OPTIMIZATION APPROACH FOR HYBRID ELECTRIC VEHICLE POWERTRAIN DESIGN
OPTIMIZATION APPROACH FOR HYBRID ELECTRIC VEHICLE POWERTRAIN DESIGN作者机构:SchoolofMechanicalandPowerEngineeringShanghaiJiaotongUniversityShanghai200030China
出 版 物:《Chinese Journal of Mechanical Engineering》 (中国机械工程学报(英文版))
年 卷 期:2005年第18卷第1期
页 面:30-36页
核心收录:
学科分类:08[工学] 0807[工学-动力工程及工程热物理]
主 题:Hybrid electric vehicle(HEV) Powertrain Components sizing Optimization Genetic algorithm
摘 要:According to bench test results of fuel economy and engine emission for thereal power-train system of EQ7200HEV car. a 3-D performance map oriented quasi-linear model isdeveloped for the configuration of the powertrain components such as internal combustion engine,traction electric motor, transmission, main retarder and energy storage unit. A genetic algorithmbased on optimization procedure is proposed and applied for parametric optimization of the keycomponents by consideration of requirements of some driving cycles. Through comparison of numericalresults obtained by the genetic algorithm with those by traditional optimization methods, it isshown that the present approach is quite effective and efficient in emission reduction and fueleconomy for the design of the hybrid electric car powertrain.