Abstract
The need for an efficient approach to modeling and monitoring of the plethora of phenomena in battery applications cannot be overemphasized. On account of this, we present an approach that is computationally inexpensive and capable of predicting vital battery parameters in real-time especially for Microgrid applications. The chosen approach employs the Chebyshev-spectral method, which represents a cardinal shift from the traditional methods (finite difference, finite volume and finite element methods) along with a linearized charge transfer equation and a segregated solver. The attraction of this approach lies in its low computational cost, accuracy and real-time computations. By means of comparison with the conventional methods, we established the viability and efficiency of the Chebyshev spectral method for Microgrid applications.