Intelligent energy management method for dual-motor electric vehicle based on road condition prediction

Abstract

The invention discloses an intelligent energy management method for a dual-motor electric vehicle based on road condition prediction. The intelligent energy management method comprises an information acquisition module, a driving mode decision module, a speed optimization module and a torque distribution module, the information acquisition module acquires surrounding environment and vehicle state information in real time and provides data support for the driving mode decision module; the driving mode decision-making module is used for making a decision on a driving mode by utilizing the collected traffic flow dynamic information; the speed optimization module performs vehicle speed planning by considering scene constraints, a dynamics / energy consumption model and future front traffic flow prediction information aiming at different modes, so that the targets of low energy consumption, good drivability, short commuting time and good vehicle tracking performance are met; and the torque distribution module looks up a table to obtain a torque distribution coefficient of the optimal efficiency of the double motors according to the current environment of the vehicle and the state of the vehicle, and distributes required power to the front motor and the rear motor, so that the vehicle power requirement and the minimum energy consumption are met.

Description

technical field [0001] The invention belongs to the technical field of energy-saving control of electric vehicles, and in particular relates to an intelligent energy management method for dual-motor electric vehicles based on road condition prediction. Background technique [0002] Energy saving and emission reduction are the eternal theme of automobiles. With the rapid development of control, sensing, communication and actuator technologies, the electrification and intelligence of automobiles provide unprecedented opportunities for promoting low-carbon and clean automobiles. The new energy vehicle industry development plan (2021-2035) clearly states that "to promote the industrial integration of new energy vehicles, intelligent transportation, and autonomous vehicles". In the current Intelligent Traffic System (Intelligent Traffic System, ITS) and Internet of Vehicles environment, vehicles can fully perceive and understand complex traffic environments, road geographic infor...

AI Technical Summary

Problems solved by technology

However, the single-motor drive system has the following problems: if a single motor with a small power is selected, it is generally difficult to meet the performance requirements of the vehicle working range; When it is small, it will always work in the low-efficiency area of ​​the motor

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