The paper presents a solution to the problem of development a vector control system for an induction motor as part of an electric vehicle power plant, which ensures the maximum efficiency of the motor in various driving modes. A nonlinear mathematical model of an induction motor is used, in a coordinate system rotating synchronously with the magnetic field and oriented along the flux linkage vector of the rotor winding. The principles and methods of synergetic control theory are used to design a vector controller. The regulator provides the set speed of the electric vehicle and minimizes energy losses in changing driving conditions. The theoretical results are confirmed by computer simulation of the power plant of an electric vehicle, consisting of a storage battery, an autonomous voltage inverter, an induction motor and a car body. To simulate the power plant of an electric vehicle with the proposed control algorithms, the Simulink environment was used. The mode of execution of the speed reference of an electric vehicle was simulated in accordance with NEDC. Based on the analysis of the battery condition during the simulation of the electric vehicle's mileage, it can be concluded that the use of an energy-saving regulator is about 40% lower compared to traditional FOC systems.

Keywords: electrovehicle, induction motor, AKAR, IFOC, simulink

The article is devoted to the problem of planning the trajectory of an unmanned vehicle-electric vehicle. The results of the development, software implementation and research of the algorithm for constructing the optimal trajectory of the unmanned vehicle in a well-known environment - part of the urban environment are presented. As a basis, a fast-growing random tree (RRT) algorithm was used to construct a path between two points. At the same time, it was optimized regarding the algorithm for removing unnecessary vertices in order to build the optimal trajectory as well as taking into account the vehicle’s kinematic constraints using the Dubins curves on the turning radius of a transport electric vehicle for entering turns. As input data, a binarized map of the city’s terrain was used, as well as set coordinates of the starting and ending position of the vehicle. Research is also conducted on the speed of calculating the RRT method, depending on the system power.

Keywords: unmanned vehicles, electric vehicles, motion planning methods, sampling methods, RRT algorithm, Dubins curves