Torque filtering method and system for electric automobile and electric automobile

Abstract

The invention provides a torque filtering method and system for an electric automobile and the electric automobile. The method includes acquiring a torque gradient filtering limit value correspondingto the current driving mode of the automobile; performing gradient limit filtering processing on the total demand torque of the automobile at the current time according to the torque gradient filtering limit value to obtain a first torque; and preforming the first order inertia filtering process on the first torque to obtain the filtered total demand torque. According to the method, correspondingfilter limits and filter factors can be obtained based on different driving modes to process the required torque of the automobile, so that the driving performance and the comfort of the whole automobile are improved.

Description

technical field [0001] The invention relates to the technical field of automobiles, in particular to a torque filtering method and system for an electric vehicle and the electric vehicle. Background technique [0002] Normally, the power source in a pure electric vehicle is the drive motor and battery system, and the vehicle controller is the core of vehicle torque control, which is calculated by collecting signals such as motor speed and vehicle information (gear position, vehicle speed, accelerator pedal) and so on. The required torque of the vehicle is then subjected to torque filtering and smooth arbitration processing to obtain the final torque value, which is sent to the motor controller to drive the motor to realize the driving of the vehicle. Among them, torque filter control is particularly important. [0003] The current torque filtering method mainly includes: first, considering the total demand torque of the vehicle, and combining the torque change rate to obtai...

AI Technical Summary

Problems solved by technology

Among them, the first filtering method is aimed at the motor, considering the total demand torque and the change rate limit of the torque, but does not consider the special working conditions, which has a certain impact on the comfort of the vehicle; the second filtering method is more effective than the first one. Great optimization, but failed to fully consider the driver's individual choice, so there is still a certain lack in the driving performance of the vehicle

[0004] In general, the current torque filtering control method is mainly aimed at the characteristics of the torque itself, that is, considering the motor torque limit, torque change rate limit, zero torque, etc., but the filter factor fails to consider the driving mode of the vehicle, so the vehicle It has a certain impact on the driving performance of the car, thus affecting the comfort of the vehicle

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