Electric truck dynamic scheduling system based on multi-modal data fusion, computer readable storage medium and computer program product

Abstract

The invention provides an electric truck dynamic scheduling system based on multi-modal data fusion, a computer readable storage medium and a computer program product, and solves the problem that an existing system cannot deeply fuse key data such as energy consumption prediction and battery state of an electric truck with route planning; the technical problems that an optimal driving scheme considering energy efficiency and timeliness cannot be provided for a user, and efficient and intelligent operation requirements of the electric truck are difficult to meet are solved, and the method can be widely applied to the field of electric truck control systems. The system specifically comprises a data input module used for receiving data information of a transportation task; the data acquisition module is used for acquiring data of the electric truck and road condition data; the route generation module is used for generating an effective route set according to the data of the transportation task; the cost evaluation module is used for carrying out cost evaluation on the effective route set and generating an optimal route scheme; and the electric quantity monitoring module is used for collecting the current electric quantity of the electric truck and giving a charging decision according to the current electric quantity.

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