Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Leonidas Kiliaris"'
Publikováno v:
Journal of Power Sources. 196:835-846
This paper presents an optimal online power management strategy applied to a vehicular power system that contains multiple power sources and deals with largely fluctuated load requests. The optimal online power management strategy is developed using
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4be9ba4c6295dee241fb976b38179849
https://doi.org/10.1016/j.jpowsour.2010.07.052
https://doi.org/10.1016/j.jpowsour.2010.07.052
Autor:
Zhihang Chen, Anthony Mark Phillips, Leonidas Kiliaris, M.A. Masrur, Yi Lu Murphey, Jungme Park, M.L. Kuang
Publikováno v:
IEEE Transactions on Vehicular Technology. 58:4741-4756
Previous research has shown that current driving conditions and driving style have a strong influence over a vehicle's fuel consumption and emissions. This paper presents a methodology for inferring road type and traffic congestion (RT&TC) levels fro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fb6f4c1f8c9d2b8648a65cb146145c8b
https://doi.org/10.1109/tvt.2009.2027710
https://doi.org/10.1109/tvt.2009.2027710
Publikováno v:
2009 IEEE Vehicle Power and Propulsion Conference.
This paper presents a machine learning approach to train an intelligent power controller for a series hybrid electric vehicle. The proposed machine learning approach exploits the best efficiency of the components associated with the roadway type and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::848cb2d321fd6534eb15d1d143042137
https://doi.org/10.1109/vppc.2009.5289748
https://doi.org/10.1109/vppc.2009.5289748
Publikováno v:
CIVVS
This paper presents an innovative approach to classifying the driver's driving style by analyzing the jerk profile of the driver. Driving style is a dynamic behavior of a driver on the road. At times a driver can be calm but aggressive at others. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1b9ea7045ffd098b40b2c4e0f4e4ae61
https://doi.org/10.1109/civvs.2009.4938719
https://doi.org/10.1109/civvs.2009.4938719
Autor:
Jungme Park, Zhihang Chen, Yi Lu Murphey, M.A. Masrur, Leonidas Kiliaris, Ming Kuang, Anthony Mark Phillips
Publikováno v:
VTC Fall
This paper presents a machine learning approach to the efficient vehicle power management and an intelligent power controller (IPC) that applies the learnt knowledge about the optimal power control parameters specific to specific road types and traff
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f6c3f63aa3791288b5388530c176058a
https://doi.org/10.1109/vetecf.2008.254
https://doi.org/10.1109/vetecf.2008.254
Autor:
Jungme Park, Yi Li Murphey, Ming Kuang, Abul Masrur, Anthony Mark Phillips, Zhihang Chen, Leonidas Kiliaris
Publikováno v:
IJCNN
Vehicle power management has been an active research area in the past decade, and has intensified recently by the emergence of hybrid electric vehicle technologies. Research has shown that driving style and environment have strong influence over fuel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8c10e376572f2c48bd65db755bbfef8d
https://doi.org/10.1109/ijcnn.2008.4634337
https://doi.org/10.1109/ijcnn.2008.4634337
Publikováno v:
2015 International Conference on Applied & Theoretical Computing & Communication Technology (iCATccT); 2015, p481-485, 5p
Autor:
Murphey, Yi Lu, Park, Jungme, Kiliaris, Leonidas, Kuang, Ming L., Masrur, M. Abul, Phillips, Anthony M., Wang, Qing
Publikováno v:
IEEE Transactions on Vehicular Technology; Jan2013, Vol. 62 Issue 1, p69-79, 11p
Autor:
Jungme Park, Zhihang Chen, Kiliaris, Leonidas, Kuang, Ming L., Masrur, M. Abul, Phillips, Anthony M., Murphey, Yi Lu
Publikováno v:
IEEE Transactions on Vehicular Technology; Nov2009, Vol. 58 Issue 9, p4741-4756, 16p, 5 Black and White Photographs, 5 Diagrams, 5 Charts, 5 Graphs
Autor:
Yeuching Li, Hongwen He
The urgent need for vehicle electrification and improvement in fuel efficiency has gained increasing attention worldwide. Regarding this concern, the solution of hybrid vehicle systems has proven its value from academic research and industry applicat
