储能科学与技术 ›› 2022, Vol. 11 ›› Issue (11): 3688-3698.doi: 10.19799/j.cnki.2095-4239.2022.0344

• 储能测试与评价 • 上一篇    下一篇

锂电池电解液电导率模型研究进展

周思飞(), 李骏(), 王小飞, 张道明, 薛浩亮   

  1. 中国石化上海石油化工研究院,上海 201208
  • 收稿日期:2022-06-21 修回日期:2022-07-06 出版日期:2022-11-05 发布日期:2022-11-09
  • 通讯作者: 李骏 E-mail:sz14f2601@163.com;lijun.sshy@sinopec.com
  • 作者简介:周思飞(1993—),女,硕士,主要研究方向锂离子电池电解液,E-mail:sz14f2601@163.com

Research progress in the conductivity model of lithium battery electrolytes

Sifei ZHOU(), Jun LI(), Xiaofei WANG, Daoming ZHANG, Haoliang XUE   

  1. SINOPEC Shanghai Research Institute of Petrochemical Technology, Shanghai 201208, China
  • Received:2022-06-21 Revised:2022-07-06 Online:2022-11-05 Published:2022-11-09
  • Contact: Jun LI E-mail:sz14f2601@163.com;lijun.sshy@sinopec.com

摘要:

本文从经典溶液模型、统计热力学模型、半经验模型和数理统计方法四个方面阐述了近年来国内外锂电池电解液溶液电导率模型的研究进展。锂电池电解液溶液的离子传输机理研究已逐渐从经典的溶液理论转向统计热力学理论,从分子和离子的微观参数出发建立高水平的热力学理论模型,以更好地理解微观结构和微观粒子相互作用。锂电池电解液溶液电导率的预测以及优化则从传统的半经验模型转向数理统计方法,从而以较小的试验规模、较短的试验周期和较低的试验成本,获得理想的试验结果以及得出科学的结论。

关键词: 锂电池电解液, 电导率, 传输机理, 预测

Abstract:

A review of the research progress of the lithium battery electrolyte-conductivity model recently is described from the classic solution model, statistical thermodynamic model, semi-empirical model, and mathematical-statistical method. The statistical thermodynamics theory has gradually replaced the classical solution theory in studies on the transport mechanism of lithium battery electrolytes. To better understand the microstructure and interaction between microscopic particles, a high-level thermodynamic theoretical model is created from the microscopic properties of molecules and ions. The prediction and optimization of the conductivity of lithium battery electrolyte changed from the conventional semi-empirical model to a mathematical, statistical method to obtain ideal test results and draw scientific conclusions with a small-test scale, short test cycle, and low test cost.

Key words: lithium battery electrolyte, conductivity model, transport mechanism, prediction

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