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基于混合粒子群的电动汽车转矩分配策略研究

Research on Torque Distribution Strategy for Electric Vehicle Based on Hybrid Particle Swarm Optimization

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【作者】 焦保华陈勇

【Author】 JIAO Bao-hua;CHEN Yong;Mechanical Electrical Engineering School, Beijing Information Science & Technology University;Collaborative Innovation Center of Electric Vehicles in Beijing;Beijing Laboratory for New Energy Vehicles;

【通讯作者】 陈勇;

【机构】 北京信息科技大学机电工程学院北京电动车辆协同创新中心新能源汽车北京实验室

【摘要】 针对双电机驱动系统电动汽车前、后轴电机转矩分配问题,利用Simulink与AVL-Cruise软件建立了双电机电动汽车整车模型;基于车辆构型特点建立双电机驱动系统效率数学模型,以双电机驱动系统的整体效率最高为优化目标,在前、后轴电机特性约束范围内通过混合粒子群算法,对转矩分配系数进行迭代优化研究。仿真结果表明,在单个工况点和连续运行工况下,混合粒子群算法的转矩分配策略能够实现合理的转矩分配满足车辆行驶的需求,在NEDC、CLTC-P、WLTC三种循环工况下,采用该策略的电动汽车续驶里程延长了11.71%、9.06%、9.46%,双电机电动汽车的经济性明显提升。

【Abstract】 To distribute torque between front and rear shafts of the powertrain with dual motors in electric vehicles, a whole vehicle model of dual motors electric vehicle is built by Simulink andAVL-Cruise software. Based on the configuration characteristics of electric vehicle, the efficiency mathematical model of powertrain with dual motorsis established. Taking the overall efficiency of the powertrain as the optimization goal, the torque distribution coefficient is iteratively optimized by hybrid particle swarm optimization algorithm within the constraint range of the front and rear axle motors characteristics. The simulation results show that the torque distribution strategy can achieve reasonable torque distribution to meet the driving demand of vehicles under single operating condition and continuous operating condition. Under NEDC,CLTC-P and WLTC three cycle conditions, the driving range of electric vehicles with this strategy is extended by 11.71%,9.06% and 9.46%. The economy of powertrain with dual motors in electric Vehiclehas improved significantly.

【基金】 科技创新服务能力建设-北京实验室建设项目(PXM2020_014224_000065)
  • 【文献出处】 计算机仿真 ,Computer Simulation , 编辑部邮箱 ,2024年06期
  • 【分类号】U469.72
  • 【下载频次】28
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