UNIV. NEWS. NORTH-CAUCAS. REG. TECHNICAL SCIENCES SERIES. 2023; 1: 43-48
http://dx.doi.org/10.17213/1560-3644-2023-1-43-48
DIAGNOSTICS OF LITHIUM-ION BATTERIES BY ELECTROCHEMICAL IMPEDANCE METHODS
Lipkin Mikhail S. – Doctor of Technical Sciences, Associate Professor, Head of the Department «Chemical Technology», Platov South-Russian State Polytechnic University (NPI), Novocherkassk, Russia. lipkin@yandex.ru
Korbova Ekaterina V. – Graduate Student, Department «Chemical Technology», Platov South-Russian State Polytechnic University (NPI), Novocherkassk, Russia. war_wara@inbox.ru
Lukovkin Mikhail V. – Graduate Student, Department «Chemical Technology», Platov South-Russian State Polytechnic University (NPI), Novocherkassk, Russia.
Lipkina Tatiana V. – Candidate of Technical Sciences, Associate Professor, Department «Chemical Technology», Platov South-Russian State Polytechnic University (NPI), Novocherkassk, Russia. lipkina-t@mail.ru
Semenkova Anastasia V. – Graduate Student, Department «Chemical Technology», Platov South-Russian State Polytechnic University (NPI), Novocherkassk, Russia.
Abstract
Possibilities of electrochemical impedance spectroscopy for analysis of self-discharge reasons of prismatic lithium-ion batteries (LIB) are considered. It is shown that conclusions about the causes of self-discharge can be drawn from the topology and parameters of the substitution circuits. Presence of additional series links in the circuit and small value of ohmic resistance between the electrodes allows predicting self-discharge by internal bridges which are represented by electrode materials particles flaking off the electrodes and embedding into the separation. The presence of parallel links in the substitution circuit of one or both electrodes, is an indication of their heterogeneous operation due to the small amount of electrolyte or its decomposition.
For citation: Lipkin М.S., Korbova E.V., Lukovkin M.V., Lipkina T.V., Semenkova A.V. Diagnostics of Lithium-Ion Batteries by Electrochemical Impedance Methods. Izv. vuzov. Sev.-Kavk. region. Techn. nauki=Bulletin of Higher Educational Institutions. North Caucasus Region. Technical Sciences. 2023;(1):43-48. (In Russ.). http://dx.doi.org/10.17213/1560-3644-2023-1-43-48
Keywords: self-discharge, lithium-ion batteries, intercalated lithium, graphite, impedance spectroscopy, Warburg imped-ance, cycling, separator, capacity, hodograph
Full text: [in elibrary.ru]
References
- Website of BSLBATT Battery is a Technology Company with Extensive Intellectual Property. Headquartered in Huizhou, China. Available at: https://www.lithium-battery-factory.com/ru/self-discharge-of-lithium-battery/ (accessed 20.01.2023).
- Online Shop for Li-ion Batteries: "Вatteries from Leading Manufacturers: Samsung, Murata, LG, Sanyo, Molicel". Available at: https://www.lithium-battery-factory.com/ru/self-discharge-of-lithium-battery/ (accessed 20.01.2023).
- Simon E.J. et al. Physical Origin of the Differential Voltage Minimum Associated with Lithium Plating in Li-Ion Batteries. Journal of The Electrochemical Society. 2020. 167(9):090540,
- Xianke Lin et al. A Comprehensive Capacity Fade Model and Analysis for Li-Ion Batteries.2013. Journalofthe Electrochemical Society; 160(10): A 1701–A1710.
- Jorn M. Reniers, Grietus Mulder, David A. Howey. Review and Performance Comparison of Mechanical-chemical Degradation Models for Lithium-ion Batteries. Journalofthe Electrochemical Society. 2019. 166(14): A3189–A3200.
- Valentin Sulzer et al. Python Battery Mathematical Modelling (PyBaMM). Journal of Open Research. 2021. Software, 9.
- Marquis S.G et al. An Asymptotic Derivation of a Single Particle Model with Electrolyte. Journal of The Electrochemical Society. 2019; 166 (15): A3693.
- Sulzer V et al. Faster Lead-acid Battery Simulations from Porous- electrode Theory: Part I. Physical Model. Journal of the Electrochemical Society. 2019; 166(12): A2363–A2371.
- Sulzer V. et al. Faster Leadacid Battery Simulations from Porous-electrode Theory: Part II. Asymptotic Analysis. Journal of the Electrochemical Society. 2019; 166(12): A2372–A2382.
- Chen C.H. Development of Experimental Techniques for Parameterization of Multi-scale Lithium-ion Battery Models. Journal of The Electrochemical Society. 2020; 167(8): 080534.
- Tranter T.G. et al. Probing Heterogeneity in Li-ion Batteries with Coupled Multiscale Models of Electrochemistry and Thermal Transport Using Tomographic Domains. Journal of The Electrochemical Society. 2020; 167(11): 110538.
- Marquis S.G. Et al. A Suite of Reduced-order Models of a Single-layer Lithium-ion Pouch Cell. Journal of The Electrochemical Society. 2020; 167(14): 140513.
- Timms R. et al. Asymptotic Reduction of a Lithium-ion Pouch Cell Model. Available at: https://arxiv.org/abs/2005.05127. (accessed 20.01.2023)
- Salinas F., Kowal J. Discharge Rate Capability in Aged Li-ion Batteries. Journal of the Electrochemical Society. 2020.
- Xianke Lin et al. A Comprehensive Capacity Fade Model and Analysis for Li-Ion Batteries. Journal of the Electrochemical Society. 2013; 160(10): A1701–A1710.
- Jorn M. Reniers, Grietus Mulder, David A. Howey. Review and Performance Comparison of Mechanical-chemical Degradation Models for Lithium-ion Batteries. Journal of the Electrochemical Society. 2019; 166(14): A3189–A3200.
- Valentin Sulzer et al. Python Battery Mathematical Modelling (PyBaMM). 2021. Journal of Open Research Software;