TY - JOUR
T1 - Validation of a data-driven fast numerical model to simulate the immersion cooling of a lithium-ion battery pack
AU - Solai, Elie
AU - Guadagnini, Maxime
AU - Beaugendre, Héloïse
AU - Daccord, Rémi
AU - Congedo, Pietro
N1 - Publisher Copyright:
© 2022 Elsevier Ltd
PY - 2022/6/15
Y1 - 2022/6/15
N2 - Thermal management of Lithium-ion batteries is a key element to the widespread of electric vehicles. In this study, we illustrate the validation of a data-driven numerical method permitting to evaluate fast the behavior of the Immersion Cooling of a Lithium-ion Battery Pack. First, we illustrate an experiment using a set up of immersion cooling battery pack, where the temperatures, voltage and electrical current evolution of the Li-ion batteries are monitored. The impact of different charging/discharging cycles on the thermal behavior of the battery pack is investigated. Secondly, we introduce a numerical model, that simulates the heat transfer and electrical behavior of an immersion cooling Battery Thermal Management System. The deterministic numerical model is compared against the experimental measurements of temperatures. Then, we perform a Bayesian calibration of the multi-physics input parameters using the experimental measurements directly. The informative distributions outcoming of this process are used to validate the model in different experimental conditions and reduce the uncertainty in the model's temperatures predictions. Finally, the learned distributions of inputs and the numerical model are used to design the system under realistic conditions representing a realistic racing car operation. A Sobol indices based sensitivity analysis is performed to get further analysis elements on the behavior of the BTMS.
AB - Thermal management of Lithium-ion batteries is a key element to the widespread of electric vehicles. In this study, we illustrate the validation of a data-driven numerical method permitting to evaluate fast the behavior of the Immersion Cooling of a Lithium-ion Battery Pack. First, we illustrate an experiment using a set up of immersion cooling battery pack, where the temperatures, voltage and electrical current evolution of the Li-ion batteries are monitored. The impact of different charging/discharging cycles on the thermal behavior of the battery pack is investigated. Secondly, we introduce a numerical model, that simulates the heat transfer and electrical behavior of an immersion cooling Battery Thermal Management System. The deterministic numerical model is compared against the experimental measurements of temperatures. Then, we perform a Bayesian calibration of the multi-physics input parameters using the experimental measurements directly. The informative distributions outcoming of this process are used to validate the model in different experimental conditions and reduce the uncertainty in the model's temperatures predictions. Finally, the learned distributions of inputs and the numerical model are used to design the system under realistic conditions representing a realistic racing car operation. A Sobol indices based sensitivity analysis is performed to get further analysis elements on the behavior of the BTMS.
KW - Bayesian calibration
KW - Experimental dataset
KW - Immersion cooling
KW - Lithium-ion batteries
KW - Numerical simulation
KW - Sensitivity analysis
KW - Surrogate model
KW - Uncertainty quantification
U2 - 10.1016/j.energy.2022.123633
DO - 10.1016/j.energy.2022.123633
M3 - Article
AN - SCOPUS:85126464355
SN - 0360-5442
VL - 249
JO - Energy
JF - Energy
M1 - 123633
ER -
