A novel adaptive dual extended Kalman filtering algorithm for the Li‐ion battery state of charge and state of health co‐estimation

2021 ◽  
Author(s):  
Wenhua Xu ◽  
Shunli Wang ◽  
Cong Jiang ◽  
Carlos Fernandez ◽  
Chunmei Yu ◽  
...  
Keyword(s):  
Kalman Filtering ◽  
State Of Charge ◽  
State Of Health ◽  
Li Ion Battery ◽  
Extended Kalman Filtering ◽  
Filtering Algorithm ◽  
Battery State Of Charge ◽  
Li Ion ◽  
Kalman Filtering Algorithm

Diagnostics and Prognostics of Lithium-Ion Batteries

2015 ◽  
Author(s):  
Zhimin Xi ◽  
Rong Jing ◽  
Cheol Lee
Keyword(s):  
Lithium Ion Batteries ◽  
Lithium Ion ◽  
Remaining Useful Life ◽  
State Of Charge ◽  
Data Driven ◽  
State Of Health ◽  
Li Ion Batteries ◽  
Battery State Of Charge ◽  
Li Ion ◽  
Useful Life

This paper investigates recent research on battery diagnostics and prognostics especially for Lithium-ion (Li-ion) batteries. Battery diagnostics focuses on battery models and diagnosis algorithms for battery state of charge (SOC) and state of health (SOH) estimation. Battery prognostics elaborates data-driven prognosis algorithms for predicting the remaining useful life (RUL) of battery SOC and SOH. Readers will learn not only basics but also very recent research developments on battery diagnostics and prognostics.

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