Follow
Florian Ringbeck
Florian Ringbeck
Verified email at isea.rwth-aachen.de - Homepage
Title
Cited by
Cited by
Year
Battery management system hardware concepts: an overview
M Lelie, T Braun, M Knips, H Nordmann, F Ringbeck, H Zappen, ...
Applied Sciences 8 (4), 534, 2018
1152018
Battery management system hardware concepts: An overview
T Braun, H Nordmann, H Zappen, DU Sauer, M Knips, F Ringbeck, ...
Applied Sciences, 2018
1152018
Parameter sensitivity analysis of electrochemical model-based battery management systems for lithium-ion batteries
W Li, D Cao, D Jöst, F Ringbeck, M Kuipers, F Frie, DU Sauer
Applied Energy 269, 115104, 2020
732020
Electrochemical model-based state estimation for lithium-ion batteries with adaptive unscented Kalman filter
W Li, Y Fan, F Ringbeck, D Jöst, X Han, M Ouyang, DU Sauer
Journal of Power Sources 476, 228534, 2020
722020
Application of time-resolved multi-sine impedance spectroscopy for lithium-ion battery characterization
H Zappen, F Ringbeck, DU Sauer
Batteries 4 (4), 64, 2018
332018
Post-mortem analysis of inhomogeneous induced pressure on commercial lithium-ion pouch cells and their effects
G Fuchs, L Willenberg, F Ringbeck, DU Sauer
Sustainability 11 (23), 6738, 2019
212019
Uncertainty-aware state estimation for electrochemical model-based fast charging control of lithium-ion batteries
F Ringbeck, M Garbade, DU Sauer
Journal of Power Sources 470, 228221, 2020
202020
Identification of Lithium Plating in Lithium-Ion Batteries by Electrical and Optical Methods
F Ringbeck, C Rahe, G Fuchs, DU Sauer
Journal of The Electrochemical Society 167 (9), 090536, 2020
162020
Physics-informed neural networks for electrode-level state estimation in lithium-ion batteries
W Li, J Zhang, F Ringbeck, D Jöst, L Zhang, Z Wei, DU Sauer
Journal of Power Sources 506, 230034, 2021
152021
Data-driven systematic parameter identification of an electrochemical model for lithium-ion batteries with artificial intelligence
W Li, I Demir, D Cao, D Jöst, F Ringbeck, M Junker, DU Sauer
Energy Storage Materials 44, 557-570, 2022
122022
Unlocking electrochemical model-based online power prediction for lithium-ion batteries via Gaussian process regression
W Li, Y Fan, F Ringbeck, D Jöst, DU Sauer
Applied Energy 306, 118114, 2022
52022
Speicherung der elektrischen Energie
DU Sauer, J Kowal, L Willenberg, C Rahe, M Teuber, J Drillkens, ...
Elektrifizierung des Antriebsstrangs, 61-98, 2019
42019
Spatially resolving lithium-ion battery aging by open-hardware scanning acoustic imaging
D Wasylowski, N Kisseler, H Ditler, M Sonnet, G Fuchs, F Ringbeck, ...
Journal of Power Sources 521, 230825, 2022
2022
Optimized charging of lithium-ion batteries with physico-chemical models
F Ringbeck, U Krewer, DU Sauer
Institut für Stromrichtertechnik und Elektrische Antriebe, 2021
2021
Timeseries data of a drive cycle aging test of 28 high energy NCA/C+ Si round cells of type 18650
D Jöst, A Blömeke, DU Sauer, F Ringbeck
Institut für Stromrichtertechnik und Elektrische Antriebe, 2021
2021
Battery Management System Hardware Concepts: An Overview
DUS Sauer, HZ Zappen, MK Knips, HN Nordmann, ML Lelie, TB Braun, ...
2018
Electrochemical models for fast charging algorithms in battery management systems
F Ringbeck, M Garbade, DU Sauer
OXFORD BATTERY MODELLING SYMPOSIUM, 35, 0
The system can't perform the operation now. Try again later.
Articles 1–17