Electric automobile intelligent control method for improving economy of whole automobile

Abstract

The invention provides an electric automobile intelligent control method for improving economy of a whole automobile. A slope climbing automobile speed control module (A), a load monitoring module (B)and an intelligent control module (C) are comprised. The slope climbing automobile speed control module (A) can adjust the highest automobile speed of the whole automobile in the slope climbing process in a self-adaptive mode, and the economy of the whole automobile is optimized. The load monitoring module (B) cooperates with a data network of a remote monitoring platform, so that the fleet management is facilitated, the direction of goods can be tracked in real time, and the occurrence of unsafe accidents caused by overload by a driver can be avoided. The intelligent control module (C) adjusts the actual torque output of an electric driving system in a self-adaptive mode through load data uploaded in real time, and the economy of the whole automobile is further optimized. Secondly, the peak discharge current of a lithium battery can also be greatly reduced through the control strategy, so that the discharging current of the lithium battery tends to be smooth, the service life of thelithium battery can be effectively prolonged, and the capacity attenuation of the lithium battery can be effectively reduced.

Description

technical field [0001] The invention relates to the technical field of electric vehicles, in particular to an intelligent control method for electric vehicles that improves the economy of the entire vehicle. Background technique [0002] With the development of society, energy crisis and environmental pollution have become more and more important factors restricting economic development. As an effective direction to solve such problems, new energy vehicles have been highly valued by governments and the automobile industry. Compared with traditional vehicles, due to the low energy density of batteries, the driving range of new energy vehicles is generally not high, so the energy saving of electric vehicles has become the focus of research. [0003] In the torque control of the drive motor, the new energy vehicle directly selects the calibrated full-power external characteristic curve of the motor, resulting in an imbalance between the power and economy of the vehicle, which i...

AI Technical Summary

Problems solved by technology

[0005] The present invention is to solve the problem of the economy of the battery life of the whole vehicle. The data transmitted to the vehicle controller through the inclinometer, the load measuring device, etc., analyze the data of the slope, state and vehicle load of the vehicle, and then start the climbing speed control. Module (A), load monitoring module (B) and intelligent control module (C), the climbing speed control module (A) can adaptively adjust the maximum speed of the vehicle when climbing, and optimize the vehicle economy; the load monitoring module (B) With the data network of the remote monitoring platform, it is convenient for the fleet management to track the whereabouts of the goods in real time, and it can also prevent unsafe accidents caused by drivers due to overloading; the intelligent control module (C) automatically uploads the load data through real-time Adaptively adjust the actual torque output of the electric drive system to further optimize the vehicle economy; secondly, through this control strategy, the peak discharge current of the lithium battery can be greatly reduced, so that the discharge current of the lithium battery tends to be smooth, and it can also effectively Prolonging the service life and capacity fading of lithium batteries

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