可外接充电混合动力汽车能量管理策略

Plug-in Hybrid Electric Vehicle Energy Management Strategy

按照"离线全局优化-在线应用设计-试验结果验证"的设计思路,采用系统仿真建模、动态规划计算、遗传算法优化等方法,对一并联式可外接充电混合动力汽车(Plug-in hybrid electric vehicle,PHEV)能量管理策略进行了研究。由动态规划全局优化方法获取的最优控制,既可以作为制定实时在线策略的宏观指导,也可以作为不同策略的评估标准,对能量管理策略的优化设计具有重要指导意义。而通过在线能量管理策略设计方法,则可以制定出既符合PHEV特点又满足车辆实时性要求的在线能量管理策略。试验验证结果表明:由以上方法获取的三个层次的PHEV能量管理策略,能够根据车辆的不同行驶里程充分利用外围电网充入能量,并对动力总成能量流进行合理分配,使整车经济性能提高50%～57%。

With the design ideas of 'offline global optimization-online application-test verification',a set of energy management strategy(EMS) for a parallel plug-in hybrid electric vehicle(PHEV) is studied by using the methods of system simulation modeling,dynamic programming and computation,genetic algorithm optimization.Through dynamic programming global optimization,an optimal control is obtained and used as a macro-guidance for developing the online EMS or an evaluation criteria for different control strategies.By using online EMS design method,a strategy not only being consistent with the PHEV characteristics but also meet the vehicle real-time control requirement is developed.The test results show that through the obtained three-level EMS,the PHEV can fully utilize the energy charged from the power grid according to different mileage.And the vehicle economic performance is improved by 50%～57%,as the power train energy flow is reasonably distributed.