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计及能耗经济性和电池寿命的PHEV能量管理策略优化 被引量:6

Optimization of PHEV energy management strategy considering battery life and energy consumption economy
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摘要 针对一款混联式双电机插电混合动力汽车,建立了整车动力学模型和电池寿命衰减模型,同时为反映电池温度对电池寿命的影响,建立了电池温度模型;考虑能量管理控制对能耗经济性和电池寿命衰减的影响,制定了一种多模式逻辑规则能量管理策略,并分析了控制参数变化对能耗经济性和电池寿命的影响。建立包含等效油耗和电池寿命衰减的多目标优化模型,基于多目标改进遗传算法对能量管理策略控制参数进行优化,优化结果表明:基于本文插电式混合动力汽车能量管理策略的优化方法得到的控制参数Pareto最优解集兼顾了插电式混合动力汽车的能耗经济性和电池寿命,可以得到多组不同的控制参数优化解,为能量管理策略的设计应用提供了多种可供选择的方案。 In this paper,a vehicle dynamics model and a battery life attenuation model were established for a hybrid dual-motor plug-in hybrid vehicle.At the same time,to reflect the influence of battery temperature on battery life,a battery temperature model was also established.Considering the impact of energy management control on energy economy and battery life decay,a energy management strategy of multi-mode logic rules was developed,and the impact of different control parameters on energy economy and battery life was analyzed.A multi-objective optimization model with equivalent fuel consumption and battery life attenuation was established to optimize the energy management strategy control parameters based on multi-objective improved genetic algorithm.The results show that the Pareto optimal solutions based on the design and optimization method of PHEV(plug-in hybrid electric vehicle)energy management strategy in this article are feasible in terms of both energy consumption economy and battery life of plug-in hybrid vehicles.With many different optimal solutions of control parameters,it provides a variety of alternative schemes for the design and application of PHEV energy management strategy.
作者 秦大同 章晓星 姚明尧 QIN Datong;ZHANG Xiaoxing;YAO Mingyao(State Key Laboratory of Mechanical Transmissions,Chongqing University,Chongqing 400044,P.R.China)
出处 《重庆大学学报(自然科学版)》 EI CAS CSCD 北大核心 2020年第10期1-11,共11页 Journal of Chongqing University
基金 国家重点研发计划资助项目(2016YFB0101402) 中央高校基本科研业务费资助项目(2018CDJDCD0001)。
关键词 插电式混合动力汽车 能量管理策略 能耗经济性 电池寿命 多目标优化 PHEV energy management strategy energy consumption economy battery life multi-objective optimization
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