A LabVIEW-based fault diagnosis system for lithium-ion battery

被引：0
|
作者：
Tang Zining [1 ]
Fang Yunzhou [2 ]
Peng Qingfeng [3 ]
机构：
[1] Chinese Acad Sci Beijing, Inst Elect Engn, Key Lab Power Elect & Elect Drives, Beijing, Peoples R China
[2] Chery New Energy Automot Technol Co LTD, Hubei, Peoples R China
[3] Hefei Univ Technol Hefei, Hefei, Peoples R China
来源：
2011 ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC) | 2011年
关键词：
Electrical Vehicles; Lithium ion battery; Diagnostic system; LabVIEW;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
The research mainly focuses on the development process, realization methodology of the hardware and software functional models and the actual function of the fault monitoring and diagnostic system based on LabVIEW. In hardware section, the components of hardware system and the functions of each component are introduced. In software section, we respectively introduced the functions and implementation methods of the data acquisition module, data storage module, display module and management module.
引用
收藏
页数：4
相关论文
共 50 条
  • [1] Lithium-ion battery fault diagnosis method based on KPCA-MTCN
    Tan, Qipeng
    Li, Yongqi
    Chen, Man
    Zhang, Lingxian
    Peng, Peng
    Wan, Minhui
    Gongcheng Kexue Xuebao/Chinese Journal of Engineering, 2024, 46 (12): : 2297 - 2306
  • [2] Leveraging Structures in Fault Diagnosis for Lithium-Ion Battery Packs
    Farakhor, Amir
    Wu, Di
    Wang, Yebin
    Fang, Huazhen
    2024 IEEE 7TH INTERNATIONAL CONFERENCE ON INDUSTRIAL CYBER-PHYSICAL SYSTEMS, ICPS 2024, 2024,
  • [3] A review of fault characteristics, fault diagnosis and identification for lithium-ion battery systems
    Yang J.
    Lin Z.
    Tang J.
    Fan C.
    Sun K.
    Huagong Xuebao/CIESC Journal, 2022, 73 (08): : 3394 - 3405
  • [4] Fault diagnosis and abnormality detection of lithium-ion battery packs based on statistical distribution
    Xue, Qiao
    Li, Guang
    Zhang, Yuanjian
    Shen, Shiquan
    Chen, Zheng
    Liu, Yonggang
    JOURNAL OF POWER SOURCES, 2021, 482
  • [5] Model-based Sensor Fault Diagnosis of a Lithium-ion Battery in Electric Vehicles
    Liu, Zhentong
    He, Hongwen
    ENERGIES, 2015, 8 (07): : 6509 - 6527
  • [6] Internal Short Circuit Fault Diagnosis for Lithium-ion Battery Based on Voltage and Temperature
    Yang, Bin
    Cui, Naxin
    Wang, Mingchun
    2019 3RD CONFERENCE ON VEHICLE CONTROL AND INTELLIGENCE (CVCI), 2019, : 160 - 165
  • [7] Review of Lithium-Ion Battery Fault Features, Diagnosis Methods, and Diagnosis Procedures
    Zhao, Jiahui
    Liu, Mingyi
    Zhang, Bin
    Wang, Xiaolong
    Liu, Dawei
    Wang, Jianxing
    Bai, Panxing
    Liu, Chenghao
    Sun, Yue
    Zhu, Yong
    IEEE INTERNET OF THINGS JOURNAL, 2024, 11 (11): : 18936 - 18950
  • [8] Sensor fault diagnosis for lithium-ion battery packs based on thermal and electrical models
    Tian, Jiaqiang
    Wang, Yujie
    Chen, Zonghai
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2020, 121
  • [9] Fault Diagnosis in Lithium-ion Battery of Hybrid Electric Aircraft based on Structural Analysis
    Cheng, Ye
    D'Arpino, Matilde
    Rizzoni, Giorgio
    2022 IEEE/AIAA TRANSPORTATION ELECTRIFICATION CONFERENCE AND ELECTRIC AIRCRAFT TECHNOLOGIES SYMPOSIUM (ITEC+EATS 2022), 2022, : 997 - 1004
  • [10] A Quantitative Fault Diagnosis Method for Lithium-Ion Battery Based on MD-LSTM
    Li, Jinglun
    Mao, Ziheng
    Gu, Xin
    Tao, Xuewen
    Shang, Yunlong
    IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION, 2025, 11 (01): : 2266 - 2276
12345