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An online prognostics-based health management strategy for fuel cell hybrid electric vehicles

机译:基于在线预测的燃料电池混合电动汽车健康管理策略

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摘要

As the energy transformation in the transportation sector is taking place driven by the development of fuel cell technologies, fuel cell hybrid electric vehicles become promising solutions owing to their long driving duration and zero emissions. However, the unsatisfied lifespan of fuel cells is an inevitable obstacle for their massive commercialization. This paper aims to propose an online adaptive prognostics-based health management strategy for fuel cell hybrid electric vehicles, which can improve the durability of the fuel cell thanks to online health monitoring. Here, particle filtering method is adapted for online fuel cell prognostics and the uncertainty of the predicted results is calculated based on the distribution of particles. A health management strategy is developed based on prognostics and a decision-making process is designed by considering the prognostics uncertainty through a decision fusion method. The obtained results show that the developed strategy has effectively improved the durability of the on-board fuel cell by up to 95.4%. Moreover, a sensitivity analysis of the prognostics occurrence frequency and probability calculation has also been conducted in this paper.@& nbsp;2021 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. All rights reserved.
机译:随着运输部门的能量转换正在推动燃料电池技术的发展驱动,由于其长驾驶持续时间和零排放,燃料电池混合动力电动汽车成为有希望的解决方案。然而,燃料电池的不满意的寿命是巨大商业化的不可避免的障碍。本文旨在提出一种用于燃料电池混合动力电动汽车的在线自适应预后的健康管理策略,这归功于在线健康监测,可以提高燃料电池的耐久性。这里,颗粒滤波方法适用于在线燃料电池预测,并且基于粒子的分布计算预测结果的不确定性。基于预后的人开发了一种健康管理策略,并通过考虑通过决策融合方法的预测不确定性来设计决策过程。得到的结果表明,发达的策略已有效地将车载燃料电池的耐久性提高了95.4%。此外,还在本文中进行了预后发生频率和概率计算的灵敏度分析。@  2021氢能量出版物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24期|13206-13218|共13页
  • 作者单位

    Univ Bourgogne Franche Comte CNRS FEMTO ST Inst F-90000 Belfort France|Univ Bourgogne Franche Comte CNRS FCLAB F-90000 Belfort France;

    Univ Bourgogne Franche Comte CNRS FEMTO ST Inst F-25000 Besancon France;

    Univ Bourgogne Franche Comte CNRS FEMTO ST Inst F-90000 Belfort France|Univ Bourgogne Franche Comte CNRS FCLAB F-90000 Belfort France;

    Univ Bourgogne Franche Comte CNRS FEMTO ST Inst F-25000 Besancon France|Univ Bourgogne Franche Comte CNRS FCLAB F-90000 Belfort France;

  • 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

    Decision fusion; Health management; Fuel cell; Hybrid electric vehicle; Prognostics;

    机译:决策融合;健康管理;燃料电池;混合电动车;预测;
  • 入库时间 2022-08-19 02:09:29

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