TY - GEN
T1 - A Calculation-Efficient Predictive Energy Management Strategy for Fuel Cell Hybrid Electric Bus based on Improved Optimization Solver
AU - Gao, Miaojue
AU - He, Hongwen
AU - Huang, Ruchen
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - This paper proposes a calculation-efficient predictive energy management strategy (EMS) for a fuel cell hybrid electric bus (FCHEB) based on an improved optimization solver. A deep neural network (DNN) based speed predictor is trained using real bus driving dataset and then adopted to predict the bus speed. After that, the direct collocation method is applied to transform the energy management problem to a nonlinear optimization one. Moreover, a sequential quadratic programming (SQP) based high-precision solver combined with a low-precision dynamic programming (DP) solver is used to optimize the power allocation. Simulation results indicate that the proposed EMS can improve both the calculation accuracy and efficiency, decreasing the equivalent hydrogen consumption by 0.92% compared to the predictive EMS with a traditional DP solver.
AB - This paper proposes a calculation-efficient predictive energy management strategy (EMS) for a fuel cell hybrid electric bus (FCHEB) based on an improved optimization solver. A deep neural network (DNN) based speed predictor is trained using real bus driving dataset and then adopted to predict the bus speed. After that, the direct collocation method is applied to transform the energy management problem to a nonlinear optimization one. Moreover, a sequential quadratic programming (SQP) based high-precision solver combined with a low-precision dynamic programming (DP) solver is used to optimize the power allocation. Simulation results indicate that the proposed EMS can improve both the calculation accuracy and efficiency, decreasing the equivalent hydrogen consumption by 0.92% compared to the predictive EMS with a traditional DP solver.
KW - direct collocation method
KW - energy management strategy
KW - fuel cell hybrid electric bus
KW - model predictive control
KW - sequential quadratic programming
UR - http://www.scopus.com/inward/record.url?scp=85173613208&partnerID=8YFLogxK
U2 - 10.1109/ICIEA58696.2023.10241792
DO - 10.1109/ICIEA58696.2023.10241792
M3 - Conference contribution
AN - SCOPUS:85173613208
T3 - Proceedings of the 18th IEEE Conference on Industrial Electronics and Applications, ICIEA 2023
SP - 1123
EP - 1127
BT - Proceedings of the 18th IEEE Conference on Industrial Electronics and Applications, ICIEA 2023
A2 - Cai, Wenjian
A2 - Yang, Guilin
A2 - Qiu, Jun
A2 - Gao, Tingting
A2 - Jiang, Lijun
A2 - Zheng, Tianjiang
A2 - Wang, Xinli
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 18th IEEE Conference on Industrial Electronics and Applications, ICIEA 2023
Y2 - 18 August 2023 through 22 August 2023
ER -