D7.4 PHMS for a generic FEV's powertrain

Executive Summary

One of the main objectives of the HEMIS project is the development of a prognostic health monitoring system, able to in-vehicle monitor the condition of the powertrain of vehicles based on electric traction motors, and which allows the application of condition-based maintenance policies.

This document describes the work undertaken and results obtained within the HEMIS project, regarding the definition of such a system, its implementation and verification.

Section 1 introduces the objective and the methodology followed.

Section 2 describes the generic architecture of a FEV defined within the project, as well as the preliminary hazard analysis and RAMS analysis undertaken in order to define the requirements for the monitoring system and to select the powertrain components to be monitored.

Section 3 presents the selection of the physical variables considered to be most appropriate for the condition monitoring algorithms. Five algorithms have been developed in order to monitor the condition of the traction motor, the DC-Link capacitor and the power semiconductors. It was also decided to monitor the occupants’ exposure level to low frequency magnetic fields and compliance with recommended magnetic field reference values.

Section 4 summarizes the distributed architecture of the monitoring system, formed by Satellites systems devoted to measure the monitoring variables, and a central unit were the monitoring algorithms are run.

Section 5 summarises the results obtained in the verification of the prognostic algorithms. For that, a test bench has been implemented and some powertrain components have been degraded in different modes and at different levels.

Finally, section 6 presents the conclusions derived from these results.

Further information is available in the HEMIS project website:


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Project acronym:

Project name:
 Electrical powertrain Health Monitoring for Increased Safety of FEVs

Project reference:

Start date: 01/06/2012
End date: 28/02/2015

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