Prediction of power battery health state based on data-driven Gaussian process regression algorithm

As one of the key functions of the battery management system, the prediction of the state of health (SOH) of the power battery of new energy vehicles is crucial for the management and maintenance of the power battery system and its safe use. In order to improve the prediction accuracy and generaliza...

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Bibliographic Details

Published in:	International journal of computers, communications & control Vol. 20; no. 3
Main Authors:	Li, Wei, Cheng, Chen, Wang, Qian, Ma, Chang-song
Format:	Journal Article
Language:	English
Published:	Oradea Agora University of Oradea 01.06.2025
Subjects:	Algorithms Data correlation Discharge Electric potential Gaussian process Lithium batteries Power management Root-mean-square errors Voltage
ISSN:	1841-9836, 1841-9844
Online Access:	Get full text
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