scholarly journals Energy Management of Parallel-Connected Cells in Electric Vehicles Based on Fuzzy Logic Control

Energies ◽  
2017 ◽  
Vol 10 (3) ◽  
pp. 404 ◽  
Author(s):  
Chuanxue Song ◽  
Yulong Shao ◽  
Shixin Song ◽  
Cheng Chang ◽  
Fang Zhou ◽  
...  
2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Guodong Yin ◽  
Shanbao Wang ◽  
Xianjian Jin

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.


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