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

LIU Xi; LI Lin; LIU Hailong

doi:10.11805/tkyda2019181

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