Power demand matching and optimizing method during driving of battery electric vehicle at constant speed

Abstract

The invention discloses a power demand matching and optimizing method during driving of a battery electric vehicle at a constant speed. The power demand matching and optimizing method includes: judging a driving speed range through the current driving speed to acquire a motor speed range; then finding system efficiency maximum values within the range of the driving speed; controlling motor output torques, and keeping the vehicle at the economic speed in the range according to the driving speed range during driving; optimizing control strategies, realizing the most economical control mode and meeting economy requirements of the vehicle. A controller is established to control the motor output torques, so that the vehicles can be kept at the economical speed in the range during driving, and the most economical control mode can be realized. The vehicle controller controls the motor output torque on the basis of demands for basic torques and optimized torques, and both power performance and economical efficiency can be realized during driving of the battery electric vehicle at a constant speed.

Description

Technical field [0001] The invention relates to the technical field of pure electric vehicle drive system control, in particular to a method for formulating a pure electric vehicle driving control strategy at a constant speed. Background technique [0002] The algorithm that realizes the control of the whole vehicle power system is called the drive control strategy, which is the core content of the pure electric vehicle control system. Since the electric drive control system of a pure electric vehicle includes motors, power converters, power batteries, batteries, clutches, transmissions, etc., it is a nonlinear dynamic system that integrates electrical, electronic, chemical, and mechanical systems. How to make these components coordinated and effective Local work is a problem worthy of attention. In addition, different drivers have different driving habits and styles, and thus have different demands on the vehicle. These all add difficulty to the judgment of driving intention an...

AI Technical Summary

Problems solved by technology

[0005] The disadvantage of the above method is that it does not consider the condition of constant speed driving separately, because the change rate of the accelerator pedal opening is very small when driving at a constant speed, the control strategy formulated by the above method will have certain errors; in addition, only the single influencing factor of vehicle speed is considered, Although it can meet the power requirements of the vehicle, it ignores the working state of the motor and battery during the driving process of the vehicle, and fails to realize the optimization of the economic performance of the pure electric vehicle when driving at a constant speed.

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