Verified MATLAB & Simulink Project

Solar EV Charging Station Design & Simulation in MATLAB

Solar EV Charging Station Design & Simulation in MATLAB – MATLAB Simulation Video
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MATLAB R2020a - R2024b
Zero Convergence Errors
Simscape / SimPowerSystems
Complete Simulation Pack 4.9 (120+ Downloads)
$70.00
$101.50
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  • Complete Simulink Model (.slx file)
  • Parameter Init Script (.m file)
  • Scope & Waveform Signals pre-configured
  • Design & Methodology Report (PDF Guide)
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What is Solar EV Charging Station Design & Simulation in MATLAB?

Solar EV Charging Station Design & Simulation in MATLAB is a MATLAB-based technical project and simulation model. Integrating solar photovoltaic (PV) generation with electric vehicle (EV) charging stations reduces grid congestion, lowers commercial charging costs, and minimizes carbon emissions from transport electrification. A solar-powered EV charging station incorporates a rooftop or canopy PV array, Maximum Power Point Tracking (MPPT) boost converters, stationary Battery Energy Storage Systems (BESS), bidirectional DC fast chargers, and a grid-tied Voltage Source Inverter (VSI) for grid backup and energy export. In MATLAB and Simulink, modeling this multi-port power system allows engineers to evaluate power flow balance, design multi-mode Energy Management Systems (EMS), and maintain DC bus voltage stability under fluctuating solar irradiance and variable EV charging demand. This project covers the complete design, power electronics converter modeling, control system implementation, and dynamic performance simulation of a solar EV charging station.

Project Methodology

The design and simulation of a solar-powered EV charging station in MATLAB Simulink follows a structured, step-by-step power electronics and systems engineering workflow:

  1. System Architecture & Component Sizing: Determine the power ratings for the solar PV array (kWp), the stationary buffer battery storage capacity (kWh), the common DC link bus voltage (e.g., 400V or 750V DC), and the peak EV charging port loads.
  2. Solar PV Array & MPPT Modeling: Model the solar PV strings in Simscape Electrical and implement Perturb and Observe (P&O) or Incremental Conductance (INC) MPPT algorithms to drive the DC-DC boost converter, extracting peak power under variable solar irradiance and ambient temperature conditions.
  3. Stationary Battery Storage & Bidirectional Converter: Configure a Lithium-Ion buffer battery pack linked via a bidirectional DC-DC buck-boost converter to buffer solar intermittency, smooth peak EV power demand, and prevent uncoordinated grid drawing.
  4. EV Charging Port & CC-CV Controller: Implement dedicated DC fast-charging ports with dual-mode Constant Current (CC) and Constant Voltage (CV) charging profiles to safely charge EV lithium-ion battery packs while regulating current ripple.
  5. Grid Interface & Inverter Control: Design a bidirectional three-phase grid-tied inverter with Phase-Locked Loop (PLL) synchronization and direct-quadrature (d-q) current control to enable seamless Grid-to-Vehicle (G2V), Vehicle-to-Grid (V2G), and excess solar export modes.
  6. Supervisory Energy Management System (EMS): Program rule-based or state-machine power routing logic to govern power distribution across four operational modes:
    • Direct PV-to-EV charging during high solar generation.
    • Stationary battery support during solar dropouts or peak demand.
    • Grid power import during low solar and depleted storage periods.
    • Grid power export during high solar availability and zero EV load.
  7. Dynamic Simulation & Power Quality Validation: Simulate the complete station across variable daily irradiance curves, stochastic EV arrival and departure cycles, and sudden load steps, verifying DC bus voltage stability (±2%), Total Harmonic Distortion (THD < 5%), and overall system efficiency.

Verified MATLAB Simulation Code Demonstration

Syntax-highlighted executable code demonstration for Solar EV Charging Station Design & Simulation in MATLAB:

MATLAB simulink_physical_model.m
% Dynamic Physical Model & Solver Configuration
clc; clear; close all;

% Hydraulic & Mechanical ODE System Parameters
m = 1.0; c = 0.5; k = 9.0;
ode_sys = @(t, y) [y(2); -(c/m)*y(2) - (k/m)*y(1)];

% Numerical ODE Integration
tspan = [0 10]; y0 = [1.0; 0.0];
[t, y] = ode45(ode_sys, tspan, y0);

fprintf('ODE Physical System Solved across %d Time Steps!\n', length(t));
Solar EV Charging Station Design & Simulation in MATLAB $70.00
$70.00