Front Cover: Data‐Driven Entropy Coefficient Estimation for Large Format Lithium‐Ion Batteries (Batteries & Supercaps 1/2026)

The Front Cover illustrates entropy coefficient estimation from the charge/discharge data of large-format (100 Ah) lithium-ion prismatic cell at various current densities and temperatures using empirical and data-driven methods. The method accelerates the estimation of entropy coefficients of batteries, resulting in the improvement of the predictability of physics-based electrochemical models at high current densities where reversible heat generation due to entropy is significant. More information can be found in the Research Article by W. A. Appiah and co-workers (DOI: 10.1002/batt.202500533).

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Publication Details

Journal
Batteries & Supercaps
Published
2026-01-01
DOI
https://doi.org/10.1002/batt.70224
Primary Topic
Advanced Battery Technologies Research
Type
article
Field-Weighted Citation Impact
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article

Front Cover: Data‐Driven Entropy Coefficient Estimation for Large Format Lithium‐Ion Batteries (Batteries & Supercaps 1/2026)

Williams Agyei Appiah, Rikesh Kumar, Mukul Parmananda, Svenas Burba et al.
Batteries & Supercaps
Advanced Battery Technologies Research
article

Front Cover: Data‐Driven Entropy Coefficient Estimation for Large Format Lithium‐Ion Batteries (Batteries & Supercaps 1/2026)

Williams Agyei Appiah, Rikesh Kumar, Mukul Parmananda, Svenas Burba, Johannes Bakkelund, Ankit Singh
article en

Abstract

The Front Cover illustrates entropy coefficient estimation from the charge/discharge data of large-format (100 Ah) lithium-ion prismatic cell at various current densities and temperatures using empirical and data-driven methods. The method accelerates the estimation of entropy coefficients of batteries, resulting in the improvement of the predictability of physics-based electrochemical models at high current densities where reversible heat generation due to entropy is significant. More information can be found in the Research Article by W. A. Appiah and co-workers (DOI: 10.1002/batt.202500533).

Batteries & SupercapsVol. 9(1)
University of Agder (NO), Battersea Arts Centre (GB)
Affordable and clean energy
Openalex Percentile: Top 93%
Advanced Battery Technologies Research
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