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Single wheel hub motor failures and their impact on vehicle and driver behaviour
KTH, School of Engineering Sciences (SCI), Aeronautical and Vehicle Engineering, Vehicle Dynamics.ORCID iD: 0000-0001-7427-2584
Department of Psychology, Technische Universitat Chemnitz, Chemnitz, Germany.
VTI Swedish National Road and Transport Research Institute, Gothenburg, Sweden.
KTH, School of Engineering Sciences (SCI), Aeronautical and Vehicle Engineering. (Vehicle Dynamics)ORCID iD: 0000-0001-8928-0368
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(English)Manuscript (preprint) (Other academic)
Abstract [en]

This research work studies the impact of single wheel hub motor failures on the dynamic behaviour of electric vehicles and the corresponding driver reactions. An experimental study in a moving-base driving simulator is conducted to analyse the inuence of single wheel hub motor failures for motorway speeds. Driver reaction times are derived from the measured data and discussed in their experimental context. The failure is rated objectively on the dynamic behaviour of the vehicle and compared to the subjective evaluation. Findings indicate that critical trac situations impairing trac safety can occur for motorway speeds. Clear counteractions by the drivers had to be taken.

Keyword [en]
Vehicle safety, wheel hub motor failure, vehicle dynamics, failure analysis, electric vehicle, driver reaction time, controllability class, ISO 26262, driving simulator
National Category
Vehicle Engineering
Research subject
Vehicle and Maritime Engineering
Identifiers
URN: urn:nbn:se:kth:diva-166822OAI: oai:DiVA.org:kth-166822DiVA: diva2:812502
Note

QS 2015

Available from: 2015-05-19 Created: 2015-05-19 Last updated: 2015-05-20Bibliographically approved
In thesis
1. Controlling over-actuated road vehicles during failure conditions
Open this publication in new window or tab >>Controlling over-actuated road vehicles during failure conditions
2015 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

The aim of electrification of chassis and driveline systems in road vehicles is to reduce the global emissions and their impact on the environment. The electrification of such systems in vehicles is enabling a whole new set of functionalities improving safety, handling and comfort for the user. This trend is leading to an increased number of elements in road vehicles such as additional sensors, actuators and software codes. As a result, the complexity of vehicle components and subsystems is rising and has to be handled during operation. Hence, the probability of potential faults that can lead to component or subsystem failures deteriorating the dynamic behaviour of road vehicles is becoming higher. Mechanical, electric, electronic or software faults can cause these failures independently or by mutually influencing each other, thereby leading to potentially critical traffic situations or even accidents. There is a need to analyse faults regarding their influence on the dynamic behaviour of road vehicles and to investigate their effect on the driver-vehicle interaction and to find new control strategies for fault handling.

A structured method for the classification of faults regarding their influence on the longitudinal, lateral and yaw motion of a road vehicle is proposed. To evaluate this method, a broad failure mode and effect analysis was performed to identify and model relevant faults that have an effect on the vehicle dynamic behaviour. This fault classification method identifies the level of controllability, i.e. how easy or difficult it is for the driver and the vehicle control system to correct the disturbance on the vehicle behaviour caused by the fault.

Fault-tolerant control strategies are suggested which can handle faults with a critical controllability level in order to maintain the directional stability of the vehicle. Based on the principle of control allocation, three fault-tolerant control strategies are proposed and have been evaluated in an electric vehicle with typical faults. It is shown that the control allocation strategies give a less critical trajectory deviation compared to an uncontrolled vehicle and a regular electronic stability control algorithm. An experimental validation confirmed the potential of this type of fault handling using one of the proposed control allocation strategies.

Driver-vehicle interaction has been experimentally analysed during various failure conditions with typical faults of an electric driveline both at urban and motorway speeds. The driver reactions to the failure conditions were analysed and the extent to which the drivers could handle a fault were investigated. The drivers as such proved to be capable controllers by compensating for the occurring failures in time when they were prepared for the eventuality of a failure. Based on the experimental data, a failure-sensitive driver model has been developed and evaluated for different failure conditions. The suggested fault classification method was further verified with the conducted experimental studies.

The interaction between drivers and a fault-tolerant control system with the occurrence of a fault that affects the vehicle dynamic stability was investigated further. The control allocation strategy has a positive influence on maintaining the intended path and the vehicle stability, and supports the driver by reducing the necessary corrective steering effort. This fault-tolerant control strategy has shown promising results and its potential for improving traffic safety.

Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology, 2015. xii, 84 p.
Series
TRITA-AVE, ISSN 1651-7660 ; 2015:23
Keyword
vehicle dynamics, vehicle safety, driver-vehicle interaction, failure analysis, wheel hub motor failure, over-actuation, fault-tolerant control
National Category
Vehicle Engineering
Research subject
Vehicle and Maritime Engineering
Identifiers
urn:nbn:se:kth:diva-166819 (URN)978-91-7595-597-1 (ISBN)
Public defence
2015-06-05, Kollegiesalen, Brinellvägen 8, KTH, Stockholm, 09:30 (English)
Opponent
Supervisors
Note

QC 20150520

Available from: 2015-05-20 Created: 2015-05-19 Last updated: 2015-05-20Bibliographically approved

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Wanner, DanielDrugge, LarsStensson Trigell, Annika

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