Concurrent multi-fault diagnosis of lithium-ion battery packs using random convolution kernel transformation and Gaussian process classifier
The timely detection and accurate differentiation of concurrent diverse faults within lithium-ion battery packs are essential for triggering targeted countermeasures by the battery management system, thereby ensuring the safe and stable operation of the battery system. Existing methods for multi-fau...
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Published in | Energy (Oxford) Vol. 306; p. 132467 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier Ltd
15.10.2024
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Subjects | |
Online Access | Get full text |
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