• Varsha R. Kyadar
• Dr.I.A. Khan

It has been estimated that the up to 2030 half of the market of vehicles will be of electric vehicles (EV). The performance of EV batteries has most important consideration in this revolution. Use of liquid cooled plates might be the option for improvement in performance of currently used most feasible Li-ion batteries. An effective modelling only can evaluates the thermal performance of immersion cooling for an EV Li-ion battery. Immersion cooling has an efficacy in enhancing maximum mobile temperature, cellular’s temperature gradient, cell-to-cell temperature differential, and pressure drop within the module are investigated by direct assessment with a cold-plate-cooled battery module. Parametric analyses accomplished at specific module discharge c-prices and coolant drift costs to understand the sensitivity of every cooling method to important machine overall performance parameters. Parameters are modelled considering further requirement of numerical analysis using time-accurate Computational Fluid Dynamics (CFD). In this paper the model is proposed for further CFD analysis of liquid cold batteries. Indirect immersion cooling has higher thermal conductance provides lower cell temperature and lower temperature gradients at high discharge rates. Lower viscosity and density of dielectric liquid of an indirect cooled battery should performs considerably better.

CFD Modelling, EV Batteries, Electric Vehicles, Liquid cooling

"CFD Modelling of Liquid Cold Plates for Efficient Thermal Performance of Electric Vehicle Li-ion Battery Modules", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 8, page no.a673-a676, August-2021, Available :http://www.jetir.org/papers/JETIR2108086.pdf

"CFD Modelling of Liquid Cold Plates for Efficient Thermal Performance of Electric Vehicle Li-ion Battery Modules", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 8, page no. ppa673-a676, August-2021, Available at : http://www.jetir.org/papers/JETIR2108086.pdf