Anomaly Detection Method for Lithium-Ion Battery Cells Based on Time Series Decomposition and Improved Manhattan Distance Algorithm

Research article (ACS Omega, 2023) · cited 17× · AI/ML
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Anomaly Detection Method for Lithium-Ion Battery Cells Based on Time Series Decomposition and Improved Manhattan Distance Algorithm

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Anomaly Detection Method for Lithium-Ion Battery Cells Based on Time Series Decomposition and Improved Manhattan Distance Algorithm is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Anomaly Detection Method for Lithium-Ion Battery Cells Based on Time Series Decomposition and Improved Manhattan Distance Algorithm. Retrieved May 24, 2026, from https://4ort.xyz/entity/anomaly-detection-method-for-lithium-ion-battery-cells-based-on-time-series-decomposition-and-improved-manhattan-distanc
MLA “Anomaly Detection Method for Lithium-Ion Battery Cells Based on Time Series Decomposition and Improved Manhattan Distance Algorithm.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/anomaly-detection-method-for-lithium-ion-battery-cells-based-on-time-series-decomposition-and-improved-manhattan-distanc.
BibTeX @misc{4ortxyz_anomaly-detection-method-for-lithium-ion-battery-cells-based-on-time-series-decomposition-and-improved-manhattan-distanc_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Anomaly Detection Method for Lithium-Ion Battery Cells Based on Time Series Decomposition and Improved Manhattan Distance Algorithm}}, year = {2026}, url = {https://4ort.xyz/entity/anomaly-detection-method-for-lithium-ion-battery-cells-based-on-time-series-decomposition-and-improved-manhattan-distanc}, note = {Accessed: 2026-05-24}}
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