备份
电池(电)
降级(电信)
容量损失
可靠性工程
可靠性(半导体)
锂(药物)
功率(物理)
氯化亚砜
电解质
汽车工程
模拟
工程类
材料科学
电气工程
氯化物
化学
机械工程
热力学
电极
医学
冶金
物理化学
内分泌学
物理
作者
Xuerong Ye,Qisen Sun,Wenwen Li,Guofu Zhai
摘要
Abstract The lithium thionyl chloride (Li/SOCl 2 ) battery is widely used as an important long‐life backup power source. Accurate battery life prediction is essential to ensure the reliability of equipment and systems. In this paper, a novel method was proposed for the life prediction of Li/SOCl 2 batteries based on the pulse load test and accelerated degradation test (ADT). The proposed pulse load test method can estimate the primary battery capacity accurately and nondestructively, which solves the challenge of quantifying degradation due to unknown initial values. Furthermore, we noticed a new phenomenon that capacity loss was affected by electrolyte fluidity, and unexpected capacity loss was observed for batteries at different discharge angles. By analyzing the mechanism of this phenomenon, we avoided serious capacity measurement errors in the 24‐week ADT. A life prediction model with a satisfactory ability to approximate the measured data was established depending on the exponential influence of time and temperature on capacity degradation.
科研通智能强力驱动
Strongly Powered by AbleSci AI