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2024 | OriginalPaper | Buchkapitel

Unveiling the Root Cause of EV Charging Irregularities: A Statistical Approach

verfasst von : Ankit Bajaj, Dinesh Gopalani, Rachit Mathur, Hemanjaneya Reddy, Swapna Satyanarayan, Ansuman Chand

Erschienen in: Artificial Intelligence for Sustainable Energy

Verlag: Springer Nature Singapore

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Abstract

The drive for mobility has caused an increase in greenhouse gas emissions, leading to a shift toward the adoption of electric vehicles (EVs). These vehicles are powered by efficient electric motors, which offer reduced upkeep and enhanced operation. However, the unstable nature of electricity demand and the proliferation of EV charging equipment providers have posed significant challenges in EV charging. Furthermore, charging interruptions are commonplace, with electrical vehicle supply equipment (EVSE) serving as a mysterious black box for EV owners. By analyzing EVSE and EV data during charging, sensitive signals of charging termination can be discovered. The present research paper aims to investigate endurance data to uncover the root cause of EV charging interruption and to address uncertainties in EV charging.

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Titel: Unveiling the Root Cause of EV Charging Irregularities: A Statistical Approach
verfasst von: Ankit Bajaj
Dinesh Gopalani
Rachit Mathur
Hemanjaneya Reddy
Swapna Satyanarayan
Ansuman Chand
Verlag: Springer Nature Singapore
Buch: Artificial Intelligence for Sustainable Energy
Print ISBN: 978-981-9998-32-6

Electronic ISBN: 978-981-9998-33-3

Copyright-Jahr: 2024
DOI: https://doi.org/10.1007/978-981-99-9833-3_7