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Hybrid Electric Vehicle with Matrix Converter and Direct Torque Control in Powertrains Asynchronous Motor Drives

Authors :
Deaconu Sorin Ioan
Topor Marcel
Popa Gabriel Nicolae
Bu Feifei
Source :
MATEC Web of Conferences, Vol 292, p 01066 (2019)
Publication Year :
2019
Publisher :
EDP Sciences, 2019.

Abstract

Electric transportation has made rapid developments and significant steps toward the full electrical powertrain systems. With the increased use of electric vehicles energy conversion systems several technologies have been developed and reached a high degree of performance. Since electric vehicles and hybrid are the more cost competitive technology available today, the evolution toward a more reliable powertrain combining different electric powertrain systems is needed. Induction machine and permanent magnet generators/motors integrated powertrains have some significant advantages over other types of systems such as no need of excitation, low volume and weight, high precision, and no use of a complex gearbox for torque/speed conversion. A electric vehicle powertrain for EV propulsion with a induction motor and a matrix converter is proposed in this paper. The induction motor is controlled using the direct torque flux algorithm. The traditional power conversion stages consist of a rectifier followed by an inverter and bulky DC link capacitor. It involves 2 stages of power conversion and, subsequently, the efficiency of the overall EV is reduced because of power quality issues mainly based on total harmonic distortion. The proposed solution incorporates a matrix converter is mainly utilized to control the induction electric motor for propulsion. The matrix converter is a simple and compact direct AC-AC converter. The proposed EV with matrix converter is modeled using PSIM.

Details

Language :
English, French
ISSN :
2261236X
Volume :
292
Database :
Directory of Open Access Journals
Journal :
MATEC Web of Conferences
Publication Type :
Academic Journal
Accession number :
edsdoj.b286be4d12d14f4281a0e5086573c480
Document Type :
article
Full Text :
https://doi.org/10.1051/matecconf/201929201066