Design of fuzzy logic controller for solar powered electric vehicle

Bhogireddy Yekambareswari; G. V. Nagesh Kumar; P. Yamuna; B. Sateesh; V. S. V. Satyanarayana; V. Naga Sudha

doi:10.1117/12.2682731

14 August 2023 Design of fuzzy logic controller for solar powered electric vehicle

Bhogireddy Yekambareswari, G. V. Nagesh Kumar, P. Yamuna, B. Sateesh, V. S. V. Satyanarayana, V. Naga Sudha

Proceedings Volume 12758, International Conference on Emerging Materials for Technological Applications (ICEMTA 2022); 1275805 (2023) https://doi.org/10.1117/12.2682731
Event: International Conference on Emerging Materials for Technological Applications (ICEMTA 2022), 2022, Pradesh, India

Abstract

In this paper, an EV battery-based energy storage microgrid is controlled by the fuzzy logic controller, which we use as the backbone of an intelligent energy management system (EMS). Plug-in electric vehicles (EVs) can join the microgrid via a DC rapid charging station. Fuzzy logic controllers are used for each EV's estimated departure time, battery charge level, and rated capacity to calculate how much power of each EV can provide toV2G (vehicle-to-grid) and G2V (grid-to-vehicle) services. An array of solar panels and a battery attached to the Microgridthrough a bidirectional dime converter and a boost converter are the core components of the PVDCM. Both positive and negative currents can move from the power source tothe load whether the PV panels are set up for Maximum power point tracking (MPPT) or maximum voltage operation. To maximize efficiency in the faceof high input current and low input voltage, a new design for a solar the DC/DC converter is givenin this paper. However, thehigh DC/DC converter output power means that a big value of the input current is to be expected, which will possess adetrimental impact on the circuit design and the system's stability. In addition to being able to accept a wide variety of input voltage while maintaining a constant output voltage, the DC/DC converter is protecting the battery from being exposed to an output current, and improves the battery's useful life. Inverter current must be tracked and converted from abc to dq0 for this method to work (Clarke and Park transformation). Here the, two orthogonal phase variables for a Fuzzy controller are carried out by the Park transformation (DQ) on a single-phase inverter.

Citation Download Citation

Bhogireddy Yekambareswari, G. V. Nagesh Kumar, P. Yamuna, B. Sateesh, V. S. V. Satyanarayana, and V. Naga Sudha "Design of fuzzy logic controller for solar powered electric vehicle", Proc. SPIE 12758, International Conference on Emerging Materials for Technological Applications (ICEMTA 2022), 1275805 (14 August 2023); https://doi.org/10.1117/12.2682731

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KEYWORDS

Batteries

Fuzzy logic

Solar energy

Solar cells

Photovoltaics

Design and modelling

Intelligence systems

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