A Modified DTC with Capability of Regenerative Braking Energy in BLDC driven Electric Vehicles Using Adaptive Control Theory

TL;DR

This paper introduces a novel regenerative braking method for BLDC-driven electric vehicles that enhances energy recovery without additional hardware by modifying the DTC switching algorithm and employing adaptive control.

Contribution

It proposes a modified DTC switching algorithm combined with an adaptive control system to improve regenerative braking efficiency in EVs without extra energy storage devices.

Findings

Effective energy recovery during regenerative braking

Improved battery charge management

Validated through multiple simulations

Abstract

This paper represents a novel regenerative braking approach for the Electric Vehicles. The proposed method solves the short-range problem which is corresponding to the charge of the battery pack. The DTC switching algorithm has been modified to recover the electrical energy from Electrical Vehicle (EV), driven by Brushless DC motor, without using the additional power converter or the other electrical energy storage devices. During regenerative braking process, different switching pattern is applied to the inverter to convert the mechanical energy to the electrical energy through the reverse diodes. This switching pattern is different from the normal operation due to the special arrangement of voltage vectors which is considered to convert the mechanical energy to electrical energy. The state of charge of the battery is used as a performance indicator of the method. Simultaneously, a model reference adaptive system has been designed to tune the system parameters. Several simulations are carried out to validate the performance and effectiveness of the proposed methods. The results show the high capability and performance of the designed method.