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https://dx.doi.org/10.5445/ir/...
Article . 2022
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Simulation, Set-Up, and Thermal Characterization of a Water-Cooled Li-Ion Battery System

Authors: Max Feinauer; Nils Uhlmann; Carlos Ziebert; Thomas Blank;

Simulation, Set-Up, and Thermal Characterization of a Water-Cooled Li-Ion Battery System

Abstract

A constant and homogenous temperature control of Li-ion batteries is essential for a good performance, a safe operation, and a low aging rate. Especially when operating a battery with high loads in dense battery systems, a cooling system is required to keep the cell in a controlled temperature range. Therefore, an existing battery module is set up with a water-based liquid cooling system with aluminum cooling plates. A finite-element simulation is used to optimize the design and arrangement of the cooling plates regarding power consumption, cooling efficiency, and temperature homogeneity. The heat generation of an operating Li-ion battery is described by the lumped battery model, which is integrated into COMSOL Multiphysics. As the results show, a small set of non-destructively determined parameters of the lumped battery model is sufficient to estimate heat generation. The simulated temperature distribution within the battery pack confirmed adequate cooling and good temperature homogeneity as measured by an integrated temperature sensor array. Furthermore, the simulation reveals sufficient cooling of the batteries by using only one cooling plate per two pouch cells while continuously discharging at up to 3 C.

Country
Germany
Keywords

ddc:620, TK1001-1841, cooling plate, Li-ion battery pack, water-cooled battery system, 620, TP250-261, Production of electric energy or power. Powerplants. Central stations, Industrial electrochemistry, lumped battery model, Engineering & allied operations, info:eu-repo/classification/ddc/620, temperature measurement, Li-ion battery pack; water-cooled battery system; cooling plate; lumped battery model; temperature measurement

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Average
Average
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Energy Research