Bayesian optimization algorithm‐based Gaussian process regression for in situ state of health prediction of minorly deformed lithium‐ion battery

Accurate on‐board state‐of‐health (SOH) prediction is crucial for lithium‐ion battery applications. This study presents an in situ prediction technique for minorly deformed battery SOH, utilizing a Gaussian process regression (GPR) model tuned by a Bayesian optimization algorithm. Unlike previous me...

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Bibliographic Details

Published in:	Energy science & engineering Vol. 12; no. 4; pp. 1472 - 1485
Main Authors:	Liu, Qi, Bao, Xubin, Guo, Dandan, Li, Ling
Format:	Journal Article
Language:	English
Published:	Wiley 01.04.2024
Subjects:	Bayesian optimization Gaussian process regression Gray relational analysis minorly deformed battery state of health
ISSN:	2050-0505, 2050-0505
Online Access:	Get full text
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