Battery cell modeling and online estimation of the state of charge of a lithium-ion battery

A novel adaptive state of charge estimation method of full life cycling lithium‐ion batteries based on the multiple parameter optimization

“…An nonlinear fractional-order estimator was built with guaranteed robustness and stability for the SoC indication of the LIBs. 33 The parameter estimation and sensitivity analysis were carried out by using the electrochemical models for the LIBs, 34 which was coupled with the thermal model and used to describe the thermal performance during the cycling charge-discharge process. 30 An equivalent circuit of 10 parameters was designed, and an evaluation study of electrochemical characterization was carried out by Wang et al 31 A mathematical model was also constructed to express the thermal behavior of the LIB pack during overcharging process.…”

“…32 A practical model was also constructed for the energy and voltage response state prediction including temperature and aging effects. 33 The parameter estimation and sensitivity analysis were carried out by using the electrochemical models for the LIBs, 34 which was coupled with the thermal model and used to describe the thermal performance during the cycling charge-discharge process. 35 The degradation state prediction was explored in the whole climate, 36 and the identification was conducted for different ECM parameters along with the global optimization.…”