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DC Field | Value | Language |
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dc.contributor.author | Stojanovic, Blaza | - |
dc.contributor.author | Bukvic, Milan | - |
dc.contributor.author | Janjic, Radomir | - |
dc.date.accessioned | 2023-02-27T07:30:39Z | - |
dc.date.available | 2023-02-27T07:30:39Z | - |
dc.date.issued | 2016 | - |
dc.identifier.isbn | 978-86-81123-82-9 | en_US |
dc.identifier.uri | https://scidar.kg.ac.rs/handle/123456789/16840 | - |
dc.description.abstract | This paper at the begining presents the basic concepts of the different conceptual solutions for hybrid and electric vehicles, primarily in terms of their transmissions. From now on, there are certain observations concerning the reliability of these vehicles, taking into account that this area has not been explored to the extent as it is the case with conventional vehicles (with IC engine). With the development of modern diagnostic methods, a special place takes telediagnostic, as an area that offers huge advantages in quality and timely diagnosis of all processes on hybrid and electric vehicles and provides excellent input parameters to optimize the maintenance system. Finally, a serious approach to the optimization of the maintenance system of modern hybrid and electric vehicles could not be imagined without the combination of "soft" computing, i.e. fuzzy logic, classical reliability theory vehicles and newly developed diagnostic methods. This approach of the system of maintenance increases the quality of the exploitation, increases availability and reduces the overall lifecycle costs of hybrid and electric vehicles. | en_US |
dc.rights | info:eu-repo/semantics/openAccess | - |
dc.source | 7th International Scientific Conference on Defensive Technologies OTEH 2016, Beograd | en_US |
dc.subject | hybrid and electric vehicles | en_US |
dc.subject | maintenance | en_US |
dc.subject | transmission | en_US |
dc.subject | reliability | en_US |
dc.subject | diagnosis | en_US |
dc.subject | fuzzy logic | en_US |
dc.title | MAINTENANCE OF HYBRID VEHICLES | en_US |
dc.type | conferenceObject | en_US |
Appears in Collections: | Faculty of Engineering, Kragujevac |
Files in This Item:
File | Description | Size | Format | |
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1_OTEH2016.pdf | 612.91 kB | Adobe PDF | View/Open |
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