This experimental activity for HIL adequacy is the first time implemented into Magneti Marelli Powertrain and Motorsport. The goal was to understand with a third eye if the system was working correctly by comparing the signals acquired by the HIL with those read by the inverter ECU. Particular focus was addressed on the simulated resolver model, which needs a proven verification to certify the HIL with ad adequacy process. The already known signal trends were compared with those of a a-part built model that could be integrated also on FPGA platform. The results have shown a very good correspondence between HIL system and external model post process. The complete model of the resolver can be used both for MIL and HIL and it can be versatile in every resolver speed condition and used in different simulation environment that need resolver tracking algorithms for rotational items.

Real Time Speed Detection for E-Motor Resolver Signals Through an Adaptive Tracking Algorithm

2019

Abstract

This experimental activity for HIL adequacy is the first time implemented into Magneti Marelli Powertrain and Motorsport. The goal was to understand with a third eye if the system was working correctly by comparing the signals acquired by the HIL with those read by the inverter ECU. Particular focus was addressed on the simulated resolver model, which needs a proven verification to certify the HIL with ad adequacy process. The already known signal trends were compared with those of a a-part built model that could be integrated also on FPGA platform. The results have shown a very good correspondence between HIL system and external model post process. The complete model of the resolver can be used both for MIL and HIL and it can be versatile in every resolver speed condition and used in different simulation environment that need resolver tracking algorithms for rotational items.
2019
it
Dipartimento di Ingegneria "Enzo Ferrari"
Università degli Studi di Modena e Reggio Emilia
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14242/304423
Il codice NBN di questa tesi è URN:NBN:IT:UNIMORE-304423