The low ionic conductivity of polymer electrolytes requires long simulation timescales (>100 ns) for ions to reach their diffusive transport modes. Polymer chain dynamics define ionic transport. Experimentally, ionic conductivity is measured in a polymer melt, and can be described computationally by the reptation model. For the reptation model to hold, polymer chain length needs to be larger than a critical threshold, which for PEO is more than 110 repeat units. Above this limit, polymer diffusivity is strongly affected by entanglement and the transport of Li and TFSI becomes independent of polymer chain length. The choice (and availability) of an interatomic potential has a strong impact on the accuracy and computational cost of classical molecular dynamics simulations. In order of accuracy and cost, polarizable force fields offer the highest accuracy, while still being able to access the lower bound of these simulation length scales. The downside is that these forcefields are hard to fit and become prohibitively expensive for longer simulations so they are not applicable in a high-throughput discovery setting. Class 2 force fields such as COMPASS or PCFF+ offer good agreement with experiments, but they are again hard to fit and existing parametrizations are incomplete and paywalled. Finally, Class 1 force fields, such as OPLS-AA, provide lower agreement with experimentally measured polymer properties, but offer freely available parameters for a wide variety of chemistries. Class 1 force fields also offer the highest computational speed due to their simpler functional form and are thus the most promising in terms of throughput.