ISG型中度HEV控制策略优化算法研究  

Research on optimization algorithm of control strategy for a moderate hybrid electric vehicle with ISG

作　　者：赵韩[1] 徐承付[1] 尹安东[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9期1025-1028,共4页Journal of Hefei University of Technology：Natural Science

基　　金：国家"863"节能与新能源汽车重大资助项目(2011AA11A202)

摘　　要：文章针对设计的ISG型中度混合动力汽车(HEV),建立了基于动态规划算法优化控制策略的Matlab/Simulink逆向验证模型,通过仿真得到特定工况下燃油消耗最优值,用以评价之后建立的基于遗传算法优化的Advisor整车模型。比较仿真结果,可以得出基于遗传算法优化的Advisor模型具有较高的精确性,其燃油消耗量与理论最优油耗值误差在3.2%左右,总体油耗值在一个相对理想的范围。According to the design of a moderate hybrid electric vehicle（HEV） with integrated starter and generator（ISG）, a reverse verification model usirig Matlab/Simulink was established, which was based on the dynamic programming algorithm to optimize the control strategy. The optimal fuel con- sumption value in specific driving cycle was given after running the simulation, which was used to e- valuate the vehicle model using Advisor based on genetic algorithm. The simulation results show that the model established by Advisor based on genetic algorithm has high accuracy~ compared to the theo- retical optimal fuel consumption value, the error is around 3.2% and overall fuel consumption value maintains in a relativelv ideal ran~

关 键 词：混合动力汽车 起动发电一体机 动态规划 遗传算法 

分 类 号：U469.72[机械工程—车辆工程]