Determination of the Reliability of Urban Electric Transport Running Autonomously through Diagnostic Parameters
The urban transport network involves complex processes, operating 24 h a day and 365 days a year. The sustainable development of the urban transport network using electric buses and trolleybuses that run autonomously is an urgent task since the transport network performs integral social functions an...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-12-01
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| Series: | World Electric Vehicle Journal |
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| Online Access: | https://www.mdpi.com/2032-6653/14/12/334 |
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| author | Nikita V. Martyushev Boris V. Malozyomov Vladislav V. Kukartsev Valeriy E. Gozbenko Vladimir Yu. Konyukhov Anton S. Mikhalev Viktor Alekseevich Kukartsev Yadviga A. Tynchenko |
| author_facet | Nikita V. Martyushev Boris V. Malozyomov Vladislav V. Kukartsev Valeriy E. Gozbenko Vladimir Yu. Konyukhov Anton S. Mikhalev Viktor Alekseevich Kukartsev Yadviga A. Tynchenko |
| author_sort | Nikita V. Martyushev |
| collection | DOAJ |
| description | The urban transport network involves complex processes, operating 24 h a day and 365 days a year. The sustainable development of the urban transport network using electric buses and trolleybuses that run autonomously is an urgent task since the transport network performs integral social functions and is the transport artery of any urban center. The social and economic life of a city as a whole depends on the reliability of the transportation network. A theory is proposed for the technical and economic evaluation of reliability improvement in electric buses and trolleybuses running autonomously, which enables the determination of the reliability parameters of electric buses and forecasts for the future from the point of view of optimal economic costs for the operation of electric equipment in electric buses. As a result of the application of the proposed theory, it was found that increasing the reliability of the transportation fleet can lead to a decrease in both specific operating costs and capital investments in the development of the fleet. This is achieved as a result of increasing the annual productivity of vehicles by reducing the time they are out of service to eliminate the consequences of failures and carry out maintenance and repair. The conducted experiments confirmed that the theory and methodology of optimal reliability level selection not only enable the rational use of the material resources of the urban transport network but also the release of funds for its scientific and technical development by reducing the number of failures in the electrical equipment of transport systems by 14%. |
| first_indexed | 2024-03-08T20:16:04Z |
| format | Article |
| id | doaj.art-750ca35e6336464f867c4573f15d0852 |
| institution | Directory Open Access Journal |
| issn | 2032-6653 |
| language | English |
| last_indexed | 2024-03-08T20:16:04Z |
| publishDate | 2023-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | World Electric Vehicle Journal |
| spelling | doaj.art-750ca35e6336464f867c4573f15d08522023-12-22T14:50:06ZengMDPI AGWorld Electric Vehicle Journal2032-66532023-12-01141233410.3390/wevj14120334Determination of the Reliability of Urban Electric Transport Running Autonomously through Diagnostic ParametersNikita V. Martyushev0Boris V. Malozyomov1Vladislav V. Kukartsev2Valeriy E. Gozbenko3Vladimir Yu. Konyukhov4Anton S. Mikhalev5Viktor Alekseevich Kukartsev6Yadviga A. Tynchenko7Department of Advanced Technologies, Tomsk Polytechnic University, 634050 Tomsk, RussiaDepartment of Electrotechnical Complexes, Novosibirsk State Technical University, 630073 Novosibirsk, RussiaDepartment of Informatics, Institute of Space and Information Technologies, Siberian Federal University, 660041 Krasnoyarsk, RussiaDepartment of Organization of Transportation and Management on Motor Transport, Angarsk State Technical University, 665835 Angarsk, RussiaDepartment of Automation and Control, Irkutsk National Research Technical University, 664074 Irkutsk, RussiaDepartment of Informatics, Institute of Space and Information Technologies, Siberian Federal University, 660041 Krasnoyarsk, RussiaDepartment of Materials Science and Materials Processing Technology, Polytechnical Institute, Siberian Federal University, 660041 Krasnoyarsk, RussiaLaboratory of Biofuel Compositions, Siberian Federal University, 660041 Krasnoyarsk, RussiaThe urban transport network involves complex processes, operating 24 h a day and 365 days a year. The sustainable development of the urban transport network using electric buses and trolleybuses that run autonomously is an urgent task since the transport network performs integral social functions and is the transport artery of any urban center. The social and economic life of a city as a whole depends on the reliability of the transportation network. A theory is proposed for the technical and economic evaluation of reliability improvement in electric buses and trolleybuses running autonomously, which enables the determination of the reliability parameters of electric buses and forecasts for the future from the point of view of optimal economic costs for the operation of electric equipment in electric buses. As a result of the application of the proposed theory, it was found that increasing the reliability of the transportation fleet can lead to a decrease in both specific operating costs and capital investments in the development of the fleet. This is achieved as a result of increasing the annual productivity of vehicles by reducing the time they are out of service to eliminate the consequences of failures and carry out maintenance and repair. The conducted experiments confirmed that the theory and methodology of optimal reliability level selection not only enable the rational use of the material resources of the urban transport network but also the release of funds for its scientific and technical development by reducing the number of failures in the electrical equipment of transport systems by 14%.https://www.mdpi.com/2032-6653/14/12/334reliabilityurban electric transportforecastingdiagnosticstrolleybustechnical systems |
| spellingShingle | Nikita V. Martyushev Boris V. Malozyomov Vladislav V. Kukartsev Valeriy E. Gozbenko Vladimir Yu. Konyukhov Anton S. Mikhalev Viktor Alekseevich Kukartsev Yadviga A. Tynchenko Determination of the Reliability of Urban Electric Transport Running Autonomously through Diagnostic Parameters World Electric Vehicle Journal reliability urban electric transport forecasting diagnostics trolleybus technical systems |
| title | Determination of the Reliability of Urban Electric Transport Running Autonomously through Diagnostic Parameters |
| title_full | Determination of the Reliability of Urban Electric Transport Running Autonomously through Diagnostic Parameters |
| title_fullStr | Determination of the Reliability of Urban Electric Transport Running Autonomously through Diagnostic Parameters |
| title_full_unstemmed | Determination of the Reliability of Urban Electric Transport Running Autonomously through Diagnostic Parameters |
| title_short | Determination of the Reliability of Urban Electric Transport Running Autonomously through Diagnostic Parameters |
| title_sort | determination of the reliability of urban electric transport running autonomously through diagnostic parameters |
| topic | reliability urban electric transport forecasting diagnostics trolleybus technical systems |
| url | https://www.mdpi.com/2032-6653/14/12/334 |
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