Open AccessZ-Source Inverter for Energy Management and Vector Control for Electric Vehicle Based PMSM
Author(s) -
Sarah Bouradi,
Karim Negadi,
Rabah Araria,
Fabrizio Marignetti
Publication year - 2020
Publication title -
journal européen des systèmes automatisés/journal européen des systèmes automaitsés
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.16
H-Index - 20
eISSN - 2116-7087
pISSN - 1269-6935
DOI - 10.18280/jesa.530614
Subject(s) - converters , electric vehicle , vector control , inverter , voltage source , power electronics , robustness (evolution) , computer science , automotive engineering , emi , energy management , traction motor , engineering , voltage , electrical engineering , power (physics) , electromagnetic interference , energy (signal processing) , induction motor , biochemistry , physics , chemistry , statistics , mathematics , quantum mechanics , gene
Electric vehicles have gained considerable attention recently due to the ever increasing demand for a viable alternative to the current fossil fuel-dependent modes of transportation. These automobiles are reliant on power electronics to generate the energy required for the motor. Traditional converters, namely the V-source (VS) and C-source (CS), are vulnerable to EMI noise, their main circuits cannot be interchangeable and they are either a boost or a buck converter. Therefore, their output voltage is strictly higher or lower than the input voltage. In an effort to negate these drawbacks, new inverters such as the Z-source were conceptualized. This work aims to study the applicability of the Z-source in the traction chain of an electric vehicle in order to feed a permanent magnet synchronous motor (PMSM). The latter is controlled with field oriented vector control reinforced with a backstepping technique in an attempt to ensure tracking ability and robustness. Energy management is also supported in this article in an effort to optimize the performance of the electric vehicle under different operating conditions. The simulation results show the effectiveness of the proposed system in enhancing the energy management of the vehicle, in addition to its simplicity which can facilitate an eventual implementation using a DSP or a Dspace platform.