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Fault Classification Methods for Fuel Cell Vehicles under Poor Data Conditions
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Zhenyu Nie1, 2, Liangyu Li1, 2, Guangxiu Zhang1, Shuai Chen1, 2, Xiaohui Zhang1, 2
Automotive Digest | 2024, (6) : 39 - 44
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Automotive Digest | 2024, (6): 39-44
Fault Classification Methods for Fuel Cell Vehicles under Poor Data Conditions
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Zhenyu Nie1, 2, Liangyu Li1, 2, Guangxiu Zhang1, Shuai Chen1, 2, Xiaohui Zhang1, 2
Affiliations
  • 1 China Automotive Technology & Research Center Co., Ltd., Tianjin, 300300
  • 2 CATARC Automotive Test Center (Tianjin) Co., Ltd., Tianjin, 300300
Published: 2024-06-05 doi: 10.19822/j.cnki.1671-6329.20230260
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Fuel cell vehicle (FCV) is an important direction for the sustainable development of the automotive industry in the future. However, existing test and evaluation standards for FCVs have not thoroughly examined the types of faults and their classification. There is a lack of a unified fault grading classification scheme. To solve this issue, a comprehensive set of grading classification evaluation indicators for FCV faults is proposed to standardize the levels of related faults. The focus is on researching methods for classifying FCV faults in the case of lack of data. Based on factor analysis and fuzzy set theory, a fault mode classification evaluation method for FCVs under data scarcity conditions is proposed, offering guidance for the classification of FCV fault levels.

Fuel cell vehicle(FCV)  /  Data deficiency  /  Fault classification  /  Fuzzy set theory  /  Factor analysis method
Zhenyu Nie, Liangyu Li, Guangxiu Zhang, Shuai Chen, Xiaohui Zhang. Fault Classification Methods for Fuel Cell Vehicles under Poor Data Conditions[J]. Automotive Digest, 2024 , (6) : 39 -44 . DOI: 10.19822/j.cnki.1671-6329.20230260
Year 2024 volume Issue 6
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doi: 10.19822/j.cnki.1671-6329.20230260
  • Online Date:2025-11-25
  • Published:2024-06-05
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    1 China Automotive Technology & Research Center Co., Ltd., Tianjin, 300300
    2 CATARC Automotive Test Center (Tianjin) Co., Ltd., Tianjin, 300300
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表12种不同金属材料的力学参数

Family
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Number of
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Number of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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