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


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
Your Session has timed out. Please sign back in to continue.





Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related Journal Articles
Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In