Enquire Now
IEEE 2026 · V2G G2V MATLAB Simulink · Bidirectional EV Charger · SOC Control · Grid Frequency Regulation · Bangalore

V2G and G2V MATLAB Simulation

The definitive guide to Vehicle-to-Grid (V2G) and Grid-to-Vehicle (G2V) MATLAB/Simulink simulation — covering bidirectional DC-DC/AC converter circuits, Phase-Locked Loop grid synchronisation, SOC-based power dispatch, droop frequency control, THD analysis and smart charging algorithms. Includes Simulink block diagrams, annotated circuit models and sample MATLAB scripts for EEE, ECE and EV-stream final year BE, BTech and MTech projects in Bangalore. Complete project delivery: .slx Simulink model, MATLAB code, IEEE 2026 paper, report, PPT and viva support.

6+
Simulink Circuits
8+
Sample Scripts
IEEE
2026 Papers
5K+
Projects Delivered

V2G & G2V MATLAB Simulink Simulation

Software Tools & Platforms Used

Industry-standard simulation environments for V2G and G2V power electronics modelling — used at VTU, Anna University, NIT, IIT, MIT and ETH Zurich for bidirectional EV charger research and final year projects.

MATLAB R2024b Simulink / Simscape Simscape Electrical (SimPowerSystems) Python (control, scipy) PLECS (Thermal) PSIM PSCAD / EMTDC GridLAB-D OpenEMS ANSYS Simplorer
Vehicle-to-Grid (V2G) — Theory & System Architecture
Bidirectional Power Flow · Grid Services · Reactive Power Support · Frequency Regulation · Peak Shaving

What is V2G and How Does it Work?

Vehicle-to-Grid (V2G) is a technology that allows an EV battery to act as a distributed energy resource — discharging stored DC energy back through a bidirectional on-board or off-board charger, converting it to AC and synchronising it with the utility grid. The EV effectively becomes a mobile grid-connected inverter, capable of providing real power (kW), reactive power (kVAR) and ancillary services including frequency regulation, peak shaving and spinning reserve.

In a MATLAB/Simulink simulation, the V2G system is modelled as a battery block → bidirectional DC-DC boost converter → H-bridge VSI (Voltage Source Inverter) → LC output filter → grid coupling transformer, with an outer voltage/frequency control loop and an inner current control loop driving the IGBT gate signals via SPWM or Space-Vector PWM (SVPWM).

  • Grid Services provided by V2G: Frequency regulation (primary & secondary), Voltage support (reactive power injection), Peak demand shaving, Spinning reserve, Emergency backup supply
  • V2G Power Flow: Battery (300–800 V DC) → DC-DC converter (boost to 700 V DC bus) → VSI (H-bridge IGBT) → LC filter → 230 V AC / 11 kV grid
  • Control Hierarchy: Grid-level aggregator → EVSE controller → Charger DSP → IGBT gate driver (PWM 10–20 kHz)
  • Key Standards: IEC 61851-23, SAE J3068, CHAdeMO 3.0, ISO 15118 (PLC communication), IEEE 2030.5
MATLAB Simulink Note: Use Simscape Electrical → Specialised Power Systems → Power Electronics library for Universal Bridge (IGBT), LC Filter, Three-Phase Source and Battery blocks. Set Powergui solver to discrete (Ts = 5 µs) for accurate switching waveforms in V2G simulation.
Grid-to-Vehicle (G2V) — Smart Charging Architecture
AC/DC Rectification · PFC · Constant Current/Voltage Charging · Smart Scheduling · Demand Response

G2V Smart Charging — What the Simulink Model Captures

Grid-to-Vehicle (G2V) refers to the conventional charging direction: AC grid power → AC/DC rectifier → DC-DC converter (buck/boost) → EV battery. A smart G2V system adds a demand-response layer that schedules charging during low-tariff, low-demand periods, shapes the charging current to minimise harmonic injection and integrates renewable generation availability.

