计算机集成制造系统 ›› 2019, Vol. 25 ›› Issue (第7): 1706-1716.DOI: 10.13196/j.cims.2019.07.011

• 当期目次 • 上一篇    下一篇

电动汽车两挡动力系统参数与控制策略集成优化

李聪波,朱道光,胡芮,杨青山   

  1. 重庆大学机械传动国家重点实验室
  • 出版日期:2019-07-31 发布日期:2019-07-31
  • 基金资助:
    重庆市技术创新与应用示范项目(cstc2018jszx-cyzdX0146);中央高校基本科研业务费资助项目(cqu2018CDHB1B07)。

Integrated approach of two-speed power system parameter and control strategy optimization for electric vehicle

  • Online:2019-07-31 Published:2019-07-31
  • Supported by:
    Project supported by the Chongqing Municipal Technology Innovation and Application Program,China(No.cstc2018jszx-cyzdX0146),and the Fundamental Research Funds for the Central Universities,China(No.cqu2018CDHB1B07).

摘要: 为提高电动汽车经济性,延长续航里程,提出一种基于循环工况的两挡动力系统参数与控制策略集成优化方法。首先,根据电动汽车性能指标对动力系统参数进行初步匹配,确定动力系统参数优化范围;进而对传统最佳动力性控制策略和经济性控制策略进行分析,提出综合性能控制策略设计方法;然后利用交叉粒子群优化算法,分别基于NEDC、Ja1015、UDDS循环工况,以工况能耗和百公里加速时间为优化目标,对动力系统参数与控制策略进行集成优化;最后,利用MATLAB/Simulink仿真平台对优化结果进行整车循环工况仿真分析。结果表明,所提设计优化方法在不同工况下均能有效降低电动汽车的能耗,延长续航里程。

关键词: 电动汽车, 动力系统参数, 控制策略, 集成优化, 续航里程

Abstract: To improve the economics performance and extend the range of electric vehicle,an integrated optimization method for design and optimization of powertrain parameters and control strategy based on driving cycle were proposed.According to the dynamic requirements of electric vehicles,powertrain parameters were preliminary matched that provided a feasible interval for parameters optimization.The control strategy with comprehensive performance was designed based on the analysis of traditional optimal dynamic and economy control strategy.By taking minimum energy consumption and acceleration time for 0~100 km/h as objectives,a multi-objective particle swarm optimization algorithm was presented to solve the integrated optimization problem of powertrain parameter and control strategy optimization for electric vehicle under different driving cycle such as NEDC、Ja1015、UDDS.To demonstrate the energy-saving performance as well as the extended range of electric vehicle,a whole vehicle simulation model was developed with Matlab/Simulink platform.The simulation results showed that the proposed method could effectively reduce the energy consumption and extend range of electric vehicle under different driving cycle.

Key words: electric vehicle, power system parameter, control strategy, integrated optimization, range

中图分类号: