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A new extension of physics-based single particle model for higher charge-discharge rates

  • Weilin Luo
  • , Chao Lyu*
  • , Lixin Wang
  • , Liqiang Zhang
  • *Corresponding author for this work
  • School of Electrical Engineering and Automation, Harbin Institute of Technology

Research output: Contribution to journalArticlepeer-review

Abstract

A new approximate physics-based Lithium-ion cell model is developed by extending the descriptions of the non-uniform reaction distribution effect and the electrolyte concentration/potential distribution effect into single particle model, namely the extended single particle model. In this model, the simplification of the solid-phase diffusion is based on the existing approximate solution where a polynomial is used to approximate the concentration profile inside the particle. Diffusion in the electrolyte and the concentration polarization effect are simplified using the approximate solution based on parabolic profile approximation for the electrolyte concentration distribution. Especially, this model analyzes the mathematical description of the non-uniform reaction distribution effect inside the electrode, and an approximate solution of this effect is obtained by synthetically applying the volume average technique, approximated by the uniform reaction distribution situation, exponential profile approximation and the iterative calculation techniques. Thus the description of the non-uniform reaction distribution effect is successfully extended and the pore wall fluxes at the two current collector interfaces can be accurately predicted. Simulation results show that this model greatly improves the computational efficiency with little loss of accuracy.

Original languageEnglish
Pages (from-to)295-310
Number of pages16
JournalJournal of Power Sources
Volume241
DOIs
StatePublished - 2013
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Extended single particle model
  • Lithium ion battery
  • Model order reduction
  • Model simplification
  • Physics based model
  • Single particle model

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