The MATLAB/Simulink G2V model includes a Vienna rectifier or totem-pole PFC (Power Factor Correction) stage achieving PF > 0.99, followed by a dual active bridge (DAB) DC-DC converter with phase-shift modulation for galvanic isolation. The battery charging follows a CC-CV (Constant Current → Constant Voltage) profile managed by a PI current controller and a state machine that monitors SOC from the battery block.

  • Charging Levels simulated: Level 1 (1.9 kW, 230 V AC), Level 2 (7.4–22 kW, 400 V 3-phase), DC Fast Charge (50–350 kW, CHAdeMO/CCS)
  • PFC Stage: Totem-pole bridgeless PFC — two GaN switches, switching frequency 100–300 kHz, THD < 5%
  • Isolation Stage: Dual Active Bridge (DAB) with LLC resonance — 50 kHz, 98%+ efficiency
  • Smart Scheduling Algorithm: Time-of-Use (ToU) tariff minimisation + renewable availability + user departure time constraint — implemented in MATLAB as a linear programme (linprog) or rule-based state machine
Simulink Circuit Diagrams — V2G & G2V Models
Bidirectional DC-DC Boost · H-Bridge VSI · PFC Rectifier · DAB Converter · LC Filter · PLL
Circuit 1 — Full V2G Simulink System (Battery → Bidirectional DC-DC → H-Bridge VSI → Grid)
BATTERY Li-Ion 350 V DC SOC: 20–90% BIDIR. DC-DC BOOST CONVERTER Q1 Q2 Vdc-bus = 700 V H-BRIDGE VSI IGBT Full-Bridge S1 S2 S3 S4 SPWM / SVPWM fsw = 10 kHz LC FILTER L = 2 mH C=10µF XFMR 230V / 11kV 50 Hz, Δ-Y GRID 3-Phase 11 kV AC 50 Hz PLL + PI CURRENT CONTROLLER Phase detection · d-q transform · Current ref tracking SOC ESTIMATOR Coulomb counting · Kalman filter 350V DC 700V DC AC out LV AC HV AC V2G: Power flows EV → Grid (discharge) G2V: Power flows Grid → EV (charge)
Battery / DC Bus
Bidirectional DC-DC Converter
H-Bridge VSI (IGBT)
LC Output Filter
Isolation Transformer
Utility Grid
PLL + PI Controller
Circuit 2 — Bidirectional DC-DC Half-Bridge Converter (Simulink Block Detail)
LOW VOLTAGE SIDE (Battery, 350V) BATT Li-Ion Cin Q1 IGBT+D Gate PWM Q2 IGBT+D mid-point L = 1.5 mH HV bus Cout HIGH VOLTAGE SIDE (DC Bus, 700V) HV DC BUS 700 V DC → VSI V PI CONTROLLER Kp = 0.8 Ki = 50 Iref ← SOC logic Duty = f(Vbus, Ibat) duty Operating Modes V2G: Q2 = active boost | G2V: Q1 = active buck I Ibat feedback
Battery / LV Side (350 V)
IGBT Switches Q1/Q2 + Freewheeling Diodes
Boost Inductor (L = 1.5 mH)
HV DC Bus / Output Capacitor (700 V)
PI Controller with SOC-based current reference
Circuit 3 — PLL + d-q Current Control Loop (Grid Synchronisation & Power Dispatch)
GRID Vabc, Iabc abc → αβ Clarke Transform αβ → dq Park Transform PI — Id Id_ref = P/Vd PI — Iq Iq_ref = Q/Vq dq → αβ Inv. Park SVPWM Gate Signals S1–S6 VSI IGBT Bridge PLL θ = atan2(Vβ,Vα) — 50 Hz lock V2G / G2V d-q Decoupled Current Control for Grid-Connected Inverter Id controls Active Power (P) · Iq controls Reactive Power (Q) · PLL tracks grid angle θ at 50 Hz θ
Grid voltage / current (abc frame)
Clarke Transform (abc→αβ)
Park Transform (αβ→dq) — uses PLL angle θ
PI Controllers — Id (real power) / Iq (reactive power)
SVPWM Gate Signal Generator
PLL — Phase-Locked Loop (50 Hz grid angle tracking)
SOC-Based Power Management — V2G/G2V State Machine
Coulomb Counting · Kalman Filter SOC · Power Dispatch Rules · Battery Degradation · CC-CV Charging

How SOC Controls the V2G/G2V Operating Mode in Simulink

The State of Charge (SOC) is the key variable that determines whether the EV operates in V2G (discharge to grid), G2V (charge from grid) or Standby mode. In the Simulink model, a Stateflow chart or a set of Relay and Switch blocks implements the following decision logic:

  • SOC > 80% and Grid freq < 49.8 Hz: Enter V2G mode — PI controller sets Ibat_ref negative (discharge). Power injected = (SOC − 80%) × P_max_factor.
  • SOC < 20%: Force G2V regardless of grid conditions — battery protection mode. Charger goes to CC phase (constant current = 0.5C).
  • 20% ≤ SOC ≤ 80% and Grid freq > 50.2 Hz: G2V smart charging — ToU tariff scheduling selects minimum-cost charging window.
  • SOC estimation methods in Simulink: (a) Coulomb counting — integrates Ibat over time (simple, drift with time); (b) Extended Kalman Filter (EKF) — uses ECM (Equivalent Circuit Model: R0, R1, C1) for accurate SOC despite noise; (c) Simscape Battery block internal SOC — uses Shepherd model, directly outputs SOC.
  • CC-CV Charging profile: CC phase from SOC = 20% to 80% (constant Ibat = 1C); CV phase from 80% to 100% (constant Vbat = Vnom, decreasing current until Ibat < C/20).

SOC Ramp (G2V CC-CV)

SOC rises linearly from 20% to 80% during CC phase, then curves asymptotically to 100% during CV phase. Simulink Scope: X-axis = time (0–3 h), Y-axis = SOC (0–1 p.u.).

Battery Current (Ibat)

V2G mode: Ibat is negative (discharging). G2V CC phase: Ibat constant at +1C. G2V CV phase: Ibat decays exponentially. Observe with a Simulink Scope block measuring Ibat vs time.

Grid Real Power P (kW)

Transitions between positive (G2V, power drawn from grid) and negative (V2G, power injected to grid). Measured at PCC using an active power block (Vabc × Iabc, dq frame).

DC Bus Voltage (Vbus)

700 V DC bus should remain stable (±2%) during mode transitions. Ripple at the switching frequency (10 kHz) is filtered by Cout. Measured with a Voltage Measurement block in Simulink.

Mode Transition Timing

Stateflow chart outputs a mode signal (0 = Standby, 1 = G2V, 2 = V2G). Plot alongside SOC and Ibat to verify smooth transitions without current spikes at mode changeover.

Battery Terminal Voltage

Vbat rises during G2V (charging) and falls during V2G (discharging) following the OCV-SOC curve of the lithium-ion chemistry (NCM or LFP) defined in the Simulink Battery block parameters.

Grid Frequency Regulation & Droop Control
Primary Frequency Response · Droop Characteristics · Inertia Emulation · Secondary Regulation · Aggregator Model

V2G Frequency Droop Control — Simulink Implementation

The most important grid service a V2G-enabled EV can provide is primary frequency regulation. When grid frequency deviates from 50 Hz (e.g. due to sudden generator trip), the EV charger must respond within 30 seconds by either injecting active power (V2G mode, freq < 49.8 Hz) or absorbing extra power (G2V mode, freq > 50.2 Hz).

In the Simulink model, droop control is implemented as a proportional (P) control law:

ΔP = −(1/R) × Δf   where R = droop coefficient (%), Δf = f_grid − 50 Hz

  • Droop coefficient R: Typically 4–5% for primary response. R = 4% means a 2 Hz frequency deviation produces a 50% rated power response.
  • Simulink blocks used: PLL (measures f_grid) → Subtract (Δf = f − 50) → Gain (−1/R) → Saturation (±P_rated) → Power reference → PI current controller → PWM → IGBT gates
  • Virtual Inertia (Inertia Emulation): V2G can emulate the kinetic energy response of a synchronous generator. Add a derivative term: ΔP_inertia = −2H × d(Δf)/dt, where H is the virtual inertia constant (seconds). Implemented in Simulink as a Transfer Function: H(s) = −2Hs / (1 + Ts·s)
  • Dead-band: A ±0.1 Hz dead-band prevents unnecessary cycling. Implemented as a Dead Zone block in Simulink with Lower = −0.1, Upper = 0.1.
  • Secondary (AGC) regulation: A slow integral loop (time constant 5–30 min) restores SOC after primary response. Requires an aggregator-level control implemented in MATLAB script calling the Simulink model via sim() command.
THD Analysis & Power Quality in V2G/G2V Simulation
Harmonic Spectrum · IEEE 519 Compliance · LCL Filter Design · FFT in Simulink · PF Correction

How to Perform THD Analysis in a V2G Simulink Simulation

Power quality is a critical output of any V2G/G2V MATLAB project. The injected AC current from the EV charger must comply with IEEE 519-2022 (THD < 5% at PCC for systems > 1 MW, < 8% for < 1 MW) and IEC 61000-3-2 for residential chargers.

  • FFT in Simulink: Use the Powergui → FFT Analysis tool. Select the output current signal (To Workspace block), set Start Time = 0.06 s (after transient), Number of cycles = 5, Max frequency = 5 kHz. The tool displays harmonic order vs magnitude (% of fundamental).
  • Typical THD values in simulation: Without filter: 25–35%. With LC filter (L=2mH, C=10µF): 8–12%. With LCL filter (L1=1mH, L2=0.5mH, Cf=20µF, Rd=5Ω): 2–4% (IEEE 519 compliant).
  • Dominant harmonics: For a 10 kHz switching frequency SPWM inverter, dominant harmonics appear at fsw ±2f (9.9 kHz, 10.1 kHz) and 2fsw ±f. The 5th, 7th, 11th, 13th lower-order harmonics arise from dead-time effects and are reduced by dead-time compensation in the PI controller.
  • Power Factor measurement: Insert an Active and Reactive Power block from Simscape. For G2V, PF should be ≥ 0.99 (leading/lagging depending on Iq reference). For V2G, measure both displacement PF and true PF including harmonics.
  • LCL Filter design equations: L1 = (Vdc)/(6·fsw·ΔIL), Cf ≤ 0.05·C_base, L2 = L1/(r·(r²−1)) where r = fsw/f_res. Damping resistor Rd = 1/(3·ω_res·Cf). These are calculated in a companion MATLAB script and parameters fed into the Simulink Filter block.
Sample MATLAB Scripts for V2G & G2V Simulation
Parameter Setup · SOC State Machine · Droop Control · FFT Analysis · Results Export
Script 1 — V2G_G2V_Parameters.m  ·  System Parameter Initialisation MATLAB
%% V2G_G2V_Parameters.m  — Run BEFORE opening the Simulink model
% Projectsatbangalore | IEEE 2026 V2G/G2V Project

%% ── BATTERY PARAMETERS ──────────────────────────────────
clear; clc;
Vbat_nom   = 350;        % Nominal battery voltage (V)
Cbat_Ah    = 60;         % Battery capacity (Ah)
SOC_init   = 0.50;       % Initial SOC (50%)
SOC_min    = 0.20;       % Minimum SOC before forced G2V
SOC_max    = 0.90;       % Maximum SOC before V2G enabled
R0         = 0.01;       % Internal resistance — ohm (ESR)
R1         = 0.005;      % R-C branch resistance
C1         = 1500;       % R-C branch capacitance (F)

%% ── DC-DC CONVERTER ─────────────────────────────────────
Vbus       = 700;         % DC bus voltage target (V)
L_dc       = 1.5e-3;     % Boost inductor (H)
Cin        = 470e-6;     % Input capacitor (F)
Cout       = 1000e-6;    % Output/bus capacitor (F)
fsw_dc     = 20e3;       % DC-DC switching frequency (Hz)
Kp_dcdc    = 0.8;        % PI proportional gain
Ki_dcdc    = 50;         % PI integral gain

