Deterioration-detection and Failure-detection Algorithms for Storage Batteries Using Hysteresis Characteristics

Abstract

We developed deterioration-detection and failure-detection algorithms for a storage battery and succeeded in declaring the timing of future failure by using the hysteresis characteristics of the storage battery and voltage change of only a few seconds. The greatest advantage of these algorithms is using the change in hysteresis caused by the physical phenomenon of the storage battery, i.e., the change in resistance due to deterioration and difference in thermal reaction energy during discharging. We evaluated storage batteries by linking these hysteresis characteristics with voltage change after charging and discharging. By capturing the difference in or ratio of the voltage change after charging and discharging, we could determine the health and failure potential of a storage battery. For cells with failure potential, we could detect the failure timing six months in advance and we experimentally confirmed that the cell actually failed.