Parameter Optimization and Experimental Comparison of Two-speed Pure Electric Vehicle Transmission Systems

被引:4
|
作者
Sheng J. [1 ]
Zhang B. [1 ]
Zhu B. [2 ]
Wang M. [1 ]
Jin Q. [1 ]
机构
[1] State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, Hunan University, Changsha
[2] Hefei University of Technology Clean Enery Automotive Reasearch Institute, Hefei University of Technology, Hefei
关键词
Gear ratio optimization; Multi-objective genetic algorithm; Parameter matching; Range mileage;
D O I
10.3969/j.issn.1004-132X.2019.07.002
中图分类号
学科分类号
摘要
To improve the driving efficiency of pure electric vehicles, by using the transmission scheme of two-speed automated mechanical transmission(AMT), a parameter matching model of multi-objective genetic algorithm was developed based on a two-block dual clutch transmission(DCT) electric vehicle. The peak power and peak torque of motor were taken as the integrated design goal. Meahwhile, the parametric matching design of motor was carried out with the vehicle dynamic index as the limited conditions. To improve the pure electric vehicle driving ranges and optimize the transmission system's efficient working ranges, the minimum power consumption of vehicle integrated conditions was chosen as the design goal. Based on the constraint conditions of vehicle dynamics and ride comfort indexes, a global optimization genetic algorithm was used to optimize the pure electric vehicle performance with two-speed ratio transmission. Then, the comparisons between the pure electric vehicle with AMT matching model and the DCT electric vehicle reference model were presented. The results indicate that the time of 100 kilometer acceleration for the optimized model is reduced by 5.79%, the new European driving cycle(NEDC) operating range mileage is increased by 0.31%, and the mileage of highway fuel economy test(HWFET) operating conditions is increased by 1.44%. Futhermore, it may be seen that the time of 100 kilometer acceleration is reduced by 10.31%, and the mileage of NEDC operating range is increased by 5.85% compared to the DCT reference model. © 2019, China Mechanical Engineering Magazine Office. All right reserved.
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页码:763 / 770and776
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