 )   PDF (708KB) ( 450 )   Save

    At low temperatures, the lithium-ion batteries of electric vehicles have the problems of usable capacity reduction, charging difficulty and cycle life decay, which seriously restrict the application of lithium-ion batteries. Therefore, it is very important to ensure that the lithium-ion batteries operate within the appropriate temperature range. With the advantages of fast heating rate, good temperature uniformity and simple system structure, the battery pulse heating technology is an effective method to solve the problem of low temperature application of the lithium-ion batteries. In this paper, the research progress of pulse heating technology is summarized from the three aspects of pulse heating schemes, pulse control parameters and pulse heating strategies. Firstly, the advantages and disadvantages of the existing pulse heating schemes are introduced. Secondly, the temperature rise and capacity decay characteristics of lithium-ion batteries under different pulse control parameters are summarized. Finally, the influence of different pulse heating strategies on the low-temperature performance of lithium-ion batteries is compared, and the future development direction of pulse heating technology is pointed out.

    Figures and Tables | References | Related Articles | Metrics
    Research on Lithium Battery Remaining Useful Life Prediction Method Driven by Real Vehicle Data
    Fengchong Lan,Jikai Chen,Jiqing Chen,Xinping Jiang,Zihan Li,Wei Pan
    2023, 45 (2):  175-182.  doi: 10.19562/j.chinasae.qcgc.2023.02.002
    Abstract ( 240 )   HTML ( 29 )   PDF (2985KB) ( 302 )   Save

    The prediction of remaining useful life (RUL) of lithium-ion power battery is of great significance for understanding the safety and reliability of electric vehicles in the whole life cycle and improving the design of battery management system. Generally, the time series prediction method based on deep learning is a recursive process. The error of each prediction will accumulate with the increase of prediction times, which is difficult to ensure the prediction accuracy and efficiency. Based on the theory of deep learning sequence prediction and error analysis, an ARIMA-EDLSTM fusion model is established for lithium battery remaining useful life prediction. The encoder decoder (ED) framework is used to improve the long short-term memory neural network model (LSTM), establish the EDLSTM model of sequence to sequence prediction, and fuse the ARIMA model to predict the error trend and modify the prediction results. Theoretical analysis and real vehicle data verification show that this method can still better fit the real vehicle SOH decline curve when the prediction proportion exceeds 35% of the total history data, and effectively improve the prediction accuracy of the remaining useful life of lithium battery.

    Figures and Tables | References | Related Articles | Metrics
    An Experimental Investigation on Determination of Specific Heat Capacity of Lithium-ion Batteries by Hierarchical Optimization
    Lü Youfu,Weiming Luo,Jian Chen,Xihong Wu,Chuanchang Li
    2023, 45 (2):  183-190.  doi: 10.19562/j.chinasae.qcgc.2023.02.003
    Abstract ( 114 )   HTML ( 10 )   PDF (2212KB) ( 116 )   Save

    As a key parameter of battery module and system thermal design, the specific heat capacity of lithium-ion batteries has a significant impact on the accuracy of the simulation model and control strategies of the established battery thermal management system. Based on the calorimetric method, a test platform with low cost, simple implementation and high measurement accuracy is established. The influence of heat loss, calorimetric method and hierarchical optimization of the calorimetric device on the test results is systematically studied. In the sample calibration test of brass, 304 stainless steels, cast iron and high-density polyethylene standard parts, the experimental results show that the specific heat capacity error of the calorimetric device is less than 3%, and it is not affected by the thermal conductivity of the test sample. The average specific heat capacity of 32650 LiFePO4 batteries is determined to be 1.022 J·g-1·K-1 by this experimental device, which provides a feasible method to accurately measure the thermal physical parameters of specific heat capacity of other types of batteries and even next-generation solid-state batteries.

