交通与运输工程

基于动态规划的电动汽车加速过程优化控制

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  • 1.中山大学 工学院,广东 广州 510006; 2.东莞中山大学研究院,广东 东莞 523000
于丽敏(1987-),女,博士生,主要从事电动汽车优化控制技术研究. E-mail:yulimin@mail2.sysu.edu.cn

收稿日期: 2013-10-11

  修回日期: 2014-04-11

  网络出版日期: 2014-07-01

基金资助

东莞市重大科技专项( 2011215155) ; 广东省战略性新兴产业核心技术攻关资助项目( 2012A010702001)

Optimal Acceleration Control Strategy of Battery Electric Vehicles Based on Dynamic Programming

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  • 1.School of Engineering,Sun Yat-sen University,Guangzhou 510006,Guangdong,China;2.Institute of Dongguan-Sun Yat-sen University,Dongguan 523000,Guangdong,China
于丽敏(1987-),女,博士生,主要从事电动汽车优化控制技术研究. E-mail:yulimin@mail2.sysu.edu.cn

Received date: 2013-10-11

  Revised date: 2014-04-11

  Online published: 2014-07-01

Supported by

东莞市重大科技专项( 2011215155) ; 广东省战略性新兴产业核心技术攻关资助项目( 2012A010702001)

摘要

为提高纯电动汽车能量利用效率,针对电动汽车加速过程,提出了基于动态规划算法的优化控制策略. 建立了基于效率图的电机及驱动系统模型和锂离子动力电池组美国新一代汽车合作伙伴计划( PNGV) 等效模型,以及整车能源和动力系统的效率模型; 构建了整车动力性和经济性的多目标价值函数,采用动态规划算法获得加速过程中优化的电机控制指令路径. 基于Matlab 平台对城市通勤电动汽车( ECUV) 车型进行仿真,结果显示,百公里加速时经济性最优的加速路径能耗降低了22.42%,说明优化的路径能有效提高整车效率减少能量损耗,优化方法可行.

本文引用格式

于丽敏 熊会元 宗志坚 张庆 . 基于动态规划的电动汽车加速过程优化控制[J]. 华南理工大学学报(自然科学版), 2014 , 42(8) : 143 -148 . DOI: 10.3969/j.issn.1000-565X.2014.08.022

Abstract

In order to improve the energy utilization efficiency of battery electric vehicles,an optimal control strategybased on the dynamic programming algorithm is proposed for the acceleration control of the electric vehicle.First,this paper establishes a PMSM ( Permanent Magnet Synchronous Motor) motor system model based on the efficiencymap and a PNGV( Partnership for a New Generation of Vehicles) -equivalent circuit model of the Li-ion battery packas well as an efficiency model of the overall energy-powertrain.Then,a multi-objective cost function considering thepower and electrical consumption of the overall vehicle is constructed,and the dynamic programming algorithm isemployed to obtain an optimal motor torque trajectory in the acceleration process.Finally,an ECUV( ElectricalCommuter Urban Vehicle) is simulated on the Matlab platform.Simulation results demonstrate that,when thevehicle accelerates from 0 to 100 km/h,the proposed of the economic optimal acceleration trajectory decreases theelectricity consumption by 22.42% in comparison with the regular control strategy,which means that the proposedcontrol strategy is feasible and can effectively improve the energy efficiency of the overall vehicle with an energy lossreduction.

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