When designing battery systems, it is important to know the general usage scenario of the battery as well as possible. With this knowledge, the battery design and the Battery Management System (BMS) can be adapted specifically to the planned application to achieve an optimal result in terms of the usage scenario with the longest possible lifetime of the battery. In the area of traction batteries for passenger cars a general usage scenario can be derived based on a driving cycle such as the Worldwide Harmonized Light-Duty Vehicle Test Procedure (WLTP). However, in heavy-duty commercial vehicles, it is much more difficult to describe a usage scenario, as there is no generally applicable driving cycle. The question of the usage scenario must be clarified in discussions with the vehicle integrator. To be able to design a battery system as well as possible at an early stage of development, it would also be desirable to have access to various generalized usage scenarios in the field of heavy-duty commercial vehicles. In this work, we therefore present an evaluation of recorded usage data from traction batteries in heavy-duty commercial vehicles. The data is first generally evaluated regarding various state and measurement variables (SoC ranges, temperature ranges, currents, etc.). Then various recurring features are identified and clustered from which synthetic usage scenarios can be assembled, which can be used in the future at an early stage of development.