基于模型预测控制的PHEV扭矩分配策略研究  

Research on torque distribution strategy of PHEV based on model predictive control

作　　者：吴迪[1] 赵韩[1] 

机构地区：[1]合肥工业大学机械与汽车工程学院,安徽合肥230009

出　　处：《合肥工业大学学报（自然科学版）》2013年第10期1153-1157,共5页Journal of Hefei University of Technology：Natural Science

基　　金：国家"863"节能与新能源汽车重大专项资助项目(2008AA11A139;2011AA11A202)

摘　　要：文章基于模型预测控制算法,对并联式混合动力汽车的扭矩分配问题进行研究;分析和预测加速度变化规律,计算在预测时间内的车速及车轮需求扭矩,并将模型预测控制与动态规划相结合,建立了基于模型预测控制且可以进行滚动优化的控制策略;对比预测宽度和控制宽度对优化结果的影响,选取合适的预测宽度和控制宽度,在Matlab/Simulink平台上搭建了仿真模型;仿真结果证明,该控制策略具有良好的燃油经济性和实时运算的优点。The torque distribution problem of parallel on the model predictive control（MPC） algorithm. hybrid electric vehicle（PHEV） was studied based The acceleration was predicted according to the changing trend. The velocity of the vehicle and the torque of the wheel within the prediction time were calculated. The control strategy was established by the rolling optimization based on the integration of MPC algorithm and dynamic programming. The influence of the prediction horizon and control horizon on the optimization results was studied. The simulation model was founded based on Matlab/Simulink platform with suitable prediction horizon and control horizon. The results verfy that the control strat- egy has good fuel economy performance and it is implementable in real time.

关 键 词：模型预测控制 并联式混合动力汽车 动态规划 滚动优化 

分 类 号：U469.722[机械工程—车辆工程]