Journal of Terahertz Science and Electronic Information Technology , Volume. 18, Issue 4, 750(2020)

Cooperative estimation of SOC and SOH for power lithium-ion batteries

LIU Xi1,2, LI Lin1,2, and LIU Hailong1,2、*
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  • 1[in Chinese]
  • 2[in Chinese]
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    References(6)

    [3] [3] ZOU Y,HU X,MA H,et al. Combined state of charge and state of health estimation over lithium-ion battery cell cycle lifespan for electric vehicles[J]. Journal of Power Sources, 2015,273:793-803.

    [4] [4] CHARKHGARD M,FARROKHI M. State-of-charge estimation for lithium-ion batteries using neural networks and EKF[J]. IEEE Transactions on Industrial Electronics, 2011,57(12):4178-4187.

    [5] [5] WEI K,CHEN Q. States estimation of Li-ion power batteries based on adaptive unscented Kalman filters[J]. Proceedings of the Chinese Society of Electrical Engineering, 2014,34(3):445-452.

    [6] [6] DAI Haifeng,WEI Xuezhe,SUN Zechang. A new SOH prediction concept for the power lithium-ion battery used on HEVs[C]// 2009 IEEE Vehicle Power and Propulsion Conference. Dearborn,MI,USA:IEEE, 2009:1649-1653.

    [8] [8] HUANG J L,WANG Z F,GUO K Y,et al. The analysis of modeling of dual Kalman filter in lithium battery SOC estimates[J]. Applied Mechanics and Materials, 2014:4294-4297.

    [9] [9] LUO Jiayi,PENG Jiankun,HE Hongwen. Lithium-ion battery SOC estimation study based on cubature Kalman filter[J]. Energy Procedia, 2019(158):3421-3426.

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    LIU Xi, LI Lin, LIU Hailong. Cooperative estimation of SOC and SOH for power lithium-ion batteries[J]. Journal of Terahertz Science and Electronic Information Technology , 2020, 18(4): 750

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    Paper Information

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    Received: May. 20, 2019

    Accepted: --

    Published Online: Dec. 25, 2020

    The Author Email: Hailong LIU (liuhailong@xsyu.edu.cn)

    DOI:10.11805/tkyda2019181

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