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 ◽  
...  
2021 ◽  
Vol MA2021-02 (5) ◽  
pp. 1864-1864
Author(s):  
Lin Liu ◽  
Hamed Sadegh Kouhestani ◽  
Abhijit Chandra

2019 ◽  
Vol 235 ◽  
pp. 661-672 ◽  
Author(s):  
F. Cadini ◽  
C. Sbarufatti ◽  
F. Cancelliere ◽  
M. Giglio

Author(s):  
Zhimin Xi ◽  
Rong Jing ◽  
Cheol Lee

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.


2015 ◽  
Vol 279 ◽  
pp. 123-132 ◽  
Author(s):  
Yingzhi Cui ◽  
Chunyu Du ◽  
Geping Yin ◽  
Yunzhi Gao ◽  
Lingling Zhang ◽  
...  

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