Method for predictive conditioning of at least one primary battery of a motor vehicle that is at least partially electrically powered, as well as motor vehicle

Abstract

The invention relates to a method for predictive conditioning of at least one primary battery (20) of an at least partially electrically powered motor vehicle (10), wherein the method is carried out by means of a machine learning device (62), comprising the steps of: determining a dynamic, location-dependent and / or time-dependent speed profile (54a, 54b, 54c) along a predefined driving route (52), taking into account at least one environmental condition or driver behavior; determining a location-dependent and / or time-dependent power requirement (56a, 56b, 56c) of the motor vehicle (10) required at least for the electric drive (30) based on the determined speed profile (54a, 54b, 54c); determining a battery power (22) of the at least one primary battery (20) required to provide the determined power requirement (56a, 56b, 56c) of the motor vehicle (10);Setting the temperature of at least one primary battery (20) required to provide the necessary battery power (22) by means of a heating device (40) and / or a cooling device (42), if a deviation from this temperature is detected. Furthermore, the invention relates to a system (60) comprising a machine learning device (62) for carrying out the method according to the invention, and to a motor vehicle (10) with such a system (60).

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