Abstract
To improve the driving performance and the stability of the electric vehicle, a novel acceleration slip regulation (ASR) algorithm based on fuzzy logic control strategy is proposed for four-wheel independent driving (4WID) electric vehicles. In the algorithm, angular acceleration and slip rate based fuzzy controller of acceleration slip regulation are designed to maintain the wheel slip within the optimal range by adjusting the motor torque dynamically. In order to evaluate the performance of the algorithm, the models of the main components related to the ASR of the four-wheel independent driving electric vehicle are built in MATLAB/SIMULINK. The simulations show that the driving stability and the safety of the electric vehicle are improved for fuzzy logic control compared with the conventional PID control.
Highlights
The demand for more environmentally friendly and fuel efficient vehicles has been increased in response to growing concerns about a clean environment and saving energy
Based on the threshold angular acceleration and adhesion rate, an antiskid fuzzy logic controller was designed, and the simulation results show that the fuzzy controller can effectively keep the slip rate in a reasonable range [12–15]
If the actual angular acceleration is larger than the threshold angular acceleration, it shows that the drive wheel is in a state of slip
Summary
The demand for more environmentally friendly and fuel efficient vehicles has been increased in response to growing concerns about a clean environment and saving energy. A 4WID electric vehicle employs four in-wheel (or hub) motors to drive the four wheels, and the torque and driving mode of each wheel can be controlled independently. The basic principle of ASR is to control the slip rate of driving wheels within the range of the optimal slip rate. Based on the threshold angular acceleration and adhesion rate, an antiskid fuzzy logic controller was designed, and the simulation results show that the fuzzy controller can effectively keep the slip rate in a reasonable range [12–15]. A fuzzy logic control strategy of acceleration slip regulation based on angular acceleration and slip rate is proposed to maintain the wheel slip within the optimal range by adjusting the motor torque dynamically. The simulation results show that the fuzzy controller effectively prevents driving wheel slipping and reduces the slip rate
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