一种新的基于熵算法的质子交换膜燃料电池组健康状态预诊断方法

IF 15 1区 工程技术 Q1 ENERGY & FUELS
Lei Zhao , Jichao Hong , Hao Yuan , Pingwen Ming , Xuezhe Wei , Haifeng Dai
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引用次数: 0

摘要

有效、准确的电池健康状态诊断是保证燃料电池堆稳定运行的关键。由于燃料电池的时变特性,基于电流电压值的方法的可靠性面临挑战。利用改进的香农熵,提出了一种燃料电池健康状态评估和预诊断的新方法。结果表明,利用改进的香农熵量化电压波动程度可以有效地表征燃料电池的健康状态。通过极端工况、膜电极组件严重不一致老化、结构不合理等不同类型的实验数据,验证了该方法的灵敏度、通用性和可靠性。然后,利用熵与z分数相结合的方法,提出了考虑堆叠不一致性的异常系数,仅根据时序电压就能提前诊断出堆叠内异常单元;根据所建立的三级健康状态管理策略,实时判断燃料电池的异常程度。建议采取相应的治疗措施。最后,由于计算量小,易于实现,探索了该方法在汽车、大数据平台等实际系统中的应用前景,为未来燃料电池健康管理系统奠定了基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A novel pre-diagnosis method for health status of proton exchange membrane fuel cell stack based on entropy algorithms

A novel pre-diagnosis method for health status of proton exchange membrane fuel cell stack based on entropy algorithms

Effective and accurate cell health status diagnosis is key to ensuring the stable operation of the fuel cell stack. The reliability of the current voltage value-based method is challenging due to the solid time-varying nature of fuel cells. This paper utilizes modified Shannon entropy to propose a novel method for fuel cell health status evaluation and pre-diagnosis. It is revealed that fuel cell health status can be effectively characterized by quantifying the voltage fluctuation degree using modified Shannon entropy. Furthermore, its sensitivity, universality, and reliability are verified by different types of experimental data, including extreme operating conditions, membrane electrode assembly's severe inconsistent aging, and unreasonable structures. Then, an abnormal coefficient considering the stack inconsistency is proposed utilizing the entropy combined with the Z-score method and can diagnose in-stack abnormal cells in advance based only on timing voltage. Further, the fuel cell's abnormality level can be determined in real time according to the established three-level health status management strategy. Corresponding treatments are recommended. Finally, the method's application prospect in practical systems such as vehicles and big data platforms is explored due to the small computation and easy implementation, which builds a foundation for the future fuel cell health management system.

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来源期刊
Etransportation
Etransportation Engineering-Automotive Engineering
CiteScore
19.80
自引率
12.60%
发文量
57
审稿时长
39 days
期刊介绍: eTransportation is a scholarly journal that aims to advance knowledge in the field of electric transportation. It focuses on all modes of transportation that utilize electricity as their primary source of energy, including electric vehicles, trains, ships, and aircraft. The journal covers all stages of research, development, and testing of new technologies, systems, and devices related to electrical transportation. The journal welcomes the use of simulation and analysis tools at the system, transport, or device level. Its primary emphasis is on the study of the electrical and electronic aspects of transportation systems. However, it also considers research on mechanical parts or subsystems of vehicles if there is a clear interaction with electrical or electronic equipment. Please note that this journal excludes other aspects such as sociological, political, regulatory, or environmental factors from its scope.
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