Energy Storage Science and Technology ›› 2022, Vol. 11 ›› Issue (2): 643-651.doi: 10.19799/j.cnki.2095-4239.2021.0437

• Energy Storage Test: Methods and Evaluation • Previous Articles     Next Articles

An engineering method for detection of problems of lithium iron phosphate batteries

Shangyu ZHAO(), Zhen ZHANG, Baoyuan WANG, Quhu ZENG   

  1. Shenzhen Clou Co. Ltd. , Shenzhen 518000, Guangdong, China
  • Received:2021-08-23 Revised:2021-09-08 Online:2022-02-05 Published:2022-02-08
  • Contact: Shangyu ZHAO E-mail:280747844@qq.com

Abstract:

Lithium iron phosphate batteries (LFP) are widely used in large-scale battery energy storage systems. To improve the operating performance and ensure the safety of the battery system, people urgently need an on-site fault diagnosis for inconsistent cells that is engineered to be fast and accurate to support the rapid diagnosis and maintenance of the system. In this study, an algorithm based on battery charge and discharge characteristics is proposed to realize the classification of inconsistent cells by multiple-outlier detection. On this basis, the battery deviation capacity is computed and used as the optimization coefficient to prioritize the difficulties, which brings great ease to engineering operation and maintenance. Practical results show that the proposed method has the characteristics of high identification accuracy, simple parameter adjustment, and low computational complexity, which makes it suitable for on-site engineering and has important guiding significance for the maintenance of energy storage power stations.

Key words: on-site monitoring of energy storage power stations, lithium iron phosphate battery, Gaussian distribution model, Grubbs test, optimization coefficient

CLC Number: