A Novel Double Dynamic Stress Accelerated Degradation Test to Evaluate Power Fade of Batteries for Electric Vehicles

Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 234)


High-power lithium-ion batteries are being deployed in various transportation carriers such as hybrid, plug-in, or full electric vehicles recently. Power fade of lithium cells regarding temperature and charging and discharging rates are being the significant barrier that mitigates its widespread commercialization in the electric vehicle market. A novel double dynamic stress accelerated degradation test (D2SADT) taking an advantage of closing the real driving conditions is developed to reduce the prediction error. The test contains two dynamic stress factors, temperature and cell charging and discharging currents, by which is implemented simultaneously. The test results show that the D2SADT is capable of accelerating the battery degradation where the power of the test cell decreases near 10% after 18 temperature cycles and 900 dynamic cell charging and discharging cycles. Compared to the traditional constant stress test, D2SADT represents more realistic and efficient to evaluate the power fade of batteries used in the electric vehicles.


Accelerated degradation test Power fade Temperature cycling Dynamic stress test 


  1. 1.
    Kumaresan K, White R (2008) Parameter estimation and life modeling of lithium-ion cells. J Electrochem Soc 155(4):A345–A353CrossRefGoogle Scholar
  2. 2.
    Thomas EV, Case H, Doughty D, Jungst R, Nagasubramanian G, Roth E (2003) Accelerated power degradation of Li-ion cells. J Power Source 124(1):254–260CrossRefGoogle Scholar
  3. 3.
    Spotnitz R (2003) Simulation of capacity fade in lithium-ion batteries. J Power Source 113(1):72–80CrossRefGoogle Scholar
  4. 4.
    Ramadass P, Haran B, White RE, Popov BN (2003) Mathematical modeling of the capacity fade of Li-ion cells. J Power Source 123(2):230–240CrossRefGoogle Scholar
  5. 5.
    Christensen J, Newman J (2003) Effect of anode film resistance on the charge/discharge capacity of a lithium-ion battery. J Electrochem Soc 150(11):A1416–A1420CrossRefGoogle Scholar
  6. 6.
    Doyle M, Fuller TF, Newman J (1993) Modeling of galvanostatic charge and discharge of the lithium/polymer/insertion cell. J Electrochem Soc 140(6):1526–1533CrossRefGoogle Scholar
  7. 7.
    Ning G, White R, Popov B (2006) A generalized cycle life model of rechargeable Li-ion batteries. Electrochim Acta 51(10):2012–2022CrossRefGoogle Scholar
  8. 8.
    Tarascon J, Armand M (2001) Issues and challenges facing rechargeable lithium batteries. Nature 414:359–367CrossRefGoogle Scholar
  9. 9.
    Ramadass P, Haran B, Gomadam P, White R, Popov B (2004) Development of first principles capacity fade model for Li-ion cells. J Electrochem Soc 151(2):A196–A203CrossRefGoogle Scholar
  10. 10.
    Rong P, Pedram M (2006) An analytical model for predicting the remaining battery capacity of Lithium-ion batteries. IEEE Trans VLSI Syst 14(5):441–451CrossRefGoogle Scholar
  11. 11.
    Oldham H, Myland J (1994) Fundamentals of electrochemical science. Academic, San DiegoGoogle Scholar
  12. 12.
    Newman JS (1991) Electrochemical systems, 2nd edn. Prentice-Hall, Englewood CliffsGoogle Scholar
  13. 13.
    Gu WB, Wang CY (2000) Thermal and electrochemical coupled modeling of a lithium-ion cell in lithium batteries. Proc ECS 99–25:748–762Google Scholar
  14. 14.
    Chueh-Chien Shiao, Kuan-Jung Chung (2012) Accelerated degradation assessment of 18650 Li-ion batteries. In: Proceedings of IEEE 2012 international symposium on computer, consumer, and control, Taichung, 4–6 June 2012, pp 930–933Google Scholar

Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  • Yu-Chang Lin
    • 1
  • Kuan-Jung Chung
    • 1
  • Chueh-Chien Hsiao
    • 1
  1. 1.Department of Mechatronics EngineeringNational Changhua University of EducationChanghuaTaiwan

Personalised recommendations