TY - GEN
T1 - Multi-objective optimization for energy management of fuel cell hybrid electric vehicles
AU - Liu, Hao
AU - Chen, Jian
AU - Wu, Chengshuai
AU - Chen, Hao
N1 - Publisher Copyright:
© 2018 AACC.
PY - 2018/8/9
Y1 - 2018/8/9
N2 - Energy management strategies (EMSs) are crucial for enhancing the economy and durability of fuel cell hybrid electric vehicles (FCHEVs), However, most existing EMSs are only concerned with economy and ignore the durability, especially the durability of the energy sources. In this paper, based on an improved FCHEV powertrain model, an equivalent cost function considering both economy and durability is developed, and then a fuzzy logic based EMS is designend to realize the energy distribution between fuel cell and battery. After that, based on three different driving cycles, the teaching learning based optimization (TLBO) is introduced to solve the parameters optimization problem of the fuzzy logic based multiobjective EMS. Test results show that the TLBO algorithm has faster convergence rate and better optimization results than the existing genetic algorithm approach.
AB - Energy management strategies (EMSs) are crucial for enhancing the economy and durability of fuel cell hybrid electric vehicles (FCHEVs), However, most existing EMSs are only concerned with economy and ignore the durability, especially the durability of the energy sources. In this paper, based on an improved FCHEV powertrain model, an equivalent cost function considering both economy and durability is developed, and then a fuzzy logic based EMS is designend to realize the energy distribution between fuel cell and battery. After that, based on three different driving cycles, the teaching learning based optimization (TLBO) is introduced to solve the parameters optimization problem of the fuzzy logic based multiobjective EMS. Test results show that the TLBO algorithm has faster convergence rate and better optimization results than the existing genetic algorithm approach.
KW - Energy management strategy
KW - fuel cell hybrid electric vehicles
KW - multi-objective optimization
KW - teaching learning based optimization
UR - http://www.scopus.com/inward/record.url?scp=85052602800&partnerID=8YFLogxK
U2 - 10.23919/ACC.2018.8430898
DO - 10.23919/ACC.2018.8430898
M3 - ???researchoutput.researchoutputtypes.contributiontobookanthology.conference???
AN - SCOPUS:85052602800
SN - 9781538654286
T3 - Proceedings of the American Control Conference
SP - 6303
EP - 6308
BT - 2018 Annual American Control Conference, ACC 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 Annual American Control Conference, ACC 2018
Y2 - 27 June 2018 through 29 June 2018
ER -