0000000000399947
AUTHOR
Loïc Joud
Prédiction de cycle et stratégie de gestion énergétique basée sur une méthode d’optimisation globale
International audience; La nécessité de prédire le cycle de conduite d’un automobiliste afin d’améliorer sa gestion énergétique et ainsi réduire la consommation de carburant a été démontré (Debert, Quigley). Dès lors, il serait aisé d’appliquer une méthode d’optimisation globale, telle que la Programmation Dynamique (DP en anglais), pour obtenir la stratégie optimale. Cette méthode est déjà utilisée dans de nombreuses applications (Sciarretta), mais au quotidien nombreux sont les facteurs environnants qui peuvent perturber les conditions de circulation (météo, travaux, accidents....) et impacter le cycle de conduite. Il est donc nécessaire d’élaborer une stratégie adaptative en temps réel. …
Smart strategy of an hybrid vehicle global energetic system gestion
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, a…
Predictive Energy Management for Hybrid Vehicles Based on Driving Cycle Recognition
International audience; This article presents a novel approach to design an optimum energy management for a series plug-in hybrid electric vehicle based on driving cycle recognition. Thanks to an intensive study of driver habits, an important part of cycles is predictable. Optimized energy management can be developed for representative cycles via DP. Those results can be applied to the same cycle with slight adaptations thereafter with quality factors above 98%.