A Data-Driven Digital Twin of Electric Vehicle Li-Ion Battery State-of-Charge Estimation Enabled by Driving Behavior Application Programming Interfaces

Accurately estimating the state-of-charge (SOC) of lithium-ion batteries (LIBs) in electric vehicles is a challenging task due to the complex dynamics of the battery and the varying operating conditions. To address this, this paper proposes the establishment of an Industrial Internet-of-Things (IIoT...

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Vydané v:	Batteries (Basel) Ročník 9; číslo 10; s. 521
Hlavní autori:	Issa, Reda, Badr, Mohamed M., Shalash, Omar, Othman, Ali A., Hamdan, Eman, Hamad, Mostafa S., Abdel-Khalik, Ayman S., Ahmed, Shehab, Imam, Sherif M.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 01.10.2023
Predmet:	Algorithms Application programming interface Artificial intelligence Automobiles, Electric Cloud computing Data analysis Data collection Data entry Decision making digital twin Digital twins Digitization electric vehicle Electric vehicles Energy management Estimation Global positioning systems GPS Industrial applications Industrial Internet of Things Internet of Things Lithium cells Lithium-ion batteries lithium-ion battery Machine learning Methods Operating temperature Predictive maintenance Rechargeable batteries Reliability (Engineering) State of charge Time synchronization Egypt
ISSN:	2313-0105, 2313-0105
On-line prístup:	Získať plný text
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