As every day passes, modelling and simulation tools gain importance and become relevance when it comes to the design and development stages. A prime example can be seen in the automotive industry, where such practices have become almost mandatory. Early design stages focus of energy-modelling, where many component dynamics are ignored and the models only compute the energy flow through the models. This allows for quick simulations and changing of component parameters, but as the design process progresses, a need for more detailed models arises. This project will focus on modelling and simulations of subsystems that are unique electric vehicles, such as the battery, motors or inverters. The modelled systems are simplified, but retain fundamental parameters such as operating principles, efficiencies and hardware limitations. Electrical models predict the battery voltage and state of charge. Physical models produce vehicle speed and tire slip estimates and give feedback to the system. Drive cycle inputs give the needed simulation parameters such as speed, incline and steering inputs to the model. The di↵erent model blocks are simulated as a unit using simulink, and results are analysed. Di↵erent parameters such as vehicle speed, energy consumption, battery SOC or wheel slip are logged a analysed and compared with real life examples. Di↵erent energy losses are located and plotted, and their causes explained. A dynamic wheel speed and slip control loop is developed and its performance studied. Finally, a study was carried where model fidelity was systematically and objectively evaluated, and improvements are proposed.