Skip to main content

Simulation Analysis of Heat Transfer of Power Battery

  • Conference paper
Artificial Intelligence and Computational Intelligence (AICI 2011)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7002))

  • 2367 Accesses

Abstract

Based on the model of battery temperature rising established, several kinds of temperature rising processes are analyzed by means of numerical simulation including heat dissipation by natural convection without fin or with fin and forced convection with fin. The comparison and analysis are made for temperature rising process about their temperatures of center and across section plane. It shows that from the results, with the increasing of discharging ratio, the temperature rising and temperature difference of power batter will increase obviously. It is effective to reduce temperature rising by means of forced air convection, but the temperature difference will still keep a big value and with a poor effect. Here it is proposed to decrease the temperature difference both with fin and forced air convection.

Foundation Program: Natural Science Foundation of Shanghai-08ZR1419900.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Khateeb, S.A., Farid, M.M., Selman, J.R., et al.: Design and simulation of a lithium-ion battery with a phase change material thermal management system for an electric cooler. Journal of Power Sources 128(2), 292–307 (2004)

    Article  Google Scholar 

  2. Pals, C.R., Newman, J.: Thermal modeling of the lithium/polymer battery. Journal of the Electrochemical Society 142, 3274 (1995)

    Article  Google Scholar 

  3. Al Hallaj, S., Maleki, H., Hong, J., et al.: Thermal modeling and design considerations of lithium-ion batteries. Journal of Power Sources 83(1-2), 1–8 (1999)

    Article  Google Scholar 

  4. Chen, S., Wan, C., Wang, Y.: Thermal analysis of lithium-ion batteries. Journal of Power Sources 140(1), 111–124 (2005)

    Article  Google Scholar 

  5. Chen, Y., Evans, J.W.: Thermal analysis of lithium polymer electrolyte batteries by a two dimensional model-thermal behavior and design optimization. Electro-chemical Acta 39(4), 517–526 (1994)

    Article  Google Scholar 

  6. Hatchard, T., MacNeil, D., Basu, A.: Thermal model of cylindrical and prismatic lithium-ion cells. Journal of the Electrochemical Society 148, A755 (2001)

    Article  Google Scholar 

  7. Verbrugge, M.W., Conell, R.S.: Electro chemical and thermal characterization of battery modules commensurate with electric vehicle integration. Journal of the Electrochemical Society 149, A45 (2002)

    Article  Google Scholar 

  8. Wang, C., Srinivasan, V.: Computational battery dynamics (CBD)–electrochemical/thermal coupled modeling and multi-scale modeling. Journal of Power Sources 110(2), 364–376 (2002)

    Article  Google Scholar 

  9. Rahman, M., Shuttleworth, R.: Thermoelectric power generation for battery charging, pp. 186–191. IEEE, Los Alamitos (2002)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Li, M., Wang, F. (2011). Simulation Analysis of Heat Transfer of Power Battery. In: Deng, H., Miao, D., Lei, J., Wang, F.L. (eds) Artificial Intelligence and Computational Intelligence. AICI 2011. Lecture Notes in Computer Science(), vol 7002. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23881-9_25

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-23881-9_25

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23880-2

  • Online ISBN: 978-3-642-23881-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics