Institutionen der Universität Bayreuth
Lehrstuhl Systemtechnik elektrischer Energiespeicher - Univ.-Prof. Dr.-Ing. Jan Philipp Schmidt

Artikel in einer Zeitschrift

Hofmann, Tobias ; Hamar, Jacob ; Mager, Bastian ; Erhard, Simon ; Schmidt, Jan Philipp:
Physics-constrained transfer learning : Open-circuit voltage curve reconstruction and degradation mode estimation of lithium-ion batteries.
In: Energy and AI. Bd. 20 (2025) . - 100493.
ISSN 2666-5468
DOI der Verlagsversion: https://doi.org/10.1016/j.egyai.2025.100493

Hadzalic, Nejira ; Hamar, Jacob ; Fischer, Marco ; Erhard, Simon ; Schmidt, Jan Philipp:
Semi-supervised battery state of health estimation for field applications.
In: Energy and AI. Bd. 22 (2025) . - 100575.
ISSN 2666-5468
DOI der Verlagsversion: https://doi.org/10.1016/j.egyai.2025.100575

Hofmann, Tobias ; Li, Jiahao ; Hamar, Jacob ; Erhard, Simon ; Schmidt, Jan Philipp:
The ΔQ-method : State of health and degradation mode estimation for lithium-ion batteries using a mechanistic model with relaxed voltage points.
In: Journal of Power Sources. Bd. 596 (2024) . - 234107.
ISSN 0378-7753
DOI der Verlagsversion: https://doi.org/10.1016/j.jpowsour.2024.234107

Hofmann, Tobias ; Hamar, Jacob ; Mager, Bastian ; Erhard, Simon ; Schmidt, Jan Philipp:
Transfer learning from synthetic data for open-circuit voltage curve reconstruction and state of health estimation of lithium-ion batteries from partial charging segments.
In: Energy and AI. Bd. 17 (2024) . - S. 100382.
ISSN 2666-5468
DOI der Verlagsversion: https://doi.org/10.1016/j.egyai.2024.100382

Dissertation

Hofmann, Tobias:
State of Health Estimation for Lithium-Ion Batteries with Combined Methods.
Bayreuth , 2026 . - VII, 207 S.
( Dissertation, 2026 , Universität Bayreuth, Fakultät für Ingenieurwissenschaften)