Data & Telemetry Bootcamp

Turn your Race Data into Energy Efficiency

Shell Eco-marathon Partner, Schmid Elektronik, continues to host an on-site bootcamp 

Level up your racing game at our best practise bootcamp that comes in two parts! First dive deep into data and telemetry, then hit the track to apply your knowledge firsthand. With a focus on the Minimum Viable Products (MVP) philosophy, we’ll guide you through practical, iterative learning for immediate performance gains. Get ready to accelerate your skills and get ahead in the competition!

New aspects for the 2025 season in Indianapolis/US: 

  1. Interactive Format: Participants will need to bring their laptops, as Marco will be providing a virtual Jupyter Notebook they can load directly into their browsers. This notebook will include Python code for analyzing telemetry data across all three energy types.
  2. Prototypes Welcome: Even though Prototypes don’t currently have telemetry systems, it’s a great time to introduce them to this opportunity, with the expectation that they commit to sharing their data should they use telemetry systems in the future.
  3. Encouraging Data Sharing: While we want to extend the invitation to both Prototype and Urban Concept teams, participation will focus on teams that are open to sharing their telemetry data publicly. It’s worth emphasizing that this is strictly limited to data (not strategies, algorithms, or other proprietary details). We should position this as an opportunity to foster collaboration and learning across the program, rather than a strict limitation.

The bootcamp will be conducted in English.

Bootcamp Part#1: Simple Strategies

Craft Your Winning Edge: Simple Strategies for Instant Impact!

30 minutes including Q&A
On Thursday, April 3rd 2025, at 11:30 am

In this first part of two, you will learn how to familiarize yourself with a racetrack and how to come up with different strategies that you think will work best. They include executable burn & coast patterns for your driver to memorize and create race data. You will use this data in the second part of the bootcamp to gain insights and improve results. The bootcamp concludes with a quiz.

Agenda:

  1. Data Strategy and Off-Track-Award Questions
  2. The role of the telemetry system
  3. Access your race data and standard data dashboarding
  4. Individual data analytics with Python
  5. Explore the Jupyter-Sandbox and play with race data
  6. Pick the low hanging fruits with a race strategy MVP

Access the Python-Notebook Sandbox and play around live with the code:

  1. BE Python Notebook
  2. H2 Python Notebook
  3. ICE Python Notebook

Bootcamp Part#2: Holistic Racing

Drive Your Data: Turning Race Theory into Track Performance!

30minutes including Q&A
On Friday, April 4th 2025, at 14:30 am

Transitioning from theory to action, you’re honing in on tailored race strategies and driving patterns, fine-tuned to your vehicle, driver, and track nuances. Through iterative cycles, you’re carefully crafting race data, ensuring consistency in speed and energy profiles. As your Minimum Viable Product (MVP) evolves, delve deeper into the impact of diverse racing strategies and driving techniques, mastering the art of delivering precision-driven, high-quality attempts. The bootcamp concludes with a short quiz.

Agenda:

  1. Recap Part #1
  2. Discuss Practise Run Data
  3. Racing = Solving a multigoal problem
  4. Create a holistic race strategy
  5. Explore the Jupyter Sandbox
  6. A competitive edge…

Now Python code with the knowledge graph for the track is waiting for you! Its nodes describe the driving states and its edges describe physical processes. Understand how an AI at its core works with the help of this simple neural network! And how you can mathematically express and understand the essence of the world’s things with their often dynamic relationships.

Solve your tricky multi-objective problems, tame the flood of data and master complexity! This will enable you to make incomparably better use of space, time, matter and energy than you do today, and increase your competitiveness.

Install this virtual Python-Environment and play with the neural network with the race track modeled as a graph.

Click on the SpeedProfileOptimisation.ipynb file in the left-hand window of the Python environment and start the program with the two arrows in the menu list.