基于遗传算法的插电式串联混合动力汽车动力参数优化  

Parameter Optimization of a PSHEV Based on Genetic Algorithm

作　　者：王润才[1] 何仁[1] 俞剑波[1] 胡春花[1,2] 

机构地区：[1]江苏大学,镇江212013 [2]镇江高等专科学校,镇江212013

出　　处：《中国机械工程》2013年第18期2544-2549,共6页China Mechanical Engineering

基　　金：江苏省科技成果转化项目(BA2010050)

摘　　要：针对插电式串联混合动力汽车(PSHEV)动力参数优化问题的多目标、有约束和高度非线性的特点,应用遗传算法工具箱和ADVISOR的非GUI函数,以整车设计要求的动力性能指标为约束条件,以整车百公里燃油消耗量和排放性能为目标函数,建立了PSHEV动力参数优化的仿真模型,实现了对PSHEV动力系统部件参数和控制策略参数的同时优化。最后应用该优化模型对某PSHEV进行仿真分析,结果表明该优化仿真模型能够显著降低PSHEV的百公里燃油消耗量,在保证动力性能的前提下,整车的燃油经济性和排放性能也得到了提高。Aiming at the characteristics of multi--objective,with constraints and highly non--linear in the parameter optimization of a PSHEV using the genetic algorithm toolbox and ADVISOR without the GUI,a simulation model of the parameter optimization of PSHEV was built,which can be used to simulate both the powertrain parameters and the control strategy parameters. The constraints of the model were the designed dynamic performances and the objective function was the fuel consumption and emission performance. Finally,the simulation model was applied to simulate a PSHEV.Simulation results demonstrate that the fuel consumption of PSHEV is reduced significantly and the fuel economy as well as emission performance of a PSHEV are also improved under the premise of guarantee of the dynamic performance.

关 键 词：遗传算法 插电式串联混合动力汽车 ADVISOR 多目标优化 

分 类 号：U469.72[机械工程—车辆工程]