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Derivation of a Representative Engine Duty Cycle from On-Road Heavy-Duty Vehicle Driving Data
College of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, China
Mechanical and Aerospace Engineering Department, Statler College of Engineering and Mineral Resources, West Virginia University, Morgantown, WV, USA
Mechanical and Aerospace Engineering Department, Statler College of Engineering and Mineral Resources, West Virginia University, Morgantown, WV, USA
Mechanical and Aerospace Engineering Department, Statler College of Engineering and Mineral Resources, West Virginia University, Morgantown, WV, USA
Mechanical and Aerospace Engineering Department, Statler College of Engineering and Mineral Resources, West Virginia University, Morgantown, WV, USA
- 1 College of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, China
- 2 Mechanical and Aerospace Engineering Department, Statler College of Engineering and Mineral Resources, West Virginia University, Morgantown, WV, USA
- 3 Mechanical and Aerospace Engineering Department, Statler College of Engineering and Mineral Resources, West Virginia University, Morgantown, WV, USA
- 4 Mechanical and Aerospace Engineering Department, Statler College of Engineering and Mineral Resources, West Virginia University, Morgantown, WV, USA
- 5 Mechanical and Aerospace Engineering Department, Statler College of Engineering and Mineral Resources, West Virginia University, Morgantown, WV, USA
Journal of Transportation Technologies·Volume 07 (2017)·Pages 376–389·Published 15 August 2017·DOI10.4236/jtts.2017.74025
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Abstract
The heavy-duty vehicle fleet involved in delivering water and sand makes noticeable issues of exhaust emissions and fuel consumption in the process of shale gas development. To examine the possibility of converting these heavy-duty diesel engines to run on natural gas-diesel dual-fuel, a transient engine duty cycle representing the real-world engine working conditions is necessary. In this paper, a methodology is proposed, and a target engine duty cycle comprising of 2231 seconds is developed from on-road data collected from 11 on-road sand and water hauling trucks. The similarity of inherent characteristics of the developed cycle and the base trip observed is evidenced by the 2.05% error of standard deviation and average values for normalized engine speed and engine torque. Our results show that the proposed approach is expected to produce a representative cycle of in-use heavy-duty engine behavior.
KeywordsEngine Duty CyclesOn-Road Heavy-Duty VehiclesShale Gas Extraction
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