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A multi-level energy management system for multi-source electric vehicles – An integrated rule-based meta-heuristic approach

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  • Trovão, João P.
  • Pereirinha, Paulo G.
  • Jorge, Humberto M.
  • Antunes, Carlos Henggeler

Abstract

In this paper, an integrated rule-based meta-heuristic optimization approach is used to deal with a multi-level energy management system for a multi-source electric vehicle for sharing energy and power between two sources with different characteristics, namely one with high specific energy (battery) and other with high specific power (SuperCapacitors). A first (long-term) management level dynamically restricts the search space based on a set of rules (strategic decisions). A second (short-term) management level implements the optimization strategy based on a meta-heuristic technique (tactical decisions). The solutions to the optimal power sharing problem are be used to generate the power references for a lower (operational) level DC–DC converters controller. The Simulated Annealing meta-heuristic is used to define an optimized energy and power share without prior knowledge of power demand. The proposed scheme has been simulated in Matlab®, with models of energy sources for several driving cycles. Illustrative results show the effectiveness of this multi-level energy management system allowing to fulfill the requested performance with better source usage and much lower installed capacities.

Suggested Citation

  • Trovão, João P. & Pereirinha, Paulo G. & Jorge, Humberto M. & Antunes, Carlos Henggeler, 2013. "A multi-level energy management system for multi-source electric vehicles – An integrated rule-based meta-heuristic approach," Applied Energy, Elsevier, vol. 105(C), pages 304-318.
    • Handle: RePEc:eee:appene:v:105:y:2013:i:c:p:304-318
    DOI: 10.1016/j.apenergy.2012.12.081
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    References listed on IDEAS

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    1. Bizon, Nicu, 2012. "Energy efficiency of multiport power converters used in plug-in/V2G fuel cell vehicles," Applied Energy, Elsevier, vol. 96(C), pages 431-443.
    2. Tang, Yong & Yuan, Wei & Pan, Minqiang & Wan, Zhenping, 2011. "Experimental investigation on the dynamic performance of a hybrid PEM fuel cell/battery system for lightweight electric vehicle application," Applied Energy, Elsevier, vol. 88(1), pages 68-76, January.
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