HEMIS - Electrical powertrain HEalth Monitoring for Increased Safety of FEVs
Overview
Background & policy context:
To achieve the aims of reducing energy consumption and CO2 emissions, Fully Electric Vehicle (FEV) needs to reach significant market shares. However, the advent of FEVs in mass production presents new challenges to automotive manufacturers due to the immaturity of the new building blocks, which can reduce FEV's safety and reliability. Among them, is the electric powertrain: i.e. electric traction motors and power electronics controller.
Another factor to be taken into account is electromagnetic interference due to the switching technology of power electronics. Furthermore, power electronics and the circulation of high currents from the battery to the motor will emit additional electromagnetic fields (EMF), including Low Frequency (LF) emissions not covered within the current automotive EMC standards.
Objectives:
The HEMIS project has two major objectives. The first one is to design a Prognostic Health Monitoring System (PHMS), which will sense key physical characteristics related to the health state of the powertrain and the emitted EMF. Based on this information, the PHMS will be able to provide a failsafe state, enhancing public's confidence on the safety and reliability of FEVs. PHMS will also predict the remaining useful life of the equipment, thus enabling enhanced maintenance and reduction of costs, due to acquired knowledge of failure mechanisms. The result of this multidisciplinary research will be a working prototype.
The second objective is to provide the manufactures of FEVs with design guidelines regarding EMC and the impact of EMF (including LF emissions) on human health. The research will also result in EMC/EMF testing guidelines for FEV manufacturers, which are expected to be incorporated as a part of emissions standards. Thus, HEMIS will help to counter fears amongst some sectors of the population about EMF exposure in FEVs.
With the proposed approach, HEMIS directly addresses the objective GC-ICT-2011.6.8 ICT for fully electric vehicles g).
Methodology:
Work Packages
WP1: Coordination and management
WP2: PHA and RAMS apportionment of the FEV
WP3: Identification of the causes of degradation of the motor and the control, and their
consequences
WP4: Monitoring of the physical characteristics of the motor and control and prediction of
their RUL
WP5: Analysis and measurement of EMC characteristics and health impact of EMF
WP6: Identification of hazard limits and design and implementation of on-board
monitoring systems
WP7: Verification of the on-board monitoring systems for the fail safe transition
WP8: Dissemination and exploitation
WP1: Coordination and management
This work package deals with all the management aspects of the project and the monitoring of the progress towards the ultimate objectives, identifying shortcomings and recommending remedial action when necessary.
WP2: PHA and RAMS apportionment of the FEV
This work package is devoted to the definition of the architecture of a generic full electric vehicle. This allows undertaking the RAMS analysis of the vehicle and the RAMS apportionment, which in turn define the requirements of the powertrain and the HEMIS PHMS.
WP3: Identification of the causes of degradation of the motor and the control, and their consequences
This work package is responsible for defining the causes of degradation of the motor and the control, as well as the analysis of the effects and criticality of the different failure modes of these subsystems. A review of the available literature on the reliability of the electrical machine and its associated control was carried out in order to identify the nature, causes and prevalence of likely failure modes.
Deliverable D3.1 summarizes the failure modes of the powertrain and the analysis on their effect and criticality. In addition, their contribution to the hazards identified in WP2 is represented by means of Ishikawa diagrams. Possible methods for monitoring the health of the electrical machine and the control are also noted, as an input to WP4. The powertrain architecture is documented in deliverable D3.2.
WP4: Monitoring of the physical characteristics of the motor and control and prediction of their RUL
The aims of this work package are to identify which physical characteristics are most appropriate to monitor the performance of the powertrain and to define prognostic algorithms able to deal with the associated hybrid data in
Share this page