In addition to the LJ parameters, an adjustable scaling factor was applied on all atomic charges, which has a critical effect on electrical conductivity. Charge-scaled models and polarizable FF have both been proven to be effective in predicting transport properties, but polarizable model is computationally more intensive, compromising the efficiency of MD and its applicability in large-scale screening. So we focused on the charge-scaled model with different scaling factors to obtain an effective charge that can describe the charge shielding effect in electrolytes. Although it is a common approach in previous studies, it has been a challenge for charge-scaled models to simultaneously achieve accurate predictions for both thermodynamic and transport properties. To solve this problem, the LJ parameters were fine-tuned against density and evaporation enthalpy data under different scaling factors, while the charge scaling factor was manually scanned to achieve the best accuracy for electrical conductivity. As we show below, such a strategy reaches a much better balance between the prediction capabilities of different properties.