The dataset constitutes of simulated data on the energy consumption of electric vehicles on long-haul routes across Europe. 10 different types of vehicles have been created representing both cargo vehicles (vans, delivery trucks, tractors with trailers) and passenger vehicles (minibuses, coaches and double-decker buses). More than 1000 origin-destination pairs were selected representing typical routes operated by long-haul trucks. Each route was simulated with each vehicle at least once, the total simulated length is more than 132 million kilometers. The results are recorded with an interval of maximum 4.5 h, so that each interval is represented by one row. In addition, the recorded values representing the whole route are included. E.g. if a route takes 10 h to complete, the results include 3 rows representing parts of the route (4.5 h, 4.5h, 1h) and one row representing the whole 10 h. Routes are characterized by the elevation difference from the beginning to the end, the cumulative elevation gain along the route, the average slope, and the distance driven. The speed is formed during the simulation based on speed limits and vehicle characteristics. The resulting average speed and maximum speed recording is included in the data. The payload and ambient conditions were randomly selected for each simulation run. The payload distribution was uniform, and each vehicle had a maximum payload limit. The temperature was selected from a normal distribution with an average value of 11 degrees Celsius and a standard deviation of 10 degrees. In addition, there is a parameter called "avoid excessive regeneration" which is either False or True. This parameter controls the regenerative braking in downhills, when set to True, 10% overspeeding is allowed before regenerative braking is activated.