TY - GEN
T1 - Optimized Power System Layout Focusing on UERF on eVTOL Aircraft
AU - Zheng, Haoran
AU - He, Ruichen
AU - Zhang, Shuguang
AU - Holzapfel, Florian
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
PY - 2024
Y1 - 2024
N2 - The power system is critical for electric vertical take-off and landing (eVTOL) aircraft not only in providing propulsion but also flight control, especially during the VTOL phase. System safety assessment is necessary for the development of aircraft and its systems to ensure safe operation and compliance with certification. However, existing methods are not sufficient for more sophisticated systems and there is a lack of efficient approach for particular risk analysis (PRA) on eVTOL aircraft. This paper proposes a complete model-based safety assessment (MBSA) method, which can quantitatively evaluate the risk of uncontained engine rotor failure (UERF). The proposed method is established on the logical architecture model of the eVTOL power system, and it provides automatic generation of minimum cut sets (MCSs). Further combining the above results with the UERF model and relative battery management systems (BMSs) layout, the final probability of loss of control caused by UERF is calculated. By comparing the different probabilities of various layouts, the optimized power system layout is found.
AB - The power system is critical for electric vertical take-off and landing (eVTOL) aircraft not only in providing propulsion but also flight control, especially during the VTOL phase. System safety assessment is necessary for the development of aircraft and its systems to ensure safe operation and compliance with certification. However, existing methods are not sufficient for more sophisticated systems and there is a lack of efficient approach for particular risk analysis (PRA) on eVTOL aircraft. This paper proposes a complete model-based safety assessment (MBSA) method, which can quantitatively evaluate the risk of uncontained engine rotor failure (UERF). The proposed method is established on the logical architecture model of the eVTOL power system, and it provides automatic generation of minimum cut sets (MCSs). Further combining the above results with the UERF model and relative battery management systems (BMSs) layout, the final probability of loss of control caused by UERF is calculated. By comparing the different probabilities of various layouts, the optimized power system layout is found.
KW - BMS Layout Optimization
KW - eVTOL
KW - MBSA
KW - UERF
UR - http://www.scopus.com/inward/record.url?scp=85200265056&partnerID=8YFLogxK
U2 - 10.1007/978-981-97-3998-1_53
DO - 10.1007/978-981-97-3998-1_53
M3 - Conference contribution
AN - SCOPUS:85200265056
SN - 9789819739974
T3 - Lecture Notes in Electrical Engineering
SP - 625
EP - 635
BT - 2023 Asia-Pacific International Symposium on Aerospace Technology, APISAT 2023, Proceedings - Volume I
A2 - Fu, Song
PB - Springer Science and Business Media Deutschland GmbH
T2 - Asia-Pacific International Symposium on Aerospace Technology, APISAT 2023
Y2 - 16 October 2023 through 18 October 2023
ER -