%% ── H-BRIDGE VSI ────────────────────────────────────────
Vgrid_rms  = 230;         % Grid phase voltage RMS (V)
f_grid     = 50;          % Grid frequency (Hz)
fsw_inv    = 10e3;        % VSI switching frequency (Hz)
Ts         = 1/fsw_inv/20; % Simulation timestep (5 µs)

%% ── LC / LCL FILTER ─────────────────────────────────────
L1_filt    = 2e-3;        % Inverter-side inductance (H)
L2_filt    = 0.5e-3;     % Grid-side inductance (H)
Cf_filt    = 10e-6;      % Filter capacitance (F)
Rd_filt    = 2.5;         % Damping resistance (Ω)
f_res      = 1/(2*pi) * sqrt((L1_filt+L2_filt)/(L1_filt*L2_filt*Cf_filt));
fprintf('LCL Resonant frequency: %.1f Hz\n', f_res);

%% ── DROOP / FREQUENCY CONTROL ───────────────────────────
R_droop    = 0.04;        % Droop coefficient (4%)
P_rated    = 7400;        % EV charger rated power (W, 7.4 kW)
H_inertia  = 4;           % Virtual inertia constant (s)
deadband_f = 0.1;         % Frequency deadband (Hz)
Tv         = 0.02;        % Virtual inertia filter time const (s)

disp('✔ V2G/G2V parameters loaded into workspace. Open V2G_Model.slx');
Script 2 — SOC_StateLogic.m  ·  SOC-Based V2G/G2V Mode Decision MATLAB
%% SOC_StateLogic.m — Embedded MATLAB Function block in Simulink
% Inputs: SOC (0-1), f_grid (Hz)
% Outputs: mode (0=standby,1=G2V,2=V2G), Iref (A)

function [mode, Iref] = SOC_StateLogic(SOC, f_grid)
    % Persistent variable for mode memory
    persistent current_mode;
    if isempty(current_mode); current_mode = 0; end

    I_CC  = 50;   % CC phase current = 50A (~0.83C for 60Ah bat)
    I_max = 32;   % Max grid current RMS (A) — 7.4kW/230V
    f0    = 50.0; % Nominal frequency
    db    = 0.1;  % Deadband (Hz)
    R     = 0.04; % Droop (4%)

    % ── Priority 1: Battery protection ──────────────────
    if SOC < 0.20
        mode  = 1;      % Force G2V (critical charge)
        Iref  = I_CC;   % CC phase

    % ── Priority 2: Full battery, shed to grid ──────────
    elseif SOC > 0.95
        mode  = 2;      % V2G: small discharge to avoid overcharge
        Iref  = -5;    % Trickle discharge (A, negative = discharge)

    % ── Priority 3: Frequency regulation ────────────────
    elseif (f_grid < f0 - db) && (SOC > 0.30)
        % Frequency low → inject power (V2G)
        delta_f = f0 - f_grid;
        delta_P = (1/R) * (delta_f / f0) * 7400; % Watts
        mode  = 2;
        Iref  = -min(delta_P/230, I_max); % A (negative)

    elseif (f_grid > f0 + db) && (SOC < 0.85)
        % Frequency high → absorb power (G2V fast charge)
        delta_f = f_grid - f0;
        delta_P = (1/R) * (delta_f / f0) * 7400;
        mode  = 1;
        Iref  = min(delta_P/230, I_max); % A (positive)

    else
        % Normal G2V smart charging (off-peak tariff)
        mode  = 1;
        Iref  = I_CC * 0.5; % 50% rate for off-peak
    end
    current_mode = mode;
end
Script 3 — THD_FFT_Analysis.m  ·  Post-Simulation Harmonic Analysis MATLAB
%% THD_FFT_Analysis.m — Run after Simulink simulation completes
% Analyses grid current harmonic content and computes THD

%% Load simulation output (from To Workspace block "Igrid_out")
t     = Igrid_out.time;
Igrid = Igrid_out.signals.values;

