Skip to main content

Capacity fade model of Lithium-ion batteries for Practical use

  • Conference paper
  • First Online:
Improving Complex Systems Today

Part of the book series: Advanced Concurrent Engineering ((ACENG))

  • 2171 Accesses

Abstract

Lithium-ion (Li-ion) batteries are essential components for electric vehicles and smart grid systems that will become increasingly widespread in the future. However, the complexity of the capacity fade mechanism of Li-ion batteries has been a technical barrier to their practical use. This study proposes a capacity fade model composed of three factors: capacity loss, increase in internal resistance, and diffusion effect. The model derives sufficient information from battery data and conditions of use for evaluating and predicting capacity fade. The battery data includes discharge curves and electrode materials. The conditions of use are elements correlated to the three factors listed above and include the number of cycles and storage time. This paper discusses the availability of our proposed model by applying it to Li-ion battery data obtained from reference papers.

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 169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover 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. J. Shim, R. Kostecki, T. Richardson, X. Song, K.A. Striebel: Electrochemical analysis for cycle performance and capacity fading of a lithium-ion battery cycled at elevated temperature, Journal of Power Sources 112 (2002) 222–230

    Article  Google Scholar 

  2. M. Shikano, H. Kobayashi, S. Koike, H. Sakabe, E. Ikenaga, K. Kobayashi, K. Tatsumi: Investigation of positive electrodes after cycle testing of high-power Li-ion battery cells II An approach to the power fading mechanism using hard X-ray photoemission spectroscopy, Journal of Power Sources 174 (2007) 795–799.

    Article  Google Scholar 

  3. A.P. Schmidt, M. Bitzer, Á.W. Imre, L. Guzzella: Model-based distinction and quantification of capacity loss and rate capability fade in Li-ion batteries, Journal of Power Sources 195 (2010) 7634–7638.

    Article  Google Scholar 

  4. N.A. Chaturvedi, R. Klein, J. Christensen, J. Ahmed, A. Kojic: Modeling, estimation, and control challenges for lithium-ion batteries, American Control Conference (2010) 1997–2002.

    Google Scholar 

  5. P. Ramadass, B. Haran, R. White, B.N. Popov: Capacity fade of Sony 18650 cells cycled at elevated temperatures Part II. Capacity fade analysis, Journal of Power Sources 112 (2002) 614–622.

    Article  Google Scholar 

  6. P. Ramadass, B. Haran, R. White, B.N. Popov: Mathematical modeling of the capacity fade of Li-ion cells, Journal of Power Sources 123 (2003) 230–240.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Wataru Imamura .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag London Limited

About this paper

Cite this paper

Imamura, W., Eda, N., Tanaka, K., Horie, H., Akimoto, H. (2011). Capacity fade model of Lithium-ion batteries for Practical use. In: Frey, D., Fukuda, S., Rock, G. (eds) Improving Complex Systems Today. Advanced Concurrent Engineering. Springer, London. https://doi.org/10.1007/978-0-85729-799-0_52

Download citation

  • DOI: https://doi.org/10.1007/978-0-85729-799-0_52

  • Published:

  • Publisher Name: Springer, London

  • Print ISBN: 978-0-85729-798-3

  • Online ISBN: 978-0-85729-799-0

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics