The popularity of the electric vehicle (EV) brings us many challenges of electromagnetic compatibility (EMC). Automotive manufacturers are obliged to keep their products in compliance with EMC regulations. However, the EV is a complex system composed of various electromagnetic interferences (EMI), sensitive equipment and complicated coupling paths, which pose great challenges to the efficient troubleshooting of EMC problems. This paper presents an electromagnetic topology (EMT) based model and analysis method for vehicle-level EMI prediction, which decomposes an EV into multi-subsystems and transforms electromagnetic coupling paths into network parameters. This way, each part could be modelled separately with different technologies and vehicle-level EMI was able to be predicted by algebra calculations. The effectiveness of the proposed method was validated by comparing predicted vehicle-radiated emissions at low frequency with experimental results, and application to the troubleshooting of emission problems.
The wide application of electric vehicle (EV) brings us many challenges of electromagnetic compatibility (EMC). Automotive manufactures are obliged to ensure that their products comply with the EMC regulations. However, EV is a complicated system, which is composed of variety electromagnetic interferences (EMI), sensitive equipment and coupling paths. This poses great challenges to troubleshoot EMC problems efficiently especially at the early stage. This article proposes an electromagnetic topology based model and analysis method for vehicle‐level EMI prediction. This approach decomposes an EV into multiple subsystems and transforms the electromagnetic coupling paths into multi‐port networks connected by topological matrices. By this way, each part of the EMC model can be set up separately with different technologies and then vehicle‐level EMI is predicted by algebra calculation. The effectiveness of this method has been validated by comparing the predicted radiated emission at low frequency with the experimental results, and application to troubleshooting of the emission problem.
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