Case Study: FS Team Delft optimizes EV race car performance with Marple

How FS Team Delft uses Marple to find the optimal setup for their EV 4WD race car

FS Team Delft, a team of engineers developing high-performance electric race cars, faced a challenge in analyzing the immense volume of data generated by their vehicle's sensors. They needed to process approximately 400,000 data points per second in real time and for post-run analysis, which was often slow and difficult with their existing methods. They turned to Marple's data analysis solution to tackle this.

Marple provided an efficient platform for handling this large data volume, enabling the team to monitor performance in real time and conduct post-analysis. The solution allowed FS Team Delft to compare different test scenarios and configurations, gaining insights to optimize their car's setup. By using Marple, the team streamlined their analysis process, made data-driven decisions, and ultimately improved their race car's overall performance and competitiveness.

FS Team Delft