%% Steady-state window (skip first 3 cycles = 60ms)
f0     = 50;  fs = 1/Ts;
t_start = 0.06;  t_end = t_start + 10/f0; % 10 cycles
idx    = (t >= t_start) & (t <= t_end);
i_ss   = Igrid(idx);
N      = length(i_ss);

%% FFT
Y      = fft(i_ss, N);
f_axis = (0:N-1) * fs / N;  % Frequency axis
Ymag   = 2/N * abs(Y(1:N/2));
f_axis = f_axis(1:N/2);

%% Find fundamental and harmonics
[~, idx50] = min(abs(f_axis - f0));
I1_mag     = Ymag(idx50);       % Fundamental amplitude
harm_ord   = [3 5 7 9 11 13]; % Odd harmonics to check
THD_sq     = 0;

fprintf('\n── Harmonic Analysis ────────────────────────────────\n');
fprintf('Order  Frequency(Hz)  Magnitude(A)  %% of Fundamental\n');
for h = harm_ord
    [~, idxh] = min(abs(f_axis - h*f0));
    Ih = Ymag(idxh);
    pct = 100*Ih/I1_mag;
    THD_sq = THD_sq + (Ih/I1_mag)^2;
    fprintf('  %2d       %4d          %6.3f A       %5.2f%%\n', h, h*f0, Ih, pct);
end
THD = 100 * sqrt(THD_sq);
fprintf('────────────────────────────────────────────────────\n');
fprintf('Total THD = %.2f%%  (IEEE 519 limit: <5%%)\n', THD);

%% Plot
figure('Name','V2G/G2V Harmonic Spectrum');
subplot(2,1,1); plot(t(idx), i_ss, 'b', 'LineWidth', 1.2);
xlabel('Time (s)'); ylabel('Current (A)');
title('Grid Current Waveform (steady state)'); grid on;

subplot(2,1,2); stem(f_axis(1:300), Ymag(1:300), 'filled', 'Color', [.85 .4 0]);
xlabel('Frequency (Hz)'); ylabel('Magnitude (A)');
title(['Harmonic Spectrum — THD = ', num2str(THD,'%.2f'), '%']); grid on;
xlim([0 1500]);
Script 4 — V2G_Droop_Simulation.m  ·  Frequency Droop Response Sweep MATLAB
%% V2G_Droop_Simulation.m  
% Sweeps grid frequency from 49 to 51 Hz, plots V2G/G2V power response
% Validates droop characteristic P vs Δf

V2G_G2V_Parameters;   % Load base parameters

f_range  = 49.0 : 0.05 : 51.0;   % Grid frequency sweep
P_droop  = zeros(1, length(f_range));
P_inert  = zeros(1, length(f_range));

for k = 1:length(f_range)
    f_now    = f_range(k);
    delta_f  = f_now - 50;
    
    % Droop response (primary)
    if abs(delta_f) < deadband_f
        dP = 0;
    else
        dP = -(1/R_droop) * (delta_f/50) * P_rated;
        dP = max(min(dP, P_rated), -P_rated);   % Clamp
    end
    P_droop(k) = dP;
    
    % Virtual inertia (simplified, df/dt estimated)
    if k > 1
        dfdt = (f_range(k) - f_range(k-1)) / 0.05;
        P_inert(k) = P_droop(k) - 2*H_inertia * dfdt;
    else
        P_inert(k) = P_droop(k);
    end
end

%% Plot droop characteristic
figure('Name','V2G Droop Characteristic');
plot(f_range, P_droop/1000, 'r-', 'LineWidth', 2); hold on;
plot(f_range, P_inert/1000, 'b--','LineWidth', 2);
yline( P_rated/1000,'k:','P\_max G2V');
yline(-P_rated/1000,'k:','P\_max V2G');
xline(49.9,'--'); xline(50.1,'--');
fill([49.9 50.1 50.1 49.9], [-8 -8 8 8], 'y','FaceAlpha',.15);
legend('Droop only','Droop + Virtual Inertia');
xlabel('Grid Frequency (Hz)'); ylabel('EV Power (kW)');
title('V2G/G2V Power vs Grid Frequency — Droop Characteristic (R=4%)');
grid on; grid minor;
% +kW = G2V (charging), -kW = V2G (discharging to grid)
Script 5 — PLL_Design.m  ·  Phase-Locked Loop Tuning & Verification MATLAB
%% PLL_Design.m — SRF-PLL design and Bode plot verification
% Synchronous Reference Frame PLL (SRF-PLL) for V2G grid sync

