不同算法對純電動汽車動力匹配優化的影響

覃俊源　肖瑜玥　糜沛紋　秦國鋒　伍明福　陳冰

摘 要：本文通過計算匹配動力系統參數，提出了兩檔自動變速器（AMT）驅動方案。基于Isight與Cruise聯合仿真平臺對動力系統進行仿真分析，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加速時間、最大爬坡度、百公里電耗為目標進行多目標優化，研究多島遺傳算法、NSGA-II、Pointer優化器算法對結果的影響。結果表明，NSGA-II優化收斂更穩定，各優化結果更為平衡。

關鍵詞：優化算法 動力系統 速比優化

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