Construction and Estimation of Battery State of Health Using a De-LSTM Model Based on Real Driving Data

Construction and Estimation of Battery State of Health Using a De-LSTM Model Based on Real Driving Data

Electric vehicles (EVs) have considerable potential in promoting energy efficiency and carbon neutrality. State of health (SOH) estimations for battery systems can be effective for avoiding accidents involving EVs. However, existing methods have rarely been developed using real driving data. The com...

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Bibliographic Details
Main Authors: Haitao Min, Yukun Yan, Weiyi Sun, Yuanbin Yu, Rui Jiang, Fanyu Meng
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Energies
Subjects:
electric vehicles
state of health
lithium-ion battery
De-LSTM
entropy weight method
Online Access:https://www.mdpi.com/1996-1073/16/24/8088

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