TY - GEN
T1 - Alternating Direction Method of Multipliers Improved Online Power Management in a Fuel Cell Hybrid Bus
AU - Wei, Xiaodong
AU - Sun, Chao
AU - Huo, Weiwei
AU - Sun, Fengchun
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - ADMM is an important convex optimization method in solving complex control problems. In fuel cell and battery hybrid vehicles, the power distribution control of fuel cell engine and the battery is critical, which is called energy management. This paper, for the first time, proposed an ADMM-based energy management strategy for a fuel cell hybrid bus. An augmented lagrangian equation and scaled dual form of the system model are established, to satisfy the standard form of ADMM. Algorithms are developed to validate the performance of proposed method under the driving cycles CHTC-HT and C-WTVC. Simulation results show that the ADMM-based energy management approach is able to realize real-time implementation, while maintaining over 95% optimality of hydrogen consumption compared to DP offline results.
AB - ADMM is an important convex optimization method in solving complex control problems. In fuel cell and battery hybrid vehicles, the power distribution control of fuel cell engine and the battery is critical, which is called energy management. This paper, for the first time, proposed an ADMM-based energy management strategy for a fuel cell hybrid bus. An augmented lagrangian equation and scaled dual form of the system model are established, to satisfy the standard form of ADMM. Algorithms are developed to validate the performance of proposed method under the driving cycles CHTC-HT and C-WTVC. Simulation results show that the ADMM-based energy management approach is able to realize real-time implementation, while maintaining over 95% optimality of hydrogen consumption compared to DP offline results.
KW - Alternating Direction Method of Multipliers
KW - Convex optimization
KW - Energy management
KW - Fuel cell hybrid bus
UR - https://www.scopus.com/pages/publications/85125201775
U2 - 10.1109/CCDC52312.2021.9601696
DO - 10.1109/CCDC52312.2021.9601696
M3 - Conference contribution
AN - SCOPUS:85125201775
T3 - Proceedings of the 33rd Chinese Control and Decision Conference, CCDC 2021
SP - 1407
EP - 1412
BT - Proceedings of the 33rd Chinese Control and Decision Conference, CCDC 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 33rd Chinese Control and Decision Conference, CCDC 2021
Y2 - 22 May 2021 through 24 May 2021
ER -