Research on energy management of model predictive control based on fuzzy control algorithm optimization

Benxiang Lin, Chao Wei*, Tao Liu

*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

To further improve the efficiency of energy management strategy for heavy-duty Hybrid Electric Vehicle (HEV), taking distributed electric drive heavy-duty Hybrid Electric Vehicle (HEV) as the research object, an energy management strategy combining fuzzy control algorithm and model predictive control (MPC) was proposed, and the length of prediction time domain was optimized by fuzzy algorithm. Simulation results showed that, compared with the fixed time domain model predictive energy management strategy under CHTC-TT working condition, The average time of iteration of the energy management strategy is reduced by about 22.7%, and the fuel consumption per 100 km is reduced by about 2.3%.

源语言英语
主期刊名2023 3rd International Conference on Electrical Engineering and Control Science, IC2ECS 2023
出版商Institute of Electrical and Electronics Engineers Inc.
1040-1044
页数5
ISBN(电子版)9798350382426
DOI
出版状态已出版 - 2023
活动3rd International Conference on Electrical Engineering and Control Science, IC2ECS 2023 - Hybrid, Hangzhou, 中国
期限: 29 12月 202331 12月 2023

出版系列

姓名2023 3rd International Conference on Electrical Engineering and Control Science, IC2ECS 2023

会议

会议3rd International Conference on Electrical Engineering and Control Science, IC2ECS 2023
国家/地区中国
Hybrid, Hangzhou
时期29/12/2331/12/23

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