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Solar PV Based Electric Vehicle Charging Station Using MATLAB/Simulink
Subject area: Science,Engineering and Technology · Area of research: Solar EV Charging System Modeling
DOI: 10.64388/IREV9I10-1716426
Abstract
Electric vehicle charging stations built on solar PV face two problems that rarely get addressed together. The first is MPPT quality: fixed-step algorithms like Perturb and Observe cannot stop oscillating at steady state, so they waste a small but consistent fraction of available energy indefinitely. The second appears when a Thermoelectric Generator is added for waste heat recovery — connecting TEG output to the same battery as the PV charging path generates transient current spikes that destabilize charging. This paper takes both problems on in a single MATLAB/Simulink simulation. A 25-rule Mamdani Fuzzy Logic MPPT controller replaces the conventional fixed-step algorithm; it adjusts the Boost Converter duty cycle based on the power-voltage slope and its rate of change, and the result is a single startup transient followed by zero steady-state ripple. The Boost Converter output settles to roughly 715 V under nominal irradiance and dips briefly to around 695 V when an irradiance step hits at t = 1.0 s, recovering within a fraction of a second. The TEG feeds a dedicated auxiliary battery through a blocking diode rather than sharing the main battery terminal, which removes the cross-source interference entirely. Five simulation outputs — PV power, converter voltage, main battery SOC, auxiliary battery SOC, and combined battery current — all confirm stable and clean operation across the full two-second test window including the disturbance.
Keywords
Solar PV; Electric Vehicle Charging; Fuzzy Logic MPPT; Thermoelectric Generator; Dual Battery; Boost Converter; MATLAB/Simulink; Waste Heat Recovery
References
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How to cite this paper
@article{1716426,
author = {Dr. D. Srilatha, Peram Vishnuvardhan Reddy, Peravali Sandeep, Shaik Sameer Jan, Shaik Abdul Rehaman; Shaik Thoufiq Hussain},
title = {Solar PV Based Electric Vehicle Charging Station Using MATLAB/Simulink},
journal = {Iconic Research And Engineering Journals},
year = {2026},
volume = {9},
number = {10},
pages = {1446-1454},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1716426.pdf},
abstract = {Electric vehicle charging stations built on solar PV face two problems that rarely get addressed together. The first is MPPT quality: fixed-step algorithms like Perturb and Observe cannot stop oscillating at steady state, so they waste a small but consistent fraction of available energy indefinitely. The second appears when a Thermoelectric Generator is added for waste heat recovery — connecting TEG output to the same battery as the PV charging path generates transient current spikes that destabilize charging. This paper takes both problems on in a single MATLAB/Simulink simulation. A 25-rule Mamdani Fuzzy Logic MPPT controller replaces the conventional fixed-step algorithm; it adjusts the Boost Converter duty cycle based on the power-voltage slope and its rate of change, and the result is a single startup transient followed by zero steady-state ripple. The Boost Converter output settles to roughly 715 V under nominal irradiance and dips briefly to around 695 V when an irradiance step hits at t = 1.0 s, recovering within a fraction of a second. The TEG feeds a dedicated auxiliary battery through a blocking diode rather than sharing the main battery terminal, which removes the cross-source interference entirely. Five simulation outputs — PV power, converter voltage, main battery SOC, auxiliary battery SOC, and combined battery current — all confirm stable and clean operation across the full two-second test window including the disturbance.},
keywords = {Solar PV; Electric Vehicle Charging; Fuzzy Logic MPPT; Thermoelectric Generator; Dual Battery; Boost Converter; MATLAB/Simulink; Waste Heat Recovery},
month = {April},
doi = {https://doi.org/10.64388/IREV9I10-1716426}
}