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Potomac, MD, United States

Kachroudi S.,Veolia Environmental Services | Grossard M.,Aux Interactive | Abroug N.,Aux Interactive
IEEE Transactions on Vehicular Technology | Year: 2012

This paper focuses on the development of computational algorithms for determining online energy-based driving guidance for an electric vehicle (EV) endowed with regenerative breaking system capabilities. A predictive decision support system is designed to optimally distribute energy flow between the instantaneous power demand requested by the driver for the powertrain engine and the different auxiliaries relating to comfort performance, such as the heating system. The proposed methodology uses an online particle swarm optimization (PSO) algorithm to search for a global optimum relative to specific objective functions, which take into account battery autonomy, driving comfort indexes, and travel time. Our methodology has been validated for a heavy motorized quadricycle vehicle using hardware-in-loop (HIL) simulations, for which the energy management system has been implemented in a digital signal processing (DSP) board communicating through a controller area network (CAN) protocol. © 1967-2012 IEEE. Source


Perrot Y.,Aux Interactive | Gargiulo L.,French Atomic Energy Commission | Houry M.,French Atomic Energy Commission | Kammerer N.,Aux Interactive | And 4 more authors.
Journal of Field Robotics | Year: 2012

The Interactive Robotics Laboratory of CEA LIST is in charge of the development of remote handling technologies to meet energy industry requirements. This paper reports the research and development activities in advanced robotics systems for inspection or light intervention in hazardous environments with limited access such as blind hot cells in the nuclear industry or the thermonuclear experimental Tokamak fusion reactor. A long-reach carrier robot called the articulated inspection arm (AIA) and diagnostics and tools for inspection or intervention are described. Finally experimental field tests are presented and actual challenges in modeling the robot's flexibilities are discussed. © 2011 Wiley Periodicals, Inc. Source

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