An intelligent anti-collision system for electric vehicles applications

Conference item


Chinazaekpere Ijeh, Ikenna and Shafik, Mahmoud 2016. An intelligent anti-collision system for electric vehicles applications. IOS Press. https://doi.org/10.3233/978-1-61499-668-2-305
AuthorsChinazaekpere Ijeh, Ikenna and Shafik, Mahmoud
Abstract

This paper presents the initial outcomes of the ongoing research to develop an intelligent online fault monitoring and anti-collision system for electric vehicle industrial applications. This is aiming to utilise the latest development in sensors technology and multi-level of redundancy approach, to improve the safety of electric vehicle and minimize the risk of road collision. This paper is focused on the development of the anti-collision system. The system is a network of sensors utilising the near real time embedded system. Four operational conditions were considered and some activities have been taken to control the speed and steering control system of the vehicle at an imminent collision. Visual alerts using LEDs were developed to indicate vehicles or obstacles along the path of the host vehicle even at an opposite direction. The proposed system was tested indoor using offshelf mini vehicle model and further field test have been planned to ensure the operability of the system in relevant applications. Research is still undertaken to develop the online fault detection, monitoring and online recovery tolerance system using multi-level of redundancy and a hot-standby dual control unit.

This paper presents the initial outcomes of the ongoing research to
develop an intelligent online fault monitoring and anti-collision system for electric
vehicle industrial applications. This is aiming to utilise the latest development in
sensors technology and multi-level of redundancy approach, to improve the safety
of electric vehicle and minimize the risk of road collision. This paper is focused on
the development of the anti-collision system. The system is a network of sensors
utilising the near real time embedded system. Four operational conditions were
considered and some activities have been taken to control the speed and steering
control system of the vehicle at an imminent collision. Visual alerts using LEDs
were developed to indicate vehicles or obstacles along the path of the host vehicle
even at an opposite direction. The proposed system was tested indoor using offshelf
mini vehicle model and further field test have been planned to ensure the
operability of the system in relevant applications. Research is still undertaken to
develop the online fault detection, monitoring and online recovery tolerance
system using multi-level of redundancy and a hot-standby dual control unit.

KeywordsElectric vehicles; Electric vehicles safety; Fault detection
Year2016
JournalProceedings of the 14th International Conference on Manufacturing Research (ICMR 2016)
PublisherIOS Press
ISSN2352-7528
2352-751X
Digital Object Identifier (DOI)https://doi.org/10.3233/978-1-61499-668-2-305
Web address (URL)http://hdl.handle.net/10545/620624
http://creativecommons.org/licenses/by-nc-nd/4.0/
hdl:10545/620624
ISBN978-1-61499-668-2
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Publication datesSep 2016
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Deposited17 Oct 2016, 15:24
SeriesVolume 3
ContributorsUniversity of Derby
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