Deep Learning-Based State-of-Health Estimation Approach for Mobility Batteries

Authors

Heung Soo Kim (ORCID: https://orcid.org/0000-0001-7057-5174)
K. Park (ORCID: https://orcid.org/0009-0008-0866-2646)

Publication Details

Journal: Journal of the Computational Structural Engineering Institute of Korea
Published: 2025-10-31
DOI: https://doi.org/10.7734/coseik.2025.38.5.309
Primary Topic: Advanced Battery Technologies Research
Type: article
Field-Weighted Citation Impact: 0.00

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article

Deep Learning-Based State-of-Health Estimation Approach for Mobility Batteries

Heung Soo Kim, K. Park

Oct 31, 2025

Journal of the Computational Structural Engineering Institute of Korea

Advanced Battery Technologies Research

article

Deep Learning-Based State-of-Health Estimation Approach for Mobility Batteries

Heung Soo Kim, K. Park

October 31, 2025article en

Abstract

No abstract available for this paper.

Journal of the Computational Structural Engineering Institute of KoreaVol. 38(5)

Openalex Percentile: Top 64%

Advanced Battery Technologies Research

DOI Open Access PDF OpenAlex

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Deep Learning-Based State-of-Health Estimation Approach for Mobility Batteries — Heung Soo Kim, K. Park · Journal of the Computational Structural Engineering Institute of Korea (2025) | TGRS Research Map | TGRS