Modern Manufacturing Engineering ›› 2018, Vol. 452 ›› Issue (5): 43-49.doi: 10.16731/j.cnki.1671-3133.2018.05.009

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Research on estimation methods of battery SOH for electric vehicle

Deng Tao, Luo Weixing   

  1. School of Mechatronics & Automotive Engineering,Chongqing Jiaotong University,Chongqing 400074,China
  • Received:2016-04-28 Online:2018-05-18 Published:2018-07-20

Abstract: Real-time estimation of battery State of Health (SOH)for electric vehicleis has very important significance for guaranteeing charging and discharging performance of each battery pack and extending the life of entire battery pack.As an important part of battery management system,compared to the battery State of Charge (SOC)and battery equalization system,research on SOH obviously falls behind.The definition of battery SOH and its main influencing factors are introduced,the online and offline estimation methods are classified,and the common SOH estimation methods are discussed.Finally,the trend of SOH estimation method is looked forward,moreover the Kalman filtering online estimation and intelligent learning neural network online estimation methods are pointed out to be the future mainstream method

Key words: electric vehicle, power battery, State of Health(SOH), estimation method

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