The electromagnetic interference delivered by high voltage power inverters driving traction electric motors in a real application can differ from those observed in the qualification tests, significantly. Wanting to address this issue in advance researchers and practitioners perform both circuit and electromagnetic simulations, but to do that a model of the source of switching noise, the power inverter in our case, is need. The behavioral models available in literature are based on the series and shunt impedance insertion method, which is not sufficiently accurate. Aiming to address this issue, this paper proposes a new approach to derive the behavioral model unknowns from a set of measurement results. The proposed solution was applied to an automotive high-voltage three-phase power inverter, and its effectiveness was validated comparing the switching currents resulted from the model prediction with those obtained from measurements.

A Behavioral Model of High-Voltage Traction Inverters for EMC Analysis / Fiori, Franco; Perotti, Michele; Jianmei, Lei; Tian, Tian; Yangchun, Gao; Xiaojiao, Li. - STAMPA. - (2022), pp. 444-447. (Intervento presentato al convegno Asia Pacific International Symposium on Electromagnetic Compatibility and Technical Exibition tenutosi a Bejing (China) nel 01-04 September 2022) [10.1109/APEMC53576.2022.9888392].

A Behavioral Model of High-Voltage Traction Inverters for EMC Analysis

Fiori,Franco;Perotti Michele;
2022

Abstract

The electromagnetic interference delivered by high voltage power inverters driving traction electric motors in a real application can differ from those observed in the qualification tests, significantly. Wanting to address this issue in advance researchers and practitioners perform both circuit and electromagnetic simulations, but to do that a model of the source of switching noise, the power inverter in our case, is need. The behavioral models available in literature are based on the series and shunt impedance insertion method, which is not sufficiently accurate. Aiming to address this issue, this paper proposes a new approach to derive the behavioral model unknowns from a set of measurement results. The proposed solution was applied to an automotive high-voltage three-phase power inverter, and its effectiveness was validated comparing the switching currents resulted from the model prediction with those obtained from measurements.
2022
978-1-6654-1670-2
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2971089