    Figures and Tables | References | Related Articles | Metrics
    Micro Short Circuit Diagnosis Method of Battery Pack Based on Capacity Increment Curve and Charge Capacity Difference
    Jianhao Zhang,Xingqi Gao,Li Zhang
    2023, 45 (2):  191-198.  doi: 10.19562/j.chinasae.qcgc.2023.02.004
    Abstract ( 109 )   HTML ( 14 )   PDF (1405KB) ( 109 )   Save

    At present, there is no effective method to identify and detect the micro short circuit of lithium-ion battery in the early evolution stage. Therefore, this paper proposes a micro short circuit diagnosis method based on the change law of battery charge capacity increment (IC) curve and charge capacity difference (DCC). Firstly, the relationship between lithium battery short circuit fault and charge capacity increment is established. The IC curves are denoised by using wavelet transform, and the unique correspondence between the peak value of IC curve (ICPV) and the state of charge (SOC) of battery is obtained under different current rates and temperature. Then, DCC is proposed to be used to describe the SOC difference between the faulty battery with internal short circuit and the normal battery, and the quantitative method of lithium battery micro short circuit is obtained. Finally, simulation analysis and experiments show that the quantitative information of battery micro short circuit can be obtained under different cycling conditions, and the maximum errors of fault diagnosis are less than 8.12%.

    Figures and Tables | References | Related Articles | Metrics
    Real-Vehicle Battery Health State Estimation Based on Nonlinear Reduced-Dimensional IC Features
    Jiqing Chen,Zihan Li,Fengchong Lan,Xinping Jiang,Wei Pan,Jikai Chen
    2023, 45 (2):  199-208.  doi: 10.19562/j.chinasae.qcgc.2023.02.005
    Abstract ( 109 )   HTML ( 11 )   PDF (3844KB) ( 111 )   Save

    Based on the complex operation data of real-vehicle batteries, the IC peak features are extracted as effective features of battery charging segments using incremental capacity analysis method in this paper, and the IC peak features are processed using t-SNE nonlinear dimensionality reduction method to eliminate the redundancy of multidimensional features and solve the problem that it is difficult to extract reliable features from real-vehicle data. In addition, a support vector regression model is constructed to estimate the battery health status. The results show that the use of incremental capacity curve peak features can effectively characterize the recession changes of the battery health state. The smoothing and noise reduction methods for real vehicle data can improve the quality of training data better. The SVR model based on t-SNE dimensionality reduction features improves the estimation accuracy of battery health state and ensures accurate estimation on a limited sample data set.

    Figures and Tables | References | Related Articles | Metrics
    Study on Light Weight of Battery Thermal Management System with PA/ EG Coupled Air Cooling
    Guijing Li,Qingkai Gu,Haoxin Yang,Jianqi Huang,Liming Di
    2023, 45 (2):  209-218.  doi: 10.19562/j.chinasae.qcgc.2023.02.006
    Abstract ( 125 )   HTML ( 11 )   PDF (3723KB) ( 93 )   Save

    In this paper, a battery thermal management system based on air cooling coupled with the composite phase change materials cooling (referred to as APE-BTMS) is proposed, in which the composite phase change materials (PA/ EG) are obtained by mixing the paraffin wax (PA) and the expanded graphite (EG). In this system, the middle part of the battery is cooled by PA/ EG, and the upper and lower ends of the battery are cooled by air with the air velocity of 1.23 m/s. The main purpose of APE-BTMS is to reduce the total weight of the battery thermal management system while cooling the working temperature of the battery to the optimal temperature range. The experimental results show that the APE-BTMS-45 model has the best cooling performance under the same conditions. A numerical model of APE-BTMS based on COMSOL is established to compare the cooling performance of APE-BTMS at different ambient temperatures and more finely axial thickness. The numerical simulation results further verify that APE-BTMS-45 has the best cooling performance in the comparative data, and can reduce the weight by 216.71 kg at maximum. The research results of this paper can provide reference and data support for the design and development of battery thermal management system (BTMS) based on phase change materials.

    Figures and Tables | References | Related Articles | Metrics
    Deep Flux Weakening Control and Mode Switching Control Strategy of Permanent Magnet Synchronous Motor Based on Single Current Regulator
    Guodong Wang,Lifang Wang,Yan Wu,Junzhi Zhang
    2023, 45 (2):  219-230.  doi: 10.19562/j.chinasae.qcgc.2023.02.007
    Abstract ( 170 )   HTML ( 8 )   PDF (6646KB) ( 128 )   Save

