The autopilot on an Unmanned Aerial Vehicle (UAV) should be a safety-critical system. Various risk mitigation approaches and behavioural testing are requested to support autopilot safety. We attempted to analyse a method for setting the data that affect the autopilot of a UAV. In this paper, we narrow down our efforts to battery-related data because battery problems can be responsible for most failures. This paper analyses the battery-related parameter settings using a real drone model manufactured by 3D robotics. The present analysis can be used in the design of test cases for the black box testing of the battery parts of the autopilot firmware used in a drone vehicle.
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