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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.
나상건(Sanggun Na),이용희(Yonghee Lee),김진성(Jinsung Kim),박성만(Sungman Park),허훈(Hoon Heo) 한국자동차공학회 2010 한국자동차공학회 학술대회 및 전시회 Vol.2010 No.11
In this paper, we describe study on fault diagnosis algorithm of hybrid electric vehicle to improve safety. SVM algorithm is proposed for the diagnosis of electric motor and battery fault. The proposed SVM algorithm is consist of SVDD and SVR techniques. The SVDD technique perform its diagnosis using the accumulated data, regardless of time. And the SVR technique make it possible of diagnosis of system based on continuity of data. The usefulness of the proposed fault diagnosis algorithm has confirmed via fault simulation. This study is performed by using of actual measured data from the operation of a commercial hybrid electric car. The algorithm can be implemented in real time frame and can be used to the fault monitoring system.
In-Wheel Motor 차량의 주행안정성 향상에 관한 연구
이희재(Heejae Lee),박성만(Sungman Park),나상건(Sanggun Na),허훈(Hoon Heo) 한국자동차공학회 2010 한국자동차공학회 부문종합 학술대회 Vol.2010 No.5
Recently electric motors draw lot of attention as one of next generation power source in environment friendly energy. In-Wheel driving vehicle system furnishing electric motor directly to wheel has big advantage of improving its performance by removing all the existing power transmission elements, and provides new concept platform for better efficiency of the vehicle. In-Wheel driving system can implement flexible steering utilizing a speed difference of each wheel. However when motors have same characteristics, the control of complex steering mechanism becomes difficulty in terms of combined control of motor speed and brake distribution. Due to independent wheel driving, the In-Wheel vehicle system is influenced heavily by road condition. In this study, improvement of driving stability on different road conditions such as snowy road, rainy road and unpaved road etc. is focused. Algorithm for the stability control of In-Wheel vehicle driving system is proposed.