Akademik Veri Yönetim Sistemi
37th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS2024), Rodos, Yunanistan, 30 Haziran - 05 Temmuz 2024, ss.1-10
The performance and driving range of electric vehicles (EVs) are significantly affected by temperature variations in battery systems. Although Li-Ion batteries can operate over a wide temperature range from -20°C to 60°C, optimal performance is achieved when operating in a narrower temperature band of 15°C to 45°C. This study addresses the complex thermo-chemical and thermo-mechanical processes in vehicle batteries to design an optimal cold plate battery thermal management system (BTMS) that maintains the battery temperature within the optimal range. Our methodology integrates both experimental and numerical approaches. First, a lumped model is developed in MATLAB/Simulink to simulate the time-dependent variations in battery current, operating voltage, state of charge, heat generation and cell temperature based on the power drawn from a Li-Ion battery module consisting of 14 series 2 parallel cells with a capacity of 3.3 kWh. Furthermore, a CFD model is developed in ANSYS-FLUENT to simulate novel cold plate channel designs based on the “spider web” design. Experimental validation was carried out at different discharge rates and different mass flow rates. “Crate” is the battery charge-discharge rate and “1C” is the current that can discharge the battery in 1 hour. The results show that the use of cold plate can reduce the maximum battery temperature by 5℃ at 1C rate. Such a temperature reduction underlines the effectiveness of the proposed BTMS in improving electric vehicle performance. This study not only contributes to the advancement of thermal management in electric vehicles, but also lays a foundation for future research in the optimization of electric vehicle battery systems.