基于多物理场模型的电池无析锂电流边界估计

金莉, 王金玉, 张浚坤, 吕超, 徐少春

装备环境工程 ›› 2026, Vol. 23 ›› Issue (5) : 122-130.

PDF(2246 KB)
PDF(2246 KB)
装备环境工程 ›› 2026, Vol. 23 ›› Issue (5) : 122-130. DOI: 10.7643/ issn.1672-9242.2026.05.014
重大工程装备

基于多物理场模型的电池无析锂电流边界估计

  • 金莉1, 王金玉1,*, 张浚坤1, 吕超2, 徐少春2
作者信息 +

Estimation of Non-lithium-plating Current Boundary for Batteries Based on a Multi-physics Field Model

  • JIN Li1, WANG Jinyu1,*, ZHANG Junkun1, LYU Chao2, XU Shaochun2
Author information +
文章历史 +

摘要

目的 对电池工况电流进行控制,以防止电池发生析锂现象,保证电池的安全运行。方法 结合粒径尺寸效应影响,增加应力和产热描述,改进现有电化学模型,构建基于多粒径的电化学-热-力耦合模型。在此基础上,提出了各个粒径活性颗粒的表征析锂的负极过电势计算方程,并结合二分法提出无析锂电流边界在线估计方法。结果 构建的模型能够准确地对电池的外特性进行仿真,该模型的端电压平均绝对误差不超过20 mV,外壳温度平均绝对误差不高于0.2 ℃,以此实现了多温度、全荷电状态(SOC)范围的无析锂电流边界估计。结论 无析锂电流边界与电池温度和SOC密切相关,温度越低,SOC越高,不发生析锂的电流越小。

Abstract

The work aims to control the battery operating current and prevent lithium plating, thereby ensuring the safe operation of the battery. Considering the impact of size effect of particle, the description of stress and heat generation was highlighted to improve the existing electrochemical model, and construct a multi-particle-size coupled electro-chemo-ther- mal-mechanical model. On this basis, the calculation equations of negative electrode overpotential for characterizing lithium plating of active particles with different sizes were proposed, and combined with the bisection method, an online estimation method for the non-lithium-plating current boundary was developed. The model established in this work could accurately simulate the external characteristics of the battery. The mean absolute error (MAE) of the terminal voltage was less than 20 mV, and the MAE of the temperature was no more than 0.2 ℃, thus realizing the estimation of non-lithium-plating current boundary over a wide temperature range and the full state of charge (SOC) domain. The non-lithium-plating current boundary is closely related to battery temperature and SOC. The lower the temperature and the higher the SOC, the smaller the maximum current without lithium plating.

关键词

锂离子电池 / 电化学模型 / 温度估计 / 电流控制 / 析锂 / 负极过电势

Key words

lithium-ion batteries / electrochemical model / temperature estimation / current control / lithium plating / negative electrode overpotential

引用本文

导出引用
金莉, 王金玉, 张浚坤, 吕超, 徐少春. 基于多物理场模型的电池无析锂电流边界估计[J]. 装备环境工程. 2026, 23(5): 122-130 https://doi.org/10.7643/ issn.1672-9242.2026.05.014
JIN Li, WANG Jinyu, ZHANG Junkun, LYU Chao, XU Shaochun. Estimation of Non-lithium-plating Current Boundary for Batteries Based on a Multi-physics Field Model[J]. Equipment Environmental Engineering. 2026, 23(5): 122-130 https://doi.org/10.7643/ issn.1672-9242.2026.05.014
中图分类号: TM911   

