Identification of the Driving Cycle for University Fleet Vehicles

• Author(s) / Creator(s)

  • Liu, Yang
  • Ansari, Amir
  • Shahbakhti, Mahdi

• A driving cycle represents the operating conditions of a vehicle as a function of vehicle speed and time. It is used for assessment of vehicle energy consumption, tailpipe emissions, and driving behavior. A driving cycle depends on a vehicle application, geographical regions, and driving zones (e.g, urban vs. highway). This paper collects driving data from the University of Alberta fleet vehicles and develops a driving cycle for fleet vehicles. The driving cycle is generated based on the Microtrip combination method. Extraction of the driving cycle is based on using the Principal Component Analysis method, and developing an algorithm for calculating the weights of different parameters using statistical analysis to avoid the excessive weighting caused by the similarity of the physical meaning of the parameters. The process of combining Microtrips into driving cycles is simplified through database simplification and is accelerated by designing an algorithm for selecting Microtrips. The results are presented for five selected university vehicles with same application. The identified driving cycle consists of 24.5% Acceleration, 23.9% Deceleration, 3.9% Cruising, 47.7% Idling. The resulting driving cycle serves as a utility for the development of an intelligent fleet management system.

  Part of the Proceedings of the Canadian Society for Mechanical Engineering International Congress 2022.

• Date created

  2022-06-01

• Subjects / Keywords

  • driving cycle
  • microtrips
  • principal component analysis
  • fleet vehicles

• Type of Item

  Article (Published)

• DOI

  https://doi.org/10.7939/r3-hq3b-0w22

• License

  Attribution-NonCommercial 4.0 International