Yin Chengliang
Shanghai Jiao Tong University
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Publication
Featured researches published by Yin Chengliang.
International Journal of Modelling, Identification and Control | 2012
Shu Jie; Zhang Yong; Yin Chengliang
In this paper, an adaptive fuzzy sliding mode control scheme is designed for hybrid electric bus. The trajectory tracking control for stopping the bus in a bus station is proposed. The adjustment scheme to the regenerative braking torque is also developed by considering the variation of SOC and braking jerk. The proposed adaptive fuzzy control scheme can recognise the external disturbance and model uncertainties, and then make a compensation control to achieve good tracking performance. The stability and convergence properties of the longitudinal brake control system are analytically proved by using Lyapunov stability theory and Barbalat’s lemma. The simulation results demonstrate that the proposed controller shows an improved dynamic performance and can recover more kinetic energy than the conventional sliding mode controller.
International Journal of Vehicle Design | 2010
Shu Jie; Zhang Yong; Yin Chengliang
In this paper, an adaptive control scheme is designed for the regenerative brake of a hybrid electric bus. The estimated brake torque coefficient is used to produce the input of regenerative braking system. When the brake fade of friction brake happens during a normal brake process, the regenerative brake torque can work as the compensation. Simulations of realistic test scenario with a longitudinal vehicle model are used to validate the proposed control method. The results indicate that the developed regenerative brake control law can provide the hybrid electric bus with an optimised comfort during a normal brake process.
Electric Vehicle Symposium and Exhibition (EVS27), 2013 World | 2013
Zhang Jianlong; Zhao Zheng; Wang Cunlei; Xiong Yunjie; Yin Chengliang
In this paper, we proposed an IoV (Internet of Vehicle) platform, aimed to support the development of BEV (Battery Electric Vehicles). With the help of charging station, there are three main functions of this platform. First, due to network interface deployed on the charging station, BEV will contact backend server with high speed cable network. Second, the charging station will deploy WIFI APs, so that cars and other mobile equipments around the station can connect to internet conveniently. Third, the backend server will offer commercialized multimedia information service, statistical data from BEV, customized vehicle service, etc.
Computer Simulation | 2009
Yin Chengliang
WSEAS TRANSACTIONS on SYSTEMS archive | 2008
Chen Li; Dong Yue-hang; Yin Chengliang; Zhang Jian-wu
Journal of Shanghai Jiaotong University | 2012
Yin Chengliang
WSEAS TRANSACTIONS on SYSTEMS archive | 2008
Dong Yue-hang; Zhang Yong; Yin Chengliang; Zhang Jian-wu; Chen Li
WCX™ 17: SAE World Congress Experience | 2017
Jian Yao; Li Chen; Ding Zhao; Chunhao Lee; Ying Huang; Yin Chengliang
Archive | 2017
Lee Chunhao J; Yao Jian; Chen Li; Ding Zhao; Yin Chengliang
Archive | 2014
Chen Li; Yao Jian; Lee Chunhao J; Yin Chengliang; Kao Chi-Kuan; Samie Farzad; Li Dongxu