参考文献

[1] WANG Y J, ZHANG X C, LI K Q, et al.Perspectives and Challenges for Future Lithium-Ion Battery Control and Management[J]. ETransportation, 2023, 18: 100260.
[2] LIU J L, ZHOU L F, ZHANG Y, et al.Aging Behavior and Mechanisms of Lithium-Ion Battery under Multi-Aging Path[J]. Journal of Cleaner Production, 2023, 423: 138678.
[3] ZHOU H W, FEAR C, CARTER R E, et al.Correlating Lithium Plating Quantification with Thermal Safety Characteristics of Lithium-Ion Batteries[J]. Energy Storage Materials, 2024, 66: 103214.
[4] HUANG R J, WEI G, WANG X Y, et al.A Novel Framework for Low-Temperature Fast Charging of Lithium-Ion Batteries without Lithium Plating[J]. Chemical Engineering Journal, 2024, 497: 154729.
[5] YOU H Z, JIANG B, ZHU J G, et al.In-Situ Quantitative Detection of Irreversible Lithium Plating within Full-Lifespan of Lithium-Ion Batteries[J]. Journal of Power Sources, 2023, 564: 232892.
[6] DAS S, SHROTRIYA P.Electrochemical Mechanism Underlying Lithium Plating in Batteries: Non-Invasive Detection and Mitigation[J]. Energies, 2024, 17(23): 5930.
[7] XU L, YANG Y, XIAO Y, et al.In-Situ Determination of Onset Lithium Plating for Safe Li-Ion Batteries[J]. Journal of Energy Chemistry, 2022, 67: 255-262.
[8] SIEG J, SCHMID A U, RAU L, et al.Fast-Charging Capability of Lithium-Ion Cells: Influence of Electrode Aging and Electrolyte Consumption[J]. Applied Energy, 2022, 305: 117747.
[9] WANG Y, ZHOU X, WANG R X, et al.High Sensitivity Detection of Lithium Plating in High-Energy Lithium-Ion Batteries Based on Time-Domain Distribution Relaxation Times Analysis[J]. Energy Storage Materials, 2024, 69: 103369.
[10] MEI W X, ZHANG L, SUN J H, et al.Experimental and Numerical Methods to Investigate the Overcharge Caused Lithium Plating for Lithium Ion Battery[J]. Energy Storage Materials, 2020, 32: 91-104.
[11] QIN Y D, ZUO P Y, CHEN X R, et al.An Ultra-Fast Charging Strategy for Lithium-Ion Battery at Low Temperature without Lithium Plating[J]. Journal of Energy Chemistry, 2022, 72: 442-452.
[12] LIU Z T, LI K N, ZHANG W L, et al.Research on Safe Charging Strategy of Lithium-Ion Battery Based on Three-Electrode Equivalent Circuit Model[J]. Journal of Energy Storage, 2023, 72: 108563.
[13] YANG R, XIE Y, LI K N, et al.An Enhanced Electro-Thermal Coupled Model with Lithium Plating Detection for Lithium-Ion Battery at Low Temperatures[J]. IEEE Transactions on Transportation Electrification, 2024, 10(1): 720-734.
[14] XU M, ZHANG Z Q, WANG X, et al.A Pseudo Three-Dimensional Electrochemical-Thermal Model of a Prismatic LiFePO4 Battery during Discharge Process[J]. Energy, 2015, 80: 303-317.
[15] ROMERO-BECERRIL A, ALVAREZ-ICAZA L.Comparison of Discretization Methods Applied to the Single-Particle Model of Lithium-Ion Batteries[J]. Journal of Power Sources, 2011, 196(23): 10267-10279.
[16] ZHU G R, KONG C, WANG J V, et al.A Simplified Electrochemical Model for Lithium-Ion Batteries Based on Ensemble Learning[J]. iScience, 2024, 27(5): 109685.
[17] XU S C, WANG Y H, SHAO J Y, et al.An Electrochemical-Thermal Coupling Model for Prismatic Lithium-Ion Batteries over Wide Temperature Range[J]. Applied Thermal Engineering, 2022, 217: 119282.
[18] ZHU G R, KONG C, WANG J V, et al.A Fractional-Order Electrochemical Lithium-Ion Batteries Model Considering Electrolyte Polarization and Aging Mechanism for State of Health Estimation[J]. Journal of Energy Storage, 2023, 72: 108649.
[19] LIU G C, ZHANG L J.Research on the Thermal Characteristics of an 18650 Lithium-Ion Battery Based on an Electrochemical-Thermal Flow Coupling Model[J]. World Electric Vehicle Journal, 2021, 12(4): 250.
[20] LUO W L, LYU C, WANG L X, et al.A New Extension of Physics-Based Single Particle Model for Higher Charge-Discharge Rates[J]. Journal of Power Sources, 2013, 241: 295-310.
[21] MASTALI MAJDABADI M, FARHAD S, FARKHONDEH M, et al.Simplified Electrochemical Multi-Particle Model for LiFePO4 Cathodes in Lithium-Ion Batteries[J]. Journal of Power Sources, 2015, 275: 633-643.
[22] 徐少春. 锂离子电池功率估计及数字孪生技术研究[D]. 哈尔滨: 哈尔滨工业大学, 2023.
XU S C.Research on Power Estimation and Digital Twin Technology for Lithium-Ion Battery[D]. Harbin: Harbin Institute of Technology, 2023.
[23] 吕超, 郑君, 罗伟林, 等. 锂离子电池热耦合SP+模型及其参数化简[J]. 电源学报, 2015, 13(3): 28-35.
LYU C, ZHENG J, LUO W L, et al.Thermal Coupling SP+ Model of Lithium-Ion Battery and Parameters Simplification[J]. Journal of Power Supply, 2015, 13(3): 28-35.
[24] GE H, AOKI T, IKEDA N, et al.Investigating Lithium Plating in Lithium-Ion Batteries at Low Temperatures Using Electrochemical Model with NMR Assisted Parameterization[J]. Journal of the Electrochemical Society, 2017, 164(6): A1050-A1060.
[25] 宋彦孔. 车载动力锂离子电池交流内部加热策略研究[D]. 哈尔滨: 哈尔滨工业大学, 2019.
SONG Y K.Research on Internal Heating Strategy of Vehicle Power Lithium-Ion Battery by Using Alternating Current[D]. Harbin: Harbin Institute of Technology, 2019.

基金

南方电网有限责任公司科技项目(GDKJXM20230817)

PDF(2246 KB)

Accesses

Citation

Detail

段落导航
相关文章

/