Project

# Title Team Members TA Documents Sponsor
29 EV Battery Thermal Fault Early Detection & Safety Module
RJ Schneider
Skyler Yoon
Troy Edwards
Wenjing Song video
# Team Members
- RJ Schneider (rs49)
- Skyler Yoon (yy30)
- Troy Edwards (troyre2)
# Problem
Lithium-ion batteries used in electric vehicles can experience abnormal heating due to internal
faults, charging stress, or cooling failure. These thermal issues often begin with localized hot
spots or an unusually fast increase in temperature before visible failure occurs. While vehicle
battery management systems handle internal protection, there is a need for an external, lowvoltage monitoring and diagnostic module that can provide early warning and a hardware-level
safety output for laboratory testing, validation, and educational demonstration environments.
# Solution
We propose a battery thermal fault monitoring module that detects early thermal fault indicators
using multiple temperature sensors and simple decision logic. The system will use two
independent detection paths: a microcontroller-based path for data logging and trend analysis,
and a hardware comparator path for fast threshold-based fault detection. A custom PCB will
integrate sensor interfaces, signal conditioning, control logic, and alert outputs. The system will
be demonstrated using a low-voltage heating element to safely simulate abnormal battery heating
behavior.
# Solution Components
## Subsystem 1 (Thermal Sensing Front-End)
Components:
- 10k NTC Thermistors (x3)
- 1% Precision Resistors (voltage divider networks)
- MCP6002 Rail-to-Rail Op-Amp (or equivalent)
Function:
This subsystem converts temperature changes into analog voltage signals using thermistor
voltage dividers. A simple active low-pass filter is implemented on the PCB to reduce noise from
the heating element and power supply. Multiple sensors allow detection of uneven heating across
the simulated battery surface.
## Subsystem 2 (Dual-Logic Decision Unit)
Components:
- ESP32-WROOM-32 Microcontroller
- LM311 Voltage Comparator
Function:
The ESP32 samples temperature data using its ADC and calculates temperature rate-of-rise to
generate early warning alerts. In parallel, the LM311 comparator directly monitors one sensor
voltage and triggers a fault output when a fixed temperature threshold is exceeded. This provides
a simple hardware backup path that does not rely on firmware execution.
## Subsystem 3 (Power Regulation and Safety Output)
Components:
- 5V to 3.3V LDO Regulator (e.g., AMS1117-3.3)
- SPDT 5V Relay Module
- Logic-Level MOSFET (IRLZ44N or equivalent)
Function:
This subsystem regulates input power for the PCB and provides output signaling. The relay
represents a low-voltage safety cutoff output that simulates a charger-disable or contactor-enable
signal. The MOSFET is used to control the heating element during demonstration and testing.
# Criterion For Success
1. Hardware Fault Trigger:
The comparator-based protection path must activate the relay output within 200 ms of
exceeding a preset temperature threshold.
2. Early Warning Detection:
The ESP32 must trigger a warning alert when the measured temperature rise exceeds a
configured rate-of-rise threshold for at least 3 seconds.
3. Temperature Accuracy:
PCB sensor readings must be within ±1.5°C of a calibrated reference thermometer.
4. Noise Reduction Performance:
The PCB filtering stage must demonstrate reduced ADC signal noise compared to an
unfiltered measurement when the heating element is active.
5. Fail-Safe Behavior:
The relay output must default to an open (safe) state when system power is removed.

Low Cost Distributed Battery Management System

Logan Rosenmayer, Daksh Saraf

Low Cost Distributed Battery Management System

Featured Project

Web Board Link: https://courses.engr.illinois.edu/ece445/pace/view-topic.asp?id=27207

Block Diagram: https://imgur.com/GIzjG8R

Members: Logan Rosenmayer (Rosenma2), Anthony Chemaly(chemaly2)

The goal of this project is to design a low cost BMS (Battery Management System) system that is flexible and modular. The BMS must ensure safe operation of lithium ion batteries by protecting the batteries from: Over temperature, overcharge, overdischarge, and overcurrent all at the cell level. Additionally, the should provide cell balancing to maintain overall pack capacity. Last a BMS should be track SOC(state of charge) and SOH (state of health) of the overall pack.

To meet these goals, we plan to integrate a MCU into each module that will handle measurements and report to the module below it. This allows for reconfiguration of battery’s, module replacements. Currently major companies that offer stackable BMSs don’t offer single cell modularity, require software adjustments and require sense wires to be ran back to the centralized IC. Our proposed solution will be able to remain in the same price range as other centralized solutions by utilizing mass produced general purpose microcontrollers and opto-isolators. This project carries a mix of hardware and software challenges. The software side will consist of communication protocol design, interrupt/sleep cycles, and power management. Hardware will consist of communication level shifting, MCU selection, battery voltage and current monitoring circuits, DC/DC converter all with low power draws and cost. (uAs and ~$2.50 without mounting)