Research of Shift Strategy of Pure Electric Vehicle based on Dynamic Programming

In order to reduce the energy consumption of pure electric vehicles in actual driving, the gear shift law of the two-speed mechanical automatic transmission is optimized. According to the actual needs of urban, suburban and comprehensive driving cycle in Taiyuan city, the driving motors of the vehic...

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Main Authors: Xu Xin, Niu Zhigang, Wang Yang, Lai Chang
Format: Article
Language:zho
Published: Editorial Office of Journal of Mechanical Transmission 2019-12-01
Series:Jixie chuandong
Subjects:
Online Access:http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2019.12.007
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author Xu Xin
Niu Zhigang
Wang Yang
Lai Chang
author_facet Xu Xin
Niu Zhigang
Wang Yang
Lai Chang
author_sort Xu Xin
collection DOAJ
description In order to reduce the energy consumption of pure electric vehicles in actual driving, the gear shift law of the two-speed mechanical automatic transmission is optimized. According to the actual needs of urban, suburban and comprehensive driving cycle in Taiyuan city, the driving motors of the vehicles are matched, and the traditional economic shifting rules are formulated based on the motor efficiency. Then, the optimal gear shifting points under different driving cycle in Taiyuan city are solved by dynamic programming, and the optimal two-parameter shift schedule is discovered. Through Matlab/Simulink modeling and simulation, the energy consumption of the two shifting laws under different Driving cycle is compared. The results show that compared with the traditional economic shift law, the optimized two-parameter shift law can better reduce vehicle energy consumption and improve the endurance mileage.
format Article
id doaj-art-e66a87ad930e4621b9cc9d3c03ec1090
institution Kabale University
issn 1004-2539
language zho
publishDate 2019-12-01
publisher Editorial Office of Journal of Mechanical Transmission
record_format Article
series Jixie chuandong
spelling doaj-art-e66a87ad930e4621b9cc9d3c03ec10902025-01-10T14:46:09ZzhoEditorial Office of Journal of Mechanical TransmissionJixie chuandong1004-25392019-12-0143384431613047Research of Shift Strategy of Pure Electric Vehicle based on Dynamic ProgrammingXu XinNiu ZhigangWang YangLai ChangIn order to reduce the energy consumption of pure electric vehicles in actual driving, the gear shift law of the two-speed mechanical automatic transmission is optimized. According to the actual needs of urban, suburban and comprehensive driving cycle in Taiyuan city, the driving motors of the vehicles are matched, and the traditional economic shifting rules are formulated based on the motor efficiency. Then, the optimal gear shifting points under different driving cycle in Taiyuan city are solved by dynamic programming, and the optimal two-parameter shift schedule is discovered. Through Matlab/Simulink modeling and simulation, the energy consumption of the two shifting laws under different Driving cycle is compared. The results show that compared with the traditional economic shift law, the optimized two-parameter shift law can better reduce vehicle energy consumption and improve the endurance mileage.http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2019.12.007Pure electric vehicle
spellingShingle Xu Xin
Niu Zhigang
Wang Yang
Lai Chang
Research of Shift Strategy of Pure Electric Vehicle based on Dynamic Programming
Jixie chuandong
Pure electric vehicle
title Research of Shift Strategy of Pure Electric Vehicle based on Dynamic Programming
title_full Research of Shift Strategy of Pure Electric Vehicle based on Dynamic Programming
title_fullStr Research of Shift Strategy of Pure Electric Vehicle based on Dynamic Programming
title_full_unstemmed Research of Shift Strategy of Pure Electric Vehicle based on Dynamic Programming
title_short Research of Shift Strategy of Pure Electric Vehicle based on Dynamic Programming
title_sort research of shift strategy of pure electric vehicle based on dynamic programming
topic Pure electric vehicle
url http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2019.12.007
work_keys_str_mv AT xuxin researchofshiftstrategyofpureelectricvehiclebasedondynamicprogramming
AT niuzhigang researchofshiftstrategyofpureelectricvehiclebasedondynamicprogramming
AT wangyang researchofshiftstrategyofpureelectricvehiclebasedondynamicprogramming
AT laichang researchofshiftstrategyofpureelectricvehiclebasedondynamicprogramming