🔋 Blockchain-Enabled Portable EV Charger

Real-Time IoT Monitoring | Blockchain Ledger | Streamlit Visualization

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📘 Introduction

This project presents a Blockchain-Enabled Portable Electric Vehicle (EV) Charger that ensures secure, transparent, and real-time monitoring of the charging process.
The system integrates MATLAB/Simulink for charger modeling and control, Blockchain for transaction security, and a Streamlit-based web dashboard for live visualization.

The goal is to create a smart, portable, and tamper-proof EV charging system capable of recording every energy transaction with transparency — essential for modern e-mobility infrastructure.

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⚙️ System Overview

The project consists of three integrated layers:

Layer	Description
🧩 1. MATLAB/Simulink Layer	Simulates the EV charging operation, logs real-time parameters such as voltage, current, energy, SOC, and cost.
🔐 2. Blockchain Layer	Converts each charge session into a secure transaction, forming a blockchain ledger (LiveLedger.csv) with hash links to prevent tampering.
💻 3. Streamlit Dashboard	Displays live charger metrics, plots, SOC %, energy, cost, and verifies blockchain integrity in real time.

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🧠 Key Features

• Portable EV Charger Simulation using MATLAB/Simulink.
• Secure Blockchain Ledger with SHA-256 transaction hashing.
• Real-Time Dashboard built with Streamlit for live monitoring.
• SOC, Energy & Cost Calculation based on dynamic charge parameters.
• Cross-Platform: Works on Windows, macOS, or Linux.
• Auto-Refresh Visualization with blockchain integrity validation.

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🧾 Project Working

1. Simulation

   • Run the server_listener.m and then the Simulink model of the portable EV charger.
   • Then, run the BasicData.m to log basic parameters in the workspace.
   • Key parameters (Vout, Iout, SOC, Energy, Cost) are logged to the workspace as Timeseries variables.

2. Transaction Assembly

   • Run transactions.m to convert logs into blockchain-formatted data.
   • The script generates:
     • Transactions.mat → MATLAB structured data.
   • Along this, open addBlock.m script and then run the file build_blockchain_ledger.m.
     • build_blockchain_ledger.m creates ledger records.
   • Finally, run the create_csv_for_streamlit.m file to successfully generate csv file containing dashboard parameters.

3. Visualization

   • Launch the dashboard using:

     python3 -m streamlit run ev_streamlit_dashboard.py

   • View live metrics (SOC, power, cost) and blockchain status updates in the browser.

4. Integrity Verification

   • Each ledger entry is validated via hash links (PrevHash, Hash).
   • Any manual modification breaks integrity → shown as "Blockchain Integrity FAILED" on dashboard.

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🧰 Tools & Technologies

Software / Library	Purpose
MATLAB / Simulink	Charger modeling, logging
Python	Dashboard backend
Streamlit	Live visualization
Pandas	Data processing
Matplotlib	Plot rendering
SHA-256	Blockchain hashing

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👥 Authors

Mohammed Ahmed Majid

Department of Electrical Engineering
Zakir Husain College of Engineering & Technology
Aligarh Muslim University (AMU)

Project submitted for:
MathWorks MATLAB & Simulink Challenge 2025