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Thermo-electric Coupling Modeling and Visual Characterization of Lithium-ion Batteries
School of Mechanical Engineering, Beijing Institute of Technology, Beijing, 100081, China.
School of Mechanical Engineering, Beijing Institute of Technology, Beijing, 100081, China.
Mälardalen University, School of Business, Society and Engineering, Future Energy Center.ORCID iD: 0000-0002-6279-4446
2025 (English)In: Jixie Gongcheng Xuebao/Journal of Mechanical Engineering, ISSN 0577-6686, Vol. 61, no 2, p. 268-280Article in journal (Refereed) Published
Abstract [en]

The electrochemical reactions and heat generation mechanism inside lithium ion batteries (LIBs) are complex, which can be influenced by many factors. Precise mathematical modeling and visualization of LIB internal states are of importance for battery management systems. A model based on coupling electrochemical and thermal characteristic is established, in which the characteristics of battery shape and micro-geometry structure are also considered. Moreover, a method is further proposed to obtain model parameters, which combines measurements and data-driven parameter identification. To visualize lithium ion concentration in solid-phase, numerical equations describing the electrochemical reaction are established based on the lithium ion diffusion mechanism, which can explain the coupling effects of temperatures and charging rates on LIB capacity. model validation results show that the prediction error of terminal voltage is less than 50 mV and the estimation error of temperature is less than 2 ℃.

Place, publisher, year, edition, pages
Chinese Mechanical Engineering Society , 2025. Vol. 61, no 2, p. 268-280
Keywords [en]
co-simulation, dismantling measurement, electrochemical-thermal coupling mode, lithium-ion battery, visual analysis, Thermal modeling, Cosimulation, Coupling mode, Electrochemical reactions, Electrochemicals, Ion batteries, Lithium ions, Thermal coupling, Reaction rates
National Category
Energy Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-70422DOI: 10.3901/JME.2025.02.268Scopus ID: 2-s2.0-85218959634OAI: oai:DiVA.org:mdh-70422DiVA, id: diva2:1944061
Available from: 2025-03-12 Created: 2025-03-12 Last updated: 2025-10-10Bibliographically approved

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Li, Hailong

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