Artificial Intelligence - Enhanced PFC Control for Electric Vehicle Charger Using Boost Converter

Jeyashree, A and Nandhan, B and Madheshwaran, S and Girinith, R and Abhinesh, S R (2024) Artificial Intelligence - Enhanced PFC Control for Electric Vehicle Charger Using Boost Converter. In: 2024 International Conference on Smart Systems for Electrical, Electronics, Communication and Computer Engineering (ICSSEECC), Coimbatore, India.

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Abstract

One of the main goals of sustainable development is affordable and clean energy. Energy generated using fossil fuels must be reduced as the emission of greenhouse gases is more which leads to global warming. To achieve sustainable development Electric Vehicles are introduced which reduce carbon emissions compared to combustion engines. Nowadays, electric vehicles are growing faster, especially in two two-wheeler segments. Most of the two-wheelers and a few four-wheelers are charged from household AC supply. The AC supply is generated from power plants like thermal, hydropower plants, etc., which also use some kind of fossil fuels and emit carbon which affects the environment. An EV is powered by a battery pack and the battery pack is a DC source. So, the AC is converted to DC and given to a variable load battery pack. As the load voltage changes with respect to time, the power factor of the input AC supply cannot be maintained in unity. Power factor plays a critical role in power transmission. Power loss happens as the power factor is not unity. To maintain the power factor unity the duty cycle of the boost converter is changed based on the input AC voltage, current, rectified DC voltage, and output voltage from the boost converter. Due to the reduction in power loss while transmission and conversion the battery pack is charged faster with respect to time.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Battery; Battery pack; BOOST converter; Clean energy; Electric vehicles chargers; Energy; Greenhouses gas; Power factors; Powerloss; Two wheelers
Subjects: A Artificial Intelligence and Data Science > Artificial intelligence
D Electrical and Electronics Engineering > Energy
D Electrical and Electronics Engineering > Electric and Hybrid Vehicles
J Physics > Energy storage devices
Divisions: Electrical and Electronics Engineering
Depositing User: Dr Krishnamurthy V
Date Deposited: 21 Sep 2024 06:46
Last Modified: 21 Sep 2024 06:47
URI: https://ir.psgitech.ac.in/id/eprint/1238

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