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基于FDP的模块化电动重载车辆的能量分配与换挡策略

张宁 王俊 李子鸿 王金湘 殷国栋 欧阳天成 陈卓

控制理论与应用2025,Vol.42Issue(8):1561-1569,9.
控制理论与应用2025,Vol.42Issue(8):1561-1569,9.DOI:10.7641/CTA.2025.40076

基于FDP的模块化电动重载车辆的能量分配与换挡策略

Energy distribution and shift strategy of modular electric heavy-duty vehicles based on FDP

张宁 1王俊 1李子鸿 1王金湘 1殷国栋 1欧阳天成 2陈卓3

作者信息

  • 1. 东南大学机械工程学院,江苏南京 211189
  • 2. 广西大学机械工程学院,广西南宁 530004
  • 3. 蒙纳士大学土木工程系,澳大利亚 墨尔本3800
  • 折叠

摘要

Abstract

For the dual powertrain configuration proposed in this paper,there is currently no energy management strategy that effectively balances vehicle economy and comfort.When using dynamic programming algorithms,there are problems such as slow computational efficiency,difficulty in online application,and interpolation leakage.This paper describes a method to optimize dynamic programming algorithms using reduced state-space feasible domains and gear-holding func-tions.Firstly,an economy-oriented strategy is proposed,and then the state space feasible domain of dynamic planning is reduced using the extracted rules,the method of selecting state of charge(SOC)as the state variable is discarded,and a perfect energy management strategy is obtained by adding a block holding function to the cost function.The results show that this strategy reduces the transmission gear switching and the number of motor start-stops dramatically at the cost of consuming very little more energy,effectively balancing the economy and comfort of the vehicle.

关键词

电动重载车辆/模块化/能量管理策略/快速动态规划

Key words

electric heavy-duty vehicle/modularization/energy management strategy/fast dynamic programming

引用本文复制引用

张宁,王俊,李子鸿,王金湘,殷国栋,欧阳天成,陈卓..基于FDP的模块化电动重载车辆的能量分配与换挡策略[J].控制理论与应用,2025,42(8):1561-1569,9.

基金项目

国家重点研发计划资助项目(2022YFB2502704),国家自然科学基金重大项目(52394263),国家自然科学基金资助项目(52072072)资助 (2022YFB2502704)

Supported by the National Key Research and Development Program of China(2022YFB2502704),the Major Program of National Natural Science Foundation of China(52394263)and the National Natural Science Foundation of China(52072072). (2022YFB2502704)

控制理论与应用

OA北大核心

1000-8152

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