Abstract
A battery management system (BMS) is an embedded system for monitoring and controlling complex battery systems in high-tech goods, such as electric vehicles or military communication devices. BMSs are often designed for simplicity and cost efficiency, storing few crucial data on the condition of batteries. With an increasing trend to reuse batteries, BMSs face a need to implement additional functionality to support decision-making tasks. This functionality requires rich data on the structure, usage history, and condition of a battery that is not supported by current BMS type series. Based on expert interviews and document analyses, we sketch a design theory for implementing BMSs that supply the data required for making decisions on how to best reuse battery systems.
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References
Winter, M., Brodd, R.J.: What are batteries, fuel cells, and supercapacitors? Chem. Rev. 104, 4245–4269 (2004)
Dinger, A., Martin, R., Mosquet, X., Rabl, M., Rizoulis, D., Russo, M., Sticher, G.: Batteries for Electric Cars Challanges, Opportunities, and the Outlook to 2020. Technical Report, The Boston Consulting Group (2010)
Herb, F.: Alterungsmechanismen in Lithium-Ionen-Batterien und PEM-Brennstoffzellen und deren Einfluss auf die Eigenschaften von daraus bestehenden Hybrid-Systemen. Dissertation, University of Ulm (2010)
Neubauer, J., Pesaran, A.: The ability of battery second use strategies to impact plug-in electric vehicle prices and serve utility energy storage applications. J. Power Sources 196, 10351–10358 (2011)
Sachenbacher, M., Mayer, T., Leucker, M., Brand, M., Jossen, A.: Towards 2nd-Life Application of Lithium-Ion Batteries for Stationary Energy Storage in Photovoltaic Systems. In: Proceedings of the International Conference on Solar Energy for MENA Region (INCOSOL), Amman, Jordan, pp. 22–23 (2012)
Han, X., Ouyang, M., Lu, L., Li, J., Zheng, Y., Li, Z.: A comparative study of commercial lithium ion battery cycle life in electrical vehicle: Aging mechanism identification. J. Power Sources 251, 38–54 (2014)
Schlick, T., Hertel, G., Hagemann, B., Maiser, E., Kramer, M.: Zukunftsfeld Elektromobilität–Chancen und Herausforderungen für den deutschen Maschinen-und Anlagenbau. Roland Berger Stragey Consultants VDMA, n/s (2011)
Amirault, J., Chien, J., Garg, S., Gibbons, D., Ross, B., Tang, M., Xing, J., Sidhu, I., Kaminsky, P., Tenderich, B.: The Electric Vehicle Battery Landscape: Opportunities and Challenges (2009), http://www.funginstitute.berkeley.edu/sites/default/files/TheElectricVehicleBatteryLandscape-OpportunitiesandChallenges.pdf
Bitsche, O., Gutmann, G.: Systems for hybrid cars. J. Power Sources 127, 8–15 (2004)
Barré, A., Deguilhem, B., Grolleau, S., Gérard, M., Suard, F., Riu, D.: A review on lithium-ion battery ageing mechanisms and estimations for automotive applications. J. Power Sources 241, 680–689 (2013)
Rezvanizaniani, S.M., Liu, Z., Chen, Y., Lee, J.: Review and recent advances in battery health monitoring and prognostics technologies for electric vehicle (EV) safety and mobility. J. Power Sources 256, 110–124 (2014)
Baumhöfer, T., Brühl, M., Rothgang, S., Uwe, D.: Production caused variation in capacity aging trend and correlation to initial cell performance. J. Power Sources 247, 332–338 (2014)
Young, K., Wang, C., Wang, L.Y., Strunz, K.: Electric Vehicle Battery Technologies. In: Garcia-Valle, R., Peças Lopes, J.A. (eds.) Electric Vehicle Integration into Modern Power Networks, pp. 15–56. Springer, New York (2013)
Brand, M., Quinger, D., Walder, G.: Ageing inhomogeneity of long-term used BEV-batteries and their reusability for 2nd-life applications. EVS 26, 1–7 (2012)
Camposano, R., Wilberg, J.: Embedded system design. Des. Autom. Embed. Syst. 1, 5–50 (1996)
Waag, W., Fleischer, C., Sauer, D.U.: Critical review of the methods for monitoring of lithium-ion batteries in electric and hybrid vehicles. J. Power Sources 258, 321–339 (2014)
Jossen, A., Spath, V., Doring, H.: Reliable battery operation — a challenge for the battery management system. J. Power Sources 84, 283–286 (1999)
Meissner, E., Richter, G.: Battery Monitoring and Electrical Energy Management. J. Power Sources 116, 79–98 (2003)
Bergveld, H.J.: Battery Management Systems Design by Modelling. Dissertation, University of Twente (2001).
Xing, Y., Ma, E.W.M., Tsui, K.L., Pecht, M.: Battery Management Systems in Electric and Hybrid Vehicles. Energies 4, 1840–1857 (2011)
Chatzakis, J., Kalaitzakis, K., Voulgaris, N.C., Manias, S.N.: Designing a New Generalized Battery Management System. Trans. Ind. Electron. 50, 990–999 (2003)
Fecher, D.B.: Wireless monitoring of battery for lifecycle management. Patent, US20120038473A1, USA (2012)
Chalk, S.G., Miller, J.F.: Key challenges and recent progress in batteries, fuel cells, and hydrogen storage for clean energy systems. J. Power Sources 159, 73–80 (2006)
Simon, H.A.: The sciences of the artificial. MIT Press, Cambridge (1996)
Gregor, S.: The Nature of Theory in Information Systems. MIS Q. 30, 611–642 (2006)
Gregor, S., Jones, D.: The Anatomy of a Design Theory. J. Assoc. Inf. Syst. 8, 312–335 (2007)
Meissner, E., Richter, G.: Battery Monitoring and Electrical Energy Management. J. Power Sources 116, 79–98 (2003)
Sagstetter, F., Lukasiewycz, M., Steinhorst, S., Wolf, M., Bouard, A., Harris, W.R., Jha, S., Peyrin, T., Poschmann, A., Chakraborty, S.: Security Challenges in Automotive Hardware/Software Architecture Design. In: Design, Automation & Test in Europe Conference & Exhibition (DATE), pp. 458–463. IEEE Conference Publications, New Jersey (2013)
Pop, V., Bergveld, H.J., Danilov, D., Regtien, P.P.L., Notten, P.H.L.: Battery Management Systems - Accurate State-of-Charge Indication for Battery-Powered Applications. Springer (2008)
Simon, H.A.: The new science of management decision. Prentice Hall, Englewood Cliffs (1977)
Saha, B., Goebel, K., Christophersen, J.: Comparison of prognostic algorithms for estimating remaining useful life of batteries. Trans. Inst. Meas. Control. 31, 293–308 (2009)
Gregor, S., Hevner, A.R.: Positioning and Presenting Design Science Research for Maximum Impact. MIS Q. 37, 337–356 (2013)
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Monhof, M., Beverungen, D., Klör, B., Bräuer, S. (2015). Extending Battery Management Systems for Making Informed Decisions on Battery Reuse. In: Donnellan, B., Helfert, M., Kenneally, J., VanderMeer, D., Rothenberger, M., Winter, R. (eds) New Horizons in Design Science: Broadening the Research Agenda. DESRIST 2015. Lecture Notes in Computer Science(), vol 9073. Springer, Cham. https://doi.org/10.1007/978-3-319-18714-3_37
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DOI: https://doi.org/10.1007/978-3-319-18714-3_37
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