A
system (10) for managing a fleet (12) of electric vehicles (14) and the respective fleet drivers (18), wherein the
system (10) comprises: an
instruction unit (16) comprising a processor (P) and a tangible, non-transferable memory (M) in which instructions are recorded, wherein the
instruction unit (16) is capable of: Receiving input variables, including the respective fleet tasks and a priority status of the respective fleet tasks; Obtaining
route data for the respective fleet tasks; Obtained from an objective function defined by a multitude of influencing factors with corresponding weights; and Obtaining optimal charging plans for the electric vehicles (14) and assigning the respective fleet tasks to the electric vehicles (14) and the respective fleet drivers (18), among other things based on the objective function, the input variables and the
route data, wherein the input variables include the energy requirements of the respective fleet tasks without propulsion, including the energy to operate one or more
electrical devices to perform the respective fleet tasks, the
system comprises an allocation matching module (208), an output module (210), an allocation evaluation module (230), a load allocation module (240) and a fleet task module (250), wherein the command unit (16) is trained to take into account the availability of excess
battery energy of the electric vehicles (14) when selecting the appropriate
electric vehicle (14) and driver (18) for a task, in order to meet the non-propulsion energy requirements of the fleet tasks, where the target function is stored in the target module (204) and entered into the assignment matching module (208), the assignment matching module (208) takes into account the task requirements, the drivers' abilities with regard to
energy consumption, and the vehicle characteristics, wherein the output module (210) receives the results of the optimal coordination between the electric vehicles (14), the drivers (18) and the tasks, as well as the charging plan based on the coordination results, wherein the assignment evaluation module (230) determines the optimal selection of driver (18) and
electric vehicle (14), wherein the charge assignment module (240) determines the charging plans of the electric vehicles (14) in a charging infrastructure (20), wherein the fleet task module (250) stores the details of which drivers (18) and electric vehicles (14) have been assigned to the tasks and their respective charging plans, wherein the charge allocation module 240 is designed to assign the electric vehicles (14) to a charging process as required, wherein an
electric vehicle (14) is automatically sent to a charging process if it is not selected for a task.