
M. Sc. Oliver Stark
- Research Associate
- Group:
- Room: 202
- Phone: +49 721 608 - 43179
- Fax: +49 721 608 - 42707
- oliver starkScf6∂kit edu
Karlsruher Institut für Technologie (KIT)
Campus Süd
Institut für Regelungs- und Steuerungssysteme
Geb. 11.20 (Engler-Villa)
Kaiserstr. 12
76131 Karlsruhe
Curriculum Vitae
Qualification as electronics technician for automation technology with Volkswagen AG and IHK Braunschweig.
Studies of electrical engineering at Ostfalia University of Applied Science (Wolfenbüttel) in cooperation with Volkswagen AG. Bachelor’s thesis on the design and implementation of a time-discrete Hinf control for an electromechanical steering system (2014) with Steering Systems and Functional Development Unit of Volkswagen AG.
Then, studies of electrical engineering and information technology at Karlsruhe Institute of Technology, specialization in control technology. Master’s thesis at Institute of Control Systems on interval optimization-based identification methods (2016).
Since November 2016, member of scientific staff of Institute of Control Systems.
Research
Online identification of physically interpretable system parameters of a lithium-ion battery
Energy transition is meeting with a steadily increasing interest of society. One of the central problems is energy storage, reasons being the large use of portable electronic devices, the electrification of private cars, and the better utilization of volatile energy sources.
Therefore, current research focuses on lithium-ion batteries, as these have a high energy density. But these kinds of batteries also have drawbacks, such as a low storage capacity. Moreover, many issues have not yet been solved, such as determination of the lithium-ion battery state. That is why various scientific groups are active in this area. Also at Institute of Control Systems, the lithium-ion battery is subject of research.
My doctoral thesis covers the development of an online identification method for interpreting the physical state of a lithium-ion battery. First, the battery model has to be derived from the mathematical description of chemical processes. Fractional models allow for such physical interpretation and their derivations no longer have to be integer. When deriving the model, it is also important to make simplifications as late as possible for the model parameters to keep their physical reference. The model parameters have to be identified online for physical state estimation. Then, the Institute of Control Systems developed identification method has to be developed for online operation based on modulation functions and to be assessed numerically.
The paramount objective is to optimize control of lithium-ion batteries by the battery management system based on knowledge of the parameter values in operation. This will ensure better utilization of resources.
Title | Type | Person in Charge |
---|---|---|
Systematischer Vergleich optimierungsbasierter Verfahren zur Parameteridentifikation | Master Thesis |
Publications
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Iterative Method for Online Fractional Order and Parameter Identification.
Stark, O.; Karg, P.; Hohmann, S.
2020. 2020 59th IEEE Conference on Decision and Control (CDC), Jeju, Korea (South), 14-18 Dec. 2020, 5159–5166, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/CDC42340.2020.9304346 -
Bias-free Parameter Identification for Non-Commensurable Fractional Systems.
Stark, O.; Pfeifer, M.; Krebs, S.; Hohmann, S.
2020. 18th European Control Conference, ECC 2020, Saint Petersburg, Russian Federation, 12 - 15 May 2020, 1422–1429, EUCA -
Computation of Orders of a Commensurable Fractional Order Model.
Stark, O.; Kupper, M.; Krebs, S.; Hohmann, S.
2020. 58th IEEE Conference on Decision and Control (CDC), Nice, F, December 11-13, 2019, 784–790, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/CDC40024.2019.9029742
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Current and State of Charge Estimation of Lithium-Ion Battery Packs Using Distributed Fractional Extended Kalman Filters.
Kupper, M.; Creutz, A.; Stark, O.; Krebs, S.; Hohmann, S.
2019. IEEE CCTA 2019, 462–469, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/CCTA.2019.8920558 -
Bias-free Parameter Identification of a Fractional Order Model.
Stark, O.; Malan, A. J.; Krebs, S.; Hohmann, S.
2019. doi:10.5445/IR/1000117548 -
An Extension of the Modulating Function Method for Online Parameter Identification of Initialized Fractional Order Models.
Stark, O.; Kupper, M.; Krebs, S.; Hohmann, S.
2019. 2019 International Conference on Fractional Calculus Theory and Applications (ICFCTA 2019), Bourges, F, April 25-26, 2019 -
Automatic Determining of a Modulating Function.
Stark, O.; Eckert, M.; Krebs, S.; Hohmann, S.
2019. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000092062 -
Solution of Time-Variant Fractional Differential Equations With a Generalized Peano–Baker Series.
Eckert, M.; Nagatou, K.; Rey, F.; Stark, O.; Hohmann, S.
2019. IEEE Control Systems Letters, 3 (1), 79–84. doi:10.1109/LCSYS.2018.2852600 -
Controllability and Energy-Optimal Control of Time-Variant Fractional Systems.
Eckert, M.; Nagatou, K.; Rey, F.; Stark, O.; Hohmann, S.
2019. 57th IEEE Conference on Decision and Control (CDC 2018), Miami, FL, December 17-19, 2018, 4607–4612, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/CDC.2018.8619785 -
Online Parameter Identification of a Fractional Order Model.
Stark, O.; Kupper, M.; Krebs, S.; Hohmann, S.
2019. 57th IEEE Conference on Decision and Control (CDC 2018), Miami, FL, December 17-19, 2018, 2303–2309, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/CDC.2018.8619723
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Cascaded Fractional Kalman Filtering for State and Current Estimation of Large-Scale Lithium-Ion Battery Packs.
Kupper, M.; Brenneisen, J.; Stark, O.; Krebs, S.; Hohmann, S.
2018. 2018 Chinese Control And Decision Conference (CCDC), 5071–5078, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/CCDC.2018.8408010
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Verified Diagnosis of Safety Critical Dynamic Systems Based on Kaucher Interval Arithmetic.
Schwab, S.; Stark, O.; Hohmann, S.
2017. 20th IFAC World Congress, Toulouse, F, July 9-14, 2017, 13414–13421. doi:10.1016/j.ifacol.2017.08.1939 -
Examples on Verified Diagnosis of Safety Critical Dynamic Systems Based on Kaucher Interval Arithmetik.
Schwab, S.; Stark, O.; Hohmann, S.
2017, June 14. 10th Summer Workshop on Interval Methods, and 3rd International Symposium on Set Membership Applications, Reliability and Theory. (SWIM - SMART 2017), Manchester, UK, June 14 - 16, 2017