    In order to solve the problem of system instability caused by cross-coupling and current regulator saturation of traditional dual-current regulator flux weakening control strategy and improve the current dynamic response speed, this paper proposes a stable deep flux weakening control strategy for permanent magnet synchronous motor, i.e., the improved single-current regulator flux weakening control based on voltage phase angle and mode switching control strategy. The control strategy integrates the advantages of excellent dynamic performance, simple control structure, independent of motor parameters, high voltage utilization and high portability. After analyzing the stable operation range of different single current regulators, different current trajectories are planned and different single current regulator flux weakening control strategies are designed according to different system control requirements. The switching conditions of constant torque region and flux weakening region are optimized and improved, and the key to keep the voltage phase angle constant for switching of constant torque region and flux weakening region is determined. It is proposed that different switching methods can be designed according to different control requirements when different single current regulators are switched, but the switching key of keeping the q-axis voltage constant must be ensured to make the control strategy easy for engineering applications. Simulations and experiments have verified the effectiveness of the proposed method in stabilizing the deep flux weakening capability and switching control strategy, which finally achieves 6.3 times deep flux weakening control and smooth switching of different single current regulators in the flux weakening region under electric and power generation conditions.

    Figures and Tables | References | Related Articles | Metrics
    Data-Driven Personalized Scenario Risk Map Construction for Intelligent Vehicles
    Gege Cui,Lü Chao,Jinghang Li,Zheyu Zhang,Guangming Xiong,Jianwei Gong
    2023, 45 (2):  231-242.  doi: 10.19562/j.chinasae.qcgc.2023.02.008
    Abstract ( 207 )   HTML ( 16 )   PDF (4137KB) ( 196 )   Save

    In order to realize the auxiliary function of danger warning of intelligent vehicle and accurately establish the personalized assistance system for individual drivers, a data-driven personalized scenario risk map construction method for intelligent vehicles is proposed. The graph representation of the attributes and implied interaction of both dynamic and static elements in complex traffic scenes is constructed. The graph kernel method is used to measure the similarity of the graph representation data, and the driver's operation data is processed and analyzed to obtain the driver's personalized scene risk evaluation label. The recognition model is trained based on support vector machine and the mapping relationship between the driver's personalized risk evaluation mechanism and scene features is established. The risk assessment label output by the model and the real value are compared experimentally. The results show that the recognition accuracy of the driver risky driving scene recognition model based on the personalized scenario risk map can reach 95.8%, which is 38.2% higher than that of the method based on feature vector representation, and it can effectively evaluate the risk degree of the personalized scene based on the driver's driving style.

    Figures and Tables | References | Related Articles | Metrics
    Research on the Decision and Planning System of Automated Valet Parking Based on Finite State Machine
    Jie Hu,Haoyan Liu,Minchao Zhang,Zhihao Zhang,Qi Zhu,Ruipeng Chen,Man Luo
    2023, 45 (2):  243-252.  doi: 10.19562/j.chinasae.qcgc.2023.02.009
    Abstract ( 209 )   HTML ( 19 )   PDF (4379KB) ( 183 )   Save

    For the problem of high requirements of the posture of the starting point of parking planning in the current automated valet parking research, a decision-making method of valet parking system based on the hierarchical finite state machine is proposed. To realize the functions of valet parking and fixed-point recall of the vehicle, the upper-level functional state machine and the lower-level behavior state machine are designed, and the logical switching relationship between the behavior states of the vehicle is established according to the environment and the defined rules of the vehicle. In order to ensure completion of vehicle parking path planning for the vertical parking space under the condition of entering the parking state in an uncertain state or position and orientation, multi-stage path planning is used, and the switching area between driving and parking is calculated to make sure that the parking path can be planned for vehicles in different positions. The feasibility and reliability of the valet parking system are verified through real-vehicle tests finally.

    Figures and Tables | References | Related Articles | Metrics
    Robust Control of Path Tracking for Four-Wheel Independent Drive Electric Vehicles
    Xinrong Zhang,Yuhang Tan,Yifan Jia,Jin Huang,Quanning Xu
    2023, 45 (2):  253-262.  doi: 10.19562/j.chinasae.qcgc.2023.02.010
    Abstract ( 268 )   HTML ( 17 )   PDF (1697KB) ( 301 )   Save

    For the characteristics of four-wheel independent drive electric vehicles, such as structural parameters, external disturbance uncertainty, nonlinearity, and over-drive, a hierarchical control framework is proposed to realize the vehicle path tracking control with the coordination of front wheel steering and direct yaw torque control system. Firstly, based on the path tracking kinematics model, the vehicle path tracking problem is transformed into a constrained following problem. Secondly, an adaptive robust upper-layer control algorithm based on constrained following is designed, which can effectively deal with the mismatch problem caused by model uncertainty and external disturbances, and guarantee the consistent boundedness and consistent ultimate boundedness of the closed-loop system. Finally, a quadratic programming-based lower-level allocation algorithm is designed to satisfy the required direct yaw moment. Co-simulation is conducted on the Simulink-Carsim platform. The simulation results of different working conditions show that the designed adaptive robust control algorithm has good path tracking accuracy and robustness.

