TY - GEN
T1 - A Double-layered Energy Management Strategy for Fuel Cell Hybrid Power Source System of More Electric Aircraft
AU - Shi, Wenzhuo
AU - Huangfu, Yigeng
AU - Ma, Yuhui
AU - Xu, Liangcai
AU - Zhang, Zelong
AU - Yu, Tianying
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - In hybrid power source system (HPSS) of more electric aircraft (MEA), energy management strategy (EMS) distributes power of each power sources and single-objective optimization or multi-objective optimization can be realized. A double-layered (DOL) energy management strategy which is composed of fuzzy control layer for lithium battery and variable power reference filter layer for fuel cell system is proposed in this paper. The first layer is the fuzzy control layer which adds the extra input power reference of fuel cell, and it is related to efficiency of fuel cell system and state of charge of lithium battery. Second layer possesses a variable parameter which can keep the power reference of fuel cell close to the highest efficiency point and it has a good effect on the health and efficiency of fuel cell. By combining two layers, both SOC of lithium battery and efficiency of fuel cell system are regarded as the optimization objectives. For verifying proposed EMS, it is compared with finite state machine (FSM) energy management strategy and the simulation results shows that proposed EMS outdoes FSM EMS. In 50% initial SOC condition, average efficiency of fuel cell system and equivalent hydrogen consumption of the proposed EMS are 2.13% higher and 1.7g lower than FSM respectively, and they are 1.84% higher and 1.5g lower than FSM in 80% initial SOC condition. In addition, the proposed EMS is a real-time approach without demand of much calculation resource.
AB - In hybrid power source system (HPSS) of more electric aircraft (MEA), energy management strategy (EMS) distributes power of each power sources and single-objective optimization or multi-objective optimization can be realized. A double-layered (DOL) energy management strategy which is composed of fuzzy control layer for lithium battery and variable power reference filter layer for fuel cell system is proposed in this paper. The first layer is the fuzzy control layer which adds the extra input power reference of fuel cell, and it is related to efficiency of fuel cell system and state of charge of lithium battery. Second layer possesses a variable parameter which can keep the power reference of fuel cell close to the highest efficiency point and it has a good effect on the health and efficiency of fuel cell. By combining two layers, both SOC of lithium battery and efficiency of fuel cell system are regarded as the optimization objectives. For verifying proposed EMS, it is compared with finite state machine (FSM) energy management strategy and the simulation results shows that proposed EMS outdoes FSM EMS. In 50% initial SOC condition, average efficiency of fuel cell system and equivalent hydrogen consumption of the proposed EMS are 2.13% higher and 1.7g lower than FSM respectively, and they are 1.84% higher and 1.5g lower than FSM in 80% initial SOC condition. In addition, the proposed EMS is a real-time approach without demand of much calculation resource.
KW - Double-layered
KW - Energy management strategy
KW - Fuzzy control
KW - Hybrid Power Source System
UR - http://www.scopus.com/inward/record.url?scp=85123806347&partnerID=8YFLogxK
U2 - 10.1109/PEAS53589.2021.9628686
DO - 10.1109/PEAS53589.2021.9628686
M3 - 会议稿件
AN - SCOPUS:85123806347
T3 - PEAS 2021 - 2021 IEEE 1st International Power Electronics and Application Symposium, Conference Proceedings
BT - PEAS 2021 - 2021 IEEE 1st International Power Electronics and Application Symposium, Conference Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 1st IEEE International Power Electronics and Application Symposium, PEAS 2021
Y2 - 12 November 2021 through 15 November 2021
ER -