Electric vehicle fuzzy sliding mode feedback charging controller and its feedback charging control method

Abstract

The invention discloses a fuzzy sliding mode feedback charging controller for an electric vehicle and a feedback charging control method thereof. The electric vehicle fuzzy sliding mode feedback charging controller of the present invention comprises a battery charging controller, and the output end of the battery charging controller is connected to a drive / isolation circuit, a feedback braking charging system, and a sensing acquisition circuit in sequence, and the sensing acquisition circuit is finally connected to the Battery charge controller. The feedback charging control method of the present invention includes the stage of establishing the system model during the DC / DC converter feedback charging, the stage of establishing the T-S fuzzy model of the DC / DC converter under the feedback charging, the stage of calculating the predicted value of the duty cycle of the converter, and the fuzzy stage. The comprehensive design stage of the sliding mode charge controller. The control method of the invention has strong robustness, can recover more braking energy, and can effectively increase the cruising range of the electric vehicle; the controller of the invention has simple structure, low cost and high reliability.

Description

technical field [0001] The invention belongs to the technical field of electric vehicle charging control, and in particular relates to a T-S fuzzy variable structure feedback charging control method of a bidirectional DC / DC converter for an electric vehicle and a fuzzy sliding mode controller. Background technique [0002] Pure electric vehicles are a zero-emission, zero-pollution green vehicle, and are increasingly popular with consumers under the support of the national new energy vehicle support policy. However, the insufficient cruising range caused by insufficient battery capacity and inconvenient charging methods seriously restricts the development of pure electric vehicles. Under the circumstances that the bottleneck of battery technology is difficult to make a substantial breakthrough, regenerative charging based on energy regeneration has been widely studied as a technology to effectively extend the mileage of pure electric vehicles. [0003] From a technical point...

AI Technical Summary

Problems solved by technology

However, it is difficult to obtain high control performance only by relying on traditional control means

This is because: on the one hand, the charging system including the motor, converter, battery and car body has complex electromechanical coupling dynamics characteristics. When the electric vehicle is running, the motor parameters, driving conditions, load size, driving mode and battery voltage and other factors are changing, it is difficult to establish its precise mathematical model

On the other hand, most of the charging control is based on the small signal analysis method, that is, linearization processing is performed at a certain stable operating point, which is difficult to meet the linearization requirements of the system in a wide range of vehicle speeds and global working environments.

At the same time, under the complex driving conditions of electric vehicles, due to temperature rise, vehicle parameter uncertainty, uncertain input voltage, output load changes and equivalent load resistance changes during battery charging, the performance of traditional controllers is degraded. The system lacks robustness

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