摘要
燃料电池混合动力汽车(FCHEV)的能量管理策略(EMS)对提升系统能效、保障系统健康和降低温室气体排放至关重要。文章提出一种基于粒子群优化(PSO)算法的等效消耗最小策略(ECMS)用于计算最优等效因子,并与动态规划(DP)进行对比,表明ECMS在大幅缩小计算时间的基础上得到了与DP相似的优化结果。进一步结合再生制动策略,利用MATLAB在几种典型循环工况下进行了仿真。仿真结果表明,动力电池荷电状态(SOC)值分别提高了7.48%、4.64%、5.48%。
The energy management strategy(EMS)for fuel cell hybrid electric vehicle(FCHEV)is critical for enhancing system efficiency,ensuring system health,and reducing greenhouse gas emissions.This paper proposes an equivalent consumption minimum strategy(ECMS)based on particle swarm optimization(PSO)algorithm to determine the optimal equivalence factor.The proposed ECMS is compared with dynamic programming(DP),demonstrating that it achieves optimization results similar to those of DP while significantly reducing computational time.Furthermore,the ECMS is integrated with a regenerative braking strategy and validated through MATLAB simulations under several standard driving cycles.The simulation results indicate that the state of charge(SOC)of the power battery is increased by 7.48%,4.64%,and 5.48%,respectively,under different cycle conditions.
作者
余川
杜常清
胡艺凤
张家铭
YU Chuan;DU Changqing;HU Yifeng;ZHANG Jiaming(Hubei Key Laboratory of Modern Automobile Parts Technology,Wuhan University of Technology,Wuhan 430070,China;State Key Laboratory of Energy Hydrogen Energy and Ammonia Hydrogen Fusion New Energy Technology,Foshan Xianhu Laboratory,Foshan 528200,China)
出处
《汽车实用技术》
2025年第5期1-7,53,共8页
Automobile Applied Technology
基金
先进能源科学与技术广东省实验室佛山分中心(佛山仙湖实验室)开放基金资助(XHRD2024-11233100-01)
广西重点研发计划,燃料电池汽车集成关键技术研发(2022ABA0103)。
关键词
燃料电池混合动力汽车
能量管理策略
等效消耗最小策略
粒子群算法
fuel cell hybrid electric vehicle
energy management strategy
minimum equivalent consumption strategy
particle swarm optimization algorithm
