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Mathematical Model of the Power Management of Toyota Camry as an Object of Diagnosis

Анотація

Cars are a dynamic system with lots of parts, units, systems and units. One of the units responsible for the safety ofthe car is steering. Existing methods and means of diagnosis of steering can be characterized by low efficiency. For various reasons, both declarative and real existing (supported equipment) methods usually have low accuracy and inability to localize malfunctions. Currently, in most cases, the roller control system faults are found on external grounds. It is possible to improve the quality of the process of diagnosis of steering control, including the creation of new mathematical models of their functioning. Existing methods and means of diagnosis of steering as an integral element of road transport are analyzed. It is established that existing methods and means of diagnosis of steering do not fully allow to determine their current technical condition, which requires the development of mathematical models of their units and parts as an object of diagnosis. Toyota Camry's cars are selected as a diagnosis object. The analysis of the design of the steering of the car "Toyota Camry" as an object of diagnosis is presented. Replacing real technical devices by their idealized models allows you to widely use different mathematical methods. The mathematical model is proposed in general, which is a system of functional dependencies between each diagnostic signal and structural parameters. Toyota Camry cars are drawn up for the steering car control, which includes a list of malfunctions and signs of malfunctions. The proposed mathematical model of diagnosing the steering of the car "Toyota Camry" will reveal the malfunctions ofits units and parts, depending on their features with the help of an artificial neural network.

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Borysiuk D. V., Ivanov Yu. Yu., Tverdokhlib I. V. Mathematical Model of the Power Management of Toyota Camry as an Object of Diagnosis // Техніка, енергетика, транспорт АПК. 2025. № 2 (129). Р. 173-180. DOI: http://doi.org/10.37128/2520-6168-2025-2-20.

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