摘要
文章基于模型预测控制算法,研究ISG混合动力汽车的扭矩分配问题,提出利用指数函数预测车轮扭矩的方法,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以燃油消耗为目标函数进行滚动优化的控制策略;在Matlab/Simulink平台上搭建了仿真模型,基于dSPACE搭建硬件在环仿真试验平台;结果证明,利用指数函数进行预测是可行的,且该控制策略具有良好的燃油经济性和实时性。
The problem of the torque distribution of ISG hybrid electric vehicle（HEV） was studied based on the model predictive control（MPC） algorithm. A method of exponential function was pro- posed to predict the torque of the wheel. The control strategy was established by the rolling optimiza- tion for the fuel consumption based on the combination of MPC algorithm and dynamic programming. The simulation model was founded based on Matlab/Simulink. Both the results of the simulation for the ISG HEV model based on Matlab/Simulink and hard-in-the-loop test based on dSPACE verify that the prediction method with exponential function is feasible. It is shown that the control strategy has good fuel economy performance and is real-time implementable.
出处
《合肥工业大学学报（自然科学版）》
CAS
CSCD
北大核心
2014年第1期1-5,共5页
Journal of Hefei University of Technology：Natural Science
基金
国家863计划节能与新能源汽车重大专项资助项目(2008AA11A139
2011AA11A202)
关键词
模型预测控制
ISG混合动力汽车
动态规划
指数函数
model predictive control（MPC）
ISG hybrid electric vehicle（HEV）
dynamic program-ming~ exponential function
