Python-based pure electric vehicle torque distribution coefficient analysis method and system

Abstract

The invention discloses a Python-based pure electric vehicle torque distribution coefficient analysis method and system, and relates to the field of electric vehicles, and the method comprises the steps: reading external characteristic data of a front motor and external characteristic data of a rear motor through a Python third-party library openpyxl module, and generating each vehicle working condition point according to a preset sampling rule; obtaining the motor efficiency before sampling points and the motor efficiency after sampling points; through a Python third-party library numpy module, a math module, a scipy module and a panda module, according to the motor efficiency before the sampling points and the motor efficiency after the sampling points, obtaining the motor efficiency before a non-sampling point and the motor efficiency after the non-sampling point in each vehicle working condition point through interpolation; and analyzing the optimal torque distribution coefficientof each vehicle working condition point according to the front motor efficiency and the rear motor efficiency. Torque distribution is conducted on the front motor and the rear motor, the vehicle powersystem efficiency is kept optimal all the time when the vehicle power requirement is met, vehicle energy consumption is reduced, and the vehicle driving range is increased.

Description

technical field [0001] The present invention relates to the field, in particular to a Python-based pure electric vehicle torque distribution coefficient analysis method and system. Background technique [0002] At present, in the new energy vehicle market, pure electric vehicles are mostly driven by two-wheel drive, and four-wheel drive vehicles account for a small proportion. Compared with two-wheel drive, four-wheel drive can maximize the use of all vehicle adhesion and can significantly improve vehicle power. However, compared with two-wheel drive vehicles, four-wheel drive vehicles have an additional set of power systems, so four-wheel drive vehicles are obviously heavier than two-wheel drive vehicles. While heavy weight increases vehicle adhesion, it also increases vehicle resistance, which will increase accordingly. Vehicle energy consumption. Vehicle energy consumption is mainly composed of overcoming vehicle resistance loss and vehicle power system loss. Reducing ve...

AI Technical Summary

Problems solved by technology

At present, the distribution of motor torque between the front and rear motors of the four-wheel drive of pure electric vehicles is distributed according to a fixed ratio, which is not combined with real-time working conditions, so the optimal system cannot be achieved.

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