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

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~