TY  - JOUR
U1  - Zeitschriftenartikel, wissenschaftlich - begutachtet (reviewed)
A1  - Dominic, Antony
A1  - Schullerus, Gernot
A1  - Winter, Martin
T1  - Dynamic energy efficient control of induction machines using anticipative flux templates
JF  - Applied Sciences
N2  - Energy efficiency optimization techniques for steady state operation of induction machines are the state-of-the-art, and many methods have already been developed. However, many real-world industrial and electric vehicle applications cannot be considered to be in steady state operation. The focus of this contribution is on the efficiency optimization of induction machines in dynamic operation. Online dynamic operation is challenging due to the computational complexity and the required low sample times in an inverter. An offline optimization is therefore conducted to gain knowledge. Based on this offline optimal solution, a simple and easy to implement template based solution is developed. This approach aims at replicating the solution found by the offline optimization by resembling the shape and anticipative characteristics of the optimal flux trajectory. The energy efficiency improvement of the template based solution is verified by simulations and measurements on a test bench and using a real-world drive cycle scenario. For comparison, a model predictive numerical online optimization is investigated too.
KW  - energy efficiency
KW  - induction machines
KW  - optimization
KW  - dynamic operation
KW  - loss minimization
Y1  - 2021
UN  - https://nbn-resolving.org/urn:nbn:de:bsz:rt2-opus4-31348
SN  - 2076-3417
SS  - 2076-3417
U6  - https://doi.org/10.3390/app11062878
DO  - https://doi.org/10.3390/app11062878
VL  - 11
IS  - 6
SP  - 1
EP  - 23
S1  - 23
PB  - MDPI
CY  - Basel
ER  -