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What we do

Strategy team is in charge of writing algorithms and models that help Midnight Sun race in a more efficient manner. These models take into account both vehicle and environmental factors to make real-time decisions, such as what speed the vehicle should be travelling at while taking into account the upcoming terrain, predicted sun, and current battery level.

The Team

We are an entirely remote team, working through our Github as a repository for all our code.

Strategy General Weekly Meeting: Saturdays 2:30pm EST (see #gen-strategy for the Google Meets link)

Skills

You will develop knowledge of:

  • Git, Git commands

  • Python coding

  • Data science libraries (Matplotlib, Pandas)

  • Optimization techniques

  • Dashboarding

You do not need to have any of the above to join the team! However, with the tasks this term a working of knowledge would be critical to quickly get on board to work on some tasks.

Term Projects

These are the models and projects that will be worked on during F22:

  • RouteModel - accurate modelling the various real-world elements of the race route

    • Loops Optimization - supporting decision-making for optional loops to maximize distance within energy constraints

    • Elevation Optimization - Investigate the potential impacts of elevation changes on the vehicle optimize performance based on readings

    • Wind - Investigate the potential impacts of wind on the vehicle and determine how to accurately model directional wind against MSXV

    • RouteModel GUI - interactive tool to display the race route and update our models

  • Optimization Model - Determine the optimal speed the car should be travelling at based on inputs from all other models

    • Solar Array Testing - Testing solar cell efficiency under different conditions to predict power and energy input under different conditions

    • Solar Model - use of APIs to predict the amount of solar irradiance along the race route and how much energy this will contribute to the battery

    • Weather Model - use of APIs to predict the upcoming weather and temperature of the race route, and how this will affect our race decisions

    • State of Charge (SoC) - calculating the amount of energy in the battery pack and predicting the future efficiency

  • Database - storage of all data that passes through our models, both inputs and outputs

  • Support Projects - Automating functions among the Strategy team to support operations

    • e.g. Finance Dashboard - Creation of a dashboard to graph the team financial information for better reporting

Future Term Projects

  • State of Vehicle (SoV)

    • State of Charge (SoC) - calculating the amount of energy in the battery pack and predicting the future efficiency

    • Telemetry Data - ETL on the car KPI’s to track performance across components of the vehicle

  • Strategy Dashboard - creation of a dashboard using DASH to visualize and graph results from our models

    • Telemetry Dashboard - Creation of the dashboard to receive and model Telemetry data from MSXV for monitoring purposes

  • Support Projects - Automating functions among the Strategy team to support operations

    • e.g. Finance Dashboard - Creation of a dashboard to graph the team financial information for better reporting

Leads

Lead: Rodrigo Tiscareno

Team Advisor: Emma Wai

Project Manager: Prabhav Khera

Route Model Lead: Alicia Bremer

Onboarding

Tasks:

  • Get Python set up on your computer.

  • Get the Strategy Repository from Github installed on your computer using the Getting Started instructions on Github.

  • Attend Strategy General meetings

  • Contact Michael Shiozaki for a task!

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