中度混合动力汽车燃油经济性预测控制研究

利用车载全球定位系统(Global Position System,GPS)和地理信息系统(Geographic Information System,GIS)所提供的混合动力汽车未来一段预测路线上的道路交通信息、以及汽车当前运行状态模型,建立混合动力汽车在未来一段预测路线上的运行状态模型;以蓄电池荷电状态为系统状态变量,电动机/发电机转矩为决策变量,混合动力汽车等效燃油消耗量最低为优化控制目标函数,运用动态规划逆序算法,建立了中度混合动力汽车预测控制数学模型;研究了混合动力汽车转矩分配的最优控制方法,并就如何减少动态规划法的计算量进行了研究。文中给出了某混合动力汽车的最优控制计算实例结果。

Study on Predictive Control of Fuel Economy for Medium HEVs

Applying the information of road and traffic in the future predictive route provided by Global Position System and Geographic Information System on board,and current driving states of HEVs,the driving state model in the future predictive route was set up.A predictive control model of medium HEVs was established by applying dynamic programming reverse algorithm,which the battery state of charge was chosen as state variable,motor/generator torque was chosen as decision variable,and the minimal equivalent fuel consumption was chosen as the optimal control target.The optimal control method for the torque distribution of HEVs was studied,and some methods were offered to reduce the dynamic programming computation.Finally the calculation results of a HEV for the optimal control was presented.