    Figures and Tables | References | Related Articles | Metrics
    Lane Detection Algorithm Based on Instance Segmentation
    Zhifei Wu,Shoubiao Li
    2023, 45 (2):  263-272.  doi: 10.19562/j.chinasae.qcgc.2023.02.011
    Abstract ( 134 )   HTML ( 15 )   PDF (4551KB) ( 169 )   Save

    To realize the detection of lane lines with changing numbers in complex scenarios of autonomous driving, a lane detection algorithm based on instance segmentation is proposed. Firstly, the ResNet18 network is used as the backbone network to extract image features, and the feature pyramid network is used for feature fusion, at the same time a dilated convolutional residual module is designed to improve the detection accuracy. Then instance segmentation is carried out based on the location of lane, and the corresponding clustering point locations is predicted using the lane point locations from the semantic segmentation. Finally, the DBSCAN clustering algorithm is used for the cluster points to realize the lane instance distinction. The results show that the algorithm can effectively detect multi-lane lines in complex and changeable autonomous driving scenarios, and the F1 indicators on the CULane dataset and TuSimple dataset reach 75.2% and 97.0%, respectively.

    Figures and Tables | References | Related Articles | Metrics
    Research on Surface Geometry Parameter Recognition and Model Reconstruction of Uneven Road
    Wenguang Wu,Shuangyue Tian,Zhiyong Zhang,Bin Jin,Zenghua Qiu
    2023, 45 (2):  273-284.  doi: 10.19562/j.chinasae.qcgc.2023.02.012
    Abstract ( 122 )   HTML ( 9 )   PDF (9130KB) ( 109 )   Save

    For autonomous vehicles driving on uneven road and abnormal road, not only factors such as road curvature need to be considered, but also characteristics and diseases such as road bumps and potholes need to be identified and modeled, so as to improve vehicle passability, safety and comfort. Therefore, this paper proposes a surface geometry parameter recognition and model reconstruction method of uneven road based on the Lidar. Firstly, the Locally Weighted Scatterplot Smoothing (Lowess) method is applied to the lidar point cloud processing for the first time to improve the smoothness of the lidar point cloud data. Secondly, a surface geometry parameter recognition method based on slope threshold segmentation is proposed to identify and extract the road bumps and pits by setting slope threshold. Thirdly, the 3D mathematical model based on piecewise polynomial function with constraints for road surface geometry parameter of uneven road is built. Finally, through the indoor sand table model of typical characteristics of the road and the measured data, the road geometry parameters’ recognition and model reconstruction are carried out by the proposed method. The results show that the piecewise polynomial fitting method achieves the best fitting effect when the fitting times are 5-6 times, and the root mean square error of 92% data points in each scene is within the range of 0~0.015m. The proposed method can accurately achieve the surface geometric parameter identification of uneven road and realize the 3D mathematical model reconstruction of the typical geometry feature.

    Figures and Tables | References | Related Articles | Metrics
    Research on the Equivalent Fuel Consumption Minimizing Energy Management Strategy of Through-the-Road Vehicle
    Jinxia Liu,Zhihao Liang,Qiang Wang,Mingxing Wen
    2023, 45 (2):  285-292.  doi: 10.19562/j.chinasae.qcgc.2023.02.013
    Abstract ( 162 )   HTML ( 11 )   PDF (3722KB) ( 132 )   Save

    To improve the economy of through-the-road (TTR) vehicle, which realizes dynamic coupling and battery charging through-the-road, a fuzzy adaptive equivalent fuel consumption minimizing strategy (FAECMS) is proposed in this paper. After analyzing the structure and working modes of TTR vehicle, the constant equivalent factor ECMS(CECMS) is calculated based on equivalent fuel consumption minimizing strategy (ECMS). In order to keep the battery SOC stable and control the engine to work in low fuel consumption area, the total equivalent torque of the engine for driving and the battery SOC are fuzzed and fuzzy control rules of equivalent factor are established. CECMS and FAECMS models including TTR vehicle dynamics are established by MATLAB/Simulink. Under the three types of standard working conditions of FTP75, CLTC and WLTP, when the initial value of battery SOC is 60%, simulation calculation is carried out. The results show that the battery SOC is more stable with FAECMS, and compared with CECMS, the fuel of FAECMS is saved by 5.5%, 2.6% and 8.3% respectively.

