DEVELOPMENT OF AN APPROACH TO THE CONSTRUCTION OF AN ADAPTED MODEL FOR ENSURING THE THERMAL READINESS PROCESSES OF A VEHICLE BASED ON FUEL CONSUMPTION AND EXHAUST GAS EMISSIONS.

Gritsuk, Igor; Pohorletskyi, Dmytro; Bulgakov, Mykola; Khudiakov, Igor; Volodarets, Mykyta; Smyrnov, Oleh; Korohodskyi, Volodymyr; Symonenko, Roman; Holovashchenko, Oleksii; Hrytsuk, Valerii

The research object is the processes of changes in fuel consumption and harmful emissions of engines and vehicles during their operation. The investigated problem consists in the lack of an approach to the construction of an adapted model for analytical studies of the thermal readiness processes of vehicles with petrol-powered engines. An approach to ensuring vehicle thermal preparation based on fuel consumption and exhaust gas emissions is proposed. The essence of the improved algorithm and model lies in accounting for the specifics of warm-up processes based on the developed thermal preparation cycle for vehicle engines. A feature of the improved approach is the incorporation of experimental research results and features of thermal preparation processes. The field of practical application of the improved approach is the thermal readiness processes of vehicles with engines adapted to work on gasoline and LPG, focusing on fuel consumption and exhaust gas emissions. Improvements have been made to the enlarged algorithm of the mathematical model for ensuring vehicle thermal preparation processes. This includes considering fuel supply and thermal readiness features, as well determining fuel consumption and emissions. The peculiarity of the proposed model is that it allows systematic simulation of thermal preparation processes, taking into account factors and processes that cannot be investigated experimentally. This is validated by the model’s adequacy test, showing that data deviation is within the statistical error range from 4.4 to 5.2 %. The application of the developed approach ensures comprehensive consideration of the specifics of thermal preparation processes and supports decision-making for evaluating results according to the relevant criteria.

ENERGY consumption; WASTE gases; STATISTICAL errors; THERMOCYCLING; MATHEMATICAL models; LIQUEFIED petroleum gas

Eastern-European Journal of Enterprise Technologies, 2024, Vol 132, Issue 4, p26

1729-3774

Academic Journal

10.15587/1729-4061.2024.316922