Preview

Trudy NAMI

Advanced search

Development of automobile hybrid powertrain rational control strategy during driving cycle]

EDN: KEYQKI

Abstract

Introduction (problem statement and relevance). Considering the significant distances between settlements and underdeveloped infrastructure for widespread exploitation of pure electric vehicles, the application of hybrid vehicles (HVs) in the Russian Federation is considered justified and allows using them flexibly as an alternative to the vehicles with conventional powertrains and pure electric vehicles. The task of saving energy recourses, especially non-renewable ones, provided that the necessary transport operations are completed, is relevant for vehicles with all types of powertrains.
The purpose of the study is to develop a method for finding a rational control strategy for a parallel and serial-parallel types of hybrid powertrains (HP) in the specified driving cycle: an energy efficiency criterion, approach to selection of variable parameters, and optimization sequence have been offered. Methodology and research methods. Numerical methods of research have been applied. The driving process of the Toyota Prius ZVW52 vehicle under WLTC driving cycle conditions is reviewed as an example, for which the hybrid powertrain (HP) characteristics mathematical models were developed by calculation.
The results and scientific novelty are that the proposed method allows reducing the computational complexity of the objective of HV units rational control within the assigned driving cycle in relation to the known approaches by combining the same-type driving modes into groups, excluding non-implementable and non-rational operating points from the possible system states along with subsequent application of multi-parametric optimization to the remaining number of states.
Practical significance. The method developed can be applied to improve the parallel and serial-parallel type HV control algorithms in order to achieve the maximum joint efficiency of the internal combustion engine and electric drive under driving cycles conditions as well as under real driving conditions.

About the Authors

S. A. Gorozhankin
Federal State Budget Education of Higher Education “Donbass National Academy of Civil Engineering and Architecture”
DNR

Gorozhankin S.A. – D.Sc. (Eng), professor, professor of the department “Automobile transport, service and operation”

Makeyevka 286126



N. V. Savenkov
Federal State Budget Education of Higher Education “Donbass National Academy of Civil Engineering and Architecture”
Russian Federation

Savenkov N.V. – PhD (Eng), associate professor, head of the department “Automobile transport, service and operation”

Makeyevka 286126



O. O. Zolotarev
Federal State Budget Education of Higher Education “Donbass National Academy of Civil Engineering and Architecture”
DNR

Zolotarev O.O. – assistant of the department “Automobile transport, service and operation”,

Makeyevka 286126



References

1. [GOST R 59890-2021. Motor vehicles. Emissions of pollutants with exhaust gases. Specifications and test methods based on a globally harmonized vehicle test procedure light-duty and real-world testing exploitation]. Moscow, Rossiyskiy institut standartizatsii publ., 2022. 280 p. (In Russian)

2. [Electric and hybrid vehicle fleet in Russia]. Available at: https://www.autostat.ru/infographics/58435/?ysclid=m5ybwenpe2238918144 (accessed 20 November 2024). (In Russian)

3. Zhang C, Vahidi A. Route preview in energy management of plug-in hybrid vehicles. IEEE Trans Control Syst Technol, 2012, no. 20 (2):546e53.

4. Chen Z., Xiong R., Wang C., Cao J. An on-line predictive energy management strategy for plug-in hybrid electric vehicles to counter the uncertain prediction of the driving cycle. Appl. Energy, 2017, no. 185 (2), pp. 1663–1672.

5. Guo H., Liang B., Guo H., Zhang K. A robust costate predictive model for energy management of plug-in hybrid electric bus. J. Clean. Prod., 2020, no. 250 (3), 119478.

6. Zhang B., Xu F.G., Shen T.L. Receding horizon optimal control of HEVs with onboard prediction of driver’s power demand. IET Intell. Transp. Syst., 2020, no. 14 (12), pp. 1534–1545.

7. East S., Cannon M. Energy management in plug-in hybrid electric vehicles: convex optimization algorithms for model predictive control. IEEE Trans. Control Syst. Technol., 2020, no. 28 (6), pp. 2191–2203.

8. Litvinov A.S., Farobin Ya.E. [Automobile: theory of operational properties: textbook for universities in the specialty “Automobiles and automobile industry”]. Moscow, Mashinostroenie Publ., 1989. 240 p. (In Russian)

9. Klir G.J. Facets of systems science. Springer, 1991, pp. 121–128. ISBN 9780306439599.

10. Blohin A.N. [Development of a methodology for finding rational transmission ratios taking into account the operational properties and purpose of the vehicle. Cand. eng. sci. diss.]. Nizhny Novgorod, NGTU im. R.E. Alekseeva, 2006. 256 p. (In Russian)

11. Toyota Hybrid – Transmissions line-up. Available at: https://www.toyota-club.net/files/faq/21-12-01_faq_hybrid_tr_en.htm?ysclid=m1osgwob4y333001578 (accessed 20 November 2024).

12. Kolchin A.I., Demidov V.P. [Calculation of automobile and tractor engines: a textbook for universities]. Moscow, Vysshaja shkola Publ., 2002. 496 p. (In Russian)

13. Vol’dek A.I., Popov V.V. [Electrical Machines. Alternating Current Machines: textbook for universities]. Saint Petersburg, Piter Publ., 2010. 350 p. (In Russian)

14. Firago B.I., Aleksandrovskiy S.V. [Energetic factors of a frequency-controlled synchronous electric drive]. Energetika. Izvestiya vysshikh uchebnykh zavedeniy i energetika Ob’edineniy SNG, 2018, vol. 61, no. 4, pp. 287–298. EDN: TODPUE. (In Russian)

15. Tikhomirov V.A., Bychkov E.V. [Computer analysis of converter devices efficiency]. Intellektual’naya elektrotekhnika, 2021, no. 1 (13), pp. 93–108. DOI: 10.46960/2658-6754_2021_1_93. EDN: DDFXGH. (In Russian)

16. Gorozhankin S.A., Savenkov N.V., Zolotarev O.O. [Study of energy efficiency of hybrid vehicle powertrain operating process during steady motion]. Trudy NGTU im. R.E. Alekseeva, 2024, no. 2 (145), pp. 90–101. EDN: BNXVMC. (In Russian)


Review

For citations:


Gorozhankin S.A., Savenkov N.V., Zolotarev O.O. Development of automobile hybrid powertrain rational control strategy during driving cycle]. Trudy NAMI. 2025;(2):104-117. (In Russ.) EDN: KEYQKI

Views: 13


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 0135-3152 (Print)