Poster (After Call) FZJ-2023-03887

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A comparison between physics-based Li-ion battery models

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2023

Advanced battery power conference, AachenAachen, Germany, 27 Apr 2023 - 28 Apr 20232023-04-272023-04-28

Abstract: 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.


Contributing Institute(s):
  1. Grundlagen der Elektrochemie (IEK-9)
Research Program(s):
  1. 1223 - Batteries in Application (POF4-122) (POF4-122)
  2. LLEC::VxG - Integration von "Vehicle-to-grid" (BMBF-03SF0628) (BMBF-03SF0628)

Appears in the scientific report 2023
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IEK > IEK-9
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 Record created 2023-10-15, last modified 2024-07-09



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