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Research on Braking Torque Distribution Control Strategy of Distributed Drive Electric Vehicle Based on NSGA-II Algorithm
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Wei Wang1, Fufan Qu1, Fang Yang2, 3, Wenbo Li1, Penglong Wang4, Yueying Zhu4
Automobile Technology | 2024, (5) : 22 - 30
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Automobile Technology | 2024, (5): 22-30
Research on Braking Torque Distribution Control Strategy of Distributed Drive Electric Vehicle Based on NSGA-II Algorithm
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Wei Wang1, Fufan Qu1, Fang Yang2, 3, Wenbo Li1, Penglong Wang4, Yueying Zhu4
Affiliations
  • 1 CATARC Automotive Test Center (Tianjin ) Co., Ltd., Tianjin 300300
  • 2 Global R&D Center, China FAW Corporation Limited, Changchun 130013
  • 3 National Key Laboratory of Advanced Vehicle Integration and Control, Changchun 130013
  • 4 College of Mechanical Engineering, Tianjin University of Science and Technology, Tianjin 300222
Published: 2024-05-24 doi: 10.19620/j.cnki.1000-3703.20230518
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To balance braking safety and braking energy recovery of distributed drive electric vehicles, this article explored the vehicle braking torque distribution control strategy based on NSGA-II multi-objective optimization algorithm. An optimization module based on fuzzy control was established, and the optimal torque distribution coefficient was determined from the Pareto frontier optimization according to vehicle speed and demand braking torque. With an electric passenger vehicle as the research object, a brake torque distribution control strategy model was built based on Matlab/Simulink and VPAT and simulated. A hardware-in-loop simulation platform was built, and real-time performance and validity of this algorithm were verified. As was shown in the result, the brake torque distribution coefficient of the control strategy based on NSGA-II was closer to the distribution coefficient of ideal I curve, and the operation points of the motor braking efficiency zones were increased by 9.51 percentage point, and the energy recovery rate of vehicle regenerative braking was increased by 4.71 percentage point.

Distributed drive  /  NSGA-II algorithm  /  Fuzzy control  /  Braking torque distribution
Wei Wang, Fufan Qu, Fang Yang, Wenbo Li, Penglong Wang, Yueying Zhu. Research on Braking Torque Distribution Control Strategy of Distributed Drive Electric Vehicle Based on NSGA-II Algorithm[J]. Automobile Technology, 2024 , (5) : 22 -30 . DOI: 10.19620/j.cnki.1000-3703.20230518
Year 2024 volume Issue 5
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doi: 10.19620/j.cnki.1000-3703.20230518
  • Online Date:2025-12-23
  • Published:2024-05-24
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    1 CATARC Automotive Test Center (Tianjin ) Co., Ltd., Tianjin 300300
    2 Global R&D Center, China FAW Corporation Limited, Changchun 130013
    3 National Key Laboratory of Advanced Vehicle Integration and Control, Changchun 130013
    4 College of Mechanical Engineering, Tianjin University of Science and Technology, Tianjin 300222
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
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Genus
种数
Number of
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占总种数比例
Percentage of total
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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