Institutionen der Universität Bayreuth
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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)
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
Mößle, Patrick ; Tietze, Tobias ; Danzer, Michael A.:
Kalman Filter Tuning for State Estimation of Lithium-Ion Batteries by Multi-Objective Optimization via Hyperspace Exploration.
In: Energy Technology.
Bd. 11
(2023)
Heft 12
.
- 2300796.
ISSN 2194-4296
DOI der Verlagsversion: https://doi.org/10.1002/ente.202300796
Schmidt, Jan Philipp ; Adam, Alexander ; Wandt, Johannes:
Time-Resolved and Robust Lithium Plating Detection for Automotive Lithium-Ion Cells with the Potential for Vehicle Application.
In: Batteries.
Bd. 9
(2023)
Heft 2
.
- 97.
ISSN 2313-0105
DOI der Verlagsversion: https://doi.org/10.3390/batteries9020097