Kriging surrogate model-based design optimization of vehicle and adaptive cruise control parameters considering fuel efficiency

Hansu Kim, Yuho Song, Seungha Lee, Kun Soo Huh, Tae Hee Lee

Research output: Contribution to journalArticle

Abstract

In the past, research has been conducted on the development of an adaptive cruise control algorithm considering fuel efficiency, and an adaptive cruise control system considering fuel efficiency have been developed. However, research on optimizing vehicle and adaptive cruise control parameters in order to maximize performances is insufficient. In this study, the design optimization of vehicle and control parameters considering fuel efficiency, trackability, ride comfort and safe distance is performed. This paper proposes performance measures of vehicle behavior and develops an adaptive cruise control system. In addition, based on the screening of vehicle parameters that significantly influence performances, kriging surrogate models are constructed through a sequential design of experiment, and kriging surrogate model-based design optimization is performed to maximize fuel efficiency and satisfy target performances.

Original languageEnglish
Pages (from-to)817-823
Number of pages7
JournalTransactions of the Korean Society of Mechanical Engineers, A
Volume41
Issue number9
DOIs
StatePublished - 2017 Sep 1

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Adaptive cruise control
Control systems
Design of experiments
Screening
Design optimization

Keywords

  • Adaptive Cruise Control
  • Analysis of Variance
  • Design of Experiment
  • Fuel Efficiency
  • Kriging Surrogate Model

Cite this

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abstract = "In the past, research has been conducted on the development of an adaptive cruise control algorithm considering fuel efficiency, and an adaptive cruise control system considering fuel efficiency have been developed. However, research on optimizing vehicle and adaptive cruise control parameters in order to maximize performances is insufficient. In this study, the design optimization of vehicle and control parameters considering fuel efficiency, trackability, ride comfort and safe distance is performed. This paper proposes performance measures of vehicle behavior and develops an adaptive cruise control system. In addition, based on the screening of vehicle parameters that significantly influence performances, kriging surrogate models are constructed through a sequential design of experiment, and kriging surrogate model-based design optimization is performed to maximize fuel efficiency and satisfy target performances.",
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