Modified direct torque control algorithm for regeneration capability of IM driven electric vehicle by using hybrid energy storage system

IF 4.2 Q2 ENERGY & FUELS
Harshita Tiwari , Arnab Ghosh , Chiranjit Sain , Furkan Ahmad , Luluwah Al-Fagih
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引用次数: 0

Abstract

The direct torque control (DTC) algorithm of a 3-phase voltage source inverter (VSI) has been implemented to drive induction motor (IM) for EV applications. However, the conventional DTC for IM is distressed due to large torque ripple, high current total harmonic distortion, and variable switching frequency. So, in this manuscript, a modified direct torque control (MDTC) algorithm is proposed to tackle the said challenges. A three-level hysteresis controller is proposed in modified DTC to optimize the duty ratio of the fundamental voltage vector to minimize the error between the reference and final voltage vector imposed on IM terminals. To improve the efficiency of the EVs by developing a system that uses the energy produced during regenerative braking. The proposed method recovers electric energy produced by the EV without using any additional power converter. The switching patterns allow power flow in both directions. Later, a hybrid energy storage system (HESS) is integrated to supply and store the energy in an optimal way. Extensive studies have been performed to show the efficacy of the proposed MDTC technique in IM based EV application with HESS. The key findings indicate that the proposed MDTC provides better dynamic and steady-state performance.

利用混合储能系统提高 IM 驱动型电动汽车再生能力的改进型直接扭矩控制算法
三相电压源逆变器(VSI)的直接转矩控制(DTC)算法已用于驱动电动汽车应用中的感应电机(IM)。然而,由于转矩纹波大、电流总谐波失真高和开关频率可变,用于感应电机的传统直接转矩控制(DTC)存在问题。因此,本文提出了一种改进的直接转矩控制(MDTC)算法,以应对上述挑战。改进型直接转矩控制中提出了一种三电平滞后控制器,用于优化基波电压矢量的占空比,以最大限度地减小施加在 IM 端子上的参考电压矢量与最终电压矢量之间的误差。通过开发一种利用再生制动过程中产生的能量的系统,提高电动汽车的效率。所提出的方法无需使用任何额外的功率转换器即可回收电动汽车产生的电能。开关模式允许电力双向流动。随后,混合储能系统(HESS)被集成进来,以最佳方式供应和储存能量。为了证明所提出的 MDTC 技术在基于 IM 和 HESS 的电动汽车应用中的有效性,我们进行了广泛的研究。主要研究结果表明,所提出的 MDTC 具有更好的动态和稳态性能。
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来源期刊
Renewable Energy Focus
Renewable Energy Focus Renewable Energy, Sustainability and the Environment
CiteScore
7.10
自引率
8.30%
发文量
0
审稿时长
48 days
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