An integrated online adaptive state of charge estimation approach of high-power lithium-ion battery packs

Abstract

An integrated online adaptive state of charge estimation approach of high-power lithium-ion battery packs.

A Novel Adaptive State of Charge Iterative Calculation Method by Using the Improved Unscented Kalman Filtering Algorithm for the Lithium Ion Battery Packs

“…The square root UKF solves this problem with the same estimation accuracy as UKF, and guarantees the semi-positive and the numerical stability of the covariance matrix. Wang et al put forward an improved strong tracking square root UKF algorithm when studying the satellite attitude determination system (S. L. Wang, Fernandez, Shang, Li, & Yuan, 2018), which makes the system have better stability, robustness and tracking abrupt state.…”

A novel endurance prediction method of series connected lithium-ion batteries based on the voltage change rate and iterative calculation

“…An adaptive SOC prediction method was proposed by us for an aeronautical lithium-ion battery pack based on a novel Reduced-Particle-Unscented-Kalman-Filter (RP-UKF) (S. L. Wang, C. M. Yu, et al, 2018). In addition, an integrated online adaptive SOC prediction approach was proposed by us for high-power lithium-ion battery packs (S. L. Wang, Fernandez, Shang, Li, & Yuan, 2018). The improved SOC dependent polynomial ECM was constructed for electrochemical impedance spectroscopy of lithium-ion batteries (Q. K. together with the influence analysis of battery parametric uncertainties (Shoe et al, 2018).…”

Open circuit voltage and state of charge relationship functional optimization for the working state monitoring of the aerial lithium-ion battery pack

“…The SOC and SOH (State Of Health) estimation was realized for lithium batteries using recurrent neural networks (Chaoui & Ibe-Ekeocha, 2017). An integrated online adaptive SOC estimation approach was proposed for high power lithium-ion battery packs (S. L. Wang, Fernandez, Shang, Li, & Yuan, 2018).…”