Journal of South China University of Technology (Natural Science Edition) ›› 2014, Vol. 42 ›› Issue (8): 143-148.doi: 10.3969/j.issn.1000-565X.2014.08.022

• Traffic & Transportation Engineering • Previous Articles    

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

Yu Li-min1 Xiong Hui-yuan1,2 Zong Zhi-jian1,2 Zhang Qing1   

  1. 1.School of Engineering,Sun Yat-sen University,Guangzhou 510006,Guangdong,China;2.Institute of Dongguan-Sun Yat-sen University,Dongguan 523000,Guangdong,China
  • Received:2013-10-11 Revised:2014-04-11 Online:2014-08-25 Published:2014-07-01
  • Contact: 熊会元(1973-)，男，副教授，主要从事电动汽车整车集成与优化控制技术研究． E-mail:xionghy@mail.sysu.edu.cn
  • About author: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
  • 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)

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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.

Key words: battery electric vehicle, acceleration process, control strategy, multi-objective optimization, dynamic programming