中国机械工程

• 机械基础工程 • 上一篇    下一篇

混合动力挖掘机电回转系统储能容量的优化配置

郭浩1;王辉1;吴;轩1;陈建文2   

  1. 1.Hunan University,Changsha,410082
    2.China North Industries Group Jianglu Electrical Group Co.,Ltd.,Xiangtan,Hunan,411100
  • 出版日期:2016-06-25 发布日期:2016-06-24
  • 基金资助:
    湖南省战略性新兴产业科技攻关项目(2012GK4080)
    Hunan Provincial Strategic Emerging Industry S&T Research Project(No. 2012GK4080)

Optimal Configuration of the Storage Capacity in Hybrid Excavator Motoring System

Guo Hao1;Wang Hui1;Wu Xuan1;Chen Jianwen2   

  1. 1.湖南大学,长沙,410082
    2.中国兵器工业集团江麓机电集团有限公司,湘潭,411100
  • Online:2016-06-25 Published:2016-06-24
  • Supported by:
    Hunan Provincial Strategic Emerging Industry S&T Research Project(No. 2012GK4080)

摘要: 为了解决混合动力挖掘机电回转系统中超级电容储能容量配置较大、价格昂贵的问题,提高整个驱动系统的性价比,提出了一种将超级电容应用于混合动力挖掘机电回转系统的功率匹配策略,并在此基础上将超级电容储能系统的性价比作为储能容量的优化目标。运用遗传算法对建立的系统数学模型进行容量优化配置。最后通过搭建系统的MATLAB模型进行了仿真验证,并对优化前后参数进行了对比。结果表明,该优化模型提高了混合动力挖掘机回转驱动系统的性价比,对于混合动力挖掘机电回转系统中超级电容容量的配置有一定的参考作用。

关键词: 超级电容储能系统, 混合动力挖掘机, 遗传算法, 容量优化配置

Abstract: In order to solve the problems of large storage capacity, high cost, and improve the performances of the whole drive system, a power matching strategy was proposed based on super capacitor energy storage system applied to hybrid excavator rotary system. And then the performance price ratio of the super capacitor energy storage system was used as the optimal target of the storage capacity. The genetic algorithm was used to optimize the mathematics model established and simulation validation was made in the MATLAB model of the hybrid electric drive system, the parameters were compared before and after optimization. The results show that the optimized model may improve the performance price ratio of the hybrid excavator rotary drive system, the optimization of the storage capacity in hybrid excavator motoring system has some theoretical and practical guidances.

Key words: supercapacitor energy storage system, hybrid excavator, genetic algorithm, capacity optimal configuration

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