Collaborative state estimation of lithium-ion battery based on multi-time scale low-pass filter forgetting factor recursive least squares - double extended Kalman filtering algorithm. - Tao Long; Shunli Wang 002; Wen Cao 003; Pu Ren; Mingfang He; Carlos Fernandez (Int. J. Circuit Theory Appl., 2022)

An improved adaptive spherical unscented Kalman filtering method for the accurate state-of-charge estimation of lithium-ion batteries. - Chuangshi Qi; Shunli Wang 002; Wen Cao 003; Peng Yu; Yanxin Xie (Int. J. Circuit Theory Appl., 2022)

An improved long short-term memory based on global optimization square root extended Kalman smoothing algorithm for collaborative state of charge and state of energy estimation of lithium-ion batteries. - Fan Wu; Shunli Wang 002; Wen Cao 003; Tao Long; Yawen Liang; Carlos Fernandez (Int. J. Circuit Theory Appl., 2023)

Improved fractional-order hysteresis-equivalent circuit modeling for the online adaptive high-precision state of charge prediction of urban-electric-bus lithium-ion batteries. - Jiawei Zeng; Shunli Wang 002; Wen Cao 003; Mengyun Zhang; Carlos Fernandez; Josep M. Guerrero (Int. J. Circuit Theory Appl., 2024)

Battery lumped fractional-order hysteresis thermoelectric coupling model for state of charge estimation adaptive to time-varying core temperature conditions. - Jiawei Zeng; Shunli Wang 002; Paul Takyi-Aninakwa; Mengyun Zhang; Wen Cao 003; Carlos Fernandez; Josep M. Guerrero (Int. J. Circuit Theory Appl., 2025)