EEEM: Development of an intelligent energy management system for electric motors to significantly reduce energy consumption by selectively adapting operating parameters to previously analyzed load patterns


01.12.2020 - 31.05.2023

project description

The aim of this project is to develop an intelligent energy management system that adapts the operating parameters of electric motors to the actual energy demand, thereby achieving a 25% reduction in energy consumption losses. The central solution idea here is the development of a measuring box (weight 1 kg) that is temporarily connected to the motor in order to record and analyze individual operating points such as voltage (max. 400 V) and current (max. 200 A) during operation with a resolution of 10 kHz. With the help of novel data selection algorithms, the measurement box is designed to automatically detect significant areas through the resulting energy savings and preventive damage detection, and to selectively store them with increased data resolution. Based on this load data, a pattern can then be calculated that selectively adjusts the motor voltage to the statistically expected patterns and reduces the load-independent losses that dominate especially in the low-load range. In this respect, a mobile measuring box represents an inexpensive and effective solution for energy saving that does not exist on the market.

project lead

Prof. Dr.-Ing. Carsten Fräger

other researchers

Jason Moos, M.Eng.

third-party donor

BMWi - Bundesministerium für Wirtschaft und Energie

affiliated partners

Hans Mayer Elektrotechnik GmbH

PLC2 Programmable Logic Competence Center GmbH