插电式混合动力汽车等效燃油消耗最小能量管理策略研究  

Research on Equivalent Fuel Consumption Minimization Strategy for a Plug-in Hybrid Electric Vehicle

作　　者：王洋洋 刘庆伟[1] 罗哲[1] 喻凡[1] Wang Yangyang;Liu Qingwei;Luo Zhe;Yu Fan(State Key Laboratory of Mechanical System and Vibration,Shanghai Jiao Tong University,Shanghai 200240)

机构地区：[1]上海交通大学,机械系统与振动国家重点实验室,上海200240

出　　处：《汽车技术》2020年第5期8-12,共5页Automobile Technology

摘　　要：对某插电式混合动力汽车电量保持(CS)阶段的能量管理策略进行了设计和优化研究。首先基于等效燃油消耗最小策略(ECMS)设计了汽车的能量管理策略,然后针对传统遗传算法(SGA)在运行过程中存在的收敛速度慢、种群进化动力不足问题进行了算法改进,并使用改进的遗传算法(IGA)优化燃油等效因子。硬件在环仿真试验结果表明:在电量保持阶段电池荷电状态允许的偏差内,该方法可以获得更高的燃油经济性。An energy management strategy is designed and optimized for the Charge Sustaining(CS)period of a Plugin Hybrid Electric Vehicle(PHEV).Firstly,the vehicle energy management strategy is designed based on Equivalent Fuel Consumption Minimization Strategy(ECMS).Secondly,the Standard Genetic Algorithm(SGA)is improved to overcome its disadvantage of low convergence rate and insufficient of population evolution.Fuel equivalent factor is then optimized by the Improved Genetic Algorithm(IGA).Finally,corresponding hardware in the loop simulations are carried out.The results demonstrate that within allowable deviation of SOC,the better fuel economy is achieved by using the proposed method during the CS period of PHEV.

关 键 词：插电式混合动力汽车 电量保持模式 能量管理策略 改进遗传算法 燃油经济性 

分 类 号：U469.79[机械工程—车辆工程]