4.4 Article

Life prediction of lithium thionyl chloride batteries based on the pulse load test and accelerated degradation test

Journal

QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL
Volume 39, Issue 8, Pages 3335-3349

Publisher

WILEY
DOI: 10.1002/qre.3144

Keywords

accelerated degradation test; capacity estimation; life prediction; lithium thionyl chloride battery; pulse load test

Ask authors/readers for more resources

A novel method for predicting the life of lithium thionyl chloride batteries based on pulse load test and accelerated degradation test (ADT) is proposed in this paper. This method solves the challenge of quantifying degradation due to unknown initial values, and avoids capacity measurement errors by analyzing the impact of electrolyte fluidity on capacity loss.
The lithium thionyl chloride (Li/SOCl2) 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/SOCl2 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.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.4
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available