Researchers from School of Automotive Engineering, Chongqing University suggested a topology-based approach to predict vehicle-level electromagnetic interferences
Increasing demand for electric vehicles (EVs) has led to deterioration of electromagnetic environment, owing to the big voltage, great current, and high frequency in a limited vehicle space. EVs emit radiation, which may impact human health and is therefore, always taken into consideration in the study of electromagnetic compatibility (EMC) conditions. EVs are needed to satisfy special component and vehicle level EMC regulations to prevent electromagnetic interference (EMI) generated by onboard electronic/electrical components from breaking down the operation of other equipment components.
Now, a team of researchers from School of Automotive Engineering, Chongqing University suggested a method to predict vehicle-level EMI. The team found that the new method can be used to effectively model the EMC issues of a complex system without the need for high engineering experience. Moreover, the team also found that the parameter values for each subsystem do not depend on other parts with different technologies. The approach is based on electromagnetic topology (EMT) and electric network theory and resolves EMC problem more efficiently. The team studied an electric sedan with consistent vehicle running state and test system layout with respect to regulation.
The new model for vehicle-level radiated emission at low frequency was precise and able to estimate and resolve the EMC problem of the EV. The model can also operate at higher frequency ranges and more EMC problems. The sensitive analysis method based on this EMI prediction model can be used to identify the main interference source. The team plans to conduct further research on theoretical base and on general application technologies of the EMI prediction model. The approach used to suppress EMI can also decrease the DC/DC interference. This research published in the journal MDPI Electronics on March 25, 2019.
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