Electrical and Thermal Active Co-Management for Lithium-ion Batteries
Electrical and Thermal Active Co-Management for Lithium-ion Batteries
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With the increased market of electric vehicle, more advanced and comprehensive battery thermal management system with active cooling strategy needs to be investigated to ensure enhanced battery pack performances. This paper presents the study of electrical and thermal co-management for Lithiumion batteries using multiphysics computational methods. The modeling process includes finite element simulation and Gaussian process (GP) based surrogate models. The model is validated using experimental data, where the temperature change of the battery is predicted. The effects of coolant velocity and battery charging C-rate are studied, and a response surface of the maximum temperature is created using the GP model. An active cooling system control strategy is then derived based on the GP model, and the effectiveness of the co-management strategy is demonstrated with a case study.
With the increased market of electric vehicle, more advanced and comprehensive battery thermal management system with active cooling strategy needs to be investigated to ensure enhanced battery pack performances. This paper presents the study of electrical and thermal co-management for Lithiumion batteries using multiphysics computational methods. The modeling process includes finite element simulation and Gaussian process (GP) based surrogate models. The model is validated using experimental data, where the temperature change of the battery is predicted. The effects of coolant velocity and battery charging C-rate are studied, and a response surface of the maximum temperature is created using the GP model. An active cooling system control strategy is then derived based on the GP model, and the effectiveness of the co-management strategy is demonstrated with a case study.
Published and presented 1 paper as the 2nd author on 2022 IEEE Transportation Electrification Conference & Expo (ITEC)
Geometry setup of the LIB pouch cell with cold plate. The top and bottom insets show the cooling channel topologies in the cold plate and the stacking structure of the pouch cell, respectively.
Comparison of simulated and experimentally measured charging curves.
Comparison of simulated and experimentally measured temperature distribution after fully charged.
Simulated maximum temperature on the battery surface as a function of charging time at 1 C-rate with different coolant velocity.
Simulated maximum temperature with respect to the battery SoC at various charging C-rate with a constant coolant velocity of 1V.
Response surface of maximum temperature with respect to C-rate and coolant velocity generated from GP surrogate model.
Comparison of the performances of different BMS cooling systems.
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