scholarly journals Fuzzy Logic Control for energy saving in Autonomous Electric Vehicles

2014 ◽  
Author(s):  
A. O. Al-Jazaeri ◽  
L. Samaranayake ◽  
S. Longo ◽  
D. J. Auger
Keyword(s):  
Fuzzy Logic ◽  
Energy Saving ◽  
Electric Vehicles ◽  
Fuzzy Logic Control ◽  
Logic Control ◽  
Autonomous Electric Vehicles

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 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.

Applying fuzzy logic control to analyze real-time control for charging and discharging power of electric vehicles

2021 ◽  
pp. 1-7
Author(s):  
Feng Liu
Keyword(s):  
Fuzzy Logic ◽  
Real Time ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
Fuzzy Logic Control ◽  
Power Grid ◽  
Regional Distribution ◽  
Real Time Control ◽  
Time Control ◽  
Logic Control

The disorderly charging of large-scale electric vehicles will aggravate the peak-valley difference of the power grid, and affect the power quality and life of the transformer. The fuzzy logic control strategy for charging and discharging optimization of charging vehicles under the framework of fuzzy logic control from the perspective of the group is considered in this article. A real-time control method based on the clustering characteristics of the charging end time is proposed according to the different charging requirements of the connected electric vehicles and fuzzy logic control is adopted to solve the problem of optimal charging and discharging power of the entire cluster and a single electric vehicle. A fuzzy logic control model considering the charging and discharging of electric vehicles is established orienting at minimize daily load fluctuations and control penalties in the upper layer. The charging and discharging cost of electric vehicle owners is considered to solve the optimal control problem of the charging and discharging power of a single electric vehicle. Taking the data of the typical regional distribution network load as an example, it is verified that the real-time charging optimization strategy under fuzzy logic control through simulation can ensure the reliable operation of the power grid while considering the interests of all parties.

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