Numerical study on sensitivity analysis of factors influencing liquid cooling with double cold‐plate for lithium‐ion pouch cell

Abstract

Structural and flow parameters have a substantial effect on the thermal and hydraulic performance of a lithium-ion battery and cooling system. In this study, a computational fluid dynamics model is developed for double coldplate based liquid cooling for a 20 Ah lithium-ion pouch cell, and then validated based on experimental data. An orthogonal test consisting of single factor and multi-factor analysis is designed to obtain the sensitivity of four factors, including the inlet coolant temperature, inlet coolant volume flow rate, number of cooling channels, and maximum channel width that influence the thermal behavior of the pouch cell. The multi-objective optimization for minimizing maximum temperature, maximum temperature difference and average pressure drop using genetic algorithm is conducted subjected to constraints of operating conditions for optimum battery performance. Based on the multiobjective optimization, the obtained minimized values for maximum temperature (T max), maximum temperature difference (ΔT max) and average pressure drop (ΔP avg) are 25.25 C, 0.22 C and 48.76 kPa. The minimized objective functions are obtained at the inlet coolant temperature of 25 C, inlet coolant volume flow rate of 240 mL/min, number of cooling channel of 10 and maximum channel width of 1.70 mm.

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Thermal cooling characteristics of Li‐ion battery pack with thermoelectric ferrofluid cooling module

“…The maximum temperature reduces and small enough temperature uniformity is obtained. The effects of liquid cooling with a double cold plate 30 and the microchannel cold plate 31 on the lithium-ion pouch cell's thermal performance have been considered.…”

Internal temperature prediction of ternary polymer lithium‐ion battery pack based on CNN and virtual thermal sensor technology

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