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

作　　者：曾凡龙 ZENG Fanlong

机构地区：[1]浙江大学动力机械及车辆工程研究所,浙江杭州310027

出　　处：《现代机械》2024年第6期27-34,共8页Modern Machinery

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。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 planning method based on dynamic programming,which obtains the traffic flow speed data of different road sections that the vehicle 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 solution time of DP is improved.Combining the proposed SOC planning algorithm with the adaptive equivalent fuel consumption 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 

分 类 号：U469.72[机械工程—车辆工程]