We have shown that while generally under-predicting experimental ionic conductivities, Class 1 force fields, like OPLS-AA, are able to recover general trends across wide classes of polymers. We further demonstrate that by performing effective temperature shifting of the difference between experimental and computational glass transition temperature, a satisfactory predictive power can be achieved. We compare how the charges from semi-empirical CM1A method compare to the traditionally used DFT RESP charges and establish that DFT charges are sometimes marginally better. This comes as the first recommendation, that when doing analysis of a single polymer electrolyte system effective temperature matching with DFT charges will achieve the best agreement to experiments. We also show that by increasing the simulation temperature by a constant 50 degrees, a high parity to experimentally measured ionic conductivities can be achieved together with faster convergence of transference number and diffusion coefficients. This temperature is reminiscent of the Vogel temperature in the VTF equation. Our second recommendation is that for high-throughput virtual screening workflows, performing simulations with semi-empirical charges at a constant offset temperature brings sufficient accuracy for polymer screening.