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A Deterministic Multivariate Clustering Method for Drive Cycle Generation from in-use Vehicle Data

US Dept of Energy-Adam Duran
US Dept. of Energy-Eric Miller
  • Technical Paper
  • 2020-01-1045
To be published on 2020-04-14 by SAE International in United States
Understanding vehicle drive cycles plays a fundamental role in assessing the performance of new vehicle technologies, leading to more informed decision making, better test procedures, more successful designs, and lower manufacturing and operating expenses. With continued growth in the deployment of onboard telematics systems employing global positioning systems (GPS), large scale collection of real world vehicle drive cycle data has become a reality. With the vast sea of data now available due to improvements in technology, and limitations in terms of resources available for testing and simulation, the need exists for a means of generating representative cycles reflective of collected real world drive cycles. This paper explores the development and initial validation of a method of generating representative drive cycles from large collections of real world vehicle data using a deterministic multivariate clustering approach. Starting with theory and diving into the methodology behind representative cycle generation, the paper aims to also present graphical and tabular results of initial validation via vehicle simulation and chassis dynamometer testing. Additional topics for further research and areas for ongoing…
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Impact of Mixed Traffic on Heavy Truck Platooning Energy Savings

US Dept of Energy-Michael Lammert
Auburn Univ-Patrick Smith, Mark Hoffman, David Bevly
  • Technical Paper
  • 2020-01-0679
To be published on 2020-04-14 by SAE International in United States
A two-truck platooning system was tested on a closed test track in a variety of realistic traffic and transient operating scenarios - conditions that truck platoons are likely to face on real highways. The fuel consumption for both trucks in the platoon was measured using the SAE J1321 gravimetric procedure as well as calibrated J1939 instantaneous fuel rate, serving as proxies to evaluate the impact of aerodynamic drag-reduction under constant-speed conditions. These measurements demonstrate the effects of: cut-in and cut-out maneuvers by other vehicles, transient traffic, the use of mismatched platooned vehicles (van trailer mixed with flatbed trailer), platoon following another truck with adaptive cruise control (ACC) and the presence of a multiple-passenger-vehicle pattern ahead of and adjacent to the platoon. These scenarios are intended to address the possibility of “background aerodynamic platooning” impacting realized savings on public roads. Using calibrated J1939 fuel rate analysis, fuel savings for curved track sections vs straight track sections was also evaluated for these scenarios. The presence of passenger-vehicle traffic patterns had a measurable impact on platoon performance, but…
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Ambient Temperature (20°F, 72°F and 95°F) Impact on Fuel and Energy Consumption for Several Conventional Vehicles, Hybrid and Plug-In Hybrid Electric Vehicles and Battery Electric Vehicle

US Dept of Energy-Lee Slezak, David Anderson
Argonne National Laboratory-Henning Lohse-Busch, Michael Duoba, Eric Rask, Kevin Stutenberg
Published 2013-04-08 by SAE International in United States
This paper determines the impact of ambient temperature on energy consumption of a variety of vehicles in the laboratory. Several conventional vehicles, several hybrid electric vehicles, a plug-in hybrid electric vehicle and a battery electric vehicle were tested for fuel and energy consumption under test cell conditions of 20°F, 72°F and 95°F with 850 W/m₂ of emulated radiant solar energy on the UDDS, HWFET and US06 drive cycles.At 20°F, the energy consumption increase compared to 72°F ranges from 2% to 100%. The largest increases in energy consumption occur during a cold start, when the powertrain losses are highest, but once the powertrains reach their operating temperatures, the energy consumption increases are decreased. At 95°F, the energy consumption increase ranges from 2% to 70%, and these increases are due to the extra energy required to run the air-conditioning system to maintain 72°F cabin temperatures. These increases in energy consumption depend on the air-conditioning system type, powertrain architecture, powertrain capabilities and drive patterns. The more efficient the powertrain, the larger the impact of climate control (heating or…
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