Fuzzy logic control for an electric vehicles fast charging station

2016 ◽  
Author(s):  
Pablo Garcia-Trivino ◽  
Luis M. Fernandez-Ramirez ◽  
Juan P. Torreglosa ◽  
Francisco Jurado
Keyword(s):  
Fuzzy Logic ◽  
Electric Vehicles ◽  
Fuzzy Logic Control ◽  
Charging Station ◽  
Logic Control ◽  
Fast Charging ◽  
Fast Charging Station

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 ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Energy Management ◽  
Electric Vehicles ◽  
Fuzzy Logic Control ◽  
Logic Control

scholarly journals DESIGN AND DEVELOPMENT OF FAST CHARGING BATTERY USING FUZZY LOGIC CONTROL TECHNIQUE

2019 ◽  
Vol 1 (1) ◽  
pp. 19
Author(s):  
Muhammad Nizam ◽  
Naji Abdalaziz Ali
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Control ◽  
Cycle Performance ◽  
Control Technique ◽  
Battery Life ◽  
Battery Charger ◽  
Control Techniques ◽  
Logic Control ◽  
Battery Chargers ◽  
Fast Charging

<span lang="EN-US">Battery charging is an important issue when it is associated with battery life and cycle performance. The aim of this research is to design and promote fast battery chargers using fuzzy logic control techniques (FLC) for LiFePO4 batteries have been developed. The proposed charger is controlled by voltage and current to activate the PWM duty. The results show that the proposed battery charger has the potential to accelerate charging up to 37% at the rate when charging 2C. This means it is faster than the existing filling. The charger proposed by the FLC method is also capable of charging LiFePO4 batteries with greater efficiency, which is 82%. It can be concluded that the FLC application method has better performance than the CC-CV method</span>

Decentralized Fuzzy Logic Control of Microgrid for Electric Vehicle Charging Station

2018 ◽  
Vol 6 (2) ◽  
pp. 726-737 ◽  
Author(s):  
Pablo Garcia-Trivino ◽  
Juan P. Torreglosa ◽  
Luis M. Fernandez-Ramirez ◽  
Francisco Jurado
Keyword(s):  
Fuzzy Logic ◽  
Electric Vehicle ◽  
Fuzzy Logic Control ◽  
Charging Station ◽  
Electric Vehicle Charging ◽  
Logic Control ◽  
Vehicle Charging

scholarly journals Modeling and Analysis of a Fast Charging Station and Evaluation of Service Quality for Electric Vehicles

2019 ◽  
Vol 5 (1) ◽  
pp. 215-225 ◽  
Author(s):  
Emin Ucer ◽  
Isil Koyuncu ◽  
Mithat C. Kisacikoglu ◽  
Mesut Yavuz ◽  
Andrew Meintz ◽  
...  
Keyword(s):  
Service Quality ◽  
Electric Vehicles ◽  
Modeling And Analysis ◽  
Charging Station ◽  
Fast Charging ◽  
Fast Charging Station

scholarly journals Optimal Slip Ratio Based Fuzzy Control of Acceleration Slip Regulation for Four-Wheel Independent Driving Electric Vehicles

2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Guodong Yin ◽  
Shanbao Wang ◽  
Xianjian Jin
Keyword(s):  
Fuzzy Logic ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
Fuzzy Logic Control ◽  
Fuzzy Controller ◽  
Angular Acceleration ◽  
Slip Rate ◽  
Wheel Slip ◽  
Slip Ratio ◽  
Logic Control

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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