Preview

Trudy NAMI

Advanced search

Simulation modeling of motion, statistical calculation and comparison of the characteristics of a transport vehicle equipped with an internal combustion engine and a combined power unit with a flywheel energy accumulator

Abstract

Introduction. It is proposed to equip the vehicle with a mechanical transmission with a combined power unit (CPU) consisting of an internal combustion engine (ICE) and an auxiliary power source – a flywheel accumulator with a continuously variable adjustable drive.

The purpose of this study was: to assess the dynamic qualities and efficiency of a heavy-duty transport vehicle equipped with a mechanical transmission using the CPU; to determine the allowable level of power reduction for the main ICE; to calculate the range of the installation power of the flywheel energy accumulator (FEA) with a continuously variable adjustable drive and its average efficiency, as well as the required flywheel energy consumption during vehicle motion in different types of terrain.

Methodology and research methods. A universal method of simulation has been developed which took into account the statistical modeling of external disturbances acting on a transport vehicle equipped with a stepped gearbox and a conventional engine, or with a CPU containing an ICE and a FEA with a continuously variable drive for adjusting its gear ratio.

Scientific novelty and results. The characteristics of transport vehicles were compared with the help of the developed methodology according to the criterion of the average speed in motion along random routes. As a result, the efficiency of using the CPU was estimated. The influence of FEA on the energy consumption was estimated as well and the mathematical expectation of the continuously variable drive efficiency as part of CPU was determined. Also the magnitude of the original drive power on the average speed of the transport vehicle equipped with a mechanical transmission was established. The influence of the statistical characteristics of a random road (the expectation and dispersion of the resistance coefficient to the straight-line movement of the machine) was shown on the average speed increase of both the transport vehicle with CPU and the vehicle equipped with a conventional ICE. The influence of factors which limited the speed of a transport vehicle on the efficiency of using a FEA as part of CPU was established for various types of random runs.

Practical significance. The results obtained made it possible to compare and analyze the motion of machines equipped both with a conventional or CPU along random roads and externally influenced by the roads as well as to optimize the parameters of a conventional and combined power unit.

About the Author

V. A. Korsunskiy
Bauman Moscow State Technical University
Russian Federation

PhD (Eng), associate professor of Department “Multi-purpose tracked machines and mobile robots”

Moscow 105005



References

1. Dzhenta D. [Kinetic energy storage. Theory and practice of modern flywheel systems]. Moscow, Mir Publ., 1988. 430 p. (In Russian)

2. Gulia N.V. [Inertia energy batteries]. Voronezh, VGU Publ., 1973. 240 p. (In Russian)

3. Hansen J., O’Kain D. An Assessment of Flywheel High Power Energy Storage Technology for Hybrid Vehicles. Reports.December 2011, ORNL/TM-2010-280. Available at: https://www.compositesworld.com/cdn/cms/ORNL%20Flywheel%20Assessment%20for%20Hybrid%20Vehicles%202011.pdf (accessed 25 March 2019).

4. Thoolen F. Development of an advanced high speed flywheel energy storage system. Eindhoven Technische Universiteit, Eindhoven, 1993. DOI: 10.6100/IR406829.

5. Hedlund M., Lundin J., Santiago J., Abrahamsson J., Bernhoff H. Flywheel Energy Storage for Automotive Applications. Energies, 2015, no. 8, pp. 10636–10663. DOI: 10.3390/en81010636.

6. Dhand A., Pullen K. Review of flywheel based internal combustion engine hybrid vehicles. International Journal of Automotive Technology, 2013, no. 10, vol. 14, issue 5, pp. 797–804.

7. Breakthrough in Ricardo Kinergy ‘second generation’ high-speed flywheel technology. 21.08.2011. Available at: https://ricardo.com/news-and-media/press-releases/breakthrough-in-ricardo-kinergy-‘second-generation (accessed 25 March 2019).

8. Hearn C., Flynn M., Lewis M., Thompson R.C., Longoria R.G. Low Cost Flywheel Energy Storage for a Fuel Cell Powered Transit Bus / Vehicle Power and Propulsion Conference, Sept. 9 – 12, 2007. VPPC 2007. IEEE. DOI: 10.1109/VPPC.2007.4544239.

9. Hebner R., Beno J., Walls W. Flywheel batteries come around again. IEEE Spectrum, 2002, vol. 39, no. 4, pp. 46–51.

10. Korsunskiy V.A. [The method of statistical parameters calculation of a transport vehicle with a combined power unit and a flywheel energy storage]. Trudy NAMI, 2018, no. 1 (272), pp. 78–88. (In Russian)

11. Savochkin V.A., Dmitriev A.A. [Statistical dynamics of transport and traction tracked vehicles]. Moscow, Mashinostroenie Publ., 1993. 320 p. (In Russian)

12. Korsunskiy V.A. [Mathematical model of hydrostatic-mechanical drive for the flywheel energy storage]. Trudy NAMI, 2017, no. 4 (271), pp. 38–45. (In Russian)


Review

For citations:


Korsunskiy V.A. Simulation modeling of motion, statistical calculation and comparison of the characteristics of a transport vehicle equipped with an internal combustion engine and a combined power unit with a flywheel energy accumulator. Trudy NAMI. 2019;(2):45-53. (In Russ.)

Views: 147


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


ISSN 0135-3152 (Print)