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).
Authors
- Williams Agyei Appiah (ORCID: https://orcid.org/0000-0001-7187-3501)
- Rikesh Kumar (ORCID: https://orcid.org/0000-0002-8072-701X)
- Mukul Parmananda
- Svenas Burba
- Johannes Bakkelund
- Ankit Singh
Institutions
- University of Agder (NO)
- Battersea Arts Centre (GB)
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
- 0.00