Extension and Experimental Validation of Fuel Efficient Predictive Adaptive Cruise Control

  • Roman Schmied (Speaker)

Activity: Talk or presentationContributed talkunknown

Description

Advanced driver assistant systems (ADAS) like adaptive cruise control (ACC) are primarily developed to increase safety and driving comfort and nowadays applied to upper class production vehicles. Additional benefits like improvement of fuel economy is a widespread field in research. In this paper a fuel efficient predictive adaptive cruise control (PACC) approach is performed experimentally with a test vehicle. To this end, a model to predict the predecessor’s prospective velocity is introduced which allows anticipatory driving. An online model predictive controller (MPC) calculates the desired acceleration of the following vehicle such that fuel consumption is minimized while keeping constraints to the inter-vehicle distance as well as minimum and maximum vehicle speed and acceleration. Experimental results on a road and in HIL tests show a significant benefit in fuel economy as well as in reduction of NOx and particulate matter emissions of the controlled vehicle compared to its predecessor.
Period03 Jul 2015
Event title2015 American Control Conference (ACC)
Event typeConference
LocationUnited StatesShow on map

Fields of science

  • 207109 Pollutant emission
  • 202027 Mechatronics
  • 206001 Biomedical engineering
  • 202 Electrical Engineering, Electronics, Information Engineering
  • 202034 Control engineering
  • 206002 Electro-medical engineering
  • 203027 Internal combustion engines

JKU Focus areas

  • Mechatronics and Information Processing