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001     1016980
005     20240709081918.0
037 _ _ |a FZJ-2023-03887
041 _ _ |a English
100 1 _ |a Ali, Haider Adel
|0 P:(DE-Juel1)190784
|b 0
|e Corresponding author
111 2 _ |a Advanced battery power conference
|c Aachen
|d 2023-04-27 - 2023-04-28
|w Germany
245 _ _ |a A comparison between physics-based Li-ion battery models
260 _ _ |c 2023
336 7 _ |a Conference Paper
|0 33
|2 EndNote
336 7 _ |a INPROCEEDINGS
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520 _ _ |a Physics-based electrochemical battery models are widely used as powerful tools for simulating lithium-ion battery behavior and for providing an understanding of the internal physical and electrochemical processes. However, due to their complexity and high computational demand, these models may not be feasible for battery management systems (BMS) and long-term aging simulations. Models with reduced order, such as the Extended Single Particle Model (ESPM), Single Particle Model (SPM), and Polynomial and Padé approximations, calculating Fick's 2nd law, improve calculation speed. However, choosing the appropriate simplification approach for a particular cell type and operating condition can be challenging. This study provides insights into the simulation accuracy and calculation speed of various reduced-order models for high-energy (HE) and high-power (HP) batteries at various C-rates. Results are compared to the DFN model.
536 _ _ |a 1223 - Batteries in Application (POF4-122)
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536 _ _ |a LLEC::VxG - Integration von "Vehicle-to-grid" (BMBF-03SF0628)
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700 1 _ |a Raijmakers, Luc
|0 P:(DE-Juel1)176196
|b 1
700 1 _ |a Danilov, Dmitri
|0 P:(DE-Juel1)173719
|b 2
700 1 _ |a Notten, Peter H. L.
|0 P:(DE-Juel1)165918
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700 1 _ |a Eichel, Rüdiger-A.
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|b 4
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910 1 _ |a RWTH Aachen
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910 1 _ |a Eindhoven University of Technology
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910 1 _ |a Forschungszentrum Jülich
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910 1 _ |a Eindhoven University of Technology
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910 1 _ |a RWTH Aachen
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913 1 _ |a DE-HGF
|b Forschungsbereich Energie
|l Materialien und Technologien für die Energiewende (MTET)
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914 1 _ |y 2023
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