PyBEP : an open-source tool for electrode potential determination from battery ocv measurements

Pišek, Jon (author), Katrašnik, Tomaž (author), Zelič, Klemen (author)

This paper introduces PyBEP, a Python-based tool for the automated and optimized selection of open-circuit potential (OCP) curves and calculation of stoichiometric cycling ranges for lithium-ion battery electrodes based on open-circuit voltage (OCV) measurements. Thereby, it overcomes key challenges in traditional approaches, which are often time-intensive and susceptible to errors due to manual curve digitization, data inconsistency, and coding complexities. The originality of PyBEP arises from the systematic integration of automated electrode chemistry identification, quality-controlled database usage, refinement of the results using incremental capacity methodology, and simultaneous optimization of multiple electrode parameters. The PyBEP database leverages high-quality, curated OCP data and employs differential evolution optimization for precise OCP determination. Validation against literature data and experimental results confirms the robustness and accuracy of PyBEP, consistently achieving precision of 10 mV or better. PyBEP also offers features like electrode chemical composition identification and quality enhancement of measurement data, further extending the battery modeling functionalities without the need for battery disassembly. PyBEP is open-source and accessible on GitHub, providing a streamlined, accurate resource for the battery research community, making PyBEP a unique and directly applicable toolkit for electrochemical researchers and engineers.

• Language: English
• Keywords: lithium-ion batteries, open circuit voltage, electrode potentials, electrode stoichiometric ranges, open source python package
• Work type: Article
• Typology: 1.01 - Original Scientific Article
• Organization: FS - Faculty of Mechanical Engineering
• Publication status: Published
• Publication version: Version of Record
• Year: 2025
• Number of pages: 15 str.
• Numbering: Vol. 11, iss. 8, art. 295
• PID: 20.500.12556/RUL-171175
• UDC: 621.35/.36
• ISSN on article: 2313-0105
• DOI: 10.3390/batteries11080295
• COBISS.SI-ID: 245728259
• Publication date in RUL: 18.08.2025

Record is a part of a journal

• Title: Batteries
• Shortened title: Batteries
• Publisher: MDPI
• ISSN: 2313-0105
• COBISS.SI-ID: 525652761

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.