Fault detection of new and aged lithium-ion battery cells in electric vehicles

Sepasiahooyi, Sara; Abdollahi, Farzaneh

doi:10.1016/j.geits.2024.100165

Green Energy and Intelligent Transportation

2024

DOI: 10.1016/j.geits.2024.100165

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Fault detection of new and aged lithium-ion battery cells in electric vehicles

Sara Sepasiahooyi,

Farzaneh Abdollahi

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2024

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Cited by 2 publications

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Optimized XGBoost modeling for accurate battery capacity degradation prediction

Jafari,

Yang,

Byun

2024

Results in Engineering

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Optimized XGBoost modeling for accurate battery capacity degradation prediction

Jafari,

Yang,

Byun

2024

Results in Engineering

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Process monitoring in hybrid electric vehicles based on dynamic nonlinear method

Wang,

Deprizon,

Kit

et al. 2024

J Appl Eng Science

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Highway third-level faults can significantly deteriorate the reliability and performance of hybrid electric vehicle (HEV) powertrains. This study presents a novel process monitoring method aimed at addressing this issue. We propose a multivariate statistical method based on dynamic nonlinear improvement, namely dynamic neural component analysis (DNCA). This method does not require the establishment of precise analytical models; instead, it only necessitates acquiring data from HEV powertrains. Through numerical simulation and real HEV experiments, we demonstrate the effectiveness of this approach in monitoring highway third-level faults. The testing outcomes demonstrate that DNCA outperforms traditional dynamic methods like dynamic principal component analysis (DPCA), conventional nonlinear methods such as kernel PCA (KPCA) and NCA, as well as traditional dynamic nonlinear methods like DKPCA.

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Fault detection of new and aged lithium-ion battery cells in electric vehicles

Cited by 2 publications

References 41 publications

Optimized XGBoost modeling for accurate battery capacity degradation prediction

Optimized XGBoost modeling for accurate battery capacity degradation prediction

Process monitoring in hybrid electric vehicles based on dynamic nonlinear method

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