Formula Student Can Node Redesign
Karsenieks, Ivans (2025)
Karsenieks, Ivans
2025
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2025052616055
https://urn.fi/URN:NBN:fi:amk-2025052616055
Tiivistelmä
In the rapidly evolving world of motorsport technology, the Nodes project, developed for the Metropolia Motorsport team, plays a key role in improving the reliability and efficiency of next generation racing cars.
The purpose of this work was to redesign and testing boards intended for functioning with pluggable sensors and devices, where Power and Analog Nodes act as the "central nervous system" of the car, ensuring reliable data transfer, signal filtering, power control of pluggable systems, PWM signal generation and interaction with peripherals via the CAN protocol.
The project included circuit optimization, selection of relevant components with an explanation of the choice, analysis of signal filtering and generation and evaluation of the thermal behavior of the system.
As a result, the main work was performed at a high level and meets the main goals, namely, providing data reliability with precise signal and reliable power management in an optimized case. However, some nuances were identified that require further improvements. The final devices are ready for integration into racing cars.
The purpose of this work was to redesign and testing boards intended for functioning with pluggable sensors and devices, where Power and Analog Nodes act as the "central nervous system" of the car, ensuring reliable data transfer, signal filtering, power control of pluggable systems, PWM signal generation and interaction with peripherals via the CAN protocol.
The project included circuit optimization, selection of relevant components with an explanation of the choice, analysis of signal filtering and generation and evaluation of the thermal behavior of the system.
As a result, the main work was performed at a high level and meets the main goals, namely, providing data reliability with precise signal and reliable power management in an optimized case. However, some nuances were identified that require further improvements. The final devices are ready for integration into racing cars.