omega0 = 2*pi*50;   % Nominal grid angular frequency (rad/s)
% PLL PI controller gains (tuned for bandwidth ~30 Hz)
Kp_pll = 132;       % Proportional gain  (rad/s per rad)
Ki_pll = 3600;      % Integral gain      (rad/s² per rad)

% Transfer function of PLL open loop: Kp + Ki/s × 1/s (VCO integrator)
s     = tf('s');
C_pll = Kp_pll + Ki_pll/s;       % PI controller
VCO   = 1/s;                     % VCO = integrator
G_ol  = C_pll * VCO;             % Open-loop TF

% Closed loop
G_cl  = feedback(G_ol, 1);
fprintf('PLL Closed-Loop Poles:\n'); disp(pole(G_cl));

% Check bandwidth and phase margin
[Gm, Pm, Wcg, Wcp] = margin(G_ol);
fprintf('Phase Margin: %.1f deg at %.1f Hz\n', Pm, Wcp/(2*pi));
fprintf('Gain  Margin: %.1f dB\n', 20*log10(Gm));

% Step response: grid phase jump of 30°
theta_jump = pi/6;    % 30 degrees in radians
t_sim = 0:0.0001:0.1;
figure('Name','PLL Step Response');
step(theta_jump * G_cl, t_sim);
title('SRF-PLL Phase Tracking — 30° Phase Jump');
xlabel('Time (s)'); ylabel('Phase angle (rad)'); grid on;
% Expected: settle within 2 cycles (~40 ms) with <5% overshoot

% Bode plot
figure('Name','PLL Open-Loop Bode');
bode(G_ol); grid on;
title('PLL Open-Loop Bode — verify Pm > 45°, BW ~ 200 rad/s');
How to run these scripts in sequence: (1) Run V2G_G2V_Parameters.m to load all workspace variables → (2) Open V2G_Model.slx in Simulink (Powergui: discrete, Ts = 5e-6) → (3) Simulate for 2 seconds → (4) Run THD_FFT_Analysis.m → (5) Run V2G_Droop_Simulation.m for the droop characteristic plot → (6) Run PLL_Design.m for control design verification. All scripts write results to the MATLAB workspace for inclusion in the project report.

V2G and G2V MATLAB Simulink Simulation — Complete Project Support Bangalore

Looking for a complete V2G MATLAB simulation or G2V Simulink project in Bangalore? We provide end-to-end IEEE 2025–2026 Vehicle-to-Grid and Grid-to-Vehicle simulation projects for EEE, ECE and EV-stream BE, BTech and MTech students at VTU, Anna University, JNTU, NIT and IIT affiliated colleges. Our deliverables include the full V2G Simulink model (.slx) with bidirectional DC-DC converter, IGBT H-bridge VSI, LC/LCL filter, PLL, d-q current controllers and SOC-based state machine — plus G2V smart charging simulation with CC-CV profile, ToU tariff scheduling and power factor correction. All models run in MATLAB R2024b with Simscape Electrical (SimPowerSystems) and produce IEEE-standard waveform results for project reports.

✅ V2G MATLAB Simulation Bangalore
✅ G2V Simulink Project 2026
✅ Vehicle to Grid Simulink Circuit
✅ Bidirectional EV Charger MATLAB
✅ V2G SOC Power Management
✅ G2V Smart Charging Simulation
✅ V2G Frequency Droop Control
✅ PLL Grid Synchronisation Simulink
✅ THD Analysis V2G MATLAB
✅ LCL Filter Design EV Charger
✅ V2G Virtual Inertia Simulation
✅ IEEE 519 Power Quality V2G
✅ DC-DC Boost Converter V2G MATLAB
✅ SVPWM H-Bridge VSI Simulink
✅ V2G MTech Project VTU Anna Univ
✅ G2V CC-CV Charging Profile MATLAB

How to Get Your V2G / G2V Simulink Project

A transparent 4-step process from model selection to viva-ready submission for BE, BTech and MTech students in Bangalore.

