Overpotential-Based Battery End-of-Life Indication in WSN Nodes

  • Thomas Menzel
  • Adam Wolisz
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 122)


Indicating the imminent battery depletion of wireless sensor nodes is beneficial for many applications. But corresponding depth of discharge estimation approaches are either complex, constraint or rather imprecise. We present, implement and evaluate a novel approach which is to observe the battery’s overpotential - the change of the voltage under a load in comparison to the unloaded battery - which increases toward the end of a battery’s lifetime. Experimental evidence that the battery’s overpotential is a better “end-of-life” indicator than the commonly used operating voltage is provided. Also, it does neither require any additional circuitry in typical sensor nodes nor significant processing overhead.


Battery Overpotential WSN End-of-Life Indication Estimation 


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  1. 1.
  2. 2.
    Buchli, B., Aschwanden, D., Beutel, J.: Battery state-of-charge approximation for energy harvesting embedded systems. In: Demeester, P., Moerman, I., Terzis, A. (eds.) EWSN 2013. LNCS, vol. 7772, pp. 179–196. Springer, Heidelberg (2013)CrossRefGoogle Scholar
  3. 3.
    Bergveld, H.J.: Battery management systems: design by modelling. Ph.D. thesis, University of Twente, Enschede (June 2001)Google Scholar
  4. 4.
    Chiasserini, C.F., Rao, R.R.: Improving battery performance by using traffic shaping techniques. IEEE Journal on Selected Areas in Communications 19(7), 1385–1394 (2001)CrossRefGoogle Scholar
  5. 5.
  6. 6.
    Doyle, M., Fuller, T.F., Newman, J.: Modeling of galvanostatic charge and discharge of the lithium/polymer/insertion cell. Journal of the Electrochemical Society 140(6), 1526–1533 (1993)CrossRefGoogle Scholar
  7. 7.
  8. 8.
  9. 9.
    Jossen, A., Weydanz, W.: Moderne Akkumulatoren richtig einsetzen. Inge Reichardt Verlag, Untermeitingen (2006)Google Scholar
  10. 10.
    Maxim Integrated: Datasheet max17047/max17050 modelgauge m3 fuel gaugeGoogle Scholar
  11. 11.
    Menzel, T., Willkomm, D., Wolisz, A.: Improving battery-efficiency of embedded devices by favorably discharging only towards end-of-life. In: Proc. of the CONET 2011 Workshop, Chicago, USA (April 2011)Google Scholar
  12. 12.
  13. 13.
    Pop, V., Bergveld, H., Danilov, D., Regtien, P., Notten, P.: Battery Management Systems: Accurate State-of-Charge Indication for Battery-Powered Applications. Philips Research Book Series 9. Springer, London (2008)Google Scholar
  14. 14.
    Pop, V., Bergveld, P., Het Veld, J.H.G.O., Regtien, P.P.L., Danilov, D., Notten, P.H.L.: Modeling battery behavior for accurate state-of-charge indication. Journal of the Electrochemical Society 153, A2013–A2022 (2006)Google Scholar
  15. 15.
    Rakhmatov, D., Vrudhula, S., Wallach, D.A.: Battery lifetime prediction for energy-aware computing. In: ISLPED 2002: Proceedings of the 2002 International Symposium on Low Power Electronics and Design, pp. 154–159. ACM Press, New York (2002)Google Scholar
  16. 16.
    Reddy, T.B., Linden, D. (eds.): Linden’s Handbook of Batteries, 4th edn. McGraw-Hill (2010)Google Scholar
  17. 17.
  18. 18.
    Tadiran Batteries GmbH: Tadiran Lithium Batteries, Technical BrochureGoogle Scholar
  19. 19.
  20. 20.
  21. 21.
    Wen, Y., Wolski, R., Krintz, C.: Online prediction of battery lifetime for embedded and mobile devices. In: Falsafi, B., VijayKumar, T.N. (eds.) PACS 2003. LNCS, vol. 3164, pp. 57–72. Springer, Heidelberg (2004)CrossRefGoogle Scholar
  22. 22.
    Ye, C.K.: Application-level prediction of battery dissipation,
  23. 23.
    Yu, M., Barsukov, Y., Vega, M.: Theory and implementation of impedance track battery fuel-gauging algorithm in bq2750x family. Tech. rep., Texas Instruments Incorporated (2008)Google Scholar

Copyright information

© ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering 2013

Authors and Affiliations

  • Thomas Menzel
    • 1
  • Adam Wolisz
    • 1
  1. 1.Telecommunication Networks GroupTU BerlinBerlinGermany

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