On the use of Dynamic Programming in eco-driving cycle computation for electric vehicles

D Maamria 1 Kristan Gillet 1 Guillaume Colin 1 C Nouillant 2 Yann Chamaillard 1
1 F2ME
PRISME - Laboratoire Pluridisciplinaire de Recherche en Ingénierie des Systèmes, Mécanique et Energétique
Abstract : This paper considers the problem of eco-driving for electric cars. This problem is formulated as an Optimal Control Problem (OCP) aiming at minimizing the vehicle's energy consumption over fixed time and distance horizons. The impact of battery parameter variations and auxiliary power demands on the optimal vehicle velocity computation are studied from a model complexity viewpoint. Simulation results are presented and discussed to illustrate the suggested simplifications.
Keywords : energy management
Type de document :
Communication dans un congrès
2016 IEEE Conference on Control Applications (CCA), Sep 2016, Buenos Aires, Argentina. pp.1288-1293, 2016, Proceedings of the 2016 IEEE Conference on Control Applications (CCA). 〈http://ieeexplore.ieee.org/document/7587984/〉. 〈10.1109/CCA.2016.7587984〉
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Soumis le : vendredi 21 juillet 2017 - 13:35:46
Dernière modification le : lundi 16 juillet 2018 - 16:00:40

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D Maamria, Kristan Gillet, Guillaume Colin, C Nouillant, Yann Chamaillard. On the use of Dynamic Programming in eco-driving cycle computation for electric vehicles. 2016 IEEE Conference on Control Applications (CCA), Sep 2016, Buenos Aires, Argentina. pp.1288-1293, 2016, Proceedings of the 2016 IEEE Conference on Control Applications (CCA). 〈http://ieeexplore.ieee.org/document/7587984/〉. 〈10.1109/CCA.2016.7587984〉. 〈hal-01566889〉

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