How Delft University's Engineering Students Make Their EV Formula-Style Race Car Faster with Marple and InfluxDB

Session date: Feb 14, 2023 08:00am (Pacific Time)

Delft University is the oldest and largest technical university in the Netherlands with 25,000+ students. Since 1999, they have had a team of students (undergraduate and graduate) designing, building, and racing cars, as part of the Formula Student worldwide competition. The competition has grown to include teams from 1K+ universities in 20+ countries. Students are responsible for all aspects of car manufacturing (research, construction, testing, developing, marketing, management, and fundraising). Delft University’s team includes 90 students across disciplines.

Discover how Delft University’s team uses Marple and InfluxDB to collect telemetry and sensor metrics while they develop, test, and race their electric cars. They collect sensor data about their EV’s control systems using a time series platform. During races, they are collecting IoT data about their batteries, accelerometer, gyroscope, tires, etc. The engineers are able to share important car stats during races which help the drivers tweak their driving decisions — all with the goal of winning. After races, the entire team are able to analyze data in Marple to understand what to do better next time. By using Marple + InfluxDB, their team are able to collect, share and analyze high frequency car data used to make their car faster at competitions.

Join this webinar as Robbin Baauw and Nero Vanbiervliet dive into:

• Marple’s approach to empowering engineers to organize, analyze, and visualize their data
• Delft University’s collaborative methodology to building and racing their Formula-style race car
• How InfluxDB is crucial to their collaborative engineering and racing process