A better alternative to dynamic programming for offline energy optimization in hybrid-electric vehicles

Abstract : This article focusses on the well-known problem of energy management for hybrid-electric vehicles. Although researches on this problem have recently intensified. Dynamic programming (DP) is still considered as the reference method because it obtains the best solutions of the literature so far, even though it requires a significant computational time. This article however, describes two heuristic-global-optimization-based algorithms that not only require less computational time than DP, but also produce better solutions, with significantly lower fuel consumption cost.
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Communication dans un congrès
11th International Workshop of Electronics, Control, Measurement, Signals and their application to Mechatronics (ECMSM), Jun 2013, Toulouse, France. pp. 1-2, 2013
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Dernière modification le : samedi 27 octobre 2018 - 01:25:16
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  • HAL Id : hal-01178570, version 1
  • OATAO : 13010

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Mouloud Guemri, Sandra Ulrich Ngueveu, Stéphane Caux, Frédéric Messine. A better alternative to dynamic programming for offline energy optimization in hybrid-electric vehicles. 11th International Workshop of Electronics, Control, Measurement, Signals and their application to Mechatronics (ECMSM), Jun 2013, Toulouse, France. pp. 1-2, 2013. 〈hal-01178570〉

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