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In-wheel motor 차량의 yaw 안정성 향상을 위한 scheduler 설계
한인재(Injae Han),김진성(Jinsung Kim),권오신(O Shin Kwon),허훈(Hoon Heo) 한국소음진동공학회 2011 한국소음진동공학회 학술대회논문집 Vol.2011 No.4
A scheduling technique for the improvement of yaw motion stability in in-wheel motor vehicle is proposed. Normally vehicle velocity is controlled via conventional PID method. When vehicle is encountered with different road conditions on left and right hand sides, unstable yaw motion is induced due to the driving force difference in both wheels. In this paper a scheduling formular for control gain is derived in terms of experimental results to generate proper counter control action. Simulation result reveals its effective performance in yaw control of in-wheel vehicle.
SVDD 기법을 이용한 하이브리드 전기자동차의 고장검출 알고리즘
나상건(Sanggun Na),전종현(Jonghyun Jeon),한인재(Injae Han),허훈(Hoon Heo) 한국소음진동공학회 2011 한국소음진동공학회 학술대회논문집 Vol.2011 No.4
In this paper, in order to improve safety of hybrid electric vehicle a fault detection algorithm is introduced. The proposed algorithm uses SVDD techniques. Two methods for learning a lot of data are used in this technique. One method is to learn the data incrementally. Another method is to remove the data that does not affect the next learning. Using lines connecting support vectors selection of removing data is made. Using this method, lot of computation time and storage can be saved while learning many data. A battery data of commercial hybrid electrical vehicle is used in this study. In the study fault boundary via SVDD is described and relevant algorithm for virtual fault data is verified. It takes some time to generate fault boundary, nevertheless once the boundary is given, fault diagnosis can be conducted in real time basis.