Email this article Simulation model of a vehicle in the Simulink environment for determining fuel consumption in driving cycles
- Authors: Khimchenko A.V.1, Mishchenko N.I.2, Bykov V.V.2
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Affiliations:
- Voronezh State Agrarian University named after Peter the Great
- Automobile and Road Institute of the Donetsk National Technical University
- Issue: Vol 90, No 4 (2023)
- Pages: 295-305
- Section: Environmentally friendly technologies and equipment
- URL: https://journal-vniispk.ru/0321-4443/article/view/232057
- DOI: https://doi.org/10.17816/0321-4443-322768
- ID: 232057
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Abstract
BACKGROUND: The paper shows that the problem of determining objective indicators of fuel consumption in operation based on calculation methods remains relevant. One of these methods is simulation modeling. Current state of computer technology significantly simplifies building of system simulation models, for example, using the Simulink software by Mathworks. In the process of model development, it is necessary to keep the balance of generalization and detailing, since excessive detailing leads to an unreasonably deep consideration of individual elements of the system and to a significant increase in simulation time.
AIMS: Search for a reasonable structure of model of the “driver — car — environment” system, which makes it possible to simulate the car in driving cycles or other driving scenarios.
METHODS: The MATLAB/Simulink simulation environment was used in the study. Based on the analysis of the car design and the capabilities of individual Simulink tools, a block diagram to study fuel consumption using the example of a passenger vehicle was synthesized. The obtained model was debugged for the stable motion simulation of the vehicle in various driving cycles using graphical analysis.
RESULTS: The obtained results show that the developed system simulation model is well behaved. Control systems ensure the vehicle motion according to the mixed driving cycle modes in compliance with the required tolerances. It is possible to register fuel consumption and other simulation results of interest.
CONCLUSIONS: The model showed the relative simplicity of setting up and the ability of quick update for other vehicles. A minimal amount of vehicle data is required to bring the model to an operable condition. Particular unknown parameters are supposed to be refined using identification methods.
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##article.viewOnOriginalSite##About the authors
Arkady V. Khimchenko
Voronezh State Agrarian University named after Peter the Great
Author for correspondence.
Email: himch.arkady@yandex.ru
ORCID iD: 0000-0002-9340-4252
SPIN-code: 4568-1757
Associate Professor, Cand. Sci. (Tech.), Associate Professor of the Agricultural Machines, Tractors and Automobiles Department
Russian Federation, VoronezhNikolay I. Mishchenko
Automobile and Road Institute of the Donetsk National Technical University
Email: mim2802@mail.ru
ORCID iD: 0000-0002-0390-1563
SPIN-code: 6604-8459
Professor, Dr. Sci. (Tech.), Head of the Automobile Transportation Department
Russian Federation, GorlovkaValery V. Bykov
Automobile and Road Institute of the Donetsk National Technical University
Email: bykov_v_@mail.ru
ORCID iD: 0000-0002-4362-0053
SPIN-code: 8378-0977
Associate Professor, Cand. Sci. (Tech.), Dean of the Automobile and Road Construction Faculty
Russian Federation, GorlovkaReferences
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