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Stratégie intelligente de gestion du système énergétique global d’un véhicule hybride

Abstract : The main objective of this work is to develop an optimal management strategy to improve energetic efficiency of hybrid electric vehicle. This work is composed by a mobility experimental analysis part, a numerical modelization part and an optimization part of the energy management strategy. The study of mobility allow to highligth and quantify the predictibility of trips, due to a constraint mobility.The dynamic modelling of the vehicle which is necesary to study perfomance of strategies, was realized by Energetic Macroscopic Representation (EMR) which is a good methode in this case. The proposed strategy is based on the predictive control (MPC), solve by a method of Programming Quadratic, and set up resting on the cycle prediction determined from the experimental study. The perspectives of improvements of these work are consolidation of the database, and improvement of the battery modelling (imcluding thermal and ageing effects) and of the thermal engine (taken into account by some pollutants).
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Submitted on : Monday, June 17, 2019 - 4:18:11 PM
Last modification on : Thursday, February 20, 2020 - 12:37:23 PM


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  • HAL Id : tel-02158009, version 1



Loïc Joud. Stratégie intelligente de gestion du système énergétique global d’un véhicule hybride. Energie électrique. Université Bourgogne Franche-Comté, 2018. Français. ⟨NNT : 2018UBFCK068⟩. ⟨tel-02158009⟩



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