An efficient braking energy recovery strategy based on differential game for hybrid electric truck considering electromechanical thermal dynamic

Tonglin Sun, Chao Yang*, Mingjun Zhang, Weida Wang

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Brake failure is one of the main causes of truck safety accidents under long downhills. Frequent braking increases the risk of brake drums and motor thermal failure. Hence, how to coordinate the motor and pneumatic braking torque to reduce the motor and brake drums temperature rise in case of limited battery recovery capacity is a challenging task. In this paper, an efficient braking energy recovery strategy using differential game optimization is proposed for hybrid electric truck under long downhills. Firstly, the model is established considering hybrid electric power system and temperature rise of the motors and brake drums. Then, combining with real-time slope information and vehicle status, a non-cooperative two-player game model of motors and brake drums temperature rise is constructed, and the optimal braking torque distribution is obtained based on Nash Equilibrium. The proposed strategy is verified in two specific long downhill cycles. The results indicate that the proposed strategy has well control performance and can effectively suppress the temperature rise of the motors and brake drums. The sum of HT under the proposed strategy is 16.09%, 14.92% and 1.85%, 2.27% lower than the rule and Pontryagin's minimum principle under two driving cycles, respectively. The above results fully validate the superiority of the comprehensive performance of the proposed strategy.

源语言英语
主期刊名Proceedings of the 2023 7th CAA International Conference on Vehicular Control and Intelligence, CVCI 2023
出版商Institute of Electrical and Electronics Engineers Inc.
ISBN(电子版)9798350340488
DOI
出版状态已出版 - 2023
活动7th CAA International Conference on Vehicular Control and Intelligence, CVCI 2023 - Changsha, 中国
期限: 27 10月 202329 10月 2023

出版系列

姓名Proceedings of the 2023 7th CAA International Conference on Vehicular Control and Intelligence, CVCI 2023

会议

会议7th CAA International Conference on Vehicular Control and Intelligence, CVCI 2023
国家/地区中国
Changsha
时期27/10/2329/10/23

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