TY - GEN
T1 - Life Prediction of Lithium Thionyl Chloride Battery Based on Pulse Load Test and Accelerated Degradation Test
AU - Sun, Qisen
AU - Ye, Xuerong
AU - Li, Haoxiang
AU - Li, Wenwen
AU - Yuan, Ruiming
AU - Zhai, Guofu
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - Lithium thionyl chloride batteries are widely used in equipment that requires a long-life backup power source, and their life determines the reliability of the equipment. This paper proposes a new method for life prediction of Lithium thionyl chloride battery based on pulse load test and accelerated degradation test. Through the pulse load test, the capacity features are extracted from the voltage response of the battery, and the capacity estimator is constructed by back propagation neural network. The pulse load test method can estimate the capacity quickly and non-destructively, so the capacity degradation of the primary battery can be accurately described. On this basis, an accelerated degradation test is carried out, and the discharge angle and electrolyte fluidity are analyzed to avoid the measurement error of degradation. According to the exponential influence of time and temperature on capacity degradation, a life prediction model with satisfactory ability to approximate measured data is established.
AB - Lithium thionyl chloride batteries are widely used in equipment that requires a long-life backup power source, and their life determines the reliability of the equipment. This paper proposes a new method for life prediction of Lithium thionyl chloride battery based on pulse load test and accelerated degradation test. Through the pulse load test, the capacity features are extracted from the voltage response of the battery, and the capacity estimator is constructed by back propagation neural network. The pulse load test method can estimate the capacity quickly and non-destructively, so the capacity degradation of the primary battery can be accurately described. On this basis, an accelerated degradation test is carried out, and the discharge angle and electrolyte fluidity are analyzed to avoid the measurement error of degradation. According to the exponential influence of time and temperature on capacity degradation, a life prediction model with satisfactory ability to approximate measured data is established.
KW - Accelerated degradation test
KW - Life prediction
KW - Lithium thionyl chloride battery
KW - Pulse load test
KW - capacity estimation
UR - https://www.scopus.com/pages/publications/85126244957
U2 - 10.1109/SRSE54209.2021.00037
DO - 10.1109/SRSE54209.2021.00037
M3 - 会议稿件
AN - SCOPUS:85126244957
T3 - Proceedings - 2021 3rd International Conference on System Reliability and Safety Engineering, SRSE 2021
SP - 174
EP - 180
BT - Proceedings - 2021 3rd International Conference on System Reliability and Safety Engineering, SRSE 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 3rd International Conference on System Reliability and Safety Engineering, SRSE 2021
Y2 - 26 November 2021 through 28 November 2021
ER -