TY - GEN
T1 - Estimation of Lithium Primary Battery Capacity Based on Pulse Load 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 primary batteries are widely used in devices that require long-life power supplies, and their capacity determines the reliability of the system. According to the voltage response characteristics of lithium primary batteries under pulse load test, a new method using the back propagation neural network to accurately estimate the ampere-hour capacity of lithium primary batteries is proposed. Since the voltage response measured under the same conditions changes with the decrease of battery capacity, the capacity features are extracted from the voltage response under pulse load test, and the combination of features and the corresponding capacity are used to build a capacity estimator. The advantages of this method are fast and simple measurement, and small capacity loss. The new approach is fully validated by experiments under various load conditions of lithium thionyl chloride batteries with different storage times.
AB - Lithium primary batteries are widely used in devices that require long-life power supplies, and their capacity determines the reliability of the system. According to the voltage response characteristics of lithium primary batteries under pulse load test, a new method using the back propagation neural network to accurately estimate the ampere-hour capacity of lithium primary batteries is proposed. Since the voltage response measured under the same conditions changes with the decrease of battery capacity, the capacity features are extracted from the voltage response under pulse load test, and the combination of features and the corresponding capacity are used to build a capacity estimator. The advantages of this method are fast and simple measurement, and small capacity loss. The new approach is fully validated by experiments under various load conditions of lithium thionyl chloride batteries with different storage times.
KW - ampere hour capacity estimation
KW - back propagation neural network
KW - lithium primary battery
KW - lithium thionyl chloride battery
KW - pulse load test
UR - https://www.scopus.com/pages/publications/85126194058
U2 - 10.1109/SRSE54209.2021.00031
DO - 10.1109/SRSE54209.2021.00031
M3 - 会议稿件
AN - SCOPUS:85126194058
T3 - Proceedings - 2021 3rd International Conference on System Reliability and Safety Engineering, SRSE 2021
SP - 139
EP - 144
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 -