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1、第43卷第8期中南大学学报(自然科学版)Vol.43No.82012年 8月JournalofCentralSouth University(Scienceand Technology)Aug. 2012基于改进遗传算法的微型电动车轮毂电机优化设计111112陈齐平，舒红宇，任凯，陈里敏，陈博，谢安源(1.重庆大学机械传动国家重点实验室，重庆，400044；2.重庆神驰机电有限公司，重庆，400700) 摘要：为了获得高效率和低成本的微型电动车轮毂电机，优化设计一种新型驱动轮毂电机。介绍简单遗传算法和模式搜索法在驱动轮毂电机优化设计中的应用，针对它们优化设计效果不
2、显著的缺点，提出一种改进的遗传算法。在对微型电动车轮毂电机进行研究的基础上，针对驱动轮毂电机设计特点，重新建立驱动轮毂电机优化设计数学模型，并以实例进行优化计算。研究结果表明：驱动轮毂电机的效率提高，成本降低，能满足微型电动车对驱动轮毂电机的使用要求，因此，对于驱动轮毂电机的优化设计，改进遗传算法是一种比较理想的算法，具有广阔的工程应用价值。关键词：微型电动车；轮毂电机；改进遗传算法；优化设计中图分类号：TM359 文献标志码：A文章编号：1672−7207(2012)08−3013−06Optimization design of driving inwheel
3、motor ofmicroelectric vehicle based onimprovement genetic algorithm111112CHENQiping ,SHUHongyu ,RENKai,CHENLimin ,CHENBo ,XIEAnyuan (1.TheState KeyLaboratoryofMechanicalTransmission,ChongqingUniversity,Chongqing400044,China;2.ChongqingSenciElectrical&MechanicalCo.,Ltd,400700,China )Ab
4、stract:In ordertoacquireahigh efficiencyand lowcostinwheelmotorofmicroelectricvehicle,a newdriving inwheelmotorwasoptimizedanddesigned.Thesimplegeneticalgorithmandpattern search method appliedin driving inwheelmotoroftheoptimumdesign were introduced.The disadvantagesofthese twomethods
5、thatthe effects ofoptimization design were nonsignificantwere pointed out,and an improvementgeneticalgorithmbasedon these was putforward.On thebasis ofthe studyofthe inwheelmotorofmicroelectricvehicle andin thelightofthe design featuresofdrivinginwheelmotor,a newmathematicalmodelofdri
6、vinginwheelmotoroptimization design wasestablished,anda livingexample wasoptimized andcomputed.Theresultsshowthattheefficiency ofthe drivinginwheelmotoris improved,andthe costare decreased,which cansatisfytheusingrequirements ofdrivinginwheelmotorofmicroelectricvehicle.Therefore,the i
7、mprovementgeneticalgorithmis an idealalgorithmin optimization design ofdrivinginwheelmotor,which hasawide rangeofengineeringapplication.Keywords:microelectricvehicle;inwheelmotor;improvementgeneticalgorithm;optimization design 随着世界经济的持续增长，石油资源紧缺和全球工业可持续发展的关键在于开发出节能环保电动汽环境恶化问题受到各国政府和汽车
8、企业的高度
