The electromagnetic anti-interference test of the vehicle braking system is a mandatory testing item required by the national standard GB 21670-2008 Technical Requirements and Test Methods for Passenger Car Braking Systems. By simulating the scene of electromagnetic interference from the surrounding environment during the actual vehicle operation in a 10 meter semi anechoic chamber, the electromagnetic anti-interference performance of the tested vehicle braking system meets the requirements of the national standard. The brake system testing auxiliary equipment based on BP neural network adaptive PID algorithm and adaptive outlier removal method can solve the error problems caused by testing equipment failures, human factors, etc. in the existing experimental process, obtain real-time ABS working condition data of the automotive brake system, and achieve quantifiable, evaluable, and traceable test data.
As an important component of intelligent connected vehicles, intelligent rearview mirrors can provide visual assistance to drivers and improve their operability of the vehicle. As a Class A electrical component that affects the driver's driving safety, its electromagnetic anti-interference performance will affect the reliability and safety of the entire vehicle. By arranging the tested vehicle equipped with intelligent rearview mirrors in a 10 meter semi anechoic chamber according to standard requirements, the electromagnetic anti-interference performance of the intelligent rearview mirror is evaluated using a light intensity monitoring system. The light intensity monitoring system can solve the error problems caused by testing equipment, human factors, and other factors in the existing experimental process. By storing the test data on the light intensity monitoring system in real-time, it achieves the standard requirements of quantifiable, evaluable, and traceable test results.
Multi-port network theory can simplify complex systems by the equivalence of ports. Therefore, the wiring harness model is equivalent to the port network in the electromagnetic coupling prediction for the low-voltage wiring harnesses of electric vehicle. The scattering parameters between the ports of the wire harness are obtained by simulation in Feko, then the characteristics of the wire harness coupling network can be established. According to the relationship between the voltage and current of ports, the voltage and current prediction formula of the interfered harness port is derived. Comparing the port current of the interfered harness collected from the vehicle with the current obtained from the simulation, and qualitatively analyzing whether there is a risk of electromagnetic interference, it verified the effectiveness of the multiport network method to predict the electromagnetic coupling between the wiring harnesses. To a certain extent, the EMC performance of the vehicle can be guaranteed if the method is applied to the vehicle development stage.
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