https://doi.org/10.1140/epjs/s11734-022-00605-7
Regular Article
Computational analysis of fluid immersed active cooling for battery thermal management using thermal lattice Boltzmann method
1
Department of Mechanical Engineering, National Institute of Technology Karnataka, Surathkal, 57025, Mangalore, India
2
Microfluids and Nanofluids Laboratory, Department of Mechanical Engineering, National Institute of Technology Karnataka, Surathkal, 57025, Mangalore, India
Received:
31
December
2021
Accepted:
3
May
2022
Published online:
18
May
2022
A computational analysis of the thermal management system of a battery-pack, whereby the cells are actively cooled at their surfaces by being immersed in a nanofluid medium. Nanofluids used in the automotive and energy management systems are selected and modelled within this work. The present study is conducted by carefully observing the flow structures, thermal energy distribution, entropy generation and pumping power requirements within the battery-pack, to be able to present a resource helpful for designers in the preliminary stages of their thermal management system. This study throws light beyond the case of the battery-pack thermal management, to other applications that require to be maintained at a given temperature or require a certain quantity of heat to be removed from it.
© The Author(s), under exclusive licence to EDP Sciences, Springer-Verlag GmbH Germany, part of Springer Nature 2022