Quantitative Analysis of Performance Decrease and Fast-Charging Limitation for Lithium-Ion Batteries at Low Temperature Based on the Electrochemical Model

Haijun Ruan, Bingxiang Sun, Weige Zhang, Xiaojia Su, Xitian He

Research output: Contribution to journalArticlepeer-review

20 Citations (Scopus)

Abstract

The mechanism revelation of performance decrease and fast-charging limitation of lithium-ion batteries at low temperatures is indispensable to optimize battery design and develop fast-charging methods. In this article, an electrochemical model-based quantitative analysis method is proposed to uncover the dominant reason for performance decrease and fast-charging limitation of batteries at low temperatures. The highly important dynamic parameters are carefully determined by the experimental data from the checked three-electrode battery and optimized by the genetic algorithm, rather than directly taken from the references. Validation results confirm that the electrochemical model can well reproduce battery behaviors under different conditions and that identified parameters are accurate. The quantitative analysis indicates that the sluggish diffusion in cathode and anode electrodes is the principal reason for battery available capacity loss. Battery available power attenuation is primarily attributed to the increased film resistance of anode and the reduced exchange current density of cathode, and it is substantially independent of the reduced diffusivity. The comparison result from the lithium-plating-prevention charging current reveals that the increased film resistance of the anode is responsible for the predominant limitation of low-temperature fast-charging, despite the most change in the exchange current density of the anode. This quantitative revelation breaks through the traditional understanding from the qualitative analysis that performance decrease and fast-charging limitation of batteries at low temperatures are highly associated with the degree of the change of characteristic parameters.

Original languageEnglish
Article number9210223
Pages (from-to)640-650
Number of pages11
JournalIEEE Transactions on Intelligent Transportation Systems
Volume22
Issue number1
Early online date30 Sept 2020
DOIs
Publication statusPublished - Jan 2021
Externally publishedYes

Funder

This work was supported by the Fundamental Research Funds of the Central Universities under Grant 2018JBM053.

Keywords

  • Lithium-ion batteries
  • low temperature
  • performance decrease
  • fast-charging limitation
  • quantitative analysis
  • electrochemical model

ASJC Scopus subject areas

  • Automotive Engineering
  • Mechanical Engineering
  • Computer Science Applications

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