Project

# Title Team Members TA Documents Sponsor
100 Driving Habits Feedback Module
 Anna Sako
Elijah Sutton
James Tang
 Lukas Dumasius
# Title

Team Members:
- Elijah Sutton (esutton3)
- James Tang (jhtang2)
- Anna Sako (sako2)

# Problem

According to the Department of Energy a simple change in habits can effect fuel economy by 10%-40% which translates to $0.38-$1.53/gallon saved! https://www.energy.gov/energysaver/driving-more-efficiently Although many drivers are concerned with fuel efficiency and eco-friendly driving, it is often difficult to understand the specific impact of driving habits on emissions. Especially in older vehicles, actionable driving feedback is limited and counter-intuitive.

# Solution

My idea is a small OBDII compatible module that can be retrofit into nearly any vehicle that collects driving data such as throttle, RPM, and speed. This data then be used to infer other data such as transmission state and braking. Collectively this data can be fed live into a lightweight ML model that classifies different driving styles and mistakes before relaying the data to the driver via a distraction-free LED display (RGB strip). The driver can then use this feedback to adjust their driving habits in an intuitive way and achieve the emissions savings that are possible.

# Solution Components

## Subsystem 1

The first subsystem of the design is a PCB that is powered by and interfaces with the OBDII port in a car. This board would use the 12V chassis power stepped down with a buck. It would also use a CAN transceiver to communicate with the ECM of the car to collect data. The MCU on the board would control all communications enough and host a lightweight ML model.

## Subsystem 2

The second subsystem is a distraction-free intuitive LED display that provides the driver with feedback. It needs to be convenient enough to add to the dash of any car, discrete enough to not be distracting, and intuitive enough to give the driver actionable information. This piece of the device defines the entire user experience and is a potential source of danger if it becomes distracting; it is very important to be designed with lots of thought.

## Subsystem 3

The last subsystem is all software. After the MCU collects the data, it needs to process it in order to inform the display. We will start with a threshold / rule-based algorithm that classifies the drivers habits and provides feedback. This will then be developed into a lightweight ML model where improvements can be made.

# Criterion For Success

In order to be effective, this project will collect driving data via OBDII port, control the LED display, and be a self contained power system. At the highest level, this project will be deemed successful if we can improve the vehicles reported fuel-economy for a given trip based on feedback from the device.

Resonant Cavity Field Profiler

Salaj Ganesh, Max Goin, Furkan Yazici

Resonant Cavity Field Profiler

Featured Project

# Team Members:

- Max Goin (jgoin2)

- Furkan Yazici (fyazici2)

- Salaj Ganesh (salajg2)

# Problem

We are interested in completing the project proposal submitted by Starfire for designing a device to tune Resonant Cavity Particle Accelerators. We are working with Tom Houlahan, the engineer responsible for the project, and have met with him to discuss the project already.

Resonant Cavity Particle Accelerators require fine control and characterization of their electric field to function correctly. This can be accomplished by pulling a metal bead through the cavities displacing empty volume occupied by the field, resulting in measurable changes to its operation. This is typically done manually, which is very time-consuming (can take up to 2 days).

# Solution

We intend on massively speeding up this process by designing an apparatus to automate the process using a microcontroller and stepper motor driver. This device will move the bead through all 4 cavities of the accelerator while simultaneously making measurements to estimate the current field conditions in response to the bead. This will help technicians properly tune the cavities to obtain optimum performance.

# Solution Components

## MCU:

STM32Fxxx (depending on availability)

Supplies drive signals to a stepper motor to step the metal bead through the 4 quadrants of the RF cavity. Controls a front panel to indicate the current state of the system. Communicates to an external computer to allow the user to set operating conditions and to log position and field intensity data for further analysis.

An MCU with a decent onboard ADC and DAC would be preferred to keep design complexity minimum. Otherwise, high MIPS performance isn’t critical.

## Frequency-Lock Circuitry:

Maintains a drive frequency that is equal to the resonant frequency. A series of op-amps will filter and form a control loop from output signals from the RF front end before sampling by the ADCs. 2 Op-Amps will be required for this task with no specific performance requirements.

## AC/DC Conversion & Regulation:

Takes an AC voltage(120V, 60Hz) from the wall and supplies a stable DC voltage to power MCU and motor driver. Ripple output must meet minimum specifications as stated in the selected MCU datasheet.

## Stepper Drive:

IC to control a stepper motor. There are many options available, for example, a Trinamic TMC2100. Any stepper driver with a decent resolution will work just fine. The stepper motor will not experience large loading, so the part choice can be very flexible.

## ADC/DAC:

Samples feedback signals from the RF front end and outputs the digital signal to MCU. This component may also be built into the MCU.

## Front Panel Indicator:

Displays the system's current state, most likely a couple of LEDs indicating progress/completion of tuning.

## USB Interface:

Establishes communication between the MCU and computer. This component may also be built into the MCU.

## Software:

Logs the data gathered by the MCU for future use over the USB connection. The position of the metal ball and phase shift will be recorded for analysis.

## Test Bed:

We will have a small (~ 1 foot) proof of concept accelerator for the purposes of testing. It will be supplied by Starfire with the required hardware for testing. This can be left in the lab for us to use as needed. The final demonstration will be with a full-size accelerator.

# Criterion For Success:

- Demonstrate successful field characterization within the resonant cavities on a full-sized accelerator.

- Data will be logged on a PC for later use.

- Characterization completion will be faster than current methods.

- The device would not need any input from an operator until completion.

Project Videos