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