Energy management optimization control strategy for multi-module parallel hydrogen fuel cell/battery hybrid power generation system for urban electric multiple units

• Published in: Dianji yu Kongzhi Xuebao = Electric Machines and Control Vol. 29; no. 6; p. 44
• Main Authors: Tan, Haolan, Wang, Tianhong, Li, Qi, Wang, Hailong, Li, Xiang, Chen, Weirong
• Format: Journal Article
• Language: Chinese; English
• Published: Harbin Harbin University of Science and Technology 01.01.2025
• Subjects: Consumption; Cost function; Electric railroads; Energy management; Fuel cells; Hydrogen fuels; Modules; Optimization; Performance degradation; Physical simulation; Quadratic programming; Railcars; Service life assessment
• ISSN: 1007-449X
• DOI: 10.15938/j.emc.2025.06.005

To reduce the performance degradation of fuel cells and prolong the service life of multi-stack fuel cell systems, an energy management optimization control strategy for multi-module parallel fuel cell/battery hybrid power generation system for urban electric multiple units considering fuel cells performance optimization（FPO-EMS） was proposed. This strategy evaluated the service life consistency of multi-stack fuel cells through discrete coefficients, and constructed a cost function that considered the hydrogen consumption of fuel cells and battery, the performance degradation and service life consistency of multi-stack fuel cells, and the state of charge constraints of battery. The sequential quadratic programming algorithm was used to optimize the cost function. The semi physical simulation results show that compared with the equivalent consumption minimum strategy and the energy management strategy based on the minimum total cost of the system operating, the proposed energy management strategy reduces system hydrogen consumption by 2.58% and 0.43% respectively, and extends the service life of multi stack fuel cell systems by 45.53% and 21.35% respectively. It shows that the proposed strategy can effectively control the consistency of multi-stack fuel cells and improve the operation economy of the system.