ISG型速度耦合混合动力系统全局最优控制方法  

Study on global optimization control strategy of ISG velocity coupling hybrid electric vehicle

作　　者：杨亚联[1] 蒲斌[1] 胡晓松[2] 叶盼[1] 

机构地区：[1]重庆大学机械传动国家重点实验室,重庆400044 [2]北京理工大学机械与车辆学院,北京100081

出　　处：《重庆大学学报（自然科学版）》2013年第9期71-77,共7页Journal of Chongqing University

基　　金：国家自然科学基金资助项目(51075411)

摘　　要：混合动力系统具有节能和环保优势,为了提高混合动力系统的燃油经济性,结合ISG(integrated starter generator)型速度耦合混合动力系统的结构,构建了系统动力学模型。利用动态规划方法,设计了以发动机节气门开度和电机转矩为控制变量,以发动机转速和电池SOC等为状态变量,以整个循环发动机燃油消耗最低为目标函数,电池SOC维持平衡和限制频繁换挡为附加代价函数的动态规划算法。仿真结果表明:与传统的基础车型相比,混合动力系统燃油经济性提高了35.5%。Hybrid system has the advantage of energy conservation and environmental protection. To improve the fuel economy of a hybrid system, based on the structure of the ISG velocity coupling HEV （hybrid electric vehicle）,a dynamics simulation model is built. By using dynamic programming（DP） global optimization method, the variables of the engine throttle and the motor torque are set as the control variables, and the engine speed and the battery SOC are set as the state variables, the engine fuel economy is set as the objective function,and the battery SOC balance and the limited frequent shifting are set as the additional cost function. Then a global optimization program is built, and the simulation results indicate that the fuel economy of DP control HEV is 35.5% more efficient than that of the conventional vehicle.

关 键 词：混合动力汽车 ISG（integrated STARTER generator）电机 控制理论 动态规划 速度耦合 

分 类 号：U469.7[机械工程—车辆工程]