Vehicle networking-based closed-loop fast prediction and control method and device for optimal vehicle speed

Abstract

The invention discloses a vehicle networking-based closed-loop fast prediction and control method and a device for an optimal vehicle speed. According to the technical scheme of the invention, a vehicle speed sequence of a target vehicle of an MPC time window is preset based on the calculation of a driving efficiency-contained fuel consumption model and a preset driving efficiency, and the vehicle speed sequence is sent to the corresponding target vehicle. The optimal fuel economy of the target vehicle is controlled based on the vehicle speed sequence, and the average driving efficiency within a preset period of time is calculated based on the vehicle speed sequence. The calculated average driving efficiency is fed back to the driving efficiency-contained fuel consumption model. The fuel consumption model adopts the average driving efficiency within the preset period of time as the preset driving efficiency and then calculates the optimal target vehicle speed of the target vehicle within the next time window. Repeated in the above manner, the calculation for the vehicle speed sequence of the target vehicle within the entire prediction period of time is completed. Based on the embodiments of the invention, the existing open-loop speed prediction control is converted into the closed-loop prediction control based on the periodical efficiency feedback, so that the fuel economy is improved.

Description

technical field [0001] The present invention relates to the field of Internet of Vehicles, in particular to a closed-loop rapid predictive control method and device for optimal vehicle speed based on Internet of Vehicles. Background technique [0002] Today's global automobile production, sales and ownership are growing rapidly. The resulting problems of excessive consumption of oil resources, air pollution, traffic congestion and automobile driving safety are becoming more and more serious. theme. In this context, technologies such as new energy vehicles, Internet of Vehicles, and driverless driving have received extensive attention. [0003] In the Internet of Vehicles environment, real-time communication between vehicles and between vehicles and transportation facilities can be realized, and the speed and position of each vehicle can be obtained in real time, and the model predictive control (MPC) algorithm can be used to predict a period of time in the future The optim...

AI Technical Summary

Problems solved by technology

However, at present, the open-loop hierarchical control method is generally used to obtain the optimal economic vehicle speed, and the efficiency of the MPC solution algorithm is low, and it is difficult to achieve real-time control, which is not conducive to improving fuel economy performance.

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