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퍼지 추론 및 인공 신경망 알고리즘 결합에 의한 타이어 회전저항 예측
최대원(Daewon Choi),김기현(Gihyun Kim),장석희(Sukhee Jang),박태구(Taeku Park),조춘택(Choontack Cho) 한국자동차공학회 2006 한국자동차공학회 춘 추계 학술대회 논문집 Vol.- No.-
Tire manufacturers are trying to reduce the tire rolling resistance for decreasing vehicle fuel consumption. Tire rolling resistance is caused by hysteretic losses of various tire components. This paper represents a prediction system that can forecast the tire rolling resistance in advance before making tire. The algorithm of Fuzzy Inference and Neural Network was applied tor this prediction system. Tire construction and component factors were treated by Fuzzy Inference and Neural Network Algorithm respectively. The achievement of this paper will be applied to automotive and tire industry to reduce energy consumption.