Real-time expected life and capacity on VRLA and flooded products unraveling the predicting code
M.R. Moore, J.T. Vigil, S. McElroy, G. Tsuchimoto · 2005
A general vision of battery capacity prediction as a function of multiple noninvasive measurements is presented. The importance of quantifying the uncertainty of such predictions is underscored. A valve-regulated lead acid (VRLA) cell group is chosen to develop and examine a detailed functional relationship of capacity with conductance; particular emphasis is placed on the range of 75-105% battery capacity. It is hoped that consolidation of the vast studies conducted throughout the industry will one day lead to a robust battery state of health prediction model with reasonable confidence limits.