A Novel Adaptive Back Propagation Neural Network-Unscented Kalman Filtering Algorithm for Accurate Lithium-Ion Battery State of Charge Estimation

A Novel Adaptive Back Propagation Neural Network-Unscented Kalman Filtering Algorithm for Accurate Lithium-Ion Battery State of Charge Estimation

Accurate State of Charge (SOC) estimation for lithium-ion batteries has great significance with respect to the correct decision-making and safety control. In this research, an improved second-order-polarization equivalent circuit (SO-PEC) modelling method is proposed. In the process of estimating th...

Full description

Bibliographic Details
Main Authors: Yangtao Wang, Shunli Wang, Yongcun Fan, Yanxin Xie, Carlos Fernandez
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Metals
Subjects:
lithium-ion battery
equivalent model
state of charge
iterative calculation
ABP-UKF algorithm
Online Access:https://www.mdpi.com/2075-4701/12/8/1369

Internet

https://www.mdpi.com/2075-4701/12/8/1369

Similar Items