[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] ZHANG C,LI K,PEI L,et al. An integrated approach for real-time model-based state-of-charge estimation of lithium-ion batteries[J]. Journal of Power Sources, 2015(283):24-36.
[9] GUO Lin,LI Junqiu,FU Zijian. Lithium-ion battery SOC estimation and hardware-in-the-loop simulation based on EKF[J]. Energy Procedia, 2019(158):2599-2604.
