TY - GEN
T1 - Predictive Battery SoC Control for Dual Propulsion Differential Four Wheel Drive Electric Vehicle
AU - Muduli, Utkal Ranjan
AU - Jaafari, Khaled Al
AU - Behera, Ranjan Kumar
AU - Beig, Abdul R.
AU - Hosani, Khalifa Al
AU - Alsawalhi, Jamal Y.
N1 - Funding Information:
ACKNOWLEDGEMENT This work was supported by Khalifa University Advanced Power and Energy Center Award No. RC2-2018/21-06, Abu Dhabi, UAE and partly supported by Khalifa University Award No. KKJRC-2019-Trans2, Abu Dhabi, UAE.
Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - For economic reasons, the conventional induction motor is considered as a promising alternative of the PMSMs to be used in the electric vehicle (EV) applications in high-power range. To meet up the same torque demand, the DC bus requirement in OEWIM is half than the conventional induction motor based on star-delta stator winding configuration. Owing to these reasons, the dual OEWIM based drive is considered in this paper, where two separate dc sources are required. To keep the SoC of two battery sources at equal level, the two dc sources are required to be loaded proportionately. To satisfy this SoC balance requirement, an improved two-stage model predictive DTC (MPDTC) scheme is proposed in this paper. This MPDTC scheme chooses optimal voltage vectors based on a ranking method to be applied to the VSIs for maintaining SoC balance of two battery packs. The weighting factors for different variables need not be tuned in the proposed control scheme. The effectiveness of the proposed MPDTC scheme is verified through simulation and experiment both. The proposed control scheme can distribute the power between two battery packs proportionate to their SoC. The EV is tested for FTP-75 and HFET both the driving cycles under the proposed MPDTC scheme. Where various operating conditions such as acceleration, deceleration, turning and normal running are considered. Finally, the performance of the EV under different operating conditions and driving cycles are compared.
AB - For economic reasons, the conventional induction motor is considered as a promising alternative of the PMSMs to be used in the electric vehicle (EV) applications in high-power range. To meet up the same torque demand, the DC bus requirement in OEWIM is half than the conventional induction motor based on star-delta stator winding configuration. Owing to these reasons, the dual OEWIM based drive is considered in this paper, where two separate dc sources are required. To keep the SoC of two battery sources at equal level, the two dc sources are required to be loaded proportionately. To satisfy this SoC balance requirement, an improved two-stage model predictive DTC (MPDTC) scheme is proposed in this paper. This MPDTC scheme chooses optimal voltage vectors based on a ranking method to be applied to the VSIs for maintaining SoC balance of two battery packs. The weighting factors for different variables need not be tuned in the proposed control scheme. The effectiveness of the proposed MPDTC scheme is verified through simulation and experiment both. The proposed control scheme can distribute the power between two battery packs proportionate to their SoC. The EV is tested for FTP-75 and HFET both the driving cycles under the proposed MPDTC scheme. Where various operating conditions such as acceleration, deceleration, turning and normal running are considered. Finally, the performance of the EV under different operating conditions and driving cycles are compared.
UR - https://www.scopus.com/pages/publications/85123380047
U2 - 10.1109/ECCE47101.2021.9595587
DO - 10.1109/ECCE47101.2021.9595587
M3 - Conference contribution
AN - SCOPUS:85123380047
T3 - 2021 IEEE Energy Conversion Congress and Exposition, ECCE 2021 - Proceedings
SP - 1490
EP - 1495
BT - 2021 IEEE Energy Conversion Congress and Exposition, ECCE 2021 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 13th IEEE Energy Conversion Congress and Exposition, ECCE 2021
Y2 - 10 October 2021 through 14 October 2021
ER -