# EV Internship Projects — Codec Technologies India (2026)
> **Compact layout:** this folder holds one engineering-report PDF per project (`reports/`), a clickable overview (`dashboard.html`) and the complete source tree is published as one archive in [EV-Internship-Projects-Codec-2026](https://github.com/Eswar5313/EV-Internship-Projects-Codec-2026) (unzip → each `NN_*/` project folder runs standalone). Project names in the table link to their report PDF.
**Intern:** Eswar Mahalingam · **Track:** Electric Vehicle Internship · **Submission:** Part 01 — all 10 projects
> **Interactive dashboard:** open [`dashboard.html`](dashboard.html) in a browser for a clickable overview — each card opens the matching project. (Enable GitHub Pages to view it as a live site.)
This repository holds my completed work for every project on the Codec Technologies EV internship project list. Each project lives in its own numbered folder and is fully standalone (own `README.md`, `requirements.txt`, entry point, automated tests and generated results), so any folder can be cloned or reviewed on its own. Where the brief names a licensed tool that I did not have (MATLAB/Simulink, HOMER/PVsyst, COMSOL/ANSYS Maxwell, SimaPro), I built the equivalent model in open-source Python and the README of that project maps my modules to the tool's blocks. Where the brief needs hardware (NodeMCU, Arduino, RFID, GPS), the firmware is complete and compile-checked with `arduino-cli`, and the same control logic is proven in a software simulation — but nothing has run on a physical board, which each README states plainly.
| # | Project | Stack | Entry point | Tests |
|---|---------|-------|-------------|-------|
| 1 | [Battery Management System (BMS) Simulation](reports/01_BMS_Simulation.pdf) — 96s2p pack on a 2-RC cell model, Coulomb-counting vs Extended Kalman Filter SOC, capacity/resistance SOH over 500 cycles, lumped thermal model with coolant/heater control, fault detection, passive balancing | Python · NumPy · SciPy · Matplotlib | `python main.py` | 23 passed |
| 2 | [EV Charging Station Locator App](reports/02_EV_Charging_Station_Locator_App.pdf) — Expo / React Native (TypeScript) app with Google Maps (`react-native-maps`, `PROVIDER_GOOGLE`), expo-location, Open Charge Map client with declared-synthetic fallback data, real-time availability (Firebase RTDB / ThingSpeak / simulated), charging-stop route optimiser (greedy corridor + Dijkstra), Leaflet web demo built from the same logic | React Native · Expo · TypeScript · Jest | `npx expo start` (in `app/`), `web-demo/index.html` | 55 passed, `tsc` 0 errors |
| 3 | [Solar-Powered EV Charging Station Design](reports/03_Solar_Powered_EV_Charging_Station.pdf) — HOMER-style 8760-hour techno-economic simulation for Ghaziabad on real NASA POWER irradiance, stochastic EV demand, LiFePO4 storage dispatch, 247-point PV × battery sizing grid, NPC/LCOE/payback, Excel workbook with live formulas | Python · Pandas · openpyxl | `python main.py` | 11 passed |
| 4 | [AI-Powered Driving Efficiency Optimizer](reports/04_AI_Driving_Efficiency_Optimizer.pdf) — physics-based trip simulator (declared synthetic), 19 behaviour features, Ridge vs RandomForest vs GradientBoosting Wh/km prediction (R² 0.975), driver-style classifier (95 % accuracy), counterfactual driving-tip recommender | Python · Scikit-learn · Pandas · Jupyter | `python main.py` | 13 passed |
| 5 | [EV Drivetrain Modeling and Simulation](reports/05_EV_Drivetrain_Modeling_Simulation.pdf) — Simulink-equivalent Python model: PMSM / induction / brushed-DC motors with loss maps, IGBT vs SiC inverter, single-speed gearbox with ratio sweep, Rint pack, backward + forward-PI simulation on WLTP- and MIDC-like cycles, AC vs DC efficiency comparison | Python · NumPy · SciPy · Matplotlib | `python main.py` | 15 passed |
| 6 | [IoT-Based EV Health Monitoring System](reports/06_IoT_EV_Health_Monitoring_System.pdf) — NodeMCU firmware (INA219 + DS18B20 + 12 V divider → ThingSpeak or Firebase, compile-checked), Raspberry Pi alternative, seeded pack simulator, offline ThingSpeak-compatible mock cloud, single-file responsive web dashboard | C++ (ESP8266) · Python · Flask · HTML/JS | `python run_demo.py` | 17 passed |
| 7 | [Lifecycle Analysis of an Electric Vehicle](reports/07_EV_Lifecycle_Analysis.pdf) — screening-level cradle-to-grave LCA (materials, battery, use phase on India/EU/RE grids, maintenance, end-of-life with recycling credit) for a compact EV vs petrol car and e-scooter vs petrol scooter, break-even km, tornado sensitivity, fully-sourced Excel workbook | Python · Matplotlib · openpyxl | `python main.py` | 11 passed |
| 8 | [Smart Traffic Light with EV Priority](reports/08_Smart_Traffic_Light_EV_Priority.pdf) — Arduino Uno controller with MFRC522 RFID whitelist, ETA-aware pre-emption state machine with fairness/starvation guards (compile-checked), NEO-6M + HC-12 GPS variant, Wokwi circuit, SimPy intersection simulation (120 runs) | C++ (AVR) · Python · SimPy | `python simulation/run_experiments.py` | 26 passed |
| 9 | [Wireless Charging System Design](reports/09_Wireless_Charging_System_Design.pdf) — analytical + numerical (Neumann filament, Biot–Savart) model in place of COMSOL/Maxwell: SAE J2954 WPT2 7.7 kW coil pair, SS and LCC-S compensation at 85 kHz, efficiency vs gap/misalignment/load, loss breakdown, B-field map vs ICNIRP limit | Python · NumPy · SciPy | `python main.py` | 15 passed |
| 10 | [EV Market Forecast Dashboard](reports/10_EV_Market_Forecast_Dashboard.pdf) — real IEA Global EV Data Explorer data (GEO 2026, CC BY 4.0), 20 sourced government policies, logistic / Bass / CAGR growth models to 2035, interactive Plotly Dash app (Overview · Forecast · Map · Policies · Data & Sources) plus offline static HTML | Python · Pandas · Plotly · Dash | `python src/app.py` | 40 passed |
**Total: 226 automated tests across 10 projects, all passing.**
## Quick start
```bash
git clone https://github.com/