01
Select Topic & IEEE Paper
Choose from bidirectional charger, droop V2G, SOC management, smart G2V scheduling or THD optimisation. We shortlist the best IEEE 2026 base paper for your department.
02
Simulink Model Build
Complete .slx Simulink model built in MATLAB R2024b — bidirectional DC-DC, VSI, filter, PLL, PI controllers, SOC state machine and Powergui (discrete, Ts = 5 µs).
03
Results & Analysis
All required waveforms — SOC vs time, Ibat, Vbus, grid voltage/current, P/Q, THD spectrum, droop characteristic — captured and annotated for the IEEE project report.
04
Report, PPT & Viva
University-format report (VTU/Anna U/NIT/IIT), IEEE-style PPT, MATLAB script documentation and full V2G/G2V viva Q&A coaching including power electronics, control theory and grid standards questions.

Frequently Asked Questions — V2G G2V MATLAB Simulation

What is V2G and G2V MATLAB Simulink simulation?
V2G (Vehicle-to-Grid) simulation models an EV battery discharging back into the grid via a bidirectional DC-AC inverter. G2V models the reverse — AC grid charging the EV. MATLAB/Simulink is used to model the power electronics (boost converter, H-bridge VSI, LC filter), control loops (PI controllers, PLL, SOC state machine) and grid synchronisation. The Simscape Electrical toolbox provides all required power electronics blocks.
What Simulink blocks are used in a V2G/G2V model?
Key Simulink blocks: Three-Phase Source (grid), Universal Bridge (IGBT H-bridge), Battery (Simscape Electrical — lithium-ion or generic), Bidirectional DC-DC topology (two IGBTs + inductor + capacitors), LC/LCL Filter, Phase-Locked Loop (from Simscape or custom), PI Current Controller (Transfer Function or Discrete PID), Powergui (discrete, Ts = 5 µs), PWM Generator, Scope, To Workspace, and Display. The Stateflow chart handles the SOC-based V2G/G2V mode switching logic.
How is SOC managed in a V2G Simulink simulation?
SOC management uses a state-machine (Stateflow or Embedded MATLAB Function block): when grid frequency drops below 49.9 Hz and SOC > 30%, the EV enters V2G discharge mode. When grid frequency exceeds 50.1 Hz or SOC < 20%, the EV enters G2V charging mode. SOC is estimated via coulomb counting (integration of Ibat) or Extended Kalman Filter using the battery ECM (R0-R1-C1 model). The PI controller then tracks the power reference derived from the droop equation ΔP = −(1/R)·Δf.
How do I measure THD in a V2G MATLAB Simulink model?
After simulation, use Powergui → FFT Analysis: select the grid current signal (from a To Workspace block), set start time to 0.06 s (skip transient), number of cycles = 5, max frequency = 5 kHz. Alternatively, run the companion THD_FFT_Analysis.m script (provided above) which computes THD programmatically and plots the harmonic spectrum. A well-designed LCL filter achieves THD < 3%, compliant with IEEE 519-2022 for grid-connected EV chargers.
Can I get a complete V2G/G2V Simulink project with report and viva support in Bangalore?
Yes. Projectsatbangalore provides complete V2G and G2V MATLAB/Simulink projects — full Simulink model (.slx), all MATLAB scripts, IEEE 2026 base paper, annotated circuit diagrams, waveform results, university-format report (VTU, Anna University, NIT, IIT), PPT presentation and viva Q&A coaching covering power electronics, control theory, SOC management, THD analysis and grid standards (IEEE 519, IEC 61851, SAE J3068). WhatsApp +91 95919 12372 for pricing and topic list.