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dc.contributor.authorChinazaekpere Ijeh, Ikenna
dc.contributor.authorShafik, Mahmoud
dc.date.accessioned2016-10-17T15:24:04Z
dc.date.available2016-10-17T15:24:04Z
dc.date.issued2016-09
dc.identifier.citationChinazaekpere Ijeh, I. and Shafik, M. (2016) 'An intelligent anti-collision system for electric vehicles applications', Advances in Manufacturing Technology XXX, Proceedings of the 14th International Conference on Manufacturing Research, Loughborough University, Loughborough. 6-8th Septemberen
dc.identifier.isbn978-1-61499-668-2
dc.identifier.issn2352-7528
dc.identifier.issn2352-751X
dc.identifier.doi10.3233/978-1-61499-668-2-305
dc.identifier.urihttp://hdl.handle.net/10545/620624
dc.description.abstractThis 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.
dc.language.isoenen
dc.publisherIOS Pressen
dc.relation.ispartofseriesVolume 3en
dc.relation.urlhttp://www.icmr.org.uk/en
dc.relation.urlhttp://ebooks.iospress.nl/publication/44357; http://ebooks.iospress.nl/volume/advances-in-manufacturing-technology-xxx-proceedings-of-the-14th-international-conference-on-manufacturing-research-incorporating-the-31st-national-conference-oen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en
dc.subjectElectric vehiclesen
dc.subjectElectric vehicles safetyen
dc.subjectFault detectionen
dc.titleAn intelligent anti-collision system for electric vehicles applicationsen
dc.typeMeetings and Proceedingsen
dc.contributor.departmentUniversity of Derbyen
dc.identifier.journalProceedings of the 14th International Conference on Manufacturing Research (ICMR 2016)en
refterms.dateFOA2017-10-17T00:00:00Z
html.description.abstractThis 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.


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