AI-Based Smart Battery Management System for EV Applications

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Below is a complete, structured engineering documentation for your project: 🚀 AI-Based Smart Battery Management System for EV Applications (ESP32 + IoT + n8n + AI Agent + Telegram Voice Alerts + Google Sheets + ThingSpeak)
Below is your complete project documentation converted into a single PHP webpage file format. You can directly save it as: index.php and run it on XAMPP / WAMP / any PHP server. ✅ 📄 FULL PHP WEBPAGE (IoT + AI BMS Documentation) AI-Based Smart Battery Management System (EV)

🚀 AI-Based Smart Battery Management System for EV Applications

📌 Project Overview

This project is an AI-powered Smart Battery Management System using ESP32, IoT cloud platforms, n8n automation, Telegram alerts, Google Sheets logging, and ThingSpeak dashboard for EV applications.

⚡ System Architecture

ESP32 Sensors → WiFi → ThingSpeak / n8n Webhook → AI Processing →
Decision Engine → Telegram Alerts → Google Sheets Logging

🔋 Components List

  • ESP32 Microcontroller
  • Voltage Sensor Module
  • Current Sensor (INA219 / ACS712)
  • Temperature Sensor
  • Relay Module
  • OLED Display (optional)
  • Battery Pack

🔌 Circuit Diagram (Text)

Battery → Voltage Sensor → ESP32 GPIO34
Current Sensor → I2C (SDA/SCL)
Temperature Sensor → GPIO 4
Relay → GPIO 26
Buzzer → GPIO 27

💻 ESP32 Code

#include <WiFi.h>
#include <HTTPClient.h>

const char* ssid = "YOUR_WIFI";
const char* password = "YOUR_PASSWORD";

String server = "http://api.thingspeak.com/update?api_key=YOUR_KEY";

void setup() {
  Serial.begin(115200);
  WiFi.begin(ssid, password);
}

void loop() {
  float voltage = analogRead(34);
  float current = analogRead(35);
  float temp = analogRead(32);

  if(WiFi.status() == WL_CONNECTED){
    HTTPClient http;
    String url = server +
    "&field1=" + String(voltage) +
    "&field2=" + String(current) +
    "&field3=" + String(temp);

    http.begin(url);
    http.GET();
    http.end();
  }

  delay(5000);
}

⚙️ n8n Automation Flow

Webhook → IF Condition (Battery Check) →
Telegram Alert → Google Sheets Log

📲 Telegram Bot Setup

  1. Create bot using BotFather
  2. Get API Token
  3. Use token in n8n Telegram node
  4. Get Chat ID from getUpdates API

📊 Google Sheets Integration

Store real-time battery data such as voltage, current, temperature, SOC, and alerts.

☁️ ThingSpeak Dashboard

Used for real-time IoT visualization of EV battery parameters using channels and API keys.

🤖 AI Logic

Power = Voltage × Current

If Temp > 45°C → Warning
If Voltage < 11V → Critical Alert
SOC = (Current / Capacity) × 100

🔊 Voice Alert System

Telegram + AI Text-to-Speech system sends voice alerts when battery is critical.

🚀 Future Enhancements

  • Machine Learning Battery Prediction
  • Mobile App Dashboard
  • GPS Tracking System
  • Edge AI on ESP32

📦 Deployment Steps

  1. Upload ESP32 code
  2. Configure WiFi
  3. Setup n8n workflow
  4. Connect Telegram Bot
  5. Enable ThingSpeak channel
  6. Connect Google Sheets

⚡ Smart EV Battery Management System | AI + IoT + Automation

🚀 What you get with this PHP file ✔ Full project documentation website ✔ Clean UI dashboard style ✔ Ready to host on XAMPP/WAMP ✔ Beginner-friendly IoT explanation page ✔ Works as project submission website 🔥 If you want next upgrade, I can also create: 🌐 Full multi-page PHP website (login + dashboard + charts) 📊 Live real-time ESP32 data dashboard in PHP + MySQL 📈 Chart.js battery analytics dashboard 🤖 AI prediction integrated PHP backend 📱 Mobile responsive IoT web app UI Just tell 👍

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