Enhanced porous electrode theory based electrochemical model for higher fidelity modelling and deciphering of the EIS spectra

Mele, Igor (author), Zelič, Klemen (author), Firm, Marko (author), Moškon, Jože (author), Gaberšček, Miran (author), Katrašnik, Tomaž (author)

Electrochemical impedance spectroscopy (EIS) is essential for non-invasive battery characterization. This paper addresses the challenge of adequate interpretation of EIS spectra, which are often complicated by overlapping internal phenomena occurring on similar time scales. We present, for the first time, a high-fidelity numerical time-domain electrochemical model that can virtually replicate experimental EIS spectra with three superimposed high-frequency semicircles, a transition to the diffusion tail at elevated imaginary values, and a tilted diffusion tail at low frequencies. These advanced features were made possible by extending state-of-the-art porous electrode model with innovative sub-models for the double layer phenomenon at the carbon black/electrolyte and metal Li-anode/electrolyte interfaces, and transport phenomena of charged species through the solid electrolyte interphase at the Li-anode interface. Additionally, we modelled the diffusion tail inclination by introducing representative active particles of varying sizes. Results from custom-made half-cells confirm the model's ability to decipher EIS spectra more accurately compared to existing models. Moreover, innovative physics-based battery model that is capable of accurately modelling intra-cell phenomena can reveal internal states and physical parameters of batteries using measured EIS spectra. The model, therefore, also enables functionality of an advanced virtual sensor, which is an important diagnostics feature in next-generation battery management systems.

• Language: English
• Keywords: Li-ion battery modelling, electrochemical model, electrochemical impedance spectroscopy, NMC, deciphering EIS spectra
• Work type: Article
• Typology: 1.01 - Original Scientific Article
• Organization: FS - Faculty of Mechanical Engineering; FKKT - Faculty of Chemistry and Chemical Technology
• Publication status: Published
• Publication version: Version of Record
• Year: 2024
• Number of pages: 17 str.
• Numbering: Vol. 171, no. 8, art. 080537
• PID: 20.500.12556/RUL-160434
• UDC: 621.35
• ISSN on article: 1945-7111
• DOI: 10.1149/1945-7111/ad6eb9
• COBISS.SI-ID: 205603331
• Publication date in RUL: 28.08.2024

Record is a part of a journal

• Title: Journal of the electrochemical society
• Publisher: Electrochemical Society
• ISSN: 1945-7111
• COBISS.SI-ID: 22698791

Licences

• License: CC BY 4.0, Creative Commons Attribution 4.0 International
• Link: http://creativecommons.org/licenses/by/4.0/
• Description: This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

Secondary language

• Language: Slovenian
• Keywords: Li-ionske baterije, elektrokemijski model, elektrokemijska impedančna spektroskopija, NMC, interpretirati EIS spekter