An Intelligent Supervisor for Adaptive Mode-Switch Control

1993 ◽  
Vol 26 (2) ◽  
pp. 839-842
Author(s):  
J. van Amerongen ◽  
R.A. Hilhorst ◽  
P. Löhnberg ◽  
H.J.A.F. Tulleken
Keyword(s):  
2013 ◽  
Vol 459 ◽  
pp. 361-367 ◽  
Author(s):  
Yi Hsuan Hung ◽  
Chien Hsun Wu ◽  
Chun Ying Lin ◽  
Yu Ming Tung

This paper studies the system modeling and mode-switch control for a novel 3-mode (serial/parallel/pure electric) range-extender electric vehicle (REEV). The REEV is modeled with low-order dynamics of 8 subsystems: the driving pattern, drivers behavior, lithium batteries, a spark-ignition engine, a traction motor, a generator, a 6-speed transmission, and a longitudinal vehicle dynamics. Dynamics of the REEV is the integration of above subsystems. To properly evaluate the system performance of the REEV, a rule-based mode-switch control rule is designed with 7 operation modes (System Ready, EV, Serial, Coast Down, Coast-Down Regen., Idle Regen., Parallel). By applying the control rules for the 3-mode REEV, the vehicle can properly operate. Simulation is conducted on the Matlab/Simulink platform. The results show that this study details the system dynamics of subsystems and the vehicle. Meanwhile the rule-based control strategy governs the subsystems well. The developed simulator can be utilized for specification designs of real vehicles and for vehicle control unit designs in the near future.


2020 ◽  
Author(s):  
Duaa A. Taban ◽  
Ali Al-Zuky ◽  
Anwar H. Al-Saleh ◽  
Haidar J. Mohamad ◽  
Hazim G. Daway

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