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인휠 독립구동 차량에 대한 노면 마찰계수 추정 및 TCS 제어 알고리즘 개발
고성연(Sungyeon Ko),고지원(Jiwon Ko),김정욱(Jungwook Kim),이상문(Sangmoon Lee),천재승(Jaeseung Cheon),김현수(Hyunsoo Kim) 한국자동차공학회 2011 한국자동차공학회 학술대회 및 전시회 Vol.2011 No.11
In this study, a road friction estimation and TCS control algorithms were proposed for an in-wheel electric vehicle. Road friction estimation algorithm estimates the road friction when the vehicle is running on a slippery road based on the vehicle dynamics and sensor measurements. Furthermore, the proposed method does not used tire characteristic map, so it is robust for change of tire at real vehicle. TCS control algorithm controls each of wheels using in-wheel motor when the vehicle slip on a slippery road. As a result, the vehicle is running on a slippery road safely by using TCS control algorithm. To validate of the proposed road friction estimation and TCS control algorithm, a co-simulator was developed, which combined the vehicle performance simulator based on MATLAB/Simulink and the vehicle model of CarSim.
후륜 인휠 하이브리드 자동차의 회생제동 협조제어 알고리즘 개발
고성연(Sungyeon Ko),고지원(Jiwon Ko),김현수(Hyunsoo Kim) 한국자동차공학회 2012 한국자동차공학회 부문종합 학술대회 Vol.2012 No.5
Co-operative control algorithms for an in-wheel hybrid electric vehicle were proposed for the regenerative braking of the rear in-wheel motors and friction braking of the front and rear wheels. The regenerative braking algorithm (Ⅰ) was developed based on actual brake force curve, which distributes the front and rear braking force linearly and the regenerative braking algorithm (Ⅱ) was developed to increase the regenerative braking energy by control of the rear motor torque at low deceleration regions. To evaluate performance of the proposed control algorithm (Ⅰ) and (Ⅱ), co-simulator was developed, which combined the vehicle performance simulator based on MATLAB/Simulink and the vehicle model of CarSim. It was found from the simulation that the regenerative braking energy of the algorithm (Ⅱ) was much higher than that of the algorithm (Ⅰ).