Abstract: A method of generating a driving schedule for a battery electric mining vehicle, is described. The method generally includes obtaining a current state of charge of the vehicle, and obtaining a target path of the vehicle. The target path includes a charging section provided in a section of the target path. The charging section has a charging infrastructure for providing a charging power to the vehicle. The target path further includes a road section suitable for regenerating electrical energy with the vehicle. Based on target path data and the current state of charge of the vehicle, a driving schedule is generated including instructions to control a movement of the vehicle along the target path. Generating the driving schedule includes optimizing the driving schedule according to penalties. The penalties include a penalty term indicative of an amount of energy wasted when the vehicle travels along the road section.

Abstract: A method of controlling a mining vehicle is disclosed. The vehicle is one of a plurality of mining vehicles. At least two of the plurality of mining vehicles are electrically connectable to a power delivery infrastructure. Each of the plurality of vehicles has a power status while traveling along a target path, the power status including a power demand or a power surplus. The method includes determining fleet status data, the fleet status data including a position and optionally target path data of each of the plurality of vehicles. The method includes, based on input data including the fleet status data, generating a driving schedule including instructions to control a movement of the vehicle along the target path. Generating the driving schedule includes optimizing the driving schedule according to penalties, the penalties including a penalty term indicative of a power surplus of the plurality of vehicles.