China Mechanical Engineering ›› 2013, Vol. 24 ›› Issue (4): 552-556.

Previous Articles     Next Articles

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

Yin Andong1;Zhao Han1;Yang Yajuan1;Feng Rui2   

  1. 1.Hefei University of Technology,Hefei,230009
    2.Shaanxi Fast Auto Drive Engineering Research Institute,Xi'an,710119
  • Online:2013-02-25 Published:2013-02-28
  • Supported by:
     
    National High-tech R&D Program of China (863 Program) (No. 2011AA11A202);
    Anhui Provincial Natural Science Foundation of China(No. 1208085ME78)

多目标遗传算法的混合动力传动系参数优化

尹安东1;赵韩1;杨亚娟1;冯瑞2   

  1. 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
  • 基金资助:
    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)
    National High-tech R&D Program of China (863 Program) (No. 2011AA11A202);
    Anhui Provincial Natural Science Foundation of China(No. 1208085ME78)

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.

Key words: hybrid electric bus(HEB), powertrain, multi-objective genetic algorithm, parameter optimization

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

CLC Number: