CPC B61L 27/16 (2022.01) [G06N 3/08 (2013.01); G06N 20/00 (2019.01); B61L 2205/04 (2013.01)] | 15 Claims |
1. A method of an energy-optimized operation of a fleet of rail vehicles, the fleet of rail vehicles including n rail vehicles, the method which comprises:
providing each of the n rail vehicles with a state influencing system for vehicle state influencing which can generate or consume electrical energy, and a computer unit trained by machine learning;
with i being a natural number from 1 to n, and n being a natural number greater than 1, for all i from 1 to n during an operation of the rail vehicle fleet:
while taking into account at least one target criterion for the rail vehicle and depending on state parameters selected from the group consisting of vehicle-related, location-related, and route-related state parameters, selecting with the computer unit of an i-th rail vehicle of the n rail vehicles an action to be applied to the state influencing system of the i-th rail vehicle, which contributes to optimizing a total electrical energy balance of the state influencing systems of the rail vehicle fleet when applied to the state influencing system of the i-th rail vehicle; and
applying the selected action to the state influencing system of the i-th rail vehicle; and
wherein the state parameters, in dependence on which the action is selected by the computer unit of the i-th rail vehicle, include a current contact line voltage at a location of the i-th rail vehicle or one or more statistical contact line voltage values at the location of the i-th rail vehicle.
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