TY - GEN
T1 - System-level modeling and virtual testing of fuel cell vehicle mobypost using energetic macroscopic representation
AU - Bai, Hao
AU - Liu, Chen
AU - Chrenko, Daniela
AU - Ravey, Alexandre
AU - Gao, Fei
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/6/21
Y1 - 2021/6/21
N2 - Fuel cell vehicle (FCV) has drawn much attention due to its high efficiency, long drive range, and zero emission. The development of FCV involves complex architectures and requires an effective virtual testing methodology to improve RD efficiency. Energetic Macroscopic Representation (EMR) is a graphical formalism to organize models and controls of multidisciplinary systems. It provides the seamless integrations of multi-level models and interconnections between virtual and real testing, which reduces the total development time of the electrified vehicles. Therefore, in this paper, the system-level model of FCV is designed using EMR for the high-fidelity virtual testing of electrified vehicles. An FCV Mobypost that is used for postal delivery in France is chosen as the studied vehicle. The virtual testing results are compared with the real testing. Good consistency is achieved, which validates the performances of the EMR-based FCV model in the virtual testing environment.
AB - Fuel cell vehicle (FCV) has drawn much attention due to its high efficiency, long drive range, and zero emission. The development of FCV involves complex architectures and requires an effective virtual testing methodology to improve RD efficiency. Energetic Macroscopic Representation (EMR) is a graphical formalism to organize models and controls of multidisciplinary systems. It provides the seamless integrations of multi-level models and interconnections between virtual and real testing, which reduces the total development time of the electrified vehicles. Therefore, in this paper, the system-level model of FCV is designed using EMR for the high-fidelity virtual testing of electrified vehicles. An FCV Mobypost that is used for postal delivery in France is chosen as the studied vehicle. The virtual testing results are compared with the real testing. Good consistency is achieved, which validates the performances of the EMR-based FCV model in the virtual testing environment.
UR - http://www.scopus.com/inward/record.url?scp=85114484456&partnerID=8YFLogxK
U2 - 10.1109/ITEC51675.2021.9490044
DO - 10.1109/ITEC51675.2021.9490044
M3 - 会议稿件
AN - SCOPUS:85114484456
T3 - 2021 IEEE Transportation Electrification Conference and Expo, ITEC 2021
SP - 148
EP - 153
BT - 2021 IEEE Transportation Electrification Conference and Expo, ITEC 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 IEEE Transportation Electrification Conference and Expo, ITEC 2021
Y2 - 21 June 2021 through 25 June 2021
ER -