Statistical distribution of Lithium-ion batteries useful life and its application for battery pack reliability

Shuen Lin Jeng, Cher Ming Tan, Ping Chia Chen

研究成果: Article同行評審

7 引文 斯高帕斯(Scopus)


Lifetime distributions of components enables us to compute the reliability of a system that consists of these components. Generally, lifetime distribution is determined from accelerated life testing of the components, but this cannot be applied for the case of Lithium-Ion battery (LiB). Consequently, industry is using state of health to indicate the reliability of LiB and its associated system, and this cannot provide prediction to the LiB pack reliability according to the system reliability theory that has long been established. This work derives statistical time to failure distribution of LiBs from their experimental discharge degradation paths using a statistical capacity fading (SCF) model with fixed and random coefficients (mixed effect), and our method demonstrated that less than 50% of their entire life cycle data is sufficient for the distribution determination. In contrast to the statistical methods in literatures, our model was based on a simplification of the electrochemistry-based electrical (ECBE) model which had a strong support from electrochemistry theory. With the time to failure distribution of LiBs determined, the reliability and life span of LiB pack with various structure connections can now be computed as shown with examples here. The important of having the LiBs to degrade at similar rate is also demonstrated with the life time distribution of the LiBs, and the optimal connection for a given set of LiBs where the pack reliability is the highest is derived.

期刊Journal of Energy Storage
出版狀態Published - 2022 7月

All Science Journal Classification (ASJC) codes

  • 可再生能源、永續發展與環境
  • 能源工程與電力技術
  • 電氣與電子工程


深入研究「Statistical distribution of Lithium-ion batteries useful life and its application for battery pack reliability」主題。共同形成了獨特的指紋。