摘要
为了提高汽车性能,本文根据实际车型参数拟合出汽车扭矩特性曲线方程和燃油特性曲面方程,并通过NSGA-Ⅱ遗传算法对汽车动力传动系统参数进行优化匹配。此外还进行实车实验,结果证明,NSGA-Ⅱ遗传算法对于车辆动力传动系参数优化问题的解决是切实可行的,最后对优化结果进行分析。
In order to improve the performance of automobiles, mainly according to the actual vehicle parameters, the paper fits the curve equation of the torque characteristic curve and the surface equation of the characteristic curve of fuel. The paper introduces the use of NSGA- Ⅱ genetic algorithm for the best match of automotive power train parameters. Moreover, the data of the optimization experiment shows that the NSGA- II genetic algorithm is feasible for the optimization of the parameters of the vehicle power train system. Finally, the paper analyzes the optimized results.
出处
《科技广场》
2015年第9期100-103,共4页
Science Mosaic
