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20212026
most citedEstimation of Li-ion degradation test sample sizes required to understand cell-to-cell variability

46 citations · 48 across the 5 of their papers we have counts for

collaborators

5 papers

cond-mat.mtrl-sci2026

Data-efficient crack quantification in lithium-ion cathodes using foundation model transfer

Thorsten Tegetmeyer-Kleine, Thomas Schmitt, Phillip Aquino +3

Battery lifetime is central to sustainable electrification, yet the particle cracking that drives lithium-ion cathode aging is hard to measure: quantitative microscopy of this degr…

cs.LG2025

Fast and Generalizable parameter-embedded Neural Operators for Lithium-Ion Battery Simulation

Amir Ali Panahi, Daniel Luder, Billy Wu +3

Reliable digital twins of lithium-ion batteries must achieve high physical fidelity with sub-millisecond speed. In this work, we benchmark three operator-learning surrogates for th…

eess.SY2024★ 2 cited

Degradation mode estimation using reconstructed open circuit voltage curves from multi-year home storage field data

Jan Figgener, Jakob Bors, Matthias Kuipers +8

A battery's open circuit voltage (OCV) curve can be seen as its electrochemical signature. Its shape and age-related shift provide information on aging processes and material compo…

eess.SY2022

Analysis of Electric Vehicle Charging Station Usage and Profitability in Germany based on Empirical Data

Christopher Hecht, Jan Figgener, Dirk Uwe Sauer

Electric vehicles are booming and with them the required public charging stations. Knowing how charging stations are used is crucial for operators of the charging stations themselv…

stat.AP2021★ 46 cited

Estimation of Li-ion degradation test sample sizes required to understand cell-to-cell variability

Philipp Dechent, Samuel Greenbank, Felix Hildenbrand +3

Ageing of lithium-ion batteries results in irreversible reduction in performance. Intrinsic variability between cells, caused by manufacturing differences, occurs throughout life a…