不同算法對(duì)純電動(dòng)汽車動(dòng)力匹配優(yōu)化的影響

覃俊源　肖瑜玥　糜沛紋　秦國(guó)鋒　伍明?！￡惐?/p>

摘 要：本文通過計(jì)算匹配動(dòng)力系統(tǒng)參數(shù)，提出了兩檔自動(dòng)變速器（AMT）驅(qū)動(dòng)方案?；贗sight與Cruise聯(lián)合仿真平臺(tái)對(duì)動(dòng)力系統(tǒng)進(jìn)行仿真分析，以最大爬坡度、最高車速和變速器速比范圍為約束條件，以汽車0-100km/h加速時(shí)間、最大爬坡度、百公里電耗為目標(biāo)進(jìn)行多目標(biāo)優(yōu)化，研究多島遺傳算法、NSGA-II、Pointer優(yōu)化器算法對(duì)結(jié)果的影響。結(jié)果表明，NSGA-II優(yōu)化收斂更穩(wěn)定，各優(yōu)化結(jié)果更為平衡。

關(guān)鍵詞：優(yōu)化算法 動(dòng)力系統(tǒng) 速比優(yōu)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