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A fuzzy logic PI control with feedforward compensation for hydrogen pressure in vehicular fuel cell system

机译:一种模糊逻辑PI对车辆燃料电池系统氢气压力的馈电补偿

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摘要

In a vehicular fuel cell system, alternative load and frequent purge action can lead to anode pressure varies with the hydrogen mass flow fluctuation. It's crucial to control the pressure difference between anode and cathode within a reasonable range to avoid adverse phenomena such as membrane failure, reactant starvation, or even water management fault. In this paper, an improved proportional integrative (PI) controller by the fuzzy logic technique that considers the engineer experience and knowledge on the hydrogen supply system behavior is proposed for hydrogen pressure control, in which the PI parameters are tuned by a fuzzy decision process. Furthermore, load current and purge action regarded as input disturbances are applied for feedforward compensation to reduce the pressure response hysteresis. A hydrogen supply subsystem based on the proportional valve is modeled, and corresponding parameters are determined by analyzing the response time and steady pressure fluctuation. The performance of the conventional PI controller, the fuzzy logic PI (FLPI) controller and fuzzy logic PI with feedforward (FLPIF) controller is validated. The presented results indicated that the FLPI controller significantly improves the dynamic response of hydrogen pressure compared to the PI controller, and the FLPIF controller can further reduce overshoot caused by disturbance. Finally, the proposed FLPIF controller is implemented on a rapid prototype platform of the hydrogen supply subsystem and an actual fuel cell system, exhibiting satisfactory performance. (C) 2020 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. All rights reserved.
机译:在车辆燃料电池系统中,替代负载和频繁吹扫作用可能导致阳极压力随氢气质量流量波动而变化。在合理的范围内控制阳极和阴极之间的压力差至至关重要的是,以避免不利现象,例如膜失效,反应性饥饿,甚至水管理故障。本文提出了一种改进的比例集成(PI)控制器,其考虑了工程师体验和关于氢气供应系统行为的知识,用于氢气压力控制,其中PI参数被模糊决策过程调整。此外,施加被视为输入干扰的负载电流和吹扫作用用于馈电补偿以减少压力响应滞后。基于比例阀的氢供应子系统是建模的,并且通过分析响应时间和稳压波动来确定相应的参数。验证了传统PI控制器,模糊逻辑PI(FLPI)控制器和具有馈电(FLPIF)控制器的模糊逻辑PI(FLPI)控制器和模糊逻辑PI的性能。所提出的结果表明,与PI控制器相比,FLPI控制器显着提高了氢气压力的动态响应,并且FLPIF控制器可以进一步减少由干扰引起的过冲。最后,所提出的FLPIF控制器在氢气供应子系统的快速原型平台和实际燃料电池系统上实现,表现出令人满意的性能。 (c)2020氢能源出版物LLC。 elsevier有限公司出版。保留所有权利。

著录项

  • 来源
    《International journal of hydrogen energy》 |2021年第7期|5714-5728|共15页
  • 作者单位

    Tongji Univ Sch Automot Studies Shanghai Peoples R China|Natl Fuel Cell Vehicle Powertrain Syst Res & Engn Shanghai Peoples R China;

    Tongji Univ Sch Automot Studies Shanghai Peoples R China|Natl Fuel Cell Vehicle Powertrain Syst Res & Engn Shanghai Peoples R China;

    Haidriver Energy Technol Co Ltd Qingdao Peoples R China;

    Haidriver Energy Technol Co Ltd Qingdao Peoples R China;

    Haidriver Energy Technol Co Ltd Qingdao Peoples R China;

    Tongji Univ Sch Automot Studies Shanghai Peoples R China|Natl Fuel Cell Vehicle Powertrain Syst Res & Engn Shanghai Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Fuel cell system; Hydrogen pressure; Proportional integrative; Fuzzy logic; Feedforward;

    机译:燃料电池系统;氢气压力;比例一体化;模糊逻辑;馈电;
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