A Traction Electric Drive of for a Gazelle-Next Electric Vehicle
- Authors: Naumovich N.I.1, Grigorev M.A.1
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Affiliations:
- Department of Automated Electric Drives
- Issue: Vol 90, No 5 (2019)
- Pages: 380-385
- Section: Article
- URL: https://journals.rcsi.science/1068-3712/article/view/231613
- DOI: https://doi.org/10.3103/S1068371219050109
- ID: 231613
Cite item
Abstract
The rated engine speed and torque of an engine are calculated against the criterion of minimum losses and on the basis of the load graph of the traction electric drive of the Gazelle-Next electric vehicle (EV). It is shown that this approach allows making the system more efficient by around 10%. A mathematical model of the system is developed, where the traction torque indirect adjustment loop is approximated by aperiodic first-order links one of which takes into account uncompensated electromagnetic response delays of phase circuits, whereas the other approximately takes into account the restricted response time of the microprocessor control system. The suggested procedure of synthesizing the traction electric drive control system allows reducing the self-oscillations of the object operated in the zone of torque and speed overloads. It is found that the best adjustment figures for traction mechanisms used in complex operating conditions are reached in the structure with an internal corrective loop against the active capacity coordinate. This is due to the possibility of directly measuring the coordinates of phase current and voltage, which ensures the zero lag of the feedback line. The system adjustment quality was evaluated for the “Traction effort-output speed” line, which involved modeling glare ice as the most complicated running mode for the electric drive, when the traction drive changes from peak to zero almost according to the step law. In this case, the speed coordinate was readjusted by no more than 8%.
Keywords
About the authors
N. I. Naumovich
Department of Automated Electric Drives
Author for correspondence.
Email: journal-elektrotechnika@mail.ru
Russian Federation, Chelyabinsk, 454080
M. A. Grigorev
Department of Automated Electric Drives
Email: journal-elektrotechnika@mail.ru
Russian Federation, Chelyabinsk, 454080
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