Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Perspective
  • Published:

Safety modelling and testing of lithium-ion batteries in electrified vehicles

Abstract

To optimize the safety of batteries, it is important to understand their behaviours when subjected to abuse conditions. Most early efforts in battery safety modelling focused on either one battery cell or a single field of interest such as mechanical or thermal failure. These efforts may not completely reflect the failure of batteries in automotive applications, where various physical processes can take place in a large number of cells simultaneously. In this Perspective, we review modelling and testing approaches for battery safety under abuse conditions. We then propose a general framework for large-scale multi-physics modelling and experimental work to address safety issues of automotive batteries in real-world applications. In particular, we consider modelling coupled mechanical, electrical, electrochemical and thermal behaviours of batteries, and explore strategies to extend simulations to the battery module and pack level. Moreover, we evaluate safety test approaches for an entire range of automotive hardware sets from cell to pack. We also discuss challenges in building this framework and directions for its future development.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Fig. 1: Summary of the coupling scheme in the proposed multi-physics model.
Fig. 2: Simulated response of a pouch cell under mechanical impact induced by a cylindrical indenter.
Fig. 3: Example results of battery overcharge abuse tests.

Similar content being viewed by others

References

  1. Fotouhi, A. et al. A review on electric vehicle battery modelling: From Lithium-ion toward Lithium-Sulphur. Renew. Sust. Energ. Rev. 56, 1008–1021 (2016).

    Article  Google Scholar 

  2. Abada, A. et al. Safety focused modeling of lithium-ion batteries: A review. J. Power Sources 306, 178–192 (2016).

    Article  Google Scholar 

  3. Deng, D. Li-ion batteries: basics, progress, and challenges. Energ. Sci. Eng. 3, 385–418 (2015).

    Article  Google Scholar 

  4. Bandhauer, T., Garimella, S. & Fuller, T. A critical review of thermal issues in lithium-ion batteries. J. Electrochem. Soc. 158, R1–R25 (2011).

    Article  Google Scholar 

  5. Wang, Q. et al. A critical review of thermal management models and solutions of lithium-ion batteries for the development of pure electric vehicles. Renew. Sust. Energ. Rev. 64, 106–128 (2016).

    Article  Google Scholar 

  6. Xia, B. et al. Multiple cell lithium-ion battery system electric fault online diagnostics. In Transportation Electrification Conference and Expo (ITEC) 1–7 (IEEE, 2015).

  7. Balakrishnan, P., Ramesh, R. & Kumar, T. Safety mechanisms in lithium-ion batteries. J. Power Sources 155, 401–414 (2006).

    Article  Google Scholar 

  8. Doughty, D. & Roth, E. A general discussion of Li ion battery safety. Electrochem. Soc. Inter. 21, 37–44 (2012).

    Article  Google Scholar 

  9. Hatchard, T. et al. Thermal model of cylindrical and prismatic lithium-ion cells. J. Electrochem. Soc. 148, A755–A761 (2001).

    Article  Google Scholar 

  10. Roth, E. & Doughty, D. Thermal abuse performance of high-power 18650 Li-ion cells. J. Power Sources 128, 308–318 (2004).

    Article  Google Scholar 

  11. Finegan, D. et al. In-operando high-speed tomography of lithium-ion batteries during thermal runaway. Nat. Commun. 6, 6924 (2015).

    Article  Google Scholar 

  12. Smith, K. et al. Thermal/electrical modeling for abuse-tolerant design of lithium ion modules. Int. J. Energy Res. 34, 204–215 (2010).

    Article  Google Scholar 

  13. Ramadass, P., Fang, W. & Zhang, Z. Study of internal short in a Li-ion cell I. Test method development using infra-red imaging technique. J. Power Sources 248, 769–776 (2014).

    Article  Google Scholar 

  14. Orendorff, C., Roth, E. & Nagasubramanian, G. Experimental triggers for internal short circuits in lithium-ion cells. J. Power Sources 196, 6554–6558 (2011).

