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

Mouloud Guemri (1) , Sandra Ulrich Ngueveu (2) , Stéphane Caux (3) , Frédéric Messine (4)

1 LAPLACE - LAboratoire PLasma et Conversion d'Energie
2 LAAS-ROC - Équipe Recherche Opérationnelle, Optimisation Combinatoire et Contraintes
3 LAPLACE-CODIASE - COmmande et DIAgnostic des Systèmes Electriques
4 IRIT-APO - Algorithmes Parallèles et Optimisation

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.

Mots clés: Lower bound; Hybrid-electric vehicles; Heuristics; Global optimization

Domaines: Calcul parallèle, distribué et partagé [cs.DC]

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 2013), Jun 2013, Toulouse, France. pp.1-2, ⟨10.1109/ECMSM.2013.6648937⟩. ⟨hal-01178570⟩