JOURNAL OF LIGHT INDUSTRY

CN 41-1437/TS  ISSN 2096-1553

Volume 32 Issue 5
September 2017
Article Contents
WANG Dong-fang and XING Yi-wen. Optimization of transmission parameters for ISG hybrid electric vehicle based on PSO algorithm[J]. Journal of Light Industry, 2017, 32(5): 57-65. doi: 10.3969/j.issn.2096-1553.2017.5.008
Citation: WANG Dong-fang and XING Yi-wen. Optimization of transmission parameters for ISG hybrid electric vehicle based on PSO algorithm[J]. Journal of Light Industry, 2017, 32(5): 57-65. doi: 10.3969/j.issn.2096-1553.2017.5.008 shu

Optimization of transmission parameters for ISG hybrid electric vehicle based on PSO algorithm

  • Received Date: 2016-07-03
    Accepted Date: 2017-02-23
    Available Online: 2017-09-15
  • In order to further improve the vehicle dynamic performance and fuel economy of ISG hybrid electric vehicle,after parameters matching of powertrain system,advisor software was used to build the vehicle simulation model to verify the feasibility of parameters matching and parts selection.On this basis,transmission main reduction ratio of transmission ratio and transmission of the file were selected as the optimization variables,the related dynamic performance requirements as the constraint conditions,particle swarm optimization (PSO)was used to optimize transmission parameters.Simulation results showed that the maximum climble gradient after optimization increased by 4.3%,fuel consumption per 100 km decreased by 0.8 L,0~100 km/h acceleration time decreased by 1.4 s.
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    1. [1]

      宋珂,章桐.纯电动和串联式混合动力汽车电机传动系参数匹配[J].汽车工程,2013,35(6):559.

    2. [2]

      朱津明.串联式混合动力电动汽车动力系统参数匹配与整车性能仿真[D].合肥:合肥工业大学,2012.

    3. [3]

      LI X Z,ZHANG J L,ZOU W S,et al.Smart car design and implement based on SCM AT89C55 application[J].Advanced Materials Research,2012,503:201.

    4. [4]

      尹安东,谌文文,赵韩,等.基于遗传算法的ISG混合动力汽车参数优化[J].汽车工程,2011,33(10):834.

    5. [5]

      王昕,姜继海,于安才.静液传动混合动力车辆驱动系统优化匹配[J].哈尔滨工业大学学报,2011,43(7):66.

    6. [6]

      BOLONKIN A.AB levitator and electricity storage[J].Aircraft Engineering and Aerospace Technology,2008,80(4):427.

    7. [7]

      王峰.ISG型混合动力依维柯汽车控制策略研究及仿真[D].镇江:江苏大学,2009.

    8. [8]

      陈辰.基于路谱识别的并联混合动力客车控制策略研究[D].长春:吉林大学,2013.

    9. [9]

      初亮,马文涛,蔡健伟,等.基于轮缸压力的制动能量回收率的计算方法[J].汽车工程,2016,38(2):211.

    10. [10]

      何海波.混合动力轻客动力参数匹配及控制策略研究[D].南京:南京林业大学,2010.

    11. [11]

      张毅.并联混合动力汽车能量控制策略仿真研究[D].重庆:重庆大学,2014.

    12. [12]

      李巧燕,全海燕.基于改进粒子群的独立分量分析算法研究[J].轻工学报,2016,31(2):103.

    13. [13]

      雷嗣军.汽车动力传动系参数匹配与仿真优化[D].杭州:浙江大学,2010.

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