This paper presents a computationally efficient, spatially-reduced modelling approach able to predict the dynamic temperature distribution in a prismatic Li-ion battery cell. The technique developed presents a simple structure and the solution approach adopted has a general applicability. Starting from a BVP (Boundary Value Problem) for unsteady heat conduction, a ID model was developed to characterise the internal temperature distribution of a Li-ion cell. The integral transformation method is used to obtain an analytical solution of the BVP, which can be implemented as a real-time thermal model. Further, a 1 + ID modelling approach has been developed to evaluate the thermal dynamics of a battery cell in presence of evolving BCs. The consistency with the 3D FEM solution, the simple structure, and the computational efficiency make the model an ideal candidate to serve application in the area of simulation of battery packs, design of cooling systems and optimisation of thermal management systems. The experimental framework used to calibrate the model has been presented and results on Li-ion battery cell bulk thermal properties are reported. Two case studies have been proposed, namely the simulation of a convective cooling system and a cooling bar system. The model developed is characterised by a general structure, which allows one to easily select cooling parameters, such as cooling air velocity, air temperature, air duct geometry, fins thickness and material etc., and compare the effects of different cooling systems.
A spatially-reduced dynamic model for the thermal characterisation of Li-ion battery cells
Räumlich reduziertes dynamisches Modell für die thermische Charakterisierung von Lithiumionenbatterien
International Journal of Vehicle Design ; 58 , 2-4 ; 134-158
2012
25 Seiten, 28 Bilder, 3 Tabellen, 34 Quellen
Aufsatz (Zeitschrift)
Englisch
A spatially–reduced dynamic model for the thermal characterisation of Li–ion battery cells
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