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A computationally efficient physics-based equivalent circuit model for real-time simulation of electrochemical-thermal behavior in lithium-ion batteries
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A computationally efficient physics-based equivalent circuit model for real-time simulation of electrochemical-thermal behavior in lithium-ion batteries
Professor Jong-Sup Hong’s research team, including Ph.D. candidate Dae-Gyun Oh, developed a computationally efficient Physics-Based Equivalent Circuit Model (PBECM) for the real-time prediction of the electrochemical and thermal behavior of lithium-ion batteries. This study was conducted in collaboration with Hyundai Motor Company. To reduce the high computational cost of conventional high-fidelity electrochemical models, the research team reformulated the governing equations of the model into an equivalent-circuit structure and coupled it with a thermal model. This approach improved computational efficiency while preserving the model’s physical interpretability. Its voltage and temperature prediction performance was validated under various operating conditions. This study is significant because it presents a modeling methodology that combines the strengths of high-fidelity electrochemical models and equivalent circuit models, making it suitable for real-time battery simulations and the design of battery management systems (BMSs) and battery thermal management systems. The findings were published in Applied Energy, a prestigious international journal in the fields of chemistry and energy (2025 Impact Factor: 12.2; top 7.4% in the JCR Engineering, Chemical category).

