Parallel structure-based decentralized model predictive control of vehicle PEMFC anode circulation system

IF 9 1区 工程技术 Q1 ENERGY & FUELS
Hongyuan Qing , Yuan Feng , Caizhi Zhang , Jinwu Gao , Hao Chen , Dong Hao , Pengcheng Yu , Milos Simonovic
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引用次数: 0

Abstract

Excessive pressure difference between the cathode and anode and insufficient hydrogen supply in proton exchange membrane fuel cell (PEMFC) can affect their stability, reliability and operating life. Therefore, in this paper, a decentralized model predictive controller (DMPC) based on the parallel structure of the ejector and hydrogen circulation pump is proposed to resist the disturbance of anode pressure and flow rate caused by current variation and purging. In addition, this structure can make up for the defect of the single ejector structure with too narrow operating range. Simulation results show that the proposed DMPC control strategy has better pressure stability and robustness than the traditional model predictive controller (MPC), and can achieve the ideal hydrogen excess ratio faster under low load conditions with step load current, variable reference and purge disturbance. In particular, even under loading current and purge disturbance condition of PEMFC hybrid vehicles, the DMPC with purge disturbance model has better pressure tracking performance and control stability, with an average absolute error of 56.69Pa and a root-mean-square error of 722.82Pa, which is 6.65 % lower than that of the MPC controller.
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来源期刊
Energy
Energy 工程技术-能源与燃料
CiteScore
15.30
自引率
14.40%
发文量
0
审稿时长
14.2 weeks
期刊介绍: Energy is a multidisciplinary, international journal that publishes research and analysis in the field of energy engineering. Our aim is to become a leading peer-reviewed platform and a trusted source of information for energy-related topics. The journal covers a range of areas including mechanical engineering, thermal sciences, and energy analysis. We are particularly interested in research on energy modelling, prediction, integrated energy systems, planning, and management. Additionally, we welcome papers on energy conservation, efficiency, biomass and bioenergy, renewable energy, electricity supply and demand, energy storage, buildings, and economic and policy issues. These topics should align with our broader multidisciplinary focus.
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