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Why is it important?
Our method reduces the amount of operation and increases the speed of the system，and can detect the abnormality in the charging process of electric vehicles more objectively, sensitively and accurately. In terms of scene applicability, our method can be applied to various charging anomaly scenarios of electric vehicles.
Perspectives
It is foreseeable that the scale of the electric vehicle industry is becoming increasingly large, and we hope our detection method can be applied to the massive data in future, which can improve the safety of the electric vehicle use process, and promote the development of the electric vehicle industry.
Yue Yang
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This page is a summary of: Electric Vehicle Charging Anomaly Detection Method Based on Multivariate Gaussian Distribution Model, April 2022, ACM (Association for Computing Machinery),
DOI: 10.1145/3529299.3531488.
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