A Practical Data-Driven Battery State-of-Health Estimation for Electric Vehicles

In this article, to estimate the battery state of health (SOH) under realistic electric vehicle (EV) conditions, a robust and efficient data-driven algorithm is developed and validated through comprehensive battery life testing. More than 50 state-of-the-art EV battery cells have been tested under a...

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Vydáno v:	IEEE transactions on industrial electronics (1982) Ročník 70; číslo 2; s. 1973 - 1982
Hlavní autoři:	Khaleghi Rahimian, Saeed, Tang, Yifan
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 01.02.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Algorithms Batteries Battery management system (BMS) battery state of health (SOH) Charging Cycles data-driven algorithms Datasets Driving conditions Electric potential Electric vehicles Estimation Feature extraction Heuristic algorithms Li-ion batteries Neural networks neural networks (NNs) Protocols Rechargeable batteries State of charge Training Voltage
ISSN:	0278-0046, 1557-9948
On-line přístup:	Získat plný text
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