• CN:11-2187/TH
  • ISSN:0577-6686

机械工程学报 ›› 2025, Vol. 61 ›› Issue (22): 176-188.doi: 10.3901/JME.2025.22.176

• 运载工程 • 上一篇    

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基于简化P2D模型的锂离子电池析锂评估方法

熊瑞, 李幸港   

  1. 北京理工大学机械与车辆学院 北京 100081
  • 收稿日期:2024-12-05 修回日期:2025-06-01 发布日期:2026-01-10
  • 作者简介:熊瑞(通信作者),男,1985年出生,博士,教授。主要研究方向为新能源汽车动力电池管理。E-mail:rxiong@bit.edu.cn
    李幸港,男,1994年出生,博士研究生。主要研究方向为新能源汽车动力电池管理。E-mail:lixinggang@bit.edu.cn
  • 基金资助:
    国家重点研发计划资助项目(2021YFB2402002)。

Lithium Plating Evaluation Method for Li-ion Batteries Based on Simplified P2D Model

XIONG Rui, LI Xinggang   

  1. School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081
  • Received:2024-12-05 Revised:2025-06-01 Published:2026-01-10

摘要: 快速充电是锂离子电池快速发展的必然需求,然而,快充过程中由于锂离子无法及时嵌入石墨负极,极易出现“析锂”,严重影响电池耐久性和安全性。析锂在线检测是提升电池快充安全性的必要手段。为此,首先基于电池多孔电极模型理论,选取5个表征电势分布固液相颗粒点实现P2D电化学模型的简化;其次对电池内部固相颗粒中和液相中锂离子扩散过程分别离散求解,以负极表面固液相电势差作为依据开展析锂评估;最后通过扫描电镜微观形貌观测与能谱分析对析锂进行定性分析,并提出使用充电结束后的弛豫电压微分曲线峰值出现时间与峰值高度的乘积作为析锂的验证参数对估计析锂量进行间接定量验证。不同温度和倍率下工况的模型验证结果表明,该模型对析锂的验证参数估计误差小于15%,可实现锂离子电池的析锂快速评估。

关键词: 电动汽车, 动力电池, 电化学模型, 负极析锂

Abstract: Fast charging is an inevitable demand for the rapid development of lithium-ion batteries. However, during the fast charging process, when lithium ions fails to intercalate promptly into the graphite anode, it is easy to experience “lithium plating”, which seriously affects its durability and safety. Lithium plating online detection is a necessary means to improve the safety of fast charging batteries. Therefore, this paper selects 5 solid liquid particle points to characterize the potential distribution and simplify the P2D electrochemical model based on the porous electrode theory of batteries. The diffusion process of lithium ions in the solid phase particles and liquid phase inside the battery is discretized and solved separately. Lithium plating is evaluated based on the potential difference between the solid and liquid phases on the negative electrode surface. Qualitative analysis of lithium plating is carried out through scanning electron microscopy microscopic morphology observation and energy spectrum analysis. It is proposed to use the product of the peak appearance time and peak height of the relaxation voltage differential curve after charging as the validation parameter for indirect quantitative verification of the estimated lithium evolution amount. The model validation results under different temperature and magnification conditions indicate that the estimation error of the validation parameters for lithium plating in this model is less than 15%, which can achieve rapid plating of lithium evolution in lithium-ion batteries.

Key words: electric vehicle(EV), lithium battery, electrochemical model, lithium plating

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