scholarly journals Electronically tunable ACO based Fuzzy FOPID Controller for effective Speed Control of Electric Vehicle

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Mary Ann George ◽  
Dattaguru V. Kamat ◽  
Ciji Pearl Kurian
Author(s):  
Amartya Singh

Due to increasing growth in urbanization and internet the way of lifestyle has been changing day by day. In order to ensure that harmful emission are monitored and can be controlled the acceptance of electric vehicles has been increased. In this paper we deal with control mechanism of different types of motors used in EVs mainly DC, IM, BLDC and PMSM motors. The paper contains proper MATLAB modelling and speed vs time graph so as to achieve a proper understanding regarding aspects of speed control and problems related to it.


Author(s):  
Poornima V Kulkarni ◽  
Pradnya P Asnotkar ◽  
Prashant M Katageri ◽  
Nagaraj Parameshwar ◽  
Kavita Chachadi

Author(s):  
Kazuyoshi Morozumi ◽  
Ichiro Miki ◽  
Hisao Kubota ◽  
Kouki Matsuse

2012 ◽  
Vol 476-478 ◽  
pp. 944-948 ◽  
Author(s):  
Xiao Long Liu ◽  
Shao Peng Zhu ◽  
Zhi Jun Wu

This paper constructs a dynamic model of a four-wheel drive electric vehicle, which contains a vehicle model and a brushless DC motor model. In order to improve the starting and acceleration performance of the electric vehicle, we design a speed and current double closed-loop speed control system based on the constructed dynamic electric vehicle model. The starting and acceleration process of the electric vehicle is simulated and analyzed by CarSim-Matlab/Simulink co-simulation. The effectiveness of the speed control system is evaluated by the co-simulation results. In addition, the robustness of the speed control system is also analyzed for different vehicle masses.


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