    Figures and Tables | References | Related Articles | Metrics
    Research on Design Strategy of Lattice Structure Filled Crash Box Under Multi-angle Impact Loading
    Hongyu Liang,Baichuan Liu,Fangwu Ma,Dengfeng Wang
    2023, 45 (2):  293-303.  doi: 10.19562/j.chinasae.qcgc.2023.02.014
    Abstract ( 132 )   HTML ( 9 )   PDF (4995KB) ( 171 )   Save

    Due to the excellent specific energy absorption characteristics of lattice structure, it has broad application prospect in the passive safety of new energy vehicles. Taking the crash box filled with lattice structure as the research object, the finite element model of the automobile crash boxes with different lattice structure inner cores are established. The crashworthiness performance of different filling crash boxes and traditional crash box under multi-angle oblique collision conditions are comparatively analyzed. The interaction mechanism between the lattice structure and crash box body and the basis of inner core selection are expounded. On this basis, further considering the influence of the body inducement slot on the deformation modes under multiple working conditions, the multi-objective crashworthiness optimization design of the crash box filled with the lattice structure based on the improved body structure is carried out. The results show that the crash box filled with positive Poisson's ratio lantern-like lattice structure has stable and excellent energy absorbing performance. Compared with the original crash box, the mass is reduced by 32.05% using the optimization scheme. On the premise of ensuring that the maximum impact force is less than the threshold, the comprehensive performance indicators are significantly improved.

    Figures and Tables | References | Related Articles | Metrics
    Multi Workig Condition Crashworthiness Optimization Design of Body Frame Based on SHCA-T Algorithm
    Libin Duan,Huajin Zhou,Zhanpeng Du,Yu Zhang,Wei Xu,Xing Liu,Haobin Jiang
    2023, 45 (2):  304-312.  doi: 10.19562/j.chinasae.qcgc.2023.02.015
    Abstract ( 106 )   HTML ( 8 )   PDF (2625KB) ( 122 )   Save

    To solve the problems of low efficiency and difficult convergence of multi-variable nonlinear dynamic structure optimization, this paper proposes a Subdomain Hybrid Cellular Automata for Thickness optimization algorithm (SHCA-T) and multi working condition SHCA-T algorithm to solve the thickness optimization of the body skeleton, so as to realize efficient optimization design of the crashworthiness of the body skeleton under multiple working conditions. The algorithm includes an outer loop and an inner loop: the outer loop is to realize minimization of target mass by conducting crash finite element analysis (FEA), calculating output responses and updating target mass; the inner loop is to make the current mass of the inner loop to converge to the target mass by adjusting cell thicknesses according to internal energy densities of current cell and neighboring cells and PID control strategy, and finally make the cell internal energy density distribution as close as possible to the step target internal energy density function. In order to validate the accuracy and efficiency, the SHCA-T and multi working condition SHCA-T algorithms are used to solve the thickness optimization problem of body frame under side collision and side column collision. The optimized results obtained from the SHCA-T and multi working condition SHCA-T algorithms are compared with the results from parallel Pseudo expected improvement criterion for parallel EGO algorithm. The results show that the SHCA-T and multi working condition SHCA-T algorithms have higher global search efficiency under the condition of equal convergence accuracy.