    Article  Google Scholar 

  15. Cai, W. et al. Experimental simulation of internal short circuit in Li-ion and Li-ion-polymer cells. J. Power Sources 196, 7779–7783 (2011).

    Article  Google Scholar 

  16. Yoshida, T. et al. Safety performance of large and high-power lithium-ion batteries with manganese spinel and meso carbon fiber. Electrochem. Solid State Lett. 10, A60–A64 (2007).

    Article  Google Scholar 

  17. Zeng, Y. et al. Overcharge investigation of lithium-ion polymer batteries. J. Power Sources 160, 1302–1307 (2006).

    Article  Google Scholar 

  18. Maleki, H. & Howard, J. Effects of overdischarge on performance and thermal stability of a Li-ion cell. J. Power Sources 160, 1395–1402 (2006).

    Article  Google Scholar 

  19. Maleki, H. & Howard, J. Internal short circuit in Li-ion cells. J. Power Sources 191, 568–574 (2009).

    Article  Google Scholar 

  20. Feng, X. et al. Characterization of penetration induced thermal runaway propagation process within a large format lithium ion battery module. J. Power Sources 275, 261–273 (2015).

    Article  Google Scholar 

  21. Cai, L. & White, R. Mathematical modeling of a lithium ion battery with thermal effects in COMSOL Inc. Multiphysics (MP) software. J. Power Sources 196, 5985–5989 (2011).

    Article  Google Scholar 

  22. Kim, G. et al. Multi-domain modeling of lithium-ion batteries encompassing multi-physics in varied length scales. J. Electrochem. Soc. 158, A955–A969 (2011).

    Article  Google Scholar 

  23. Gerver, R. & Meyers, J. Three-dimensional modeling of electrochemical performance and heat generation of lithium-ion tabbed planar configurations. J. Electrochem. Soc. 158, A835–A843 (2011).

    Article  Google Scholar 

  24. Guo, M. & White, R. A distributed thermal model for a Li-ion electrode plate pair. J. Power Sources 221, 334–344 (2013).

    Article  Google Scholar 

  25. Doyle, M., Fuller, T. & Newman, J. Modeling of galvanostatic charge and discharge of the lithium/polymer/insertion cell. J. Electrochem. Soc. 140, 1526–1533 (1993).

    Article  Google Scholar 

  26. Fuller, T., Doyle, M. & Newman, J. Simulation and optimization of the dual lithium ion insertion cell. J. Electrochem. Soc. 141, 1–10 (1994).

    Article  Google Scholar 

  27. Fang, W., Ramadass, P. & Zhang, Z. Study of internal short in a Li-ion cell – II. Numerical investigation using a 3D electrochemical-thermal model. J. Power Sources 248, 1090–1098 (2014).

    Article  Google Scholar 

  28. Chui, K. et al. An electrochemical modeling of lithium-ion battery nail penetration. J. Power Sources 251, 254–263 (2014).

    Article  Google Scholar 

  29. Zhao, W., Luo, G. & Wang, C. Modeling nail penetration process in large-format Li-ion cells. J. Electrochem. Soc. 162, A207–A217 (2015).

    Article  Google Scholar 

  30. Sahraei, E., Campbell, J. & Wierzbicki, T. Modeling and short circuit detection of 18650 Li-ion cells under mechanical abuse conditions. J. Power Sources 220, 360–372 (2012).

    Article  Google Scholar 

  31. Greve, L. & Fehrenbach, C. Mechanical testing and macro-mechanical finite element simulation of the deformation, fracture, and short circuit initiation of cylindrical lithium ion battery cells. J. Power Sources 214, 377–385 (2012).

    Article  Google Scholar 

  32. Avdeev, I. & Gilaki, M. Structural analysis and experimental characterization of cylindrical lithium-ion battery cells subject to lateral impact. J. Power Sources 271, 382–391 (2014).

    Article  Google Scholar 

  33. Zhang, C. et al. Coupled mechanical-electrical-thermal modeling for short-circuit prediction in a lithium-ion cell under mechanical abuse. J. Power Sources 290, 102–113 (2015).

