现代机械2024,Issue(6) :27-34.

基于动态规划的PHEV电池参考SOC规划研究

Dynamic programming-based PHEV battery SOC reference trajectory planning

曾凡龙
现代机械2024,Issue(6) :27-34.

基于动态规划的PHEV电池参考SOC规划研究

Dynamic programming-based PHEV battery SOC reference trajectory planning

曾凡龙1
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作者信息

  • 1. 浙江大学动力机械及车辆工程研究所,浙江 杭州 310027
  • 折叠

摘要

合理的动力电池荷电状态(SOC)参考轨迹规划对于提高插电式混合动力汽车(PHEV)能量管理策略的优化性能非常重要.本研究提出了一种基于动态规划(DP)的参考SOC规划方法,从智慧交通系统(ITS)获取车辆未来经过不同路段时的交通流速度,进而通过DP进行参考SOC规划.通过参数寻优以及求解过程优化,改善了 DP的求解时间.将所提出的SOC规划算法与自适应等效燃油消耗最小化策略(A-ECMS)相结合,使用真实世界数据的仿真结果表明,基于DP的参考SOC规划方法相比电量维持的参考SOC,节省了 4.63%的综合燃油消耗量.

Abstract

Battery state-of-charge(SOC)reference trajectory planning is very important to improve the performance of the plug-in hybrid electric vehicle(PHEV)energy management strategy.This paper proposes a SOC reference trajectory plan-ning method based on dynamic programming,which obtains the traffic flow speed data of different road sections that the vehi-cle will pass through in the future from the intelligent transportation system(ITS),and then uses the dynamic programming(DP)algorithm to perform SOC reference planning.Through parameter optimization and solution process optimization,the so-lution time of DP is improved.Combining the proposed SOC planning algorithm with the adaptive equivalent fuel consump-tion minimization strategy(A-ECMS),simulation results using real-world data show that the DP-based SOC reference planning method saves 4.63%comprehensive fuel consumption than the charge-sustaining SOC reference.

关键词

插电式混合动力汽车/能量管理策略/电池SOC参考轨迹/动态规划

Key words

plug-in hybrid electric vehicle/energy management strategy/battery SOC reference trajectory/dynamic programming

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出版年

2024
现代机械
贵州省机电研究设计院,贵州省机械工程学会

现代机械

影响因子:0.172
ISSN:1002-6886
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