State of health status of li-ion batteries in unmanned aerial vehicle

The state of health (SoH) of unmanned aerial vehicles (UAVs) during the time they spend in the air is important for users in order for the mission to continue in a healthy way. SoH information of Li-ion batteries is very important in order not to interrupt the operation and not to create a security weakness in the air when unmanned aerial vehicles are used. It is aimed to control these parameters, which are important in the thesis study, and to make predictions about the SoH. For this reason, within the scope of this thesis, voltage, current, altitude and time parameters of the sampling flight of the UAV will be taken and this data will be analyzed. In line with the data obtained from these analyzes, battery tests will be carried out in the laboratory and these test results will be used in the estimation of SoH by machine learning method.