TY - JOUR
T1 - Predictive Current Control of Six-Phase IM-Based Nonisolated Integrated On-Board Battery Charger Under Different Winding Configurations
AU - Habib, Abdelrahman
AU - Shawier, Abdullah
AU - Abdel-Majeed, Mahmoud Said
AU - Abdel-Khalik, Ayman Samy
AU - Hamad, Mostafa S.
AU - Hamdy, Ragi A.
AU - Ahmed, Shehab
N1 - Publisher Copyright:
© 1986-2012 IEEE.
PY - 2022/7/1
Y1 - 2022/7/1
N2 - Integrated on-board battery charging (IOBC) constitutes one of the future trends and the potential state-of-the-art technologies proposed for high-power chargers of electric vehicles. Model predictive control has recently been favored in different applications due to its simplicity in defining new control objectives and the straightforward handling of nonlinear constraints. In this article, the predictive current control (PCC) is applied to a six-phase induction-machine-based IOBC with three different winding configurations. From the grid perspective, this article introduces the required winding connections that maximize the charging grid current. Under PCC, different stator phases are controlled to draw balanced three-phase grid currents through controlling the machine nontorque-producing xy current components while ensuring zero average/ripple torque production. This article also discusses the effect of winding configuration on the mapping of the 64 available voltage vectors to the αβ, xy, and 0+ 0- subspaces. The optimal subset voltage vectors of each configuration that achieve the highest possible dc-link utilization, zero torque production, minimum total harmonic distortion (THD), and unity power factor are then introduced. The feasibility to employ the concept of virtual voltage vectors to improve the current quality is also investigated. The three six-phase configurations are obtained from an externally reconfigured 1 kW 12-phase induction motor, which has been used to experimentally validate the theoretical findings.
AB - Integrated on-board battery charging (IOBC) constitutes one of the future trends and the potential state-of-the-art technologies proposed for high-power chargers of electric vehicles. Model predictive control has recently been favored in different applications due to its simplicity in defining new control objectives and the straightforward handling of nonlinear constraints. In this article, the predictive current control (PCC) is applied to a six-phase induction-machine-based IOBC with three different winding configurations. From the grid perspective, this article introduces the required winding connections that maximize the charging grid current. Under PCC, different stator phases are controlled to draw balanced three-phase grid currents through controlling the machine nontorque-producing xy current components while ensuring zero average/ripple torque production. This article also discusses the effect of winding configuration on the mapping of the 64 available voltage vectors to the αβ, xy, and 0+ 0- subspaces. The optimal subset voltage vectors of each configuration that achieve the highest possible dc-link utilization, zero torque production, minimum total harmonic distortion (THD), and unity power factor are then introduced. The feasibility to employ the concept of virtual voltage vectors to improve the current quality is also investigated. The three six-phase configurations are obtained from an externally reconfigured 1 kW 12-phase induction motor, which has been used to experimentally validate the theoretical findings.
KW - Asymmetrical six-phase (A6P)
KW - Dual three-phase (D3P)
KW - Integrated on-board battery chargers
KW - Predictive current control (PCC)
KW - Six-phase
KW - Symmetrical six-phase (S6P)
KW - Virtual vectors
UR - http://www.scopus.com/inward/record.url?scp=85124763944&partnerID=8YFLogxK
U2 - 10.1109/TPEL.2022.3149620
DO - 10.1109/TPEL.2022.3149620
M3 - Article
AN - SCOPUS:85124763944
SN - 0885-8993
VL - 37
SP - 8345
EP - 8358
JO - IEEE Transactions on Power Electronics
JF - IEEE Transactions on Power Electronics
IS - 7
ER -