Physics-Informed Voltage Data Imputation for Robust Machine-Learning-Based Battery State of Charge Estimation

Showrov Rahman; Kaushallya Adhikari

doi:10.1109/OJIES.2026.3691650

Physics-Informed Voltage Data Imputation for Robust Machine-Learning-Based Battery State of Charge Estimation

Showrov Rahman
, Kaushallya Adhikari

University of Rhode Island

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	867-878
Number of pages	12
Journal	IEEE Open Journal of the Industrial Electronics Society
Volume	7
DOIs	https://doi.org/10.1109/OJIES.2026.3691650
State	Published - 2026
Externally published	Yes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

ASJC Scopus Subject Areas

Control and Systems Engineering
Industrial and Manufacturing Engineering
Electrical and Electronic Engineering

Keywords

Battery
Bayesian approximation
data imputation
estimation
long short-term memory (LSTM)
state of charge (SOC)

Access to Document

10.1109/OJIES.2026.3691650

Cite this

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title = "Physics-Informed Voltage Data Imputation for Robust Machine-Learning-Based Battery State of Charge Estimation",

keywords = "Battery, Bayesian approximation, data imputation, estimation, long short-term memory (LSTM), state of charge (SOC)",

author = "Showrov Rahman and Kaushallya Adhikari",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.",

year = "2026",

doi = "10.1109/OJIES.2026.3691650",

language = "English",

volume = "7",

pages = "867--878",

journal = "IEEE Open Journal of the Industrial Electronics Society",

issn = "2644-1284",

}

TY - JOUR

T1 - Physics-Informed Voltage Data Imputation for Robust Machine-Learning-Based Battery State of Charge Estimation

AU - Rahman, Showrov

AU - Adhikari, Kaushallya

PY - 2026

Y1 - 2026

KW - Battery

KW - Bayesian approximation

KW - data imputation

KW - estimation

KW - long short-term memory (LSTM)

KW - state of charge (SOC)

UR - https://www.scopus.com/pages/publications/105038866624

UR - https://www.scopus.com/pages/publications/105038866624#tab=citedBy

U2 - 10.1109/OJIES.2026.3691650

DO - 10.1109/OJIES.2026.3691650

M3 - Article

AN - SCOPUS:105038866624

SN - 2644-1284

VL - 7

SP - 867

EP - 878

JO - IEEE Open Journal of the Industrial Electronics Society

JF - IEEE Open Journal of the Industrial Electronics Society

ER -

Physics-Informed Voltage Data Imputation for Robust Machine-Learning-Based Battery State of Charge Estimation

UN SDGs

ASJC Scopus Subject Areas

Keywords

Access to Document

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