- Electric Vehicles and Infrastructure
- Vehicle emissions and performance
- Electric and Hybrid Vehicle Technologies
- Advanced Battery Technologies Research
- Energy, Environment, and Transportation Policies
- Electric Motor Design and Analysis
- Aerodynamics and Fluid Dynamics Research
- Silicon Carbide Semiconductor Technologies
- Advanced DC-DC Converters
- Transportation Planning and Optimization
- Real-time simulation and control systems
- Multilevel Inverters and Converters
- Refrigeration and Air Conditioning Technologies
- Wind Turbine Control Systems
- Microgrid Control and Optimization
- Fuel Cells and Related Materials
- Traffic control and management
- Transportation and Mobility Innovations
- Green IT and Sustainability
Centre National de la Recherche Scientifique
2022-2025
Laboratoire des systèmes et applications des technologies de l'information et de l'énergie
2024-2025
Université Paris-Saclay
2025
Conservatoire National des Arts et Métiers
2024
Université de Lille
2016-2023
Laboratoire d'Électrotechnique et d'Électronique de Puissance de Lille
2016-2023
Laboratoire de Génie Électrique et Électronique de Paris
2022-2023
École nationale supérieure d'arts et métiers
2020-2022
École Centrale de Lille
2020-2022
The energy consumption of electric vehicles depends on the traction but also thermal comfort energy.Some studies lead to estimation this from real measurements different driving and climatic conditions.However, those results rely a large number vehicle tests, which is time consuming.Moreover, impacts subsystems cannot be differentiated in such global studies.A flexible simulation tool can help analyze impact parts vehicle.This paper proposes multiphysical parametrized model an including...
The driving range of electric vehicles is an important issue. velocity profile can have impact on their energy consumption and thus range. In this paper, a commercial vehicle studied. model its traction subsystems developed using forward approach. A specific cycle generator then coupled with model. feedback from the to allows for recalculation reference in case limitation due electrical drives, more accurate estimation consumption. Different trips are studied method. maximal has strong while...
Despite their low environmental impact, electrical vehicles have penetration in the automotive market. Consumers are reluctant for technical reasons (limited driving range and long charging time) but also an economic reason (high investment costs). Electric vehicle total cost of ownership (TCO) is often perceived as higher than a thermal car, especially Europe where diesel cars lower TCO gasoline cars. Accurate estimations critical, most techno-economic studies electrified based on very...
The driving range of electric vehicles is a complex issue. In simulation, this determined by coupling battery model and traction the vehicle. But most models used for such studies do not take into account interaction between temperature (impacting its electrical parameters) studied EV. paper, electro-thermal (with all parameters dependent upon temperature) dynamically coupled with an Simulation results are provided to show impact on range. initial (without dependence) leads overestimation...
The energy consumption of an electric vehicle is primarily due to the traction subsystem and comfort subsystem. For a regular trip, can be relatively constant but has variation depending on seasonal temperatures. In order plan annual charging operation eco-campus, simulation tool developed for accurate determination throughout year. model been validated by comparison with experimental measurement real driving cycle. Different commuting trips are analyzed over complete considered city in...
The CUMIN (Campus of University with Mobility based on Innovation and carbon Neutral) aims at developing a carbon-free campus for the Lille 1 in France. mobility users is indeed most important contributor to Green House Gas emissions campus. progressively replacing thermal cars by electric vehicles which will be charged energy photovoltaic panels.
This work is part of the CUMIN program "Campus University with Mobility based on Innovation and carbon Neutral". The purpose to develop a simulation tool compare consumption between diesel car an electric vehicle. estimates quantity energy required by each vehicle for same driving cycle. Moreover, it indicates CO2 emissions released within this Therefore comparison will justify exclusive use vehicles inside campus considered CUMIN.
The development of electric vehicles has been spectacular over the last 20 years, so automotive industry started to shift mass production electrified vehicles. However, new are required face needs users. Simulation is a key step for vehicle. Organization tools, such as Energetic Macroscopic Representation (EMR), have therefore developed improve and speed-up virtual vehicle models. paper presents comparison between functional structural representation on EV simulation under Simcenter Amesim....
The reduction of greenhouse gas emission is necessary to limit the global warming. Electrification transport sector one solution. To accelerate change, accurate and fast simulation program are key issues. choice model an important aspect program. In this paper, different models electric drive for vehicle compared in terms computation time energy consumption. A static will lead divide by 100, losing only 2% accuracy.
Electric Vehicles (EVs) based on Cascaded H Bridge (CHB) promise reduced consumption and improved modularity, repairability, resilience, versatility. This study focuses evaluating the efficiency of CHB inverters utilizing lowvoltage Si MOSFETs to improve EV performance range. Through a comprehensive system-level approach modeling, simulation CHB-based powertrain is developed experimentally validated. Electrical mechanical simulations are conducted separately finally combined streamline...
Electric Vehicles have a limited range in comparison with thermal vehicles. Moreover, their auxiliaries, such as the heating system, can great impact on autonomy. In previous work, dynamic model of traction and behavior an electric vehicle has been developed to study its system. this paper, different simplifications are proposed. The models discussed terms accuracy energy consumption also computation time.
Driving cycles can be generated by using instrumented vehicle or simulation a driving cycle generator. The advantage of the measurement on real is to have velocity profiles. But this method requires an and time carry tests when weather conditions are acceptable. A generator proposed avoid these problems. Comparison between two methods presented.
Parallel Hybrid Electric Vehicles (HEVs) with Discrete and Continuous Variable Transmissions (DVT CVT) are studied. A common Energetic Macroscopic Representation (EMR) is developed for both kinds of parallel HEVs. Then, a control structure deduced from this EMR. Optimization-based Energy Management Strategies (EMSs) developed. Simulation results provided comparison between HEVs CVT DVT presented.
The aim of this paper is to validate the compliance between an EV and a battery with reference driving cycle. Hardware in Loop methodology used. It based on interactions different subsystems. In paper, 35 kWh pack studied. A 5 module from tested same power constraints when used real EV. developed Hardware-in-the-Loop (HiL) test bench composed model traction chain controllable current source. velocity cycle as input. HiL achieved at full scale for module. shown that could be studied limits...
Battery operation is influenced by the temperature. Thus, thermal modelling an important aspect for battery electric vehicles (EVs). Generally electro-thermal parameters are identified one single cell. In EVs divided into several modules (groups of cells side side). The objective this paper to quantify accuracy using cell model behavior a module. temperature inside module and voltage recorded during real driving cycle in instrumented commercial EV. Considering as group identical leads error...
To reduce the time-to-market of electric vehicles, fast and accurate energetic simulations are needed. This paper aims to propose a computational dynamic model that allows good compromise between accuracy computation time while respecting dynamics system. Its evaluated compared conventional static models. The results show proposed estimates same energy consumption as traditional for 85 times faster. is four faster than model, but reduced.
Switched Reluctance Generator (SRG) is a sustainable and low-cost solution for future small-scale wind-energy-conversion system (WECS). However, the SRG has intrinsic spatial magnetic nonlinearities study of WECS multidisciplinary complex. To simplify modelling controller design process, this paper proposes comprehensive step-by-step method an based DC micro grid. Thanks to Energetic Macroscopic Representation, natural decomposition studied with respect physical laws obtained. Moreover,...
For techno-economic modeling of electric vehicles to be useful, it must have access realistic information on their consumption. A high-quality technical model can provide a precise and customized estimate consumption link with an economic study. However, these two worlds are traditionally not well-linked, assessments usually use simple consumption, such as fixed efficiency (kWh/km). As consequence, operating life-cycle costs differ from the figures assumed in studies. This paper uses case...
Electric vehicles are one of the possible solutions to deal with global warming because transport sector is a main contributor greenhouse gas emissions. As part Campus University for Mobility Innovation and Neutral in carbon (CUMIN) program, Lille aims reduce thermal vehicle usage, including replacement electric vehicles. This work compares cost duration different routes that achieve same trip (same starting ending points) both Because their differing technical characteristics, types have...