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research-article

Development of a two dimensional thermal model for Li-ion battery pack with experimental validation

[+] Author and Article Information
Haoting Wang

Department of Aerospace and Ocean Engineering, Virginia Tech Blacksburg, VA 24061 haoting@vt.edu

Ning Liu

Department of Mechanical and Aerospace Engineering Charlottesville, VA 22904 nl9j@virginia.edu

Lin Ma

Department of Mechanical and Aerospace Engineering, University of Virginia Charlottesville, VA 22904 linma@virginia.edu

1Corresponding author.

Contributed by the Heat Transfer Division of ASME for publication in the Journal of Thermal Science and Engineering Applications. Manuscript received March 10, 2019; final manuscript received May 15, 2019; published online xx xx, xxxx. Assoc. Editor: Steve Q. Cai.

ASME doi:10.1115/1.4043810 History: Received March 10, 2019; Accepted May 16, 2019

Abstract

This paper reports the development of a two dimensional two states (2D2S) model for the analysis of thermal behaviors of Li-ion battery packs and its experimental validation. This development was motivated by the need to fill a niche in our current modeling capabilities: the need to analyze 2D temperature (T) distributions in large-scale battery packs in real time. Past models were predominately developed to either provide detailed T information with high computational cost, or to provide real-time analysis but only 1D lumped T information. However, the capability to model 2D T field in real time is desirable in many applications ranging from optimal design of cooling strategies to onboard monitoring and control. Therefore, this work developed a new approach to provide this desired capability. The key innovations in our new approach involved modeling the whole battery pack as a complete thermal-fluid network and at the same time calculating only two states (surface and core T) for each cell. Modeling the whole pack as a complete network captured the interactions between cells and enabled the accurate resolution of the 2D T distribution. Limiting the calculation to only the surface and core T controlled the computational cost at a manageable level and rendered the model suitable for packs at large scale with many cells.

Copyright © 2019 by ASME
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