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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Veröffentlicht in:	International journal of computers, communications & control Jg. 20; H. 3
Hauptverfasser:	Li, Wei, Cheng, Chen, Wang, Qian, Ma, Chang-song
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Oradea Agora University of Oradea 01.06.2025
Schlagworte:	Algorithms Data correlation Discharge Electric potential Gaussian process Lithium batteries Power management Root-mean-square errors Voltage
ISSN:	1841-9836, 1841-9844
Online-Zugang:	Volltext
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