    Figures and Tables | References | Related Articles | Metrics
    The Protection Risk of Pedestrian-Ground Collision Injury Based on Braking Control Under Parameter Disturbance
    Tiefang Zou,Jing Zhou
    2023, 45 (2):  313-323.  doi: 10.19562/j.chinasae.qcgc.2023.02.016
    Abstract ( 78 )   HTML ( 5 )   PDF (4440KB) ( 71 )   Save

    In order to understand the application risk of the pedestrian ground collision injury protection method based on braking control under the disturbance of the first time for releasing the braking (t1), 1 920 simulation tests are designed and conducted by MADYMO based on a virtual simulation system with 3 velocities, 4 pedestrian sizes and 2 pedestrian gaits. After comparison analysis, it is found that the pedestrian-ground collision injury can be effectively reduced without increasing the vehicle induced injury by employing the vehicle braking control method when there is no parameter disturbance. Under the disturbance of the first time for the vehicle to release its braking (t1), the proportion of cases in which the WIC is reduced, the vehicle related HIC15 is not changed, the ground related HIC15 is reduced and the pedestrian landing posture is not changed is 86.1%、98.61%、90.16% and 90.97% respectively. This means that the vehicle braking control method has a strong anti-disturbance ability. The earlier of t1, the more likely it is to increase the vehicle induced injury; the later of t1, the more likely it is to reduce the protective effect of head ground collision injury. Further analysis shows that main reasons for the increase of the pedestrian-ground collision injury under t1 disturbance are long time no leaving of the pedestrian from the vehicle, the pedestrian falling to the ground from the edge of the vehicle, change of the pedestrian landing posture and already extremely low injury in the complete braking group, etc. Parameters such as bumper length and hood inclination angle significantly affect the anti-disturbance ability of the vehicle braking control method. The smaller the bumper length and the larger the inclination angle of the hood, the stronger the anti-disturbance ability of the method.

    Figures and Tables | References | Related Articles | Metrics
    Study and Validation on the Influence of Rolling Speed on Tire In-plane Radial Vibration and Road Noise
    Ben Zhang,Lamei Tang,Yanfeng Guo,Jie Mao,Zaiqi Yao
    2023, 45 (2):  324-332.  doi: 10.19562/j.chinasae.qcgc.2023.02.017
    Abstract ( 127 )   HTML ( 8 )   PDF (4060KB) ( 164 )   Save

    In order to study the influence of driving speed on road noise, the relationship between the rolling speed and the modal natural frequencies and vibration response of the elastic ring tire model is analyzed in details. The CDtire model of a SUV tire is established and verified by modal test. Then vibration frequency response in main directions of the CDtire wheel center at different rolling speeds is analyzed. The results show that comparing the two conditions of tire rolling at 40 and 60 km/h, the in-plane radial vibration response of the second order modal is bigger at 40km/h, with a higher road noise level of the former in corresponding frequency, which is verified in road noise test of real vehicles.

    Figures and Tables | References | Related Articles | Metrics
    Comparative Analysis and Forecast Research on Comprehensive Economy of New Energy Vehicles
    Cheng Zhu,Di Liu,Xinyu Teng,Guohua Zhang,Dan Yu,Sha Liu,Ningdan Hu
    2023, 45 (2):  333-340.  doi: 10.19562/j.chinasae.qcgc.2023.02.018
    Abstract ( 297 )   HTML ( 35 )   PDF (2954KB) ( 290 )   Save

    The traditional comparative analysis method of vehicle economy is influenced by vehicle configuration, size, weight and other factors, which is prone to draw the conclusion that the economy of ordinary vehicles is much higher than that of luxury vehicles. In order to conduct an in-depth and objective comparative analysis on the comprehensive economy of new energy vehicles and traditional fuel vehicles, a comprehensive economy prediction model of vehicles with different power systems is established and the comparative analysis and forecast of the comprehensive economy of the new energy vehicles (pure electric and fuel cell commercial vehicles) and the traditional fuel vehicles are made based on the model. In consideration of different driving range and different weight requirements of vehicles, the cost prediction model of vehicles with different power systems is established and data calculation and economy forecast are made on the power systems cost and the whole life-cycle use cost of pure electric vehicles, fuel cell vehicles (FCVs), and traditional fuel vehicles in the present, 2025, 2030 and 2035. The prediction results show that the power system cost and the whole life-cycle cost of pure electric vehicles and FCVs will decline further and be even lower than traditional fuel vehicles in the future, with FCVs cost declining even faster. The whole life-cycle use cost of FCVs will be gradually lower than that of pure electric vehicles and traditional fuel cars of the same type under the condition of long driving range and high heavy load, therefore, it is suggested that the development of heavy commercial vehicles with longer driving range requirements should be given priority to in China.

    Figures and Tables | References | Related Articles | Metrics