The method of protecting an articulated electric bus from rollover
- Authors: Antonyan A.V.1,2, Klimov A.V.1,2, Buchkin A.O.2
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Affiliations:
- KAMAZ Innovation Center
- Moscow Polytechnic University
- Issue: Vol 18, No 3 (2024)
- Pages: 232-243
- Section: Transport and transport-technological complexes
- URL: https://journals.rcsi.science/2074-0530/article/view/277882
- DOI: https://doi.org/10.17816/2074-0530-627777
- ID: 277882
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Abstract
BACKGROUND: The current trend of using electric buses has been growing in the last few years. Articulated electric buses also take the routes. These vehicles, due to the presence of heavy traction batteries mainly on the roof, have a tendency to an increased roll angle and a tendency to rollover. Therefore, there is a need to apply anti-rollover measures for such vehicles.
AIM: Development of the control law and algorithm that are capable of decreasing the tendency of an articulated electric bus to rollover by means of reducing the torque.
METHODS: During the development and research of the algorithm, the MATLAB/Simulink simulation environment with the developed mathematical model of spatial motion of an articulated electric bus is used.
RESULTS: The derivation of formulae for calculating the critical turning velocity of sections for articulated vehicles is presented, an algorithm and a traction control law are formulated depending on the turning parameters, the graphs that justify the operability and effectiveness of the algorithms are presented.
CONCLUSION: The practical value of the developed algorithm lies in its practical application on an articulated vehicle in order to reduce the tendency to increased roll angles and to protect it from rollover.
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##article.viewOnOriginalSite##About the authors
Akop V. Antonyan
KAMAZ Innovation Center; Moscow Polytechnic University
Author for correspondence.
Email: antonyan.akop@yandex.ru
ORCID iD: 0000-0002-5566-6569
SPIN-code: 4797-9808
Scopus Author ID: 57217148592
Cand. Sci. (Engineering), Associate Professor, Chief Specialist of the Simulation Modeling and Algorithm Optimization Group, Senior Researcher of the Advanced Engineering School of Electric Transport
Russian Federation, 62 Bolshoy blvd, Skolkovo Innovation Center, 121205 Moscow; 107023 MoscowAlexander V. Klimov
KAMAZ Innovation Center; Moscow Polytechnic University
Email: klimmanen@mail.ru
ORCID iD: 0000-0002-5351-3622
SPIN-code: 7637-3104
Scopus Author ID: 57218166154
Cand. Sci. (Engineering), Associate Professor, Head of the Electric Vehicles Department; Senior Researcher of the Advanced Engineering School of Electric Transport
Russian Federation, 62 Bolshoy blvd, Skolkovo Innovation Center, 121205 Moscow; 107023 MoscowAndrey O. Buchkin
Moscow Polytechnic University
Email: bucha934@mail.ru
ORCID iD: 0009-0005-8897-2086
2nd grade Software Engineer of the Simulation Modeling and Algorithm Optimization Group
Russian Federation, 107023 MoscowReferences
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