Improvement of Modeling Consistency for Vehicle Dynamic Analysis Using Design of Experiment. (March 2019)

• Record Type: Journal Article
• Authors: Kim, Doyeong; Moon, Chulwoo; Jeong, Changhyun; Jung, Dohyun
• Is Part Of: IOP conference series. Volume 491(2019)
• Publication Date: 2019-03
• Subjects: Materials science -- Periodicals; 620.1105
• DOI: 10.1088/1757-899X/491/1/012005
• Languages: English
• ISSNs: 1757-8981

Abstract

Abstract: In the present study, a development method for high-accuracy dynamics models using Design of Experiments (DOE) was proposed based on experimental results obtained in full-vehicle dynamic testing. In vehicle dynamics modeling, the design parameters of each model need to be experimentally obtained by measuring their characteristic values or referring to detailed information regarding those models so that these design parameters can be reflected in the modeling process; however, in practice, it is difficult to gain access to detailed information for most design parameters. To analyze the effects on vehicles of design parameters for which relevant data have not been acquired, DOE tools available in Minitab, a statistical analysis program, were employed. As a result, it was possible to identify major design parameters that affected the behavior of vehicle models, and a method to improve the consistency of vehicle models by preferentially modifying those major design parameters was proposed.