Sylvain Pagerit

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The U.S. Department of Energy (DOE) has invested considerable research and development (R&D) effort into Plug-in Hybrid Electric Vehicle (PHEV) technology because of the potential fuel displacement offered by the technology. DOE’s PHEV R&D Plan [1], which is driven by the desire to reduce dependence on foreign oil by diversifying the fuel sources of(More)
Plug-in hybrid electric vehicles (PHEVs) have demonstrated the potential to significantly increase fuel economy. However, the overall efficiency of the powertrain system of any Hybrid Electric Vehicle (HEV) depends on the vehicle-level control strategy. To optimize the energy flow, a global optimization algorithm, based on the Bellman principle, was used to(More)
Many of today’s automotive control system simulation tools are suitable for simulation, but they provide rather limited support for model building and management. Setting up a simulation model requires more than writing down state equations and running them on a computer. The role of a model library is to manage the models of physical components of the(More)
In 2002, the U.S. Department of Energy (DOE) launched FreedomCAR, which is a partnership with automakers to advance high-technology research needed to produce practical, affordable advanced vehicles that have the potential to significantly improve fuel economy in the near-term. Advanced materials (including metals, polymers, composites, and intermetallic(More)
Hybrid Electrical Vehicle (HEV) fuel economy highly depends on power allocation between the different power sources — engine and fuel cell — and the energy storage system(s). A generic global optimization algorithm has been developed to minimize fuel consumption by optimizing the powertrain power flows. This algorithm was applied on a Fuel Cell Hybrid(More)
Model-based control system design improves quality, shortens development time, lowers engineering cost, and reduces rework. Evaluating a control system's performance, functionality, and robustness in a simulation environment avoids the time and expense of developing hardware and software for each design iteration. Simulating the performance of a design can(More)
Plug-in Hybrid Electric Vehicles (PHEVs) offer a great opportunity to significantly reduce petroleum consumption. The fuel economy of PHEV is highly dependent on All-Electric-Range (AER) and control strategy. Previous studies have shown that in addition to parameters influencing Hybrid Electric Vehicles (HEVs), control strategies of PHEVs are also(More)
The advent of heterogeneous specifications of complex systems utilizing both continuous (viz. physics or maths based models) and discrete domain models, communicating via accurate network models, enables a generalization of the usual model-based design methodology. The use of individual notations appropriate for sensor, actuator, plant, controller and(More)
Plug-in Hybrid Electric Vehicles (PHEVs) offer a great opportunity to significantly reduce petroleum consumption. The potential fuel displacement is influenced by several parameters, including powertrain configuration, component technology, drive cycle, distance... The objective of this paper is to evaluate the impact of component assumptions on fuel(More)
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