Battery Lifetime Prediction via Neural Networks with Discharge Capacity and State of Health

Battery Lifetime Prediction via Neural Networks with Discharge Capacity and State of Health

The market share of electric vehicles (EVs) has grown exponentially in recent years to reduce air pollution and greenhouse gas emissions. The principal part of an EV is the energy storage system, which is usually the batteries. Thus, the accurate estimation of the remaining useful life (RUL) of the...

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Bibliographic Details
Main Authors: Jamila Hemdani, Laid Degaa, Moez Soltani, Nassim Rizoug, Achraf Jabeur Telmoudi, Abdelkader Chaari
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Energies
Subjects:
electric vehicles
lithium–iron–phosphate batteries
state of health
discharge capacity
artificial neural networks
backpropagation algorithm
Online Access:https://www.mdpi.com/1996-1073/15/22/8558

Internet

https://www.mdpi.com/1996-1073/15/22/8558

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