主办：陕西省汽车工程学会
ISSN 1671-7988  CN 61-1394/TH
创刊：1976年
汽车实用技术

汽车实用技术 ›› 2025, Vol. 50 ›› Issue (5): 8-13.DOI: 10.16638/j.cnki.1671-7988.2025.005.002

• 新能源汽车 • 上一篇    

基于 DDPG 优化方法的插电式混合动力汽车 等效燃油消耗最小控制策略

徐晓东，韦文祥*，甘紫东   

  1. 湖南科技大学 信息与电气工程学院
  • 发布日期:2025-03-12
  • 通讯作者: 韦文祥
  • 作者简介:徐晓东（1999－），男，硕士研究生，研究方向为混合动力汽车技术，E-mail:1448519652@qq.com 通信作者：韦文祥（1977－），男，博士，讲师，研究方向为矿山运输装备电传动控制技术，新能源技术，E-mail:686 73135@qq.com

Optimization of Equivalent Fuel Consumption Minimization Strategy for Plug-in Hybrid Electric Vehicle Using DDPG

XU Xiaodong, WEI Wenxiang* , GAN Zidong   

  1. School of Information and Electrical Engineering, Hunan University of Science and Technology
  • Published:2025-03-12
  • Contact: WEI Wenxiang

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摘要： 为提高混动汽车的燃油经济性，以插电式混合动力汽车作为研究对象，采用深度确定 性策略梯度（DDPG）算法对等效燃油消耗最小策略（ECMS）的等效因子和电池荷电状态 （SOC）进行优化。将深度学习的感知能力与强化学习的决策能力相结合，解决了对混合动 力汽车的能量管理优化问题。在 MATLAB/Simulink 中搭建整车仿真模型进行试验，结果表明， 采用新欧洲驾驶循环特定工况，在满足车辆正常行驶动力需求下，基于 DDPG 算法优化的等 效油耗极小值算法燃油消耗明显低于双深度 Q 网络（DDQN）和传统的 ECMS，同时维持电 池 SOC 的平衡，保证了多目标平衡性。

关键词: 插电式混合动力汽车；确定性策略梯度算法；等效燃油消耗最小控制策略；等效因 子；多目标平衡

Abstract: To improve the fuel economy of hybrid vehicles, plug-in hybrid electric vehicles are chosen as research subject. The deep deterministic policy gradient (DDPG) algorithm is used to optimize the equivalence factor and battery state of charge (SOC) in equivalent fuel consumption minimization strategy (ECMS). By integrating deep learning's perception abilities with reinforcement learning's decision-making processes, the optimization control of energy management in the hybrid electric vehicle is accomplished. A complete vehicle simulation model is created in MATLAB/ Simulink for experimental purposes. The outcomes demonstrate that, under condition of meeting the vehicle's normal driving power demands, fuel consumption based on DDPG algorithm optimized equivalent fuel consumption minimization algorithm is significantly lower than that of double deep Q network (DDQN) and traditional ECMS, while maintaining battery SOC balance, ensuring multi-objective optimization.

Key words: plug-in hybrid electric vehicle; deterministic policy gradient algorithm; equivalent fuel consumption minimization strategy; equivalent factor; multi-objective balance