Quantifying Repeatability of Real-World On-Road Driving Using Dynamic Time Warping

There are numerous activities in the automotive industry in which a vehicle drives a pre-defined route multiple times such as portable emissions measurement systems testing or real-world electric vehicle range testing. The speed profile is not the same for each drive cycle due to uncontrollable real-world variables such as traffic, stoplights, stalled vehicles, or weather conditions. It can be difficult to compare each run accurately. To this end, this paper presents a method to compare and quantify the repeatability of real-world on-road vehicle driving schedules using dynamic time warping (DTW). DTW is a well-developed computational algorithm which compares two different time-series signals describing the same underlying phenomenon but occurring at different time scales. DTW is applied to real-world, on-road drive cycles, and metrics are developed to quantify similarities between these drive cycles. This methodology is vehicle-agnostic and can be applied to conventional light-duty, hybrid, fully electric or heavy-duty on-road vehicles.

• Record URL:
  https://doi.org/10.4271/2022-01-0269
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/01487191
• Supplemental Notes:
  • Abstract reprinted with permission of SAE International.
• Authors:
  • Lobato, Peter
  • Rayno, Mars
  • Daily, Jeremy
  • Bradley, Thomas
• Conference:
  • WCX SAE World Congress Experience
  • Location: Detroit & Online Michigan, United States
  • Date: 2022-4-5 to 2022-4-7
• Publication Date: 2022-3-29

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Serial:
  • SAE Technical Paper
  • Publisher: Society of Automotive Engineers (SAE)
  • ISSN: 0148-7191
  • EISSN: 2688-3627
  • Serial URL: http://papers.sae.org/

Subject/Index Terms

• TRT Terms: Electric vehicles; Emissions testing; Mathematical models; Stall; Weather and climate
• Subject Areas: Highways; Vehicles and Equipment;

Filing Info

• Accession Number: 01841673
• Record Type: Publication
• Source Agency: SAE International
• Report/Paper Numbers: 2022-01-0269
• Files: TRIS, SAE
• Created Date: Apr 6 2022 2:18PM