A Differential Fuzzy Combination Control Method for Driving Anti-skid of Electric Vehicles

Abstract

The invention discloses a differential fuzzy combination control method for electric automobile driving skid resistance, and the driving skid resistance is realized by combination control of a fuzzy controller based on an optimal tracking differentiator (TD-Fuzzy)and a PID controller. A vehicle-mounted electronic control unit (ECU) based on the control algorithm receives information from various vehicle-mounted sensors; current expected vehicle wheel rotation speed can be calculated through expected slip ratio according to a slip ratio definition formula; after comparing the current expected vehicle wheel rotation speed with actual vehicle wheel rotation speed, and output torque adjustment value of a drive motor of an electric automobile is obtained through the TD-Fuzzy and the PID combination control method, thereby realizing adjustment of motor output torque and rotation speed, reducing slip ratio of the electric automobile in the driving process, realizing driving skid resistance and improving driving stability of the electric automobile. According to the differential fuzzy combination control method, the intelligent controller adjusts the output torque of the motor according to the control algorithm so as to realize electric automobile driving skid resistance.

Description

technical field [0001] The invention belongs to the technical field of electric vehicle control, and in particular relates to a differential fuzzy combination control method for driving anti-slip of an electric vehicle. Background technique [0002] With the depletion of fossil energy such as petroleum and the increasingly serious environmental pollution problems, internal combustion locomotives will obviously not meet the needs of social development in the future, and people are actively looking for and paying attention to its alternatives—electric vehicles. Electric vehicles use electric energy, have zero emissions, and do not cause any pollution to the environment. Foreign scientific research has shown that even if the environmental pollution caused by the power generation process is calculated at the current stage, the environmental pollution caused by electric vehicles will be 40% lower than that of internal combustion locomotives. The biggest advantage of an electric ...

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Problems solved by technology

[0007] However, the above several traditional control methods have affected the effect of driving anti-skid in the process of driving anti-skid control due to their own limitations.

For example, in threshold logic control, the setting of the threshold logic value is not adaptable to a variety of complex road conditions; PID control is mostly used in linear systems, but the electric vehicle with tire model is a strongly nonlinear system, and the PID parameters Not very adaptable to changes in complex road conditions

For the control of nonlinear systems, fuzzy control is a good choice, but fuzzy control often has steady-state errors and tremors in the control process.

The defects of the above several control methods make it difficult for the current traditional electric vehicle drive anti-skid system to achieve a very satisfactory drive anti-skid

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