中国机械工程

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[分布式驱动电动汽车动力学控制]四轮驱动电动汽车多Agent能量管理体系研究

殷国栋;李广民;朱侗;陈建松   

  1. 东南大学机械工程学院,南京,211189
  • 出版日期:2018-08-10 发布日期:2018-08-06
  • 基金资助:
    国家自然科学基金汽车联合基金资助重点项目(U1664258);
    国家自然科学基金资助项目(51575103);
    国家重点研发计划资助项目(2016YFB0100906、2016YFD0700905)

Study on Multi-Agent System of Energy Managements for 4WD Electric Vehicles

YIN Guodong;LI Guangmin;ZHU Tong;CHEN Jiansong   

  1. School of Mechanical Engineering,Southeast University,Nanjing,211189
  • Online:2018-08-10 Published:2018-08-06

摘要:

为探究四轮驱动电动汽车各用电系统的能量流动关系,基于多Agent系统思想构建四轮驱动电动汽车能量管理体系框架,并对该体系框架进行细部描述。对能量管理体系进行多Agent系统数学建模,基于状态转移和可传递置信模型搭建了决策规划层。利用Netlogo仿真软件建立了能量管理多Agent体系模型,并对电动汽车急加速工况下的能量配置状况进行了动态模拟。结果表明,所建立的能量管理多Agent模型能够动态调节各Agent的能量分配权重,在满足车辆系统动力性要求的前提下协调各Agent的能量配给。

关键词: 四轮驱动电动汽车, 多智能体, 能量管理, 行为规划, 决策融合

Abstract: In order to explore the energy flow relationship of each electricity system of 4WD electric vehicles, a framework of energy managements for 4WD electric vehicles was structured based on multi-Agent system, and details of this framework were described. A mathematical model of multi-Agent system for energy managements was built with a decision-planning layer based on state transition and transferable belief model. The models of multi-Agent system for energy managements were built in Netlogo, and the energy configuration status was simulated under the rapid acceleration working conditions of electric vehicles using Netlogo. It indicates that the framework of the built energy management multi-Agent system may adjust the energy distribution weights of each Agent dynamically, and the energy allocation of each Agent maybe coordinated reasonably on the premise of satisfying dynamics requirements.

Key words: four-wheel drive(4WD) electric vehicle, multi-Agent, energy management, motion planning, decision fusion

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