Extracting Tehran Refuse Collection Truck Driving Cycle and Estimating the Braking Energy

سال انتشار: 1398
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 54

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شناسه ملی سند علمی:

JR_IJAEIU-10-1_002

تاریخ نمایه سازی: 4 دی 1402

چکیده مقاله:

Driving cycle is used to assess fuel consumption, pollutant emissions and performance of the vehicle. The aim of this paper is to extract the driving cycle for refuse collection truck and estimate its braking energy. For this purpose, after selecting the target truck and geographic area, the equipment needed to measure the required variables were prepared and mounted on the truck. Then, the actual data were collected from the performance of the target Truck while performing its mission. Since the amount of braking energy depends on the speed, truck mass and road grade, the speed of the vehicle is measured simultaneously with the truck mass and road grade. The collected data are then processed and subdivided into micro-trips. The micro-trips are clustered according to the number of state spaces using the K-Means algorithm. Next, the representative micro trips are selected from within the clusters and the final driving cycle is generated. The representative driving cycle shows that the truck speed is zero at ۴۷% of the working time. Finally, the amount of braking power and accumulative braking energy in the driving cycle is calculated.

نویسندگان

Sohrab Pakdel Bonab

PhD Student of Mechanical Engineering Department, Shahid Rajaee Teacher Training University, Tehran, Iran

Afshin Kazerooni

Assistant Professor of Mechanical Engineering Department, Shahid Rajaee Teacher Training University, Tehran, Iran

Gholamhassan Payganeh

Associate Professor of Mechanical Engineering Department , Shahid Rajaee Teacher Training University, Tehran, Iran

Mohsen Esfahanian

Associate Professor of Mechanical Engineering Department, Isfahan University of Technology, Tehran, Iran

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  • A. Safaei, M. Ha'iri Yazdi, V. Esfahanian, M. Masih Tehrani, ...
  • B. Wang, Y. Luo, J. Zhang, Simulation of city bus ...
  • G.H. Payeganeh, M. Esfahanian, S. Pakdel Bonab, Modeling and fuzzy ...
  • F.A. Bender, M. Kaszynski, O. Sawodny, Drive cycle prediction and ...
  • V. Esfahanian, A. Safaie, H. Nehzati, M. Esfahanian, M. Masih-Tehrani, ...
  • M. Masih-Tehrani, M. Esfahanian, H. Nehzati, V. Esfahanian, S. Jamali, ...
  • M.A. Maimoun, Environmental Study of Solid Waste Collection, in: Department ...
  • Ž. Ivanič, Data collection and development of New York City ...
  • N. Dembski, G. Rizzoni, A. Soliman, J. Fravert, K. Kelly, ...
  • F.A. Bender, O. Sawodny, Development of a refuse truck driving ...
  • A. Fotouhi, M. Montazeri-Gh, Tehran driving cycle development using the ...
  • J. Zhao, Y. Gao, J. Guo, L. Chu, The creation ...
  • STMicroelectronics, LPS۳۳۱AP high-resolution MEMS pressure sensor, in, ۲۰۱۲ ...
  • A. Ivanco, R. Johri, Z. Filipi, Assessing the regeneration potential ...
  • P. Shen, Z. Zhao, J. Li, X. Zhan, Development of ...
  • X. Zhao, Q. Yu, J. Ma, Y. Wu, M. Yu, ...
  • k-means clustering, in, MATLAB Help, ۲۰۱۸. ...
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