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Energy management of a hybrid system based on a fuel cell and a Lithium Ion battery: Experimental tests and integrated optimal design

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  • Jaafar, A.
  • Turpin, C.
  • Roboam, X.
  • Bru, E.
  • Rallieres, O.

Abstract

The optimal design of multisource systems, hybrid systems in particular, requires an adequate choice of the energy management strategy. This latter usually impacts source sizing and lifetime. The present paper deals with an energy management approach based on a frequency sharing of the mission. Firstly, the limits of a symmetric frequency energy management are presented in the case of a hybrid system associating a fuel cell with a Li-Ion battery. Subsequently, an original energy “asymmetric” management strategy for the optimal sizing of this association is presented. This strategy is then tested on the “Hydrogen” platform at the LAPLACE research laboratory. Finally, the two energy management strategies are compared in the context of an integrated design by optimization; the asymmetric strategy offers significant gains in terms of system weight, which is important for embedded applications.

Suggested Citation

  • Jaafar, A. & Turpin, C. & Roboam, X. & Bru, E. & Rallieres, O., 2017. "Energy management of a hybrid system based on a fuel cell and a Lithium Ion battery: Experimental tests and integrated optimal design," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 131(C), pages 21-37.
    • Handle: RePEc:eee:matcom:v:131:y:2017:i:c:p:21-37
    DOI: 10.1016/j.matcom.2016.01.007
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    References listed on IDEAS

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    1. Mariani, R. Rigo & Lacressonniere, F. & Fontes, G. & Roboam, X., 2013. "Design of a medium voltage power converter-storage devices embedded in a hybrid emergency network for more electrical aircraft," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 91(C), pages 72-90.
    2. Belouda, M. & Jaafar, A. & Sareni, B. & Roboam, X. & Belhadj, J., 2013. "Integrated optimal design and sensitivity analysis of a stand alone wind turbine system with storage for rural electrification," Renewable and Sustainable Energy Reviews, Elsevier, vol. 28(C), pages 616-624.
    3. Ménard, Laurianne & Fontès, Guillaume & Astier, Stéphan, 2010. "Dynamic energy model of a lithium-ion battery," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 81(2), pages 327-339.
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    Cited by:

    1. Sulaiman, N. & Hannan, M.A. & Mohamed, A. & Ker, P.J. & Majlan, E.H. & Wan Daud, W.R., 2018. "Optimization of energy management system for fuel-cell hybrid electric vehicles: Issues and recommendations," Applied Energy, Elsevier, vol. 228(C), pages 2061-2079.
    2. Ma, Shuai & Lin, Meng & Lin, Tzu-En & Lan, Tian & Liao, Xun & Maréchal, François & Van herle, Jan & Yang, Yongping & Dong, Changqing & Wang, Ligang, 2021. "Fuel cell-battery hybrid systems for mobility and off-grid applications: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).

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