Battery State of Charge and State of Health Estimation Using a New Hybrid Deep Neural Network Approach

Battery State of Charge and State of Health Estimation Using a New Hybrid Deep Neural Network Approach

The increasing adoption of Battery Electric Vehicles (BEVs) is driving advancements in battery management systems (BMS) to address challenges like cost and range anxiety, both tied to battery performance. This paper investigates various state of charge (SOC) and state of health (SOH) estimation meth...

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Bibliographic Details
Main Authors: Saeid Jorkesh, Ryan Ahmed, Saeid Habibi, Reza Hosseininejad, Siyuan Xu
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Battery management systems (BMS)
battery electric vehicles
gate recurrent unit
hybrid model
long short-term memory
state of charge
Online Access:https://ieeexplore.ieee.org/document/10738796/
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https://ieeexplore.ieee.org/document/10738796/

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