Application of grey relational analysis on the prediction of battery capacity

Lead-acid battery is the basic components of the emergency power supply (EPS) system because of its large capacity, low cost and low self-discharge rate, while the remaining capacity as an important parameter to measure the battery capacity indicator directly affects the safe operation of the system. A model, GM (1, N) gray model, is introduced in this paper to figure out the remaining capacity of batteries with two factors, the terminal voltage and internal resistance of batteries. The paper does practical test to the battery´s voltage, resistance and capacity first to validate the feasibility of the model, then selects the related parameters rationally so that the model can be used to predict the capacity of batteries. And the end paper depicts the error analysis. The results of the experiment show that the model has the advantages of simple operation, low complexity and high precision, that is, the model is of high practical value.