The present invention relates to a method for predicting the performance of a battery using a two-dimensional modeling of a lithium-ion secondary battery. For the application of the two-dimensional model, the influence of particle coating and conductive agent with regard to the efficiency and electric conductivity of electrode were studied. Both the particle coating and conductive agent were found to be effective for the enhancement of electric conductivity, whereas a uniformly distributed conductive agent was found not only to enhance the electric conductivity but also the electrode efficiency significantly. Moreover, an additional study was conducted on the influence of particle size on the electric conductivity of electrode. According to the study, an electrode made of particles with small diameter possesses higher contact resistance than an electrode made of particles with large diameter, thus possessing even lower electric conductivity. According to an aspect of the method for predicting the performance of a battery using a two-dimensional modeling of a lithium-ion secondary battery, the performance of a battery could be either the electric conductivity or electrode efficiency, or both. The method of the present invention includes the steps of: determining components of an electrode morphology and a component parameter; creating a two-dimensional electrode morphology by using the components; and obtaining either the electric conductivity or electrode efficiency, or both from the two-dimensional electrode morphology.
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