Estimation of Lithium Primary Battery Capacity Based on Pulse Load Test

Abstract

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.