Low-Voltage Battery Management System Trainer
4S Li-ion cell passive balancing, State-of-Charge (SoC) estimation, and over-voltage/current protection board.
Project Overview
Designed for EV battery packs. Uses precision ADC channels to sample individual cell voltages, controls MOSFET balancing resistors to prevent thermal runaway, and calculates Coulomb-counting SoC values. ### Practical Student Engineering Solution Fully functional hardware demonstration prototype equipped with dedicated microcontrollers, precision sensors, actuators, and an interactive cloud/mobile telemetry dashboard. ### Key Learning Outcomes - Embedded C / MicroPython firmware architecture and sensor interfacing - IoT telemetry protocols (MQTT / HTTP / BLE / LoRaWAN) - Power regulation, hardware debugging, and PCB design principles - Comprehensive technical documentation aligned with IEEE academic standards
Modern commercial and industrial infrastructure requires automated, real-time sensing and telemetry. Conventional manual monitoring suffers from high latency, human error, and lack of predictive fault visibility for Low-Voltage Battery Management System Trainer.
A turnkey engineering prototype integrating high-precision sensor modules, dedicated microcontroller unit, and cloud telemetry protocols to automate measurement, trigger alert thresholds, and provide remote dashboard control.