    Article  Google Scholar 

  34. Zhang, C. et al. A representative-sandwich model for simultaneously coupled mechanical-electrical-thermal simulation of a lithium-ion cell under quasi-static indentation tests. J. Power Sources 298, 309–321 (2015).

    Article  Google Scholar 

  35. Hu, X., Li, S. & Peng, H. A comparative study of equivalent circuit models for Li-ion batteries. J. Power Sources 198, 359–367 (2012).

    Article  Google Scholar 

  36. Shabani, B. & Biju, M. Theoretical modelling methods for thermal management of batteries. Energies 8, 10153–10177 (2015).

    Article  Google Scholar 

  37. Spotnitz, R. & Franklin, J. Abuse behavior of high-power, lithium-ion cells. J. Power Sources 113, 81–100 (2003).

    Article  Google Scholar 

  38. Hatchard, T. et al. Importance of heat transfer by radiation in Li-ion batteries during thermal abuse. Electrochem. Solid State Lett. 3, 305–308 (2000).

    Article  Google Scholar 

  39. Marcicki, J. et al. A simulation framework for battery cell impact safety modeling using LS-DYNA. J. Electrochem. Soc. 164, A6440–A6448 (2017).

    Article  Google Scholar 

  40. Eplattenier, P., Bateau-Meyer, S. & Caldichoury, I. Battery abuse simulations using LS-DYNA. In 11th European LS-DYNA Conference (DYNAmore, 2017).

  41. Zhang, J. et al. Simultaneous estimation of thermal parameters for large-format laminated lithium-ion batteries. J. Power Sources 259, 106–116 (2014).

    Article  Google Scholar 

  42. Eplattenier, P. et al. A distributed randle circuit model for battery abuse simulations using LS-DYNA. In 14th International LS-DYNA Users Conference (DYNAmore, 2016).

  43. Volkanovski, A., Cepin, M. & Mavko, B. Application of the fault tree analysis for assessment of power system reliability. Reliab. Eng. Syst. Saf. 94, 1116–1127 (2009).

    Article  Google Scholar 

  44. Doughty, D. & Crafts, C. FreedomCAR Electrical Energy Storage System Abuse Test Manual for Electric and Hybrid Electric Vehicle Applications (Sandia National Laboratories, 2006).

  45. Zhang, C. et al. Constitutive behavior and progressive mechanical failure of electrodes in lithium-ion batteries. J. Power Sources 357, 126–137 (2017).

    Article  Google Scholar 

  46. Zhang, X., Sahraei, E. & Wang, K. Li-ion battery separators, mechanical integrity and failure mechanisms leading to soft and hard internal shorts. Sci. Rep. 6, 32578 (2016).

    Article  Google Scholar 

  47. Sheidaei, A. et al. Mechanical behavior of a battery separator in electrolyte solutions. J. Power Sources 196, 8728–8734 (2011).

    Article  Google Scholar 

  48. Gor, G. et al. A model for the behavior of battery separators in compression at different strain/charge rates. J. Electrochem. Soc. 161, F3065–F3071 (2014).

    Article  Google Scholar 

  49. Sahraei, E. et al. Microscale failure mechanisms leading to internal short circuit in Li-ion batteries under complex loading scenarios. J. Power Sources 319, 56–65 (2016).

    Article  Google Scholar 

Download references

Acknowledgements

This work is supported by US Department of Transportation National High Traffic Safety Administration (NHTSA) under contract DTNH22-11-C-00214 and by the Vehicle Technologies Office, Office of Energy Efficiency and Renewable Energy, US Department of Energy under DOE Agreement DE-EE0007288.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jie Deng.

Ethics declarations

Competing interests

The authors declare no competing interests.

Additional information

Publisher's note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Deng, J., Bae, C., Marcicki, J. et al. Safety modelling and testing of lithium-ion batteries in electrified vehicles. Nat Energy 3, 261–266 (2018). https://doi.org/10.1038/s41560-018-0122-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/s41560-018-0122-3

This article is cited by

Search

Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing