Abstract
For high-power electric vehicles (EVs), the drive propulsion based on induction motors is emerging as economical alternative. Compared to conventional induction motors, the open-end winding induction motor (OEWIM) requires only half the dc-bus voltage for the given torque. The EV power train based on the dual two-level voltage-source inverter (VSI)-fed OEWIM with isolated dc sources is used in this research. For uniform state-of-charge (SoC) distribution, the power flow from each isolated source needs to be controlled. A two-stage model-predictive direct torque control (MPDTC) scheme is proposed to balance the SoC of batteries by proper selection of the VSI voltage vectors. The proposed MPDTC scheme is free from weighting factor tuning and uses a ranking method to predict the optimal voltage vectors. The superiority of the proposed controller in terms of battery SoC balancing is demonstrated. The performance of the proposed MPDTC EV drive is verified for the FTP75 and HFET driving cycles under different operating conditions, both by simulation and hardware experimental tests.
Highlights
E LECTRIC transportation is needed for a sustainable future as it gives better control and management of pollution
The weaker battery pack may get loaded more and discharged faster, creating load imbalance and performance degradation. Both battery packs require proportional power sharing and even discharging at the same voltage level to achieve excellent driving performance. This paper addresses these issues and improves the performance of the drive given in [16]
2) An improved model predictive direct torque control (MPDTC) algorithm is proposed for the open-end winding induction motor (OEWIM) based differential 4WD (D4WD) electric vehicles (EVs), where the torque and flux control objectives are integrated with the battery SoC balancing
Summary
E LECTRIC transportation is needed for a sustainable future as it gives better control and management of pollution. The battery state-ofcharge (SoC) balance is achieved by optimizing the proposed MPDTC objective function with a proper study of the active power sharing control scheme for the dual OEWIM powered D4WD EV. This is a substantial improvement over [16] with improved drive performance. 1) Seamless torque and speed distribution between FM and RM drives are achieved by analysing active power sharing between the VSI and BPs. 2) An improved MPDTC algorithm is proposed for the OEWIM based D4WD EV, where the torque and flux control objectives are integrated with the battery SoC balancing.
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