The battery component in energy-storage systems typically accounts for one-third of the up-front cost. In addition, the batteries will require periodic replacement and thereby introduce a recurring cost that can have a major impact on the economic feasibility of the installation. Consequently, it is essential to obtain an accurate estimation of lifetime energy throughput. In many cases, cycle-life data provided by the battery manufacturer is used to estimate the system economics. Unfortunately, such an approach can be inaccurate for a variety of reasons. For instance, advanced operating strategies, such as partial state-of-charge (PSOC) duty, can significantly increase battery lifetime energy throughput, relative to that experienced with traditional operation. Accelerated, simulated testing offers a practical means for obtaining an accurate estimate of battery performance. The formulation of an appropriate strategy does, however, require significant experience and care. In particular, the acceleration factor should be sufficient to minimize test costs and time without invoking failure mechanisms that are additional to those normally associated with the proposed duty. Several examples of the successful use of accelerated, simulated testing to predict the economic efficacy of lead–acid and other battery technologies in a variety of energy-storage applications are reviewed in the presentation.
Electric Applications Incorporated
Russell Newnham holds a PhD from Monash University in Melbourne, Australia. Between 1988 and 2005, he was a member of the CSIRO Novel Battery Technologies Group. He then continued his career in the USA. First at NorthStar Battery Company as its Technical Manager for research and product development, then at Electric Transportation Applications as Project Manager for remote-area power-supply and hybrid electric vehicle operations, and finally in his present role of providing technical direction in battery energy storage and testing at Electric Applications Incorporated.