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多目标遗传算法的混合动力传动系参数优化
引用本文:尹安东,赵韩,杨亚娟,冯瑞.多目标遗传算法的混合动力传动系参数优化[J].中国机械工程,2013,24(4):552-556.
作者姓名:尹安东  赵韩  杨亚娟  冯瑞
作者单位: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
基金项目: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%。


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

Parametric Optimization of Hybrid Powertrain Based on Multi-objective Genetic Algorithm
Yin Andong,Zhao Han,Yang Yajuan,Feng Rui.Parametric Optimization of Hybrid Powertrain Based on Multi-objective Genetic Algorithm[J].China Mechanical Engineering,2013,24(4):552-556.
Authors:Yin Andong  Zhao Han  Yang Yajuan  Feng Rui
Affiliation:1.Hefei University of Technology,Hefei,230009 2.Shaanxi Fast Auto Drive Engineering Research Institute,Xi’an,710119
Abstract:Based on the characteristics analyses of a HEB 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 performance 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.
Keywords:hybrid electric bus(HEB)  powertrain  multi-objective genetic algorithm  parameter optimization
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