TY - GEN
T1 - Efficient small-signal algorithm for high dynamic phase-shifted full-bridge converters
AU - Baumann, Martin
AU - Ali, Bert Haj
AU - Weissinger, Christoph
AU - Herzog, Hans Georg
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/11
Y1 - 2020/11
N2 - Nowadays, the virtual development of high-dynamic automotive power systems faces major challenges. Automotive power systems exhibit particularly fast-changing dynamics. The load of power electronic supplies highly fluctuates and therefore needs to be considered during virtual pre-conception and system design. This paper introduces an algorithm being able to efficiently replicate dynamics of a phase-shifted full-bridge converter through iteratively calculating diode conducting times and corresponding state-space systems. The proposed converter model includes an additional voltage source representing the dynamics of the converter for different load-dependent deadtime behaviors. The additional voltage is calculated on basis of predicting the leakage current throughout one switching cycle. The algorithm reduces computation time by 91% compared to the switched model.
AB - Nowadays, the virtual development of high-dynamic automotive power systems faces major challenges. Automotive power systems exhibit particularly fast-changing dynamics. The load of power electronic supplies highly fluctuates and therefore needs to be considered during virtual pre-conception and system design. This paper introduces an algorithm being able to efficiently replicate dynamics of a phase-shifted full-bridge converter through iteratively calculating diode conducting times and corresponding state-space systems. The proposed converter model includes an additional voltage source representing the dynamics of the converter for different load-dependent deadtime behaviors. The additional voltage is calculated on basis of predicting the leakage current throughout one switching cycle. The algorithm reduces computation time by 91% compared to the switched model.
UR - http://www.scopus.com/inward/record.url?scp=85102014236&partnerID=8YFLogxK
U2 - 10.1109/VPPC49601.2020.9330882
DO - 10.1109/VPPC49601.2020.9330882
M3 - Conference contribution
AN - SCOPUS:85102014236
T3 - 2020 IEEE Vehicle Power and Propulsion Conference, VPPC 2020 - Proceedings
BT - 2020 IEEE Vehicle Power and Propulsion Conference, VPPC 2020 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 17th IEEE Vehicle Power and Propulsion Conference, VPPC 2020
Y2 - 18 November 2020 through 16 December 2020
ER -