Zobrazeno 1 - 10
of 141
pro vyhledávání: '"Peter H. Bauer"'
Autor:
Peter H. Bauer, Eduardo F. Mello
Publikováno v:
SAE International Journal of Sustainable Transportation, Energy, Environment, & Policy. 3:3-17
Autor:
Peter H. Bauer, Eduardo F. Mello
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 21:4328-4337
This paper presents energy-optimal speed trajectories between stops for electric vehicles. It is shown that if basic infrastructure and traffic flow information is available, energy savings of up to 60% are possible, with 20-40% being typical values.
Publikováno v:
Applied Energy. 329:120231
Autor:
Eduardo F. Mello, Peter H. Bauer
Publikováno v:
2021 IEEE Vehicle Power and Propulsion Conference (VPPC).
Publikováno v:
IEEE Access, Vol 7, Pp 76328-76341 (2019)
Applying swarm intelligence to actual swarm robotic systems is a challenging task especially with adequately consideration of corresponding practical constraints. Under the restrictions of the field-of-view limited relative positioning, local sensing
Autor:
Peter H. Bauer, Kelsey Farr
Publikováno v:
SAE Technical Paper Series.
Autor:
Gerhard Schötz, Bodo Kühn, Dörte Schönfeld, Andreas Langner, Peter H. Bauer, Maximilian Schmitt
Publikováno v:
Optical Fibers and Sensors for Medical Diagnostics, Treatment and Environmental Applications XXI.
Plasma outside deposition (POD) allows the incorporation of high fluorine contents in silica glass to manufacture multi-mode fibers. Due to all silica design and excellent material attributes, these so-called Fluosil fibers cover a wide spectrum of a
Autor:
Zonggen Yi, Peter H. Bauer
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 19:3807-3817
A stochastic energy aware routing framework is proposed for electric vehicles with the goal of enhancing the sustainability of future electrified transportation systems. A stochastic decision making framework is introduced to handle the random effect
Autor:
Peter H. Bauer, Miaomiao Hu
Publikováno v:
World Electric Vehicle Journal
Volume 12
Issue 4
World Electric Vehicle Journal, Vol 12, Iss 180, p 180 (2021)
Volume 12
Issue 4
World Electric Vehicle Journal, Vol 12, Iss 180, p 180 (2021)
Increase of non-renewable energy consumption and CO2 emissions has brought heavy burdens to our planet. Heavy-duty vehicles as a large energy consumer benefit a lot from platooning due to reduced air drag. Comparing to ICE trucks, electric trucks can
Autor:
Zonggen Yi, Peter H. Bauer
Publikováno v:
IEEE Transactions on Vehicular Technology. 66:10515-10525
This paper introduces an adaptive multiresolution framework for electric vehicle (EV) energy consumption estimation with real-time capability. Three key parameters, namely powertrain efficiency, wind speed, and rolling resistance, are adaptively esti