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차량 제동성능 개선을 위한 타이어 인자 분석 및 최적설계에 대한 연구
기원용(Won Yong Ki),이광우(Gwang Woo Lee),허승진(Seung Jin Heo),강대오(Dae Oh Kang),김기운(Ki Woon Kim) 한국자동차공학회 2016 한국 자동차공학회논문집 Vol.24 No.5
Braking is a basic and an important safety feature for all vehicles, and the final braking performance of a vehicle is determined by the vehicle’s ABS performance and tire performance. However, the combination of excellent ABS and tires will not always ensure good braking performance. This is due to the fact that tire performance has non-linearity and uncertainty in predicting the repeated increase and decrease of wheel slip when activating the ABS, thus increasing the uncertainty of tire performance prediction. Furthermore, existing studies predicted braking performance after using an ABS that used a wheel slip control as a controller, which was different from an actual vehicle’s ABS that controlled angular acceleration, therefore causing a decrease in the prediction accuracy of the braking performance. This paper reverse-designed the ABS that controlled angular acceleration based on the information on brake pressure, etc., which were obtained from vehicle tests, and established a braking performance prediction analysis model by combining a multi-body dynamics(MBD) vehicle model and a magic formula(MF) tire model. The established analysis model was verified after comparing it with the results of the braking tests of an actual vehicle. Using this analysis model, this study analyzed the braking effect by vehicle factor, and finally designed a tire that had optimized braking performance. As a result of this study, it was possible to design the MF tire model whose braking performance improved by 9.2 %.
지식기반 자체조인트 단면 평가 데이터를 이용한 차체 다분야 구속 최적설계 프로세스에 대한 연구
이동호(Dong-Ho Lee),기원용(Won-yong Ki),허승진(Seung-Jin Heo),김정호(Jung-Ho Kim),이경원(Kyungwon Lee) 한국자동차공학회 2015 한국자동차공학회 부문종합 학술대회 Vol.2015 No.5
To achieve effectiveness and optimized design for light weight vehicle body, many concept design methodologies have been studied. However, study using database would be not conducted yet. Therefore, In this study, it is a study on body structure multi-disciplinary optimum design process using knowledge-based body joint cross-section database. The database includes 42 competitive vehicles with 10 cross-sections. Using the database, cross section of body structure is selected for conceptual model construction. The target is reference model`s performance improvement. To select suitable cross section, what-if design method is applied. As a result, crashworthiness is about 15% and static/dynamic stiffness is 3.5% improved And also, body structure`s mass is 0.5% diminished. From this paper, it could be verified that cross-sectional performance affects body structure performance. Moreover, by evaluation of cross-section performance, fast variation of concept design would be capable.