Control signal algorithm of the accelerator pedal providing an effective energy consumption by an electrobus traction gear
- Authors: Zhileykin M.M.1, Klimov A.V.1, Maslennikov I.K.1
-
Affiliations:
- KAMAZ Innovation Center
- Issue: Vol 16, No 1 (2022)
- Pages: 51-60
- Section: Transport and transport-technological complexes
- URL: https://ogarev-online.ru/2074-0530/article/view/100232
- DOI: https://doi.org/10.17816/2074-0530-100232
- ID: 100232
Cite item
Full Text
Abstract
BACKGROUND: At the present moment there become more electrobuses in big towns, and the problem of the increasing the their energy efficiency is actual in intertown traffic (that assumes stops and time limitation among stops) because of the limitated on-board capacitors.
AIMS: Development of the control signal algorithm of the accelerator pedal providing an effective energy consumption by an electrobus traction gear.
METHODS: The new method for control signal formation of the accelerator pedal is proposed. It has a feature that provides the system operation “traction gear – frequency converter” in zone of the increased efficiency factor and limits the velocity of control signal level growing when a driver tromps gas.
RESULTS: Analysis of the electrobus operation results in intertown traffic shows, that the aggregate average electric capacity, consumed at electrobus operating equipped with the energy saving systems, is less by 8,2% than at electrobus operating without energy-saving systems at the same conditions. The average efficiency factor of the “traction gear – frequency converter” system of an electrobus equipped with energy-saving systems has been increased by 4.5%. The time of driving on the route of an electrobus equipped with energy saving systems increased by 27 seconds that is an acceptable result. Energy saving in linehaul operation was provided only by an antislip system operation. During the total time driving of the electrobus energy saving was 2.6%.
CONCLUSIONS: A new method for generating a control signal from the side of the accelerator pedal is proposed, which differs in that it ensures the operation of the “traction motor – frequency converter” system in the zone of increased efficiency and limits the rate of increase in the level of the control action when the driver abruptly presses the accelerator pedal.
Full Text
##article.viewOnOriginalSite##About the authors
Mikhail M. Zhileykin
KAMAZ Innovation Center
Email: ZhileykinMM@kamaz.ru
ORCID iD: 0000-0002-8851-959X
SPIN-code: 6561-3300
Dr. Sci. (Engin.), Head of the Engineering Calculations Group
Russian Federation, 62 Bolshoy Boulevard, Innovation center Skolkovo, Moscow, 143026Alexandr V. Klimov
KAMAZ Innovation Center
Email: Aleksandr.Klimov@kamaz.ru
ORCID iD: 0000-0002-5351-3622
SPIN-code: 7637-3104
Candidate of Science (Eng.), Head of the Electrified Car Service
Russian Federation, 62 Bolshoy Boulevard, Innovation center Skolkovo, Moscow, 143026Ivan K. Maslennikov
KAMAZ Innovation Center
Author for correspondence.
Email: MaslennikovIK@kamaz.ru
ORCID iD: 0000-0003-3879-0098
SPIN-code: 5320-2940
Lead Software Engineer Electric Vehicles Department
Russian Federation, 62 Bolshoy Boulevard, Innovation center Skolkovo, Moscow, 143026References
- Zhan W, Liu C, Chan C-Y, Tomizuka M. A non-conservatively defensive strategy for urban autonomous driving. 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC); 2016 November 01–04; Rio de Janeiro, Brazil. P. 459–464.
- Paden B, Cap M, Yong SZ, et al. A Survey of Motion Planning and Control Techniques for Self-Driving Urban Vehicles. IEEE Transactions on Intelligent Vehicles. 2016;1(1):33–55. doi: 10.1109/tiv.2016.2578706
- Qian X, de La Fortelle A, Moutarde F. A hierarchical Model Predictive Control framework for on-road formation control of autonomous vehicles. 2016 IEEE Intelligent Vehicles Symposium (IV); 2016 June 19–22; Gothenburg, Sweden. P. 376–381.
- Kuwata Y, Karaman S, Teo J, et al. Real-Time Motion Planning With Applications to Autonomous Urban Driving. IEEE Transactions on Control Systems Technology. 2009;17(5):1105–1118. doi: 10.1109/tcst.2008.2012116
- Chang CS, Sim SS. Optimising train movements through coast control using genetic algorithms. IEE Proceedings – Electric Power Applications. 1997;144(1). doi: 10.1049/ip-epa:19970797
- Kotiev GO, Butarovich DO, Kositsyn BB. Energy efficient motion control of the electric bus on route. IOP Conference Series: Materials Science and Engineering. 2018;315. doi: 10.1088/1757-899x/315/1/012014
- Butarovich DO, Kositsyn BB, Kotiev GO. A method for developing an energy-efficient law controlling the electric bus city route. 2017;(2):16–27. (In Russ).
- Ivanov VA, Medvedev VS. Matematicheskie osnovy teorii optimal’nogo i logicheskogo upravleniya: ucheb. posobie. Moscow: Izd-vo MGTU im. N.E. Baumana; 2011. (In Russ).
- GOST R 54810-2011. Motor vehicles. Fuel economy. Test methods. Available from: https://docs.cntd.ru/document/1200093157 Accessed: Jun 13, 2022. (In Russ).
- Afanas’ev BA. Polungyan AA, editor. Proektirovanie polnoprivodnykh kolesnykh mashin: uchebnik dlya vuzov; V 3 t. Moscow: Izd-vo MGTU im. N.E. Baumana; 2008. (In Russ).
- Zhileikin MM, Kotiev GO. Modelirovanie sistem transportnykh sredstv: uchebnik. Moscow: Izdatel’stvo MGTU im. N.E.Baumana; 2020. (In Russ).
- Anuchin AS. Sistemy upravleniya elektroprivodov: uchebnik dlya vuzov. Moscow: Izdatel’skii dom MEI; 2015. (In Russ).
Supplementary files
