Diagnosing failures in lithium-ion batteries with Machine Learning techniques

Article Engineering, Electrical & Electronic

Data-Driven Fault Diagnosis of Lithium-Ion Battery Overdischarge in Electric Vehicles

Naifeng Gan et al.

Summary: This article proposes a two-layer overdischarge fault diagnosis strategy based on machine learning for detecting and preventing overdischarge in lithium-ion batteries for electric vehicles. The method involves comparing battery voltage with cutoff voltage and utilizing a detection approach based on the eXtreme Gradient Boosting algorithm.

IEEE TRANSACTIONS ON POWER ELECTRONICS (2022)

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Article Geochemistry & Geophysics

Combining the outputs of various k-nearest neighbor anomaly detectors to form a robust ensemble model for high-dimensional geochemical anomaly detection

Yongliang Chen et al.

Summary: This study combines outputs of various KNN models using different algorithms to enhance the robustness of high-dimensional geochemical anomaly detection.

JOURNAL OF GEOCHEMICAL EXPLORATION (2021)

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Review Chemistry, Applied

A review of lithium-ion battery safety concerns: The issues, strategies, and testing standards

Yuqing Chen et al.

Summary: Efficient and reliable energy storage systems are essential for modern society, with lithium-ion batteries (LIBs) being widely used but facing safety challenges. This review examines LIB safety issues, strategies for improvement, and current testing standards, providing insights into potential future developments for safer LIBs.

JOURNAL OF ENERGY CHEMISTRY (2021)

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Article Engineering, Multidisciplinary

Multiclass Confusion Matrix Reduction Method and Its Application on Net Promoter Score Classification Problem

Ioannis Markoulidakis et al.

Summary: This paper introduces a novel method for reducing a multiclass confusion matrix into a 2x2 version, enabling the evaluation of performance of different classification algorithms. The reduction method is based on class grouping, resulting in a special type of reduced confusion matrix.

TECHNOLOGIES (2021)

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Article Multidisciplinary Sciences