TY - JOUR
T1 - A novel energy management strategy for hybrid electric bus with fuel cell health and battery thermal- and health-constrained awareness
AU - Jia, Chunchun
AU - Zhou, Jiaming
AU - He, Hongwen
AU - Li, Jianwei
AU - Wei, Zhongbao
AU - Li, Kunang
AU - Shi, Man
N1 - Publisher Copyright:
© 2023
PY - 2023/5/15
Y1 - 2023/5/15
N2 - In the field of future transportation, hydrogen fuel cell hybrid electric vehicles (FCHEVs) are regarded as the most potential renewable energy vehicles, but improper use of the Lithium-ion battery (LIB) system and the proton exchange membrane fuel cell system (PEMFCS), during vehicle operation, can significantly increase the maintenance costs of the vehicle. In order to fully utilize the economic potential of FCHEVs, a novel cost-minimization energy management strategy (EMS) is proposed in this paper. Specifically, for the first time, thermal safety and degradation awareness for on-board LIB system are integrated into the optimization framework with fuel cell aging suppression to trade-off energy sources durability and hydrogen mass consumption. In addition, an enhanced online self-learning stochastic Markov predictor is proposed in the speed prediction stage to improve the prediction accuracy for future driving conditions. Finally, the effectiveness of the proposed method is verified by comparison. The results show that the proposed strategy can reduce the battery aging rate by 34.8% and the total operating cost by 12.3% compared to the overheat-protection neglecting strategy.
AB - In the field of future transportation, hydrogen fuel cell hybrid electric vehicles (FCHEVs) are regarded as the most potential renewable energy vehicles, but improper use of the Lithium-ion battery (LIB) system and the proton exchange membrane fuel cell system (PEMFCS), during vehicle operation, can significantly increase the maintenance costs of the vehicle. In order to fully utilize the economic potential of FCHEVs, a novel cost-minimization energy management strategy (EMS) is proposed in this paper. Specifically, for the first time, thermal safety and degradation awareness for on-board LIB system are integrated into the optimization framework with fuel cell aging suppression to trade-off energy sources durability and hydrogen mass consumption. In addition, an enhanced online self-learning stochastic Markov predictor is proposed in the speed prediction stage to improve the prediction accuracy for future driving conditions. Finally, the effectiveness of the proposed method is verified by comparison. The results show that the proposed strategy can reduce the battery aging rate by 34.8% and the total operating cost by 12.3% compared to the overheat-protection neglecting strategy.
KW - Battery thermal- and health-constrained awareness
KW - Energy management strategy
KW - Energy sources durability
KW - Fuel cell health control
KW - Fuel cell hybrid electric vehicles
UR - http://www.scopus.com/inward/record.url?scp=85149344070&partnerID=8YFLogxK
U2 - 10.1016/j.energy.2023.127105
DO - 10.1016/j.energy.2023.127105
M3 - Article
AN - SCOPUS:85149344070
SN - 0360-5442
VL - 271
JO - Energy
JF - Energy
M1 - 127105
ER -