Transient fuel injection rate and fuel economy prediction for a vehicle driven with FTP-75 mode using an ECU HILS

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A fuel injection system which is operated with ECU HILS was used to evaluate the transient fuel injection rate and fuel economy. Several sensor signals from a car such as the engine speed, car speed, cam position, crank position, air mass flow, throttle position and several other sensor signals are measured and recorded as a data file with DAQ-system for a vehicle driven in FTP-75 mode in a chassis dynamometer. Electric signals that are equivalent to the sensor signals from the car are reconstructed from the recorded data file using DAQ boards and a computer. All the reconstructed sensor signals are provided to the ECU with synchronized timing. Injectors were connected to the ECU output pins and were driven by the system to measure the quantity of injected fuel. The ECU HILS show that the transient fuel injection rate and fuel economy for the car driving mode could be successfully predicted. Also, the repeatability of the generation of sensor signals can enhance the accuracy of a range of experiments related to cars' fuel injection experiment.

Original languageEnglish
Title of host publicationMaterial Researches and Energy Engineering
Pages543-548
Number of pages6
DOIs
StatePublished - 2013
Event2013 International Conference on Future Energy and Materials Research, FEMR 2013 - , Singapore
Duration: 1 Jun 20132 Jun 2013

Publication series

NameAdvanced Materials Research
Volume772
ISSN (Print)1022-6680

Conference

Conference2013 International Conference on Future Energy and Materials Research, FEMR 2013
Country/TerritorySingapore
Period1/06/132/06/13

Keywords

  • ECU
  • FTP-75 mode
  • Fuel economy
  • Fuel injection rate
  • Sensor signal reconstruction

Fingerprint

Dive into the research topics of 'Transient fuel injection rate and fuel economy prediction for a vehicle driven with FTP-75 mode using an ECU HILS'. Together they form a unique fingerprint.

Cite this