Technology implementation of stationary battery failure prediction

Business losses due to network interruption and downtime are enormous. System downtime can negatively impact all facets of a business. To some, the installation of a UPS system has improved the odds, but the UPS is dependent on back-up batteries which in themselves account for most UPS failures. What can be done to improve the odds such that battery failure is minimized? Is it possible to predict battery system failure by some passive measuring means before the battery causes system failure and business loss? This paper describes a method employed by a commercially available battery monitoring system which, through impedance and other measurements, provides the user with a viable and predictive approach to improving overall system reliability. Examples of actual battery parameters as measured in a field installation are provided to illustrate the concepts employed.<>