Title: A spatially-reduced dynamic model for the thermal characterisation of Li-ion battery cells

Authors: Matteo Muratori; Marcello Canova; Yann Guezennec

Addresses: Center for Automotive Research, Department of Mechanical and Aerospace Engineering, The Ohio State University, 930 Kinnear Road, Columbus, OH 43212, USA ' Center for Automotive Research, Department of Mechanical and Aerospace Engineering, The Ohio State University, 930 Kinnear Road, Columbus, OH 43212, USA ' Center for Automotive Research, Department of Mechanical and Aerospace Engineering, The Ohio State University, 930 Kinnear Road, Columbus, OH 43212, USA

Abstract: Li-ion electrochemical batteries have become the standard for energy storage in transportation and several studies have related the performance and aging behaviour to the cell temperature during utilisation. This paper proposes a methodology to predict the thermal behaviour of Li-ion battery cells through a spatially-reduced model. An electro-thermal model was formulated to predict the dynamics of the cell voltage, state of charge and internal temperature distribution in relation with the current demand and cooling conditions, applying an analytical solution technique. The model calibration was experimentally conducted and validation results are presented to support the proposed modelling approach.

Keywords: energy storage systems; Li-ion batteries; lithium-ion batteries; thermal modelling; thermal management; spatially-reduced models; electro-thermal models; Li-ion thermal properties; dynamic modelling.

DOI: 10.1504/IJVD.2012.047402

International Journal of Vehicle Design, 2012 Vol.58 No.2/3/4, pp.134 - 158

Available online: 18 Jun 2012

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