The current state of global warming requires immediate measures to reduce greenhouse gases and resource efficient vehicles act as a part of the solution. Rolling resistance of truck tyres is one of the main contributors to the environmental impact of road freight transport. To achieve adequate range for future battery electric trucks, parameters influencing rolling resistance and other tyre properties need to be researched carefully. Tyre manufacturers are able to affect rolling resistance by optimising tyre design, rubber compounds, and by balancing between conflicting properties such as rolling resistance, wear, particulate emissions and grip. Vehicle manufacturers on the other hand can focus on enhancing the optimal usage of the tyre with simulations and testing. The aim of the present work is to develop an FE truck tyre and road modelling framework to be able to quantify and optimise the energy consumption due to rolling resistance and its potential trade-offs with e.g. damaging vehicle forces and road damage. To build an accurate FE truck tyre model, different measurements has been performed to characterise material properties and the tyre structure. Furthermore, a suitable constitutive model is chosen which takes into account amplitude and frequency dependent stiffness and dissipation characteristics. To model the tyre rubber, a parallel rheological framework is used to simulate amplitude and frequency dependency of storage and loss modulus. Currently, there are no simple parametrisation methods and the usage of more advanced constitutive models have a trade-off between tuneable parameters and accuracy. Therefore a simple and robust parametrisation technique for filled rubber with clear and understandable tuneable parameters that can be used in FE tyre simulations is under development. The objective of the tyre model is to enable trade-off evaluations between different properties such as energy consumption and wear of truck components.