锂离子动力电池模型理论综述
Review of Modeling Theory for Lithium-Ion Power Batteries
DOI: 10.12677/JAPC.2023.122008, PDF,   
作者: 杨佳兴:上海工程技术大学,机械与汽车工程学院,上海
关键词: 动力电池电化学模型时域模型频域模型Power Battery Electrochemical Model Time Domain Model Frequency Domain Model
摘要: 本文对锂离子动力电池的建模理论进行综述,详细介绍了三类动力电池模型,即微观层面的电化学模型、宏观层面时域的集总模型和宏观层面的频域模型,三种模型建模思路及其对应产热模型相互有联系也有区别。电化学模型基于动力电池的内部反应原理,准确度较高但计算复杂。时域集中模型计算量小,但精确度较低,而频域集中模型理论可以对电池内部机理的电化学阻抗谱实验提供理论指导。
Abstract: This article reviews the modeling and theory of lithium-ion power batteries, and introduces three types of power battery models in detail, namely, electrochemical models at the micro level, lumped models at the macro level in the time domain, and frequency domain models at the macro level. The three modeling ideas and their corresponding heat generation models are related to each other and have differences. The electrochemical model is based on the internal reaction principle of the power battery, with high accuracy but computational complexity. The time domain lumped model requires less computation, but its accuracy is relatively low. The frequency domain lumped model theory can provide theoretical guidance for electrochemical impedance spectroscopy experiments of battery internal mechanisms.
文章引用:杨佳兴. 锂离子动力电池模型理论综述[J]. 物理化学进展, 2023, 12(2): 59-65. https://doi.org/10.12677/JAPC.2023.122008

参考文献

[1] Doyle, M., Fuller, T.F. and Newman, J. (1993) Modeling of Galvanostatic Charge and Discharge of the Lithium/ Polymer/Insertion Cell. Journal of the Electrochemical Society, 140, 1526-1533. [Google Scholar] [CrossRef
[2] Yang, Y., Chen, L., Yang, L.J., Du, X.Z. and Yang, Y.P. (2020) Capacity Fade Characteristics of Lithium Iron Phosphate Cell during Dynamic Cycle. Energy, 206, Article ID: 118155. [Google Scholar] [CrossRef
[3] Ouyang, T.C., Liu, B.L., Xu, P.H., Wang, C.C. and Ye, J.L. (2022) Electrochemical-Thermal Coupled Modelling and Multi-Measure Prevention Strategy for Li-Ion Battery Thermal Runaway. International Journal of Heat and Mass Transfer, 194, Article ID: 123082. [Google Scholar] [CrossRef
[4] Liu, Y., Tang, S., Li, L.X., et al. (2020) Simulation and Parameter Identification Based on Electrochemical-Thermal Coupling Model of Power Lithium Ion-Battery. Journal of Alloys and Compounds, 844, Article ID: 156003. [Google Scholar] [CrossRef
[5] He, T.F., Zhang, T., Wang, Z.R. and Cai, Q. (2022) A Comprehensive Numerical Study on Electrochemical-Thermal Models of a Cylindrical Lithium-Ion Battery during Discharge Process. Applied Energy, 313, Article ID: 118797. [Google Scholar] [CrossRef
[6] Hamza, M., Li, J.Y., Zhang, W.T., et al. (2022) Multi-Scale Electrochemical Thermal Model of Electric Double Layer Capacitor under Galvanostatic Cycling. Journal of Power Sources, 548, Article ID: 231983. [Google Scholar] [CrossRef
[7] Yin, L.T., Björneklett, A., Söderlund, E. and Brandell, D. (2021) Analyzing and Mitigating Battery Ageing by Self- Heating through a Coupled Thermal-Electrochemical Model of Cylindrical Li-Ion Cells. Journal of Energy Storage, 39, Article ID: 102648. [Google Scholar] [CrossRef
[8] He, C.X., Yue, Q.L., Wu, M.C., Chen, Q. and Zhao, T.S. (2021) A 3D Electrochemical-Thermal Coupled Model for Electrochemical and Thermal Analysis of Pouch-Type Lithium-Ion Batteries. International Journal of Heat and Mass Transfer, 181, Article ID: 121855. [Google Scholar] [CrossRef
