Abstract Electric vehicle (EV) market penetration is expected to increase in the next few years. Transport electrification will affect both the road transport and the electric power network, as EV charging will be influenced by events that take place on the road network (such as congestion, weather, etc.) which subsequently have an impact on the potential load imposed on an electricity grid (based on where EV charging takes place). An EV is therefore seen as a link between transport and energy systems, and their interdependencies are important. In this chapter an EV is modeled as an autonomous agent with a set of predefined high-level goals (such as traveling from origin to destination). Algorithms for the routing and charging procedures of EVs are presented. A multi-agent simulation is carried out, based on a number of scenarios, which demonstrates interactions between transport and energy systems, showing how an EV agent is able to adapt its behavior based on changes within each of these systems.


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