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机构地区:[1]安徽工业大学机械工程学院,安徽马鞍山243032
出 处:《上海交通大学学报》2015年第8期1108-1113,1122,共7页Journal of Shanghai Jiaotong University
基 金:国家自然科学基金项目(51275002)资助
摘 要:为提高混合动力汽车的智能化控制水平,进一步改善整车燃油经济性和动力性,提出一种多能源动力总成的多智能体协调控制方法.以并联式混合动力汽车为原型,建立动力总成部件子系统智能体模型,构建多智能体系统协调控制框架,根据不同工况模式对总成动力进行预分配,利用单智能体的智能行为和多智能体的协作能力解决车辆对复杂路况的自适应问题.在Cruise软件环境下对智能体控制系统和协调控制策略进行了仿真验证,结果表明,动力总成的多智能体协调控制策略正确可行,使混合动力汽车能根据不同工况自适应控制模式,进而对动力进行自适应匹配,能够改善整车燃油经济性和动力性.A multi-agent coordinated control method for hybrid electric vehicle(HEV)powertrain was proposed to improve the intelligent control,fuel economy and power performance of HEV.Taking the parallel HEV as prototype,agent models of parts subsystem were set up,and coordinated control framework of multi-agent system was constructed.Pre-matching of assembly power was conducted according to different drive cycles.The adaptive problem of complex road condition was resolved by using intelligent active of single agent and cooperation ability of multi-agent.Simulation verification was carried out based on Cruise.The result shows that the multi-agent coordinated control strategy is valid and feasible.The HEV adapts its control model according to different drive cycles,further improving the vehicle fuel economy and power performance.
分 类 号:TP273[自动化与计算机技术—检测技术与自动化装置]
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