For the development of high energy density lithium-ion batteries with the high rate performance, the enhancement of the ion transport in the electrolyte solutions impregnated in the porous electrodes is a key. To study the ion transport in porous electrodes, anodic nanoporous alumina (APA) self-standing membranes with macro-or meso-pores were used as model porous materials. These membranes had nearly spherical pore channels of discrete 20-68 nm in diameters. By using the geometric shape of the pores, we attempted to evaluate the specific ion conductivities of the organic electrolyte solution dissolving lithium salt simply. AC impedance spectroscopy measurement of a four-electrode cell with membranes showed one depressed semicircle in the Nyquist plots and this semicircle can be assigned as the ion transport resistance in the pores. The specific ion conductivities evaluated from the ion transport resistances and the geometric parameters showed very small values, even in the macro-pores, as compared with that of the bulk electrolyte solution.
In this paper, we propose a technique to select an appropriate convergence criterion for developing precise thermal compact model. It is known that the compact modeling in thermal simulation can reduce the computing cost for a system level of thermal simulation. We have used the Response Surface Methodology (RSM) to identify parameters of the compact model. However the resulting RSM model is not accurate enough, because the fitness function in thermal simulation has many peak points. We find that this is due to the insufficient convergence of thermal simulation, by investigating temperature results in thermal simulation with the change in thermal conductivities. To solve this problem caused by the insufficient convergence, we optimize the convergence criteria of temperature.
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