TY - GEN
T1 - Dynamic modification of two-parameter shift schedule for automatic mechanical transmission in electric bus
AU - He, Hongwen
AU - Li, Haonan
AU - Peng, Jiankun
AU - Wu, Jingda
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/12/29
Y1 - 2017/12/29
N2 - Shift schedule, directly affecting the vehicle's performance, is a key technology of automatic mechanical transmission (AMT) control system. In this paper, a two-parameter shift schedules are proposed for a pure electric bus equipped with AMT to get the optimal dynamic performance and economic performance, then an optimum shift schedule method based on fuzzy logic technique is proposed, the algorithm with Takagi-Sugeno mode is on the basis of velocity, acceleration of the vehicle and throttle opening, which combine the two basic shift schedules and calculate an appropriate modification for shift points in the driving. The model of the vehicle is created by Matlab/Simulink and Cruise. The results of simulation indicate that the dynamic modification schedule can improve the economic performance and dynamic performance effectively for the bus.
AB - Shift schedule, directly affecting the vehicle's performance, is a key technology of automatic mechanical transmission (AMT) control system. In this paper, a two-parameter shift schedules are proposed for a pure electric bus equipped with AMT to get the optimal dynamic performance and economic performance, then an optimum shift schedule method based on fuzzy logic technique is proposed, the algorithm with Takagi-Sugeno mode is on the basis of velocity, acceleration of the vehicle and throttle opening, which combine the two basic shift schedules and calculate an appropriate modification for shift points in the driving. The model of the vehicle is created by Matlab/Simulink and Cruise. The results of simulation indicate that the dynamic modification schedule can improve the economic performance and dynamic performance effectively for the bus.
KW - automatic mechanical transmission
KW - fuzzy logic
KW - shift schedule
KW - vehicle performance
UR - https://www.scopus.com/pages/publications/85050352267
U2 - 10.1109/CAC.2017.8244207
DO - 10.1109/CAC.2017.8244207
M3 - Conference contribution
AN - SCOPUS:85050352267
T3 - Proceedings - 2017 Chinese Automation Congress, CAC 2017
SP - 7876
EP - 7880
BT - Proceedings - 2017 Chinese Automation Congress, CAC 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 Chinese Automation Congress, CAC 2017
Y2 - 20 October 2017 through 22 October 2017
ER -