TY - JOUR
T1 - A new cost-minimizing power-allocating strategy for the hybrid electric bus with fuel cell/battery health-aware control
AU - He, Hongwen
AU - Jia, Chunchun
AU - Li, Jianwei
N1 - Publisher Copyright:
© 2022
PY - 2022/6/22
Y1 - 2022/6/22
N2 - The two primary challenges preventing the commercialization of fuel cell hybrid electric vehicles (FCHEV) are their high cost and limited lifespan. Improper use usage can could also hasten the breakdown of proton exchange membrane fuel cell (PEMFC). This paper proposes a new cost-minimizing power-allocating technique with fuel cell/battery health-aware control to optimize the economic potential of fuel cell/battery hybrid buses. The proposed framework quantifies the fuel cell (FC) deterioration of the whole working zone in a real hybrid electric bus using a long short-term memory network (LSTM), which reduces the time required to get the key lifetime parameters. A new FC lifespan model is embedded into the control framework, together with a battery aging model, to balance hydrogen consumption and energy source durability. In addition, in the speed prediction step, an enhanced online Markov prediction approach with stochastic disturbances is presented to increase the forecast accuracy for future disturbances. Finally, comparative analysis is used to verify the efficacy of the suggested approach, which shows that when compared to the benchmark method, the proposed strategy may extend the FC lifetime and lower operating costs by 5.04% and 3.76%, respectively.
AB - The two primary challenges preventing the commercialization of fuel cell hybrid electric vehicles (FCHEV) are their high cost and limited lifespan. Improper use usage can could also hasten the breakdown of proton exchange membrane fuel cell (PEMFC). This paper proposes a new cost-minimizing power-allocating technique with fuel cell/battery health-aware control to optimize the economic potential of fuel cell/battery hybrid buses. The proposed framework quantifies the fuel cell (FC) deterioration of the whole working zone in a real hybrid electric bus using a long short-term memory network (LSTM), which reduces the time required to get the key lifetime parameters. A new FC lifespan model is embedded into the control framework, together with a battery aging model, to balance hydrogen consumption and energy source durability. In addition, in the speed prediction step, an enhanced online Markov prediction approach with stochastic disturbances is presented to increase the forecast accuracy for future disturbances. Finally, comparative analysis is used to verify the efficacy of the suggested approach, which shows that when compared to the benchmark method, the proposed strategy may extend the FC lifetime and lower operating costs by 5.04% and 3.76%, respectively.
KW - Energy management strategy
KW - Energy source durability
KW - Fuel cell hybrid electric vehicles
KW - Health-aware control
UR - http://www.scopus.com/inward/record.url?scp=85131455699&partnerID=8YFLogxK
U2 - 10.1016/j.ijhydene.2022.04.297
DO - 10.1016/j.ijhydene.2022.04.297
M3 - Article
AN - SCOPUS:85131455699
SN - 0360-3199
VL - 47
SP - 22147
EP - 22164
JO - International Journal of Hydrogen Energy
JF - International Journal of Hydrogen Energy
IS - 52
ER -