Digital Twin Approach for Headlamps Testing and Control

In modern automotive lighting systems, efficiency, adaptability, and reliability of each component are essential for ensuring optimal performance. However, the implementation of LED MATRIX (multiple LEDs are organized in a grid and independently controlled to adjust the light output) often faces challenges due to high costs and complex integration processes. To address these issues, the paper proposes and validates a method that uses a simulated model as a cost-effective alternative for testing and optimizing various lighting scenarios before real-world deployment. The method allows for the transformation of the simulated model into a digital twin, which replicates the functionality of the hardware, including LED MATRIX, in a simulation environment. Virtual testing platforms like CANoe (Controller Area Network Environment) are used within this method to evaluate system performance evaluation under extreme conditions, ensuring both safety and reliability. Furthermore, the incorporation of STM32 microcontrollers enables real-time diagnostics and adaptive functionality, supporting the development of efficient and scalable lighting solutions for modern vehicles.