A.M. Kostygov - Ph.D. (Eng.), Dean, Electrotechnical Faculty, Perm National Research Polytechnic University. E-mail: dekan@etf.pstu.ru A.V. Kychkin - Ph.D. (Eng.), Associate Professor, Department of Microprocessor Automation, Perm National Research Polytechnic University. E-mail: aleksey.kychkin@gmail.com A.V. Belonogov - Student, Department of Microprocessor Automation, Perm National Research Polytechnic University. E-mail: sanya_renin@mail.ru

Energy monitoring of mobile objects with DC electric drive used to solve traffic problems, allows you to assess the energy ef-ficiency criteria for generalized device using particular criteria convolution principle. The article discusses the construction of algorithmic and automated information support system for evaluating the energy efficiency of the mobile platform in a variety of modes, including idle speed when driving with a payload at an angle to the horizon, on surfaces with different coefficients of traction with the road surface. Each mode uses its comparable criteria, the values of which are calculated according to the on-board information measurement and control system, resulting in a series of automated tests. The mobile platform prototype on the basis of a four-power direct current power source in the form of batteries is used for operating modes testing. Remote control and energy monitoring mobile platform is carried out with computer-aided dispatch system operating locations. Transmission control commands and measurement information, including power consumption data and the additional parame-ters over the wireless network is performed in real time. Given the duration of the test steps in a variety of platforms modes were obtained experimental data and their analysis in line with the proposed methodology. The calculated parameters for dif-ferent modes of operation allows us to formulate the conditions of operation of the mobile platform to meet the highest energy efficiency.

 

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