Predicting Ion Transport Properties of Electrolytes Via Regression Modeling and Assessment of Factor Influence

In electrochemical systems, ion transport and charge transfer kinetics at the electrode–electrolyte interface are fundamental processes that dictate overall device efficiency. In this study, the dependence of ionic conductivity sigma (S·cm⁻¹) and charge transfer resistance R_{ct} (Omega·cm²) on temperature (T), KOH concentration (c), and mechanical deformation (varepsilon) was modeled using regression analysis based on a central non-composite design. Second-order multi-factor regression equations were constructed, with coefficient significance evaluated via Student’s t-test and model adequacy verified through the Fisher criterion. Consequently, a simplified equation for sigma (comprising only significant terms) was derived, and conclusions regarding dominant factor influence directions and optimization were formulated.