不同算法对纯电动汽车动力匹配优化的影响

覃俊源　肖瑜玥　糜沛纹　秦国锋　伍明福　陈冰

摘 要：本文通過计算匹配动力系统参数，提出了两档自动变速器（AMT）驱动方案。基于Isight与Cruise联合仿真平台对动力系统进行仿真分析，以最大爬坡度、最高车速和变速器速比范围为约束条件，以汽车0-100km/h加速时间、最大爬坡度、百公里电耗为目标进行多目标优化，研究多岛遗传算法、NSGA-II、Pointer优化器算法对结果的影响。结果表明，NSGA-II优化收敛更稳定，各优化结果更为平衡。

关键词：优化算法 动力系统 速比优化

Influence of Different Algorithms on Power Matching Optimization of Pure Electric Vehicles

Qin Junyuan Xiao Yuyue Mi Peiwen Qin Guofeng Wu Mingfu Chen Bing

Abstract：This paper presented a two speed automatic transmission （AMT） drive scheme by calculating and matching Powertrain Parameters. Based on iSIGHT and cruise co-simulation platform， the power system was simulated and analyzed. Taking the maximum gradient， maximum speed and transmission speed ratio range as constraints， the multi-objective optimization was carried out with 0-100km / h acceleration time， maximum gradient and 100km power consumption as objectives. The influence of multi Island genetic algorithm， NSGA-II and pointer optimizer algorithm on the results was studied. The results show that the convergence of NSGA-II kkoptimization is more stable and the optimization results are more balanced.

Key words：optimization algorithm， power system， speed ratio optimization