Project

# Title Team Members TA Documents Sponsor
29 EV Battery Thermal Fault Early Detection & Safety Module
RJ Schneider
Skyler Yoon
Troy Edwards
Wenjing Song
# 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.

Smart Frisbee

Ryan Moser, Blake Yerkes, James Younce

Smart Frisbee

Featured Project

The idea of this project would be to improve upon the 395 project ‘Smart Frisbee’ done by a group that included James Younce. The improvements would be to create a wristband with low power / short range RF capabilities that would be able to transmit a user ID to the frisbee, allowing the frisbee to know what player is holding it. Furthermore, the PCB from the 395 course would be used as a point of reference, but significantly redesigned in order to introduce the transceiver, a high accuracy GPS module, and any other parts that could be modified to decrease power consumption. The frisbee’s current sensors are a GPS module, and an MPU 6050, which houses an accelerometer and gyroscope.

The software of the system on the frisbee would be redesigned and optimized to record various statistics as well as improve gameplay tracking features for teams and individual players. These statistics could be player specific events such as the number of throws, number of catches, longest throw, fastest throw, most goals, etc.

The new hardware would improve the frisbee’s ability to properly moderate gameplay and improve “housekeeping”, such as ensuring that an interception by the other team in the end zone would not be counted as a score. Further improvements would be seen on the software side, as the frisbee in it’s current iteration will score as long as the frisbee was thrown over the endzone, and the only way to eliminate false goals is to press a button within a 10 second window after the goal.