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A Hybrid Electric Vehicle Coordination Control Strategy Based on Arithmetic Optimization Algorithm (AOA)

  • Wenhui Shi
  • , Lijin Han*
  • , Ke Chen
  • , Xuan Zhou
  • *此作品的通讯作者
  • Beijing Institute of Technology
  • Inner Mongolia First Machinery Group Corporation Inner Mongolia

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Hybrid electric truck have attracted attention due to their low fuel consumption and high maneuverability. To further improve its performance, energy management strategies are widely used to optimize power source operating points and ranges. However, most of the existing strategies focus on steady-state conditions, ignoring the risk of control error and power overload caused by dynamic characteristics. To solve the problem of DC bus voltage stability of hybrid electric vehicles, this paper presents an online engine-generator coordinated control strategy based on arithmetic optimization algorithm (AOA). Based on the energy management strategy, the strategy optimizes the control quantity of engine speed and generator torque in real time through AOA to minimize voltage fluctuation and engine speed fluctuation, so as to improve the control quality of the system dynamic process and ensure the stability of the vehicle during driving. The simulation results show that the coordinated control strategy based on AOA can effectively stabilize the bus voltage, which provides a new idea for the coordinated control of hybrid electric vehicles.

源语言英语
主期刊名2024 6th International Academic Exchange Conference on Science and Technology Innovation, IAECST 2024
出版商Institute of Electrical and Electronics Engineers Inc.
2117-2123
页数7
ISBN(电子版)9798331507138
DOI
出版状态已出版 - 2024
已对外发布
活动6th International Academic Exchange Conference on Science and Technology Innovation, IAECST 2024 - Hybrid, Guangzhou, 中国
期限: 6 12月 20248 12月 2024

出版系列

姓名2024 6th International Academic Exchange Conference on Science and Technology Innovation, IAECST 2024

会议

会议6th International Academic Exchange Conference on Science and Technology Innovation, IAECST 2024
国家/地区中国
Hybrid, Guangzhou
时期6/12/248/12/24

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