Перспективи реалізації системи підтримки прийняття рішень для водія електромобіля

Abstract

There has been proposed a way of implementing the decision-making support system for the driver of an electric car while driving it along the horizontal section of the road as well as on descent and ascent with different angles of the slope. The system was based on the synthesized the authors' mathematical models of the electric car's optimal movement by the criterion of the minimum consumption of the electric car power battery charge by its frequency-controlled induction motor which is traction in the drive system of an electric vehicle using Lagrange variational method and a mathematical model of the magnetization curve in the form of an inverted hyperbolic sine, which with high precision binds the current in the stator winding of an induction motor with a magnetic flux created by the field of this current and based on the mathematical models of determination of speeds values while the car with an internal combustion engine or electric car cornering not exceeding which makes it impossible to overturn or skid, which has been synthesized based on the balance equations of both kinemat-ics and dynamics. Carried out the analysis of on-board electronic systems of modern cars, which are currently mandatory for passenger vehicles under the European Union norms and has been revealed that the available ones are quite sufficient for the imple-mentation of decision-making support system for the driver of an electric car in the bound of the proposed concept. Determining the necessary angles of pitch and yaw of the car is possible with the help of sensors of the Electronic Sta-bility Control. Determining electrical parameters of the electric drive - current, voltage, frequency, and mechanical - the posi-tion or speed of rotation of the electric drive shaft of an electric vehicle is possible from the engine control unit, which it re-ceives from the relevant sensors through feedback. It is also has been proposed to extend the implementation of the proposed decision-making support system for the driver of an electric car while driving it by integrating navigation elements based on open source projects into it, which will allow defining and considering such additional parameters as road signs, road markings, etc.