Data-Driven Prognosis of the Failure of Lithium-Ion Batteries

2021 ◽  
Vol MA2021-02 (5) ◽  
pp. 1864-1864
Author(s):  
Lin Liu ◽  
Hamed Sadegh Kouhestani ◽  
Abhijit Chandra
Keyword(s):  
Lithium Ion Batteries ◽  
Lithium Ion ◽  
Data Driven

State-of-life prognosis and diagnosis of lithium-ion batteries by data-driven particle filters

2019 ◽  
Vol 235 ◽  
pp. 661-672 ◽  
Author(s):  
F. Cadini ◽  
C. Sbarufatti ◽  
F. Cancelliere ◽  
M. Giglio
Keyword(s):  
Lithium Ion Batteries ◽  
Particle Filters ◽  
Lithium Ion ◽  
Data Driven ◽  
Life Prognosis

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.

scholarly journals Data-driven health estimation and lifetime prediction of lithium-ion batteries: A review

2019 ◽  
Vol 113 ◽  
pp. 109254 ◽  
Author(s):  
Yi Li ◽  
Kailong Liu ◽  
Aoife M. Foley ◽  
Alana Zülke ◽  
Maitane Berecibar ◽  
...  
Keyword(s):  
Lithium Ion Batteries ◽  
Lithium Ion ◽  
Data Driven ◽  
Lifetime Prediction
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