Improving the Fuel Economy of Class 8 Military Vehicles using a Smart Cruise Control Algorithm

Jeffrey Gonder, Philip Sharer, Aymeric Rousseau, Dominik Karbowski, Daliang Shen, Scott Heim, Kevin Gonyou, Denise Rizzo, Jae Song, Adam Ragatz, Robert Prohaska

Research output: Contribution to conferencePaper

Abstract

Connected and Automated Vehicles (CAVS) have the potential for improving fuel economy by changing the way vehicles are driven. Fuel economy can be improved through a wide range of technologies, many of which do not require Level 5 automation. One of the most promising technologies is a smart cruise control for which a speed-matching algorithm can be designed to account for fuel economy. Accounting for fuel economy in the algorithm leads to different driving behavior than simply matching the driver entered set speed. This paper describes the application of such a smart cruise control to a class 8 vehicle both in simulation and in the actual vehicle on a close test track. This paper evaluates the algorithm and describes the correlation procedure used to calibrate the model using test data from the vehicle.
Original languageAmerican English
Number of pages16
StatePublished - 2017
Event2017 Ground Vehicle Systems Engineering and Technology Symposium (GVSETS): Autonomous Ground Systems (AGS) Technical Session - Novi, Michigan
Duration: 8 Aug 201710 Aug 2017

Conference

Conference2017 Ground Vehicle Systems Engineering and Technology Symposium (GVSETS): Autonomous Ground Systems (AGS) Technical Session
CityNovi, Michigan
Period8/08/1710/08/17

Bibliographical note

Available online from the Michigan Chapter of the National Defense Industrial Association (NDIA) Ground Vehicle Systems Engineering and Technology Symposium (GVSETS) document database

NREL Publication Number

  • NREL/CP-5400-68510

Keywords

  • automated vehicles
  • connected vehicles
  • fuel economy

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