A Scalable Segmented-Based PEM Fuel Cell Hybrid Power System Model and Its Simulation Applications

Lianghui Huang, Quan Ouyang (), Jian Chen, Zhiyang Liu and Xiaohua Wu
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Lianghui Huang: School of Automation and Electrical Engineering, Zhejiang University of Science and Technology, Hangzhou 310023, China
Quan Ouyang: College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211100, China
Jian Chen: State Key Laboratory of Fluid Power & Mechatronic System, School of Mechanical Engineering, Zhejiang University, Hangzhou 310058, China
Zhiyang Liu: State Key Laboratory of Fluid Power & Mechatronic System, School of Mechanical Engineering, Zhejiang University, Hangzhou 310058, China
Xiaohua Wu: Vehicle Measurement Control and Safety Key Laboratory of Sichuan Province, Xihua University, Chengdu 610039, China

Energies, 2023, vol. 16, issue 17, 1-13

Abstract: A scalable segmented-based proton-exchange membrane fuel cell (PEMFC) hybrid power system model is developed in this paper. The fuel cell (FC) is developed as a dynamic lumped parameter model to predict the current distributions during dynamic load scenarios. The fuel cell is segmented into 3 × 3 segments connected with several physical ports and with the variables balanced automatically. Based on the proposed model, a real-time energy management framework is designed to distribute the load current demand during dynamic operations. Simulation results show that the proposed strategy has good performance on both single/segmented fuel cell–battery hybrid systems and the low battery state of charge (SOC) situation. This paper proposes an approach that uses an interconnected ordinary differential equations (ODEs) system model in control problems, which makes the control algorithms readily applicable.

Keywords: PEMFC; segmentation; scalability; hybrid power system (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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