Open AccessReliability Evaluation of Li / SOCl2 Battery for Smart Electricity Meter Based on Remaining Capacity
Author(s) -
Xuerong Ye,
Qisen Sun,
Haoxiang Li,
Wenwen Li,
Li Liu,
Guofu Zhai
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1043/3/032016
Subject(s) - backup , reliability (semiconductor) , reliability engineering , battery (electricity) , electricity , automotive engineering , smart meter , degradation (telecommunications) , capacity loss , computer science , engineering , power (physics) , electrical engineering , physics , quantum mechanics , database
The life and reliability of the battery are the keys to ensuring smart electricity meters function properly during a power outage. This paper aims to study the capacity prediction and reliability evaluation methods of lithium thionyl chloride batteries for smart electricity meters based on capacity degradation model. The mechanism of capacity attenuation of backup lithium battery of smart electricity meters is introduced. An accelerated aging test method is proposed to study the influence of storage time, working condition, and temperature on capacity degradation. A semi data-driven model is used to describe the capacity degradation. According to the mathematical model, battery life under different storage conditions in the working environment of smart meters can be calculated.