What is he best known for?
The fields of study he is best known for:
- Electrical engineering
- Mechanical engineering
- Control theory
Automotive engineering, Control engineering, Inversion, Energetic macroscopic representation and Electric vehicle are his primary areas of study.
His Fuel efficiency study in the realm of Automotive engineering interacts with subjects such as Supercapacitor.
His work focuses on many connections between Fuel efficiency and other disciplines, such as Hybrid vehicle, that overlap with his field of interest in Automotive engine, Driving range and Internal combustion engine.
His research integrates issues of Continuously variable transmission, Hybrid power, Power system simulation, DSPACE and Photovoltaic system in his study of Control engineering.
He works mostly in the field of Energetic macroscopic representation, limiting it down to concerns involving Control theory and, occasionally, Voltage control, Turbine, Wind power and Voltage.
His work deals with themes such as Powertrain and Energy management, which intersect with Electric vehicle.
His most cited work include:
- Electric, Hybrid, and Fuel-Cell Vehicles: Architectures and Modeling (468 citations)
- Comparison of energy management strategies of a battery/supercapacitors system for electric vehicle under real-time constraints (142 citations)
- Energy Storage System With Supercapacitor for an Innovative Subway (140 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Automotive engineering, Electric vehicle, Energetic macroscopic representation, Energy management and Control engineering.
The various areas that Alain Bouscayrol examines in his Automotive engineering study include Battery, Driving cycle, Torque and Energy consumption.
As part of one scientific family, Alain Bouscayrol deals mainly with the area of Electric vehicle, narrowing it down to issues related to the Powertrain, and often Clutch.
Alain Bouscayrol studied Energetic macroscopic representation and Control theory that intersect with Wind power.
His Energy management research is multidisciplinary, incorporating perspectives in Propulsion and Systems engineering.
His work carried out in the field of Control engineering brings together such families of science as Control, Hybrid power, Computation and Traction system.
He most often published in these fields:
- Automotive engineering (43.97%)
- Electric vehicle (34.91%)
- Energetic macroscopic representation (31.90%)
What were the highlights of his more recent work (between 2018-2021)?
- Automotive engineering (43.97%)
- Electric vehicle (34.91%)
- Energy management (26.72%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Automotive engineering, Electric vehicle, Energy management, Driving cycle and Battery.
His Automotive engineering research is multidisciplinary, relying on both Energy consumption, Energy recovery, Traction power network and Propulsion.
His work on Driving range and Energetic macroscopic representation as part of general Electric vehicle research is frequently linked to Consumption and Total cost of ownership, bridging the gap between disciplines.
His Energetic macroscopic representation research is multidisciplinary, incorporating elements of Torque, Formula Student and Automotive industry.
His Energy management research incorporates themes from Dynamic programming, Reduction, Axle and Fuel efficiency.
The concepts of his Battery study are interwoven with issues in Vehicle dynamics, Control theory and Current.
Between 2018 and 2021, his most popular works were:
- Real-Time Energy Management of Battery/Supercapacitor Electric Vehicles Based on an Adaptation of Pontryagin's Minimum Principle (33 citations)
- Influence of a CVT on the fuel consumption of a parallel medium-duty electric hybrid truck (9 citations)
- Dynamical Coupling of a Battery Electro-Thermal Model and the Traction Model of an EV for Driving Range Simulation (5 citations)
In his most recent research, the most cited papers focused on:
- Electrical engineering
- Mechanical engineering
- Artificial intelligence
Alain Bouscayrol spends much of his time researching Automotive engineering, Driving cycle, Electric vehicle, Energy management and Dynamic programming.
His Automotive engineering research includes themes of Genetic algorithm and Torque.
His studies in Electric vehicle integrate themes in fields like Energy consumption and Computer hardware.
Alain Bouscayrol has researched Energy management in several fields, including Battery, Control theory and Adaptation.
His Dynamic programming research integrates issues from Continuously variable transmission, Heat engine, Fuel efficiency, Optimization problem and Truck.
His studies deal with areas such as Control engineering and Manual transmission as well as Fuel efficiency.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
