A review on data-driven SOC estimation with Li-Ion batteries: Implementation methods & future aspirations-Reference-Cited by-同舟云学术

A review on data-driven SOC estimation with Li-Ion batteries: Implementation methods & future aspirations

Published:2023-11 Issue: Volume:72 Page:108420
ISSN:2352-152X
Container-title:Journal of Energy Storage
language:en
Short-container-title:Journal of Energy Storage

Author:

D.V.S.R. Sesidhar^ORCID,Badachi Chandrashekhar,Green II Robert C.

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment

Reference109 articles.

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1. A novel enhanced SOC estimation method for lithium-ion battery cells using cluster-based LSTM models and centroid proximity selection;Journal of Energy Storage;2024-09

2. Accurate state-of-charge estimation for sodium-ion batteries based on a low-complexity model with hierarchical learning;Journal of Energy Storage;2024-08

3. Advances in battery state estimation of battery management system in electric vehicles;Journal of Power Sources;2024-08

4. A modeling and state of charge estimation approach to lithium-ion batteries based on the state-dependent autoregressive model with exogenous inputs;Energy;2024-08

5. A Deep Learning Model Based on the Introduction of Attention Mechanism is Used to Predict Lithium-Ion Battery SOC;Journal of The Electrochemical Society;2024-07-01