2024
DOI: 10.1186/s42162-024-00356-w
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Comprehensive testing technology for new energy vehicle power batteries based on improved particle swarm optimization

Hongxing Liu,
Yi Liang

Abstract: As the new energy industry continues to progress, the health management of power batteries has become the key to ensuring the performance and safety of automobiles. Therefore, accurately predicting battery capacity decline is particularly important. A battery capacity degradation prediction model combining unscented particle filtering, particle swarm optimization, and SVR is constructed. It optimizes regression parameters through the introduced optimization strategy. Unscented particle filtering is used to imp… Show more

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