TY - GEN
T1 - Design and Implementation of a Novel Multi-Domain Management for Automotive Power Nets
AU - Tippe, Laurenz
AU - De Vergara Oberloher, Alberto
AU - Ebnicher, Michael
AU - Froschl, Joachim
AU - Herzog, Hans Georg
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Current trends such as autonomous driving and the associated increase in the number of electrical consumers and their power demands pose new challenges for automotive power nets. Due to the raising demands on system availability, a strong increase in complexity is also expected and has to be handled. Current energy management systems are mostly limited to prevent undervoltages by selectively degrading the supplied power of individual electrical loads. However, this approach does not include the management of overall system efficiency and thermals, nor is it able to manage redundant power supply lines or individual intelligent components. This paper presents the design and implementation of a novel multi-domain management system for automotive power nets which addresses all of the above mentioned issues and allows for an efficient operation while enabling fail-safe operation. Furthermore, the associated prediction capability allows the vehicle's electrical system to be preconditioned before the occurance of safety-critical events which could otherwise lead to system failure. As an example, the proposed multi-domain management is applied to a ring structured power net.
AB - Current trends such as autonomous driving and the associated increase in the number of electrical consumers and their power demands pose new challenges for automotive power nets. Due to the raising demands on system availability, a strong increase in complexity is also expected and has to be handled. Current energy management systems are mostly limited to prevent undervoltages by selectively degrading the supplied power of individual electrical loads. However, this approach does not include the management of overall system efficiency and thermals, nor is it able to manage redundant power supply lines or individual intelligent components. This paper presents the design and implementation of a novel multi-domain management system for automotive power nets which addresses all of the above mentioned issues and allows for an efficient operation while enabling fail-safe operation. Furthermore, the associated prediction capability allows the vehicle's electrical system to be preconditioned before the occurance of safety-critical events which could otherwise lead to system failure. As an example, the proposed multi-domain management is applied to a ring structured power net.
UR - http://www.scopus.com/inward/record.url?scp=85134649497&partnerID=8YFLogxK
U2 - 10.1109/ITEC53557.2022.9813842
DO - 10.1109/ITEC53557.2022.9813842
M3 - Conference contribution
AN - SCOPUS:85134649497
T3 - 2022 IEEE Transportation Electrification Conference and Expo, ITEC 2022
SP - 147
EP - 154
BT - 2022 IEEE Transportation Electrification Conference and Expo, ITEC 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 IEEE Transportation Electrification Conference and Expo, ITEC 2022
Y2 - 15 June 2022 through 17 June 2022
ER -