基于单颗粒电化学模型的多种滥用情况下锂电内短路程度评估

焦建芳; 刘连起; 姚预; 王光; 谢家乐

doi:10.19799/j.cnki.2095-4239.2025.0910

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基于单颗粒电化学模型的多种滥用情况下锂电内短路程度评估

储能测试与评价 | 更新时间：2026-05-28

- 基于单颗粒电化学模型的多种滥用情况下锂电内短路程度评估
- Evaluation of the degree of internal short circuit in lithium-ion batteries based on a single-particle electrochemical model under various abuse scenarios
- 储能科学与技术 2026年15卷第2期页码：637-646
- 作者机构：
  
  1.华北电力大学自动化系
  2.华北电力大学燕赵电力实验室
  3.华北电力大学电力工程系，河北保定 071003
- 作者简介：
  
  焦建芳（1987—），女，博士，副教授，研究方向为储能系统运行优化、电池系统故障诊断，E-mail：jiaojianfang@ncepu.edu.cn；
  谢家乐，副教授，研究方向为储能/动力电池系统特性建模、结构优化、状态估计、故障诊断及安全风险管控，E-mail：tellerxie@ncepu.edu.cn。
- 基金信息：
  
  国家自然科学基金(52207235);河北省自然科学基金(E2023502026;F2023502011)
- DOI：10.19799/j.cnki.2095-4239.2025.0910
  中图分类号： TK 02
- 收稿：2025-10-13，
  
  修回：2025-10-31，
  
  纸质出版：2026-02-28
- 稿件说明：
移动端阅览
焦建芳, 刘连起, 姚预, 等. 基于单颗粒电化学模型的多种滥用情况下锂电内短路程度评估[J]. 储能科学与技术, 2026, 15(2): 637-646.

JIAO Jianfang, LIU Lianqi, YAO Yu, et al. Evaluation of the degree of internal short circuit in lithium-ion batteries based on a single-particle electrochemical model under various abuse scenarios[J]. Energy Storage Science and Technology, 2026, 15(2): 637-646.
焦建芳, 刘连起, 姚预, 等. 基于单颗粒电化学模型的多种滥用情况下锂电内短路程度评估[J]. 储能科学与技术, 2026, 15(2): 637-646. DOI： 10.19799/j.cnki.2095-4239.2025.0910.

JIAO Jianfang, LIU Lianqi, YAO Yu, et al. Evaluation of the degree of internal short circuit in lithium-ion batteries based on a single-particle electrochemical model under various abuse scenarios[J]. Energy Storage Science and Technology, 2026, 15(2): 637-646. DOI： 10.19799/j.cnki.2095-4239.2025.0910.

摘要

通过辨识锂电池电化学模型参数来间接估计其内部状态，从而为电池状态监控与安全管理提供依据。为系统揭示不同滥用条件对锂电池内部状态的影响机制，本研究提出一种基于参数辨识的损伤机理判断方法。以松下NCR 18650BD型三元锂离子电池为研究对象，首先基于标准测试数据辨识健康状态下的电化学参数，建立正常电池参数集。随后，对3组样本电池分别进行过充、过放与过热3类典型滥用实验，并基于实验数据对损伤电池进行参数再辨识，获取关键电化学参数的变化信息。通过深入分析，揭示了不同类型滥用损伤对应的不同参数变化及其关联的微观失效机制。虽然各种滥用是耦合存在而不是孤立的，但是可以判断出过放引发的损伤主要表现为正极可用位点丧失，过热引发的损伤以界面反应与锂离子传输动力学退化为主，而过充引发的损伤则同时涉及锂库存损失与活性物质劣化。本研究系统构建了滥用条件与参数变化之间的定量关联，为锂电池精准状态监测、安全预警及寿命管理策略的优化提供了理论与实验支撑。

Abstract

The internal state of lithium-ion batteries (LIBs) can be indirectly estimated by identifying their electrochemical model parameters

thereby providing a basis for battery status monitoring and safety management. To systematically reveal the influence of different abuse conditions on the internal state of LIBs

this study proposes a parameter identification–based method for determining degradation mechanisms. Using a Panasonic NCR 18650BD ternary LIB as the study object

a reference parameter set for a normal cell was first established by identifying the electrochemical parameters of healthy batteries based on standard test data. Subsequently

three groups of LIB samples were subjected to three typical abuse tests: over-charge

over-discharge

and thermal abuse. The key electrochemical parameters were re-identified using the experimental data to track changes after damage. This study reveals distinct parameter variations corresponding to different abuse-induced degradation modes and their associated microscopic failure mechanisms through in-depth analysis. Although various abuse conditions typically manifest in coupled rather than isolated forms

our findings demonstrate that over-discharge primarily leads to cathode active site loss

thermal abuse predominantly causes interfacial reactions and lithium-ion transport kinetics deterioration

whereas over-charge simultaneously involves lithium inventory loss and active material degradation. This study systematically establishes quantitative correlations between abuse conditions and parameter evolution

providing theoretical and experimental foundations for precise state monitoring

safety warning

and optimized lifetime management strategies of LIBs.

关键词

Keywords

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