Аналіз факторів впливу на термін служби акумуляторів

ENG: The wide application of batteries makes their lifecycle prognosis a challenging and hot topic in the battery management research field. Feature extraction is a key step for the lifetime prognostics of batteries, which takes a significant effect on the accuracy of performance prognosis. The state of charge of a battery depends on many parameters. Their discharge and charge curves represent a nonlinear process that depends both on the battery's own chemical processes and on its operating parameters. The battery's own effects that introduce nonlinearity are self-discharge, degradation, hysteresis, etc. The operating parameters on which the discharge curve depends are the discharge current, battery temperature, number of discharge cycles, charging conditions, etc. The main reasons that lead to irreversible degradation of the battery and deterioration of its performance characteristics are considered. Recommendations are given for maintaining high performance indicators over the longest period of use.