Mathematical modeling and simulation remain underutilized by the battery industry not only because of the complexity involved in the model developments but also due to the lack of accurate predictions for practical applications. An accurate battery model and simulation can provide more insightful information than traditional laboratory testing and such knowledge can be applied to an extensive range of operating conditions that may not be feasible from laboratory testing. Therefore, such potential is attracting attention from the industry, prevailing by growing interests on battery engineering, energy and power management, and hybridization of power sources.
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