Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Stephanie Stockar"'
Autor:
Mithun Goutham, Stephen Boyle, Meghna Menon, Shankar Mohan, Sarah Garrow, Stephanie Stockar Stockar
Publikováno v:
IEEE Robotics and Automation Letters. 8:1509-1514
Publikováno v:
IEEE Control Systems Letters. 7:847-852
Autor:
Vinith Kumar LAKSHMANAN, Shobhit Gupta, Stefano D'Alessandro, Matteo Spano, Dennis Kibalama, Stephanie Stockar, Marcello Canova, Ouafae El Ganaoui-Mourlan, Antonio Sciarretta
Publikováno v:
SAE Technical Paper Series.
Accurately predicting the future behavior of the surrounding traffic, especially the velocity of the lead vehicle is important for optimizing the energy consumption and improve the safety of Connected and Automated Vehicles (CAVs). Several studies re
Autor:
Stephen Boyle, Stephanie Stockar
Publikováno v:
Journal of Dynamic Systems, Measurement, and Control. 145
Combined powertrain and velocity optimization can achieve significant energy efficiency improvements. However, due to the multitime scales in the system, the optimization is performed hierarchically and by separating time scales. To enforce state con
Publikováno v:
SAE Technical Paper Series.
Autor:
Stephanie Stockar, Stephen Boyle
Publikováno v:
Journal of Dynamic Systems, Measurement, and Control. 144
Connected and autonomous vehicles (CAVs) have the ability to use information obtained via vehicle-to-infrastructure (V2I), vehicle-to-vehicle (V2V) communication, and sensors to improve their fuel economy through predictive strategies, including velo
Among the auxiliary loads in light-duty vehicles, the air conditioning system is the single largest energy consumer. For electrified vehicles, the impact of heating and cooling loads becomes even more significant, as they compete with the powertrain
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8252441694f10c27b21f1518d070e712
http://arxiv.org/abs/2110.10142
http://arxiv.org/abs/2110.10142
Autor:
Stephanie Stockar, Stephen Boyle
Publikováno v:
IFAC-PapersOnLine. 52:279-284
As connected and automated vehicles are becoming more popular, there is potential for leveraging the available traffic and road information to reduce vehicles’ fuel consumption. Many optimization strategies have been proposed at the powertrain leve
Autor:
John Borek, Evan Pelletier, Chu Xu, Mohammad Naghnaeian, Christian Earnhardt, Hosam K. Fathy, Miguel Alvarez Tiburcio, Manuel Rodriguez, Chris Vermillion, Sean Brennan, Stephen Boyle, Wushuang Bai, Stephen Geyer, Liming Gao, Ben Groelke, Christopher Graham, Kyle Palmeter, Mark Magee, Stephanie Stockar
Publikováno v:
SAE Technical Paper Series.
Publikováno v:
Volume 1: Adaptive/Intelligent Sys. Control; Driver Assistance/Autonomous Tech.; Control Design Methods; Nonlinear Control; Robotics; Assistive/Rehabilitation Devices; Biomedical/Neural Systems; Building Energy Systems; Connected Vehicle Systems; Control/Estimation of Energy Systems; Control Apps.; Smart Buildings/Microgrids; Education; Human-Robot Systems; Soft Mechatronics/Robotic Components/Systems; Energy/Power Systems; Energy Storage; Estimation/Identification; Vehicle Efficiency/Emissions.
Cogeneration is a well-known and cost effective solution for generating power and heat within the same plant, leading to improved overall efficiency and reduced generation cost. Combined heating and power systems can facilitate the penetration of ren