[9] Tamilselvi, S., Gunasundari, S., Karuppiah, N., Razak, R.K.A., Madhusudan, S., Nagarajan, V.M., et al. (2021) A Review on Battery Modelling Techniques. Sustainability, 13, Article No. 10042. [Google Scholar] [CrossRef
[10] Fotouhi, A., Auger, D.J., Propp, K., Longo, S. and Wild, M. (2016) A Review on Electric Vehicle Battery Modelling: From Lithium-Ion toward Lithium-Sulphur. Renewable and Sustainable Energy Reviews, 56, 1008-1021. [Google Scholar] [CrossRef
[11] Romero-Becerril, A. and Alvarez-Icaza, L. (2011) Comparison of Discretization Methods Applied to the Single-Particle Model of Lithium-Ion Batteries. Journal of Power Sources, 196, 10267-10279. [Google Scholar] [CrossRef
[12] Baba, N., Yoshida, H., Nagaoka, M., Okuda, C. and Kawauchi, S. (2014) Numerical Simulation of Thermal Behavior of Lithium-Ion Secondary Batteries Using the Enhanced Single Particle Model. Journal of Power Sources, 252, 214-228. [Google Scholar] [CrossRef
[13] Pozzi, A., Ciaramella, G., Volkwein, S. and Raimondo, D.M. (2019) Optimal Design of Experiments for a Lithium-Ion Cell: Parameters Identification of an Isothermal Single Particle Model with Electrolyte Dynamics. Industrial & Engineering Chemistry Research, 58, 1286-1299. [Google Scholar] [CrossRef
[14] Aldo, R. and Luis, A. (2011) Comparison of Discretization Methods Applied to the Single-Particle Model of Lithium- Ion Batteries. Journal of Power Sources, 196, 10267-10279. [Google Scholar] [CrossRef
[15] Hu, X.S., Li, S.B. and Peng, H. (2012) A Comparative Study of Equivalent Circuit Models for Li-Ion Batteries. Journal of Power Sources, 198, 359-367. [Google Scholar] [CrossRef
[16] Wang, Q., Jiang, B., Li, B. and Yan, Y. (2016) A Critical Review of Thermal Management Models and Solutions of Lithium-Ion Batteries for the Development of Pure Electric Vehicles. Renewable and Sustainable Energy Reviews, 64, 106-128. [Google Scholar] [CrossRef
[17] Johnson, V. (2002) Battery Performance Models in ADVISOR. Journal of Power Sources, 110, 321-329. [Google Scholar] [CrossRef
[18] Ding, X., Zhang, D., Cheng, J., Wang, B. and Luk, P.C.K. (2019) An Improved the Venin Model of Lithium-Ion Battery with High Accuracy for Electric Vehicles. Applied Energy, 254, Article ID: 113615. [Google Scholar] [CrossRef
[19] Yao, L.W., Wirun, A., Aziz, J. and Sutikno, T. (2015) Battery State of Charge Estimation with Extended Kalman Filter Using Third Order the Venin Model. Telkomnika, 13, 401-412. [Google Scholar] [CrossRef
[20] Xia, B., Sun, Z., Zhang, R. and Lao, Z. (2017) A Cubature Particle Filter Algorithm to Estimate the State of the Charge of Lithium-Ion Batteries Based on a Second-Order Equivalent Circuit Model. Energies, 10, Article No. 457. [Google Scholar] [CrossRef
[21] Liu, C., Hu, M., Jin, G., Xu, Y. and Zhai, J. (2021) State of Power Estimation of Lithium-Ion Battery Based on Fractional-Order Equivalent Circuit Model. Journal of Energy Storage, 41, Article ID: 102954. [Google Scholar] [CrossRef
[22] Ruan, H., Sun, B., Jiang, J., Zhang, W., He, X., Su, X., et al. (2021) A Modified-Electrochemical Impedance Spectroscopy-Based Multi-Time-Scale Fractional-Order Model for Lithium-Ion Batteries. Electrochimica Acta, 394, Article ID: 139066. [Google Scholar] [CrossRef
[23] Zou, C., Zhang, L., Hu, X., Wang, Z., Wik, T. and Pecht, M. (2018) A Review of Fractional-Order Techniques Applied to Lithium-Ion Batteries, Lead-Acid Batteries, and Supercapacitors. Journal of Power Sources, 390, 286-296. [Google Scholar] [CrossRef