TY - GEN
T1 - System identification and modeling of an automotive bidirectional DC/DC converter
AU - Baumann, Martin
AU - Weissinger, Christoph
AU - Herzog, Hans Georg
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/10
Y1 - 2019/10
N2 - Recently, dynamic and safety-relevant electrical components in automotive energy systems have been gaining importance justified by an increased electrification of self-driving cars. In order to assess risks due to disturbances within the energy system, simulation is used in the early concept phase of vehicles. Integrated nonlinear components such as DC/DC converters being characterized by their discontinuous operation strongly influence the systems stability. Accessible models are mostly feasible for a limited frequency range. While modeling of converters has been discussed in literature extensively, system identification of converters has not been studied sufficiently so far. In this paper, a methodology is developed to model an automotive 48/12V bidirectional DC/DC converter out of measurements in three abstraction levels: switched, average and steady state. The focus of this contribution lies on the identification and parametrization of electrical components. Furthermore, this paper proposes a cascaded optimized controller. Simulation results are validated through transient measurements on an automotive converter showing a deviation of less than 2%.
AB - Recently, dynamic and safety-relevant electrical components in automotive energy systems have been gaining importance justified by an increased electrification of self-driving cars. In order to assess risks due to disturbances within the energy system, simulation is used in the early concept phase of vehicles. Integrated nonlinear components such as DC/DC converters being characterized by their discontinuous operation strongly influence the systems stability. Accessible models are mostly feasible for a limited frequency range. While modeling of converters has been discussed in literature extensively, system identification of converters has not been studied sufficiently so far. In this paper, a methodology is developed to model an automotive 48/12V bidirectional DC/DC converter out of measurements in three abstraction levels: switched, average and steady state. The focus of this contribution lies on the identification and parametrization of electrical components. Furthermore, this paper proposes a cascaded optimized controller. Simulation results are validated through transient measurements on an automotive converter showing a deviation of less than 2%.
UR - http://www.scopus.com/inward/record.url?scp=85078725590&partnerID=8YFLogxK
U2 - 10.1109/VPPC46532.2019.8952478
DO - 10.1109/VPPC46532.2019.8952478
M3 - Conference contribution
AN - SCOPUS:85078725590
T3 - 2019 IEEE Vehicle Power and Propulsion Conference, VPPC 2019 - Proceedings
BT - 2019 IEEE Vehicle Power and Propulsion Conference, VPPC 2019 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 IEEE Vehicle Power and Propulsion Conference, VPPC 2019
Y2 - 14 October 2019 through 17 October 2019
ER -