scholarly journals Design and Implementation of Bipolar Sepic-Cuk Converter with Fuzzy Logic Control for Battery Charging Application

2021 ◽  
Vol 1096 (1) ◽  
pp. 012067
Author(s):  
D J Triandy ◽  
E Wahjono ◽  
F D Murdianto
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Control ◽  
Battery Charging ◽  
Cuk Converter ◽  
Design And Implementation ◽  
Logic Control

scholarly journals Design and Implementation Buck Converter for 540WP Solar Charger Using Fuzzy Logic Control

2018 ◽  
Vol 43 ◽  
pp. 01009
Author(s):  
Sutedjo ◽  
Ony Asrarul Qudsi ◽  
Andi Ardianto ◽  
Diah Septi Yanaratri ◽  
Suhariningsih ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Duty Cycle ◽  
Fuzzy Logic Control ◽  
Buck Converter ◽  
Test Results ◽  
Constant Voltage ◽  
Battery Charging ◽  
Set Point ◽  
Design And Implementation ◽  
Logic Control

This paper presents the details of design and implementation of DC-DC Buck converter as solar charger. This converter is designed for charging a battery with a capacity of 100 Ah (Ampere Hours) which has a charging voltage of 27.4 volts. The constant voltage method is selected on battery charging with the specified set point. To ensure the charging voltage is always on the set point, the duty cycle control of buck converter is set using Fuzzy Logic Control (FLC). The design implementation has been tested on PV (photovoltaic) with 540WP capacity. Based on the test results, this method is quite well implemented on the problem charger

Implementation of Fuzzy Logic Control on Battery Charging System

2019 ◽  
Vol 3 (1) ◽  
pp. 118-126 ◽  
Author(s):  
Prihangkasa Yudhiyantoro
Keyword(s):  
Complex System ◽  
Fuzzy Logic ◽  
Fuzzy Logic Control ◽  
Expert Knowledge ◽  
Experimental Result ◽  
Rule Base ◽  
Battery Charging ◽  
Charging System ◽  
Logic Control ◽  
Charging Control

This paper presents the implementation fuzzy logic control on the battery charging system. To control the charging process is a complex system due to the exponential relationship between the charging voltage, charging current and the charging time. The effective of charging process controller is needed to maintain the charging process. Because if the charging process cannot under control, it can reduce the cycle life of the battery and it can damage the battery as well. In order to get charging control effectively, the Fuzzy Logic Control (FLC) for a Valve Regulated Lead-Acid Battery (VRLA) Charger is being embedded in the charging system unit. One of the advantages of using FLC beside the PID controller is the fact that, we don’t need a mathematical model and several parameters of coefficient charge and discharge to software implementation in this complex system. The research is started by the hardware development where the charging method and the combination of the battery charging system itself to prepare, then the study of the fuzzy logic controller in the relation of the charging control, and the determination of the parameter for the charging unit will be carefully investigated. Through the experimental result and from the expert knowledge, that is very helpful for tuning of the  embership function and the rule base of the fuzzy controller.

Study on a Fuzzy Logic Control Strategy of Regenerative Brake for Vehicular Hybrid Power Source

2014 ◽  
Vol 945-949 ◽  
pp. 1547-1551
Author(s):  
Tao Sun ◽  
Yu Kun Sun ◽  
Xiang Wang
Keyword(s):  
Fuzzy Logic ◽  
Control Strategy ◽  
Fuzzy Logic Control ◽  
Hybrid Electric Vehicle ◽  
Power Source ◽  
Pollutant Emissions ◽  
Battery Charging ◽  
Hybrid Power ◽  
Logic Control ◽  
Hybrid Power Source

Due to the lack of cruising ability in HEV(Hybrid Electric Vehicle), along with concerns about environmental issues, a hybrid power source built from a battery and an ultracapacitor is used as vehicular power source and is charged during braking processes. Based on the rule of “the lower ultracapacitor voltage, the less battery charging; the higher ultracapacitor voltage, the more battery charging”, this paper adopts a fuzzy logic control strategy to supervise the braking energy. Simulation results obtained using MATLAB/SIMULINK indicate that this method can effectively manage the energy distribution during regenerative braking processes and extend driving distance. Furthermore, the present approach provides an improvement in fuel economy and reduces pollutant emissions.

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