Improved genetic optimization of electric motorcycle planetary transmission

doi:10.4028/www.scientific.net/AMM.246-247.164

CQUET-IR

	Improved genetic optimization of electric motorcycle planetary transmission
	Yu, Pei Lin 1; Yong, Wang 2
	2013
会议录名称	Applied Mechanics and Materials
卷号	246-247
页码	164-168
会议名称	2nd International Conference on Computer-Aided Design, Manufacturing, Modeling and Simulation, CDMMS 2012
会议日期	September 21, 2012 - September 23, 2012
会议地点	Chongqing, China
会议录编者/会议主办者	National Natural Science Foundation of China (NSFC)
出版者	Trans Tech Publications, P.O. Box 1254, Clausthal-Zellerfeld, D-38670, Germany
摘要	Determination of dedendum circle diameter of ring gear in planetary gear drives is an important issue in preliminary design of electric motorcycle transmission. Genetic optimization is used to automate preliminary design of gears by minimizing volume of gear trains. An improved genetic optimization method was applied to a planetary gear transmission of electric motorcycle. Gray code way was applied in variable binary strings for improve research efficiency. Dynamic penalty functions were introduced to the objective function for handing the design constraints. The results were compared with a enumeration method usually applied. Improved GA produced quite well results promptly supplying design parameters of a planetary gear transmission. © (2013) Trans Tech Publications, Switzerland.
关键词	Computer aided design Computer simulation Epicyclic gears Genetic algorithms Manufacture Motorcycles Optimization Power transmission Binary string Design constraints Design parameters Electric motorcycle Enumeration method Gear train Genetic optimization Gray codes Objective functions Penalty function Planetary gear drive Planetary gear transmission Planetary Gears Planetary transmission Preliminary design Research efficiency
DOI	10.4028/www.scientific.net/AMM.246-247.164
收录类别	EI
语种	英语
EI入藏号	20130515973968
原始文献类型	Conference article (CA)
文献类型	会议论文
条目标识符	https://ir.cqcet.edu.cn/handle/39TD4454/3398
专题	重庆电子科技职业大学
作者单位	1.Southwest University, 400715 Chongqing, China; 2.Chongqing College of Electronic Engineering, 401331 Chongqing, China
推荐引用方式 GB/T 7714	Yu, Pei Lin,Yong, Wang. Improved genetic optimization of electric motorcycle planetary transmission[C]//National Natural Science Foundation of China (NSFC):Trans Tech Publications, P.O. Box 1254, Clausthal-Zellerfeld, D-38670, Germany,2013:164-168.