This title appears in the Scientific Report :
2023
A comparison between physics-based Li-ion battery models
A comparison between physics-based Li-ion battery models
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 b...
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Personal Name(s): | Ali, Haider Adel (Corresponding author) |
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Raijmakers, Luc / Danilov, Dmitri / Notten, Peter H. L. / Eichel, Rüdiger-A. | |
Contributing Institute: |
Grundlagen der Elektrochemie; IEK-9 |
Imprint: |
2023
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Conference: | Advanced battery power conference, Aachen (Germany), 2023-04-27 - 2023-04-28 |
Document Type: |
Poster |
Research Program: |
LLEC::VxG - Integration von "Vehicle-to-grid" Batteries in Application |
Publikationsportal JuSER |
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. |