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Crawling conditions control for an Automatic Mechanical Transmissions (AMT) Vehicle is described in this paper, an AMT vehicle dynamic model and related control system simulation model based on Matlab / Simulink is built and the fuzzy controller is designed to realize the vehicle crawling control. The vehicle crawling speed can adapt to the driver's driving intent as well as the load changes. The...
In order to make the automatic clutch better in accordance with the “fast, slow, fast” rules for action, this paper presents a multi-mode control. According to clutch engaging process we take P control before the half juncture, engagement speed control section adopts fuzzy control, synchronous speed control section of the use of PID overall control strategy. The experimental results show that, this...
According to the characteristic of commercial vehicle EPS system, this paper proposes application of the fuzzy PID control strategy to EPS system. This strategy adjusts PID parameters online according to the various operating conditions, and its advantages are faster dynamic response speed of fuzzy control and higher precision of PID control. Through Simulink simulation of fuzzy PID control and PID...
This is the second part of the two-part paper to illustrate the control system design and multi-energy strategy, it is the key to fulfill the fuel economy target for ISG hybrid bus. Based on a hierarchical structure, the control system is developed with the HCU (hybrid control unit) as the central controller to coordinate the motor, engine and CAN communication protocol. The multi-energy control strategy...
In order to increase the fuel economy and decrease the emissions of hybrid vehicles, firstly a fuzzy logic control system is presented in this paper. In parallel hybrid vehicles, the whole required torque comes from internal combustion engine and motor engine respectively. Based on the desired torque for driving and state of charge, the fuzzy logic control system determines how the power splits between...
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