Fiche individuelle
Abdoulaye PAM | ||
Titre | Doctorant | |
Equipe | Commande | |
Adresse | Université de LILLE Avenue Paul langevin 59655 VILLENEUVE-D'ASCQ | |
Téléphone | +33 (0)3-XX-XX-XX-XX | |
abdoulaye.pam.etu@univ-lille.fr | ||
Observation / Thématique de recherche | Emulateurs de puissance flexibles pour chaînes de traction électrifiées | |
Publications |
ACLI Revue internationale avec comité de lecture |
---|
[1] Comparison of different models for energy management strategy design of a parallel hybrid electric vehicle: impact of the rotating masses IET Electrical Systems in Transportation, A paraître, Abstract PAM Abdoulaye, BOUSCAYROL Alain, FIANI Philippe, FAVAL Fabien |
Simulation is a key step during the development of energy management strategies (EMSs) for Hybrid Electric Vehicles (HEV). Moreover, optimal algorithms such as Dynamic Programming (DP) are used off-line to define a benchmark for real-time EMSs. However, several assumptions are made on the model to determine the appropriate energy management of an HEV. The rotating masses of the mechanical transmission, which are related to the vehicle dynamics, are often neglected for EMS development. In this paper, different models for the EMS design of a parallel HEV are compared. An EMS based on the dynamical model that considers the rotating masses is used as a benchmark. A static model considering only the static mass of the vehicle is also studied. Intermediate models, such as an average gear model and an average mass model, are also considered. Simulations are performed using different driving cycles. The comparisons are based on the fuel consumption and also the computation time resulting from EMSs derived from the different models. Globally, the static model leads to an average error up to 20% on the energy consumption in comparison with the dynamical model. The average mass model leads to an error less than 1%. For real-time simulations, the average mass model allows to reduce the computation time by a factor of 10 in comparison with the dynamical model. |
ACT Conférence internationale avec acte |
[1] Specification in Time and Frequency domains of a Power Emulator for testing the Generator of a series Hybrid Electric Vehicle IEEE Vehicle Power and Propulsion Conference, Hanoï (Vietnam), 10/2019, Abstract PAM Abdoulaye, BOUSCAYROL Alain, FIANI Philippe, FAVAL Fabien |
Hardware-in-the-Loop (HiL) simulation is more and more used during the development of hybrid electric vehicles (HEV). Power emulators are used to test different components of HEVs. However, there are several requirements that must be met for test accuracy and reliability. In this paper, time and frequency domain analyzes are combined to determine the ppropriate characteristics of a power emulator for testing the electrical generator of a series HEV. |
[2] Integration of the Road Slope in the Optimization of the Energy Management Strategy of a parallel HEV IFAC - Advances Automotive Control (AAC), Orléans (France), 06/2019, Abstract PAM Abdoulaye, BOUSCAYROL Alain, FIANI Philippe, FAVAL Fabien, BARRADE Philippe |
Optimization methods for Energy Management Strategy (EMS) are more and more used to minimize the fuel consumption of Hybrid Electric Vehicles (HEV). For off-line techniques, such as dynamic programming, from a given driving cycle, an algorithm is defined to determine the optimal power flows of the vehicle. Most of the time, the optimization is achieved by not considering the resistive force due to the road slope, which can be very high in certain roads depending on the mass of the vehicle. This paper aims to quantify the accurate fuel consumption economy when the road slope is integrated or not in the EMS optimization problem of a parallel HEV using dynamic programming. |
[3] Influence of the Dynamical Mass on the Fuel Consumption of a plug-in Parallel Hybrid Electric Vehicle in Simulation IEEE Vehicle Power and Propulsion Conference, Chicago - IL (USA), 08/2018, Abstract PAM Abdoulaye, BOUSCAYROL Alain, FIANI Philippe, FAVAL Fabien |
Simulation is a key step during the development phase of Hybrid Electric Vehicles (HEV). However, for a given objective of the simulation, several assumptions are made to determine the appropriate model of a HEV. Neglecting the rotating components mass, in comparison with the static mass of a vehicle, is a classical assumption made. In this paper, the influence of the rotating components mass on the fuel consumption of a plug-in parallel HEV is studied. Three models, related to the mass of the vehicle, are considered. In that aims, Energetic Macroscopic Representation is used to organize the different models of the powertrain. The effects on the fuel consumption are then studied. In fact, the fuel consumption of the studied vehicle is 7% lower when the rotating components mass is neglected. |
[4] Rule-based Energy Management Strategy for a Parallel Hybrid Electric Vehicle deduced from Dynamic Programming IEEE Vehicle Power and Propulsion Conference, Belfort (France), 12/2017, Abstract PAM Abdoulaye, BOUSCAYROL Alain, FIANI Philippe, NOTH Frédéric |
To ensure the highest energy efficiency of Hybrid Electric Vehicles, optimizing their Energy Management Strategy (EMS) is required. Unfortunately, most of the methods for optimal EMS like Dynamic Programming (DP) cannot be used in real time. Rule-based EMS are well known to be easily usable in real time. The objective of this paper is to achieve a rule-based EMS of a parallel Hybrid Electric Vehicle, deduced from DP. In that aims, Energetic Macroscopic Representation of the powertrain is used to develop a backward model. |
Le L2EP recrute
Dernières actualités
- Séminaire Réseaux, 8 juillet 2020
- Saoutenance de Thèse, Nnaemeka UGWUANYI, 26 juin 2020
- Séminaire OMN, 5 Mars 2020, Meryeme JAMIL
- Saoutenance de Thèse, Anatole DESREVEAUX, 4 mars 2020
- Parution d’ouvrage, Stockage d’énergie électrique pour les bâtiments au sein de réseaux intelligents
- Sélection Best Papers of IEEE
- Journée 3ème de thèse, 31 Jan. 2020.
- Comité de suivi CE2I, 29 janv. 2020
- Assemblée générale, 24 Jan. 2020
- Séminaire CUMIN, 22 et 23 janv. 2020