Solar PV Based Electric Vehicle Charging Station Using MATLAB/Simulink

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.

Authors

Publication Details

Journal
Iconic Research and Engineering Journals
Published
2026-04-15
DOI
https://doi.org/10.64388/irev9i10-1716426
Primary Topic
Photovoltaic System Optimization Techniques
Type
article
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article

Solar PV Based Electric Vehicle Charging Station Using MATLAB/Simulink

Peram Vishnuvardhan Reddy, Dr. D. Srilatha, Shaik Abdul Rehaman; Shaik Thoufiq Hussain, Shaik Sameer Jan et al.
Iconic Research and Engineering Journals
Photovoltaic System Optimization Techniques
article

Solar PV Based Electric Vehicle Charging Station Using MATLAB/Simulink

Peram Vishnuvardhan Reddy, Dr. D. Srilatha, Shaik Abdul Rehaman; Shaik Thoufiq Hussain, Shaik Sameer Jan, Peravali Sandeep
article en

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.

Iconic Research and Engineering JournalsVol. 9(10)
Openalex Percentile: Top 13%
Photovoltaic System Optimization Techniques
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Solar PV Based Electric Vehicle Charging Station Using MATLAB/Simulink — Peram Vishnuvardhan Reddy, Dr. D. Srilatha, et al. · Iconic Research and Engineering Journals (2026) | TGRS Research Map | TGRS