多目标遗传算法的混合动力传动系参数优化  

Parametric Optimization of Hybrid Powertrain Based on Multi-objective Genetic Algorithm

作　　者：尹安东[1] 赵韩[1] 杨亚娟[1] 冯瑞[2] 

机构地区：[1]合肥工业大学,合肥230009 [2]陕西法士特汽车传动工程研究院,西安710119

出　　处：《中国机械工程》2013年第4期552-556,共5页China Mechanical Engineering

基　　金：国家高技术研究发展计划(863计划)资助项目(2011AA11A202);安徽省自然科学基金资助项目(1208085ME78);合肥工业大学博士专项科研基金资助项目(2011HGBZ0931)

摘　　要：对基于超级电容的混合动力客车(hybrid electric bus,HEB)进行了混合动力传动系多目标参数优化设计。通过CRUISE建立HEB整车仿真模型和传动系多目标参数优化模型,以等效燃油消耗量和加速时间为优化目标,同时运用带精英策略的非支配排序遗传算法(NSGA-Ⅱ)和iSIGHT优化软件对HEB传动系参数进行多目标优化,并进行了HEB性能仿真分析。结果表明,与优化前相比,优化后的等效燃油消耗量降低了7.8%,连续换挡加速时间减少了6.5%。Based on the characteristics analyses of a H EB of super capacitor,a multi-objective parameter optimization for HEB powertrain was designed. The multi-objective optimization model for HEB powertrain was established via CRUISE. Taking fuel consumption and acceleration time of HEB as targets of the optimization,the elitist non-dominated sorting genetic algorithm （NSGA-Ⅱ ） was applied to optimize the powertrain parameters of HEB by a optimization software iSIGHT. The per formance simulations were carried on an instance HEB,the results show that the fuel consumption is reduced by 7.8%and acceleration time is reduced by 6.5 %,compared with the road testing of the instance HEB.

关 键 词：混合动力客车 动力传动系 多目标遗传算法 参数优化 

分 类 号：U469.7[机械工程—车辆工程]