PV Powered BLDC Motor Using Fuzzy Logic MPPT Controller for Electric Vehicle

Environmental and energy efficiency concerns are driving Electric Vehicles (EVs) as a viable sustainable transportation requirement. To enhance the performance and efficiency of EVs, this study introduces a neoteric strategy of combining photovoltaic (PV) power generation with a Brushless DC motor (...

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Bibliographic Details
Published in2023 7th International Conference on Computation System and Information Technology for Sustainable Solutions (CSITSS) pp. 1 - 6
Main Authors Srivani, S G, Narendra Rao, Pandry, Srinivasulu, V, R, Bhavana, Appanna, Appaneravanda Lochan
Format Conference Proceeding
LanguageEnglish
Published IEEE 02.11.2023
Subjects
bidirectional converter
Brushless DC motor (BLDC)
Brushless DC motors
Electric vehicles
Fuzzy logic
Maximum power point trackers
MPPT
SEPIC converter
Switches
Transportation
Voltage
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Summary:Environmental and energy efficiency concerns are driving Electric Vehicles (EVs) as a viable sustainable transportation requirement. To enhance the performance and efficiency of EVs, this study introduces a neoteric strategy of combining photovoltaic (PV) power generation with a Brushless DC motor (BLDC) motor. The Fuzzy algorithm based Maximum power point tracker (MPPT) plays a pivotal role in this setup by maximising the power drawn. Under varying insolation, temperature and environmental circumstances the PV voltage is maintained at a constant level and the duty cycle is fed to the IGBT switch of SEPIC converter. This study emphasises on storing excess energy in a Lithium-Ion battery using a bidirectional converter. Future sustainability in the transportation sector is promised by this system, which bolsters the National E-Mobility initiative focused on disruptive mobility and battery storage. Results from a simulation run in the MATLAB/Simulink environment describe the systems functionality.
DOI:10.1109/CSITSS60515.2023.10333325