Analytical Solution for Energy Management of Parallel Hybrid Electric Vehicles

Souad Hajd-Said 1, 2 Guillaume Colin 1 Ahmed Ketfi-Cherif 2 Yann Chamaillard 1
1 F2ME
PRISME - Laboratoire Pluridisciplinaire de Recherche en Ingénierie des Systèmes, Mécanique et Energétique
Abstract : An analytical method is proposed to solve the optimization problem of energy management for a parallel hybrid electric vehicle. This method is based on Pontryagin's Maximum Principle (PMP) for a class of Hybrid Dynamic Systems (HDS). Therefore, the analytical models are used, which are an approximation of the reference models. A numerical method based on the reference models is also used in order to validate the analytical solution by comparing their results. In this paper, two types of optimization variables are considered: continuous and discrete. The first type is the power split between the Internal Combustion Engine (ICE) and the Electric Machine (EM). The second one is the transmission ratio, which includes the ICE On/Off decision. The results show that the analytical and the numerical solutions are almost the same. In addition, the analytical approach requires less computing time and requires less memory space than the numerical method.
Type de document :
Communication dans un congrès
20th IFAC World Congress, Jul 2017, Toulouse, France. pp.14436-14441, Preprints of the 20th World Congress, The International Federation of Automatic Control, Toulouse, France, July 9-14, 2017. 〈https://www.ifac2017.org/〉
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https://hal-univ-orleans.archives-ouvertes.fr/hal-01566037
Contributeur : Guillaume Colin <>
Soumis le : jeudi 20 juillet 2017 - 16:05:07
Dernière modification le : lundi 16 juillet 2018 - 16:00:41

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  • HAL Id : hal-01566037, version 1

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Souad Hajd-Said, Guillaume Colin, Ahmed Ketfi-Cherif, Yann Chamaillard. Analytical Solution for Energy Management of Parallel Hybrid Electric Vehicles. 20th IFAC World Congress, Jul 2017, Toulouse, France. pp.14436-14441, Preprints of the 20th World Congress, The International Federation of Automatic Control, Toulouse, France, July 9-14, 2017. 〈https://www.ifac2017.org/〉. 〈hal-01566037〉

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