Name
Title | ||
|---|---|---|
Robust energy management under demand uncertainty for a hybrid FC/UC electric vehicle |
Abstract | ||
|---|---|---|
Classical optimization approaches require exact knowledge of the parameters and input data that appears in the problem formulation. Nevertheless, many perturbations or uncertainties are likely to occur while computing the optimal solution. These errors are usually neglected in theory but they highly affect the quality of the optimal solution. In this paper, a potential perturbation is introduced to the demanded power profile of a hybrid Fuel Cell/Ultra-Capacitor electric vehicle. A robust worst-case optimization algorithm is developed in order to compare its performance to the classical optimal solution. Simulation results demonstrate the ability of the robust approach to produce immune solutions against possible perturbations. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/SSD.2019.8893162 | 2019 16th International Multi-Conference on Systems, Signals & Devices (SSD) |
Keywords | Field | DocType |
Hybrid electric vehicle,energy management,robust optimization,uncertainty | Energy management,Electric vehicle,Robust optimization,Control theory,Computer science,Fuel cells,Optimization algorithm,Perturbation (astronomy) | Conference |
ISSN | ISBN | Citations |
2474-0438 | 978-1-7281-1821-5 | 0 |
PageRank | References | Authors |
0.34 | 3 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rayhane Koubaa | 1 | 0 | 1.01 |
| Seddik Bacha | 2 | 0 | 0.34 |
| lotfi krichen | 3 | 0 | 4.39 |