收藏切换
Research on joint state estimation and fault diagnosis method for lithium battery
收藏切换
PDF
Bangting WANG1, 2, Li WANG1, Cong ZHENG1, Shanshui YANG1, Binxin GE1
Electrical Engineering | 2025, 26(7) : 1 - 12
Less
收藏切换
Electrical Engineering | 2025, 26(7): 1-12
Research & Development
Research on joint state estimation and fault diagnosis method for lithium battery
Full
Bangting WANG1, 2, Li WANG1, Cong ZHENG1, Shanshui YANG1, Binxin GE1
Affiliations
  • 1 College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106
  • 2 Shanghai Aircraft Design Research Institute, Shanghai 200000
Published: 2025-07-15
Outline
收藏切换

The running state of lithium batteries has the problems of insufficient accuracy of ontology state estimation and high difficulty of battery pack fault state diagnosis. A joint state estimation method based on electrothermal coupling model considering the influence of multiple factors is proposed, and a multi-sensor fault diagnosis method based on detection window and correlation coefficient is designed. For the state of lithium battery, firstly, the electrothermal coupling model of lithium battery is constructed based on the equivalent circuit model method. Secondly, the mechanism of joint estimation of state of charge (SOC) and state of health (SOH) is analyzed. Using extended Kalman filter (EKF) and particle filter (PF), combined with online parameter identification method, an online joint estimation model covering the whole life cycle of lithium battery is constructed to achieve accurate joint state estimation. For the battery pack fault state, the multi-sensor fault diagnosis method based on detection window and correlation coefficient realizes the accurate diagnosis and location of short circuit and open circuit faults. The experimental results verify the effectiveness of the proposed method, which can accurately reflect the operation state of the battery, and has certain engineering application value.

lithium battery  /  health management  /  electro-thermal coupling model  /  joint state estimation  /  multi-sensor fault diagnosis
Bangting WANG, Li WANG, Cong ZHENG, Shanshui YANG, Binxin GE. Research on joint state estimation and fault diagnosis method for lithium battery[J]. Electrical Engineering, 2025 , 26 (7) : 1 -12 .
Year 2025 volume 26 Issue 7
PDF
357
186
Cite this Article
BibTeX
Article Info
  • Receive Date:2024-12-23
  • Online Date:2025-10-29
  • Published:2025-07-15
Article Data
Affiliations
History
  • Received:2024-12-23
  • Revised:2025-02-13
Funding
Affiliations
    1 College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106
    2 Shanghai Aircraft Design Research Institute, Shanghai 200000
References
Share
https://castjournals.cast.org.cn/joweb/dqjs/EN/
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
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
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT