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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
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