• CN：11-2187/TH
  • ISSN：0577-6686
机械工程学报

›› 2005, Vol. 41 ›› Issue (12): 62-65.

• 论文 • 上一篇    下一篇

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镍氢电池组的荷电状态估计方法研究

王军平;陈全世;林成涛   

  1. 西安交通大学机械工程学院;清华大学汽车安全与节能国家重点实验室
  • 发布日期:2005-12-15

STUDY ON ESTIMATING OF THE STATE OF CHARGE OF NI/MH BATTERY PACK FOR ELECTRIC VEHICLE

Wang Junping;Chen Quanshi;Lin Chengtao   

  1. School of Mechanical Engineering, Xi’an Jiaotong University State Key Laboratory of Automobile Safety & Energy Conservation, Tsinghua University
  • Published:2005-12-15

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摘要： 采用联邦城市行驶工况(FUDS)对电池组进行充放电试验，建立了单变量的镍氢电池组的状态空间模型。将电池荷电状态(State of charge, SOC)作为系统的状态，基于卡尔曼滤波进行SOC的估计，估计结果的最大相对误差为2.15%。该方法适合于电池工作为动态的混合动力汽车，也同样适用于那些电池状态变化不剧烈的场合，并且具有较小的计算量。

关键词: 荷电状态, 卡尔曼滤波, 镍氢电池组

Abstract: The FUDS is used to charge and discharge the Ni/MH battery pack and the battery’s state space model with single state is built. Take the SOC as the state of the system the estimating SOC based on Kalman-filtering method is studied. The max relatively error of the estimating results is 2.15%. This method is suit for the HEV where the batteries working in dynamic state or silent state. This method has less computation burden and is suitable for application.

Key words: Kalman filtering method, Ni/MH battery pack, State of charge

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