TAGHAVIPOUR, Amir ;ALIPOUR, Ali . HIL Evaluation of a Novel Real-time Energy Management System for an HEV with a Continuously Variable Transmission. Strojniški vestnik - Journal of Mechanical Engineering, [S.l.], v. 67, n.4, p. 142-152, may 2021. ISSN 0039-2480. Available at: <https://www.sv-jme.eu/article/hil-evaluation-of-a-novel-real-time-energy-management-system-for-a-hev-with-continuously-variable-transmission/>. Date accessed: 19 dec. 2024. doi:http://dx.doi.org/10.5545/sv-jme.2020.7017.
Taghavipour, A., & Alipour, A. (2021). HIL Evaluation of a Novel Real-time Energy Management System for an HEV with a Continuously Variable Transmission. Strojniški vestnik - Journal of Mechanical Engineering, 67(4), 142-152. doi:http://dx.doi.org/10.5545/sv-jme.2020.7017
@article{sv-jmesv-jme.2020.7017,
author = {Amir Taghavipour and Ali Alipour},
title = {HIL Evaluation of a Novel Real-time Energy Management System for an HEV with a Continuously Variable Transmission},
journal = {Strojniški vestnik - Journal of Mechanical Engineering},
volume = {67},
number = {4},
year = {2021},
keywords = {hybrid electric vehicle, continuously variable transmission (CVT), Autonomie, energy management system, explicit model predictive control, hardware in the loop},
abstract = {One of the most important challenges facing automotive engineers is reducing vehicle fuel consumption and improving the drivability index. Modern hybrid electric powertrains play an important role in reducing fuel consumption. Continuously variable transmission (CVT) is an automatic transmission that can change the gear ratio seamlessly using a belt and pulleys. CVT performs with infinite gear ratios. Controlling and determining the optimal gear ratio, especially in a complex hybrid powertrain, is a major challenge. Therefore, a multi-parametric model predictive controller with real-time implementation capability is proposed that can handle the energy management task concurrently with gear shifting strategy in a parallel pre-transmission hybrid electric vehicle. The proposed controller hardware-in-the-loop (HIL) validation procedure on the high-fidelity Autonomie model shows significant improvement in fuel economy while maintaining drivability in three different driving schedules. HIL evaluation guarantees the real-time capability and the proposed controller readiness to be implemented to real-world control hardware.},
issn = {0039-2480}, pages = {142-152}, doi = {10.5545/sv-jme.2020.7017},
url = {https://www.sv-jme.eu/article/hil-evaluation-of-a-novel-real-time-energy-management-system-for-a-hev-with-continuously-variable-transmission/}
}
Taghavipour, A.,Alipour, A. 2021 May 67. HIL Evaluation of a Novel Real-time Energy Management System for an HEV with a Continuously Variable Transmission. Strojniški vestnik - Journal of Mechanical Engineering. [Online] 67:4
%A Taghavipour, Amir %A Alipour, Ali %D 2021 %T HIL Evaluation of a Novel Real-time Energy Management System for an HEV with a Continuously Variable Transmission %B 2021 %9 hybrid electric vehicle, continuously variable transmission (CVT), Autonomie, energy management system, explicit model predictive control, hardware in the loop %! HIL Evaluation of a Novel Real-time Energy Management System for an HEV with a Continuously Variable Transmission %K hybrid electric vehicle, continuously variable transmission (CVT), Autonomie, energy management system, explicit model predictive control, hardware in the loop %X One of the most important challenges facing automotive engineers is reducing vehicle fuel consumption and improving the drivability index. Modern hybrid electric powertrains play an important role in reducing fuel consumption. Continuously variable transmission (CVT) is an automatic transmission that can change the gear ratio seamlessly using a belt and pulleys. CVT performs with infinite gear ratios. Controlling and determining the optimal gear ratio, especially in a complex hybrid powertrain, is a major challenge. Therefore, a multi-parametric model predictive controller with real-time implementation capability is proposed that can handle the energy management task concurrently with gear shifting strategy in a parallel pre-transmission hybrid electric vehicle. The proposed controller hardware-in-the-loop (HIL) validation procedure on the high-fidelity Autonomie model shows significant improvement in fuel economy while maintaining drivability in three different driving schedules. HIL evaluation guarantees the real-time capability and the proposed controller readiness to be implemented to real-world control hardware. %U https://www.sv-jme.eu/article/hil-evaluation-of-a-novel-real-time-energy-management-system-for-a-hev-with-continuously-variable-transmission/ %0 Journal Article %R 10.5545/sv-jme.2020.7017 %& 142 %P 11 %J Strojniški vestnik - Journal of Mechanical Engineering %V 67 %N 4 %@ 0039-2480 %8 2021-05-05 %7 2021-05-05
Taghavipour, Amir, & Ali Alipour. "HIL Evaluation of a Novel Real-time Energy Management System for an HEV with a Continuously Variable Transmission." Strojniški vestnik - Journal of Mechanical Engineering [Online], 67.4 (2021): 142-152. Web. 19 Dec. 2024
TY - JOUR AU - Taghavipour, Amir AU - Alipour, Ali PY - 2021 TI - HIL Evaluation of a Novel Real-time Energy Management System for an HEV with a Continuously Variable Transmission JF - Strojniški vestnik - Journal of Mechanical Engineering DO - 10.5545/sv-jme.2020.7017 KW - hybrid electric vehicle, continuously variable transmission (CVT), Autonomie, energy management system, explicit model predictive control, hardware in the loop N2 - One of the most important challenges facing automotive engineers is reducing vehicle fuel consumption and improving the drivability index. Modern hybrid electric powertrains play an important role in reducing fuel consumption. Continuously variable transmission (CVT) is an automatic transmission that can change the gear ratio seamlessly using a belt and pulleys. CVT performs with infinite gear ratios. Controlling and determining the optimal gear ratio, especially in a complex hybrid powertrain, is a major challenge. Therefore, a multi-parametric model predictive controller with real-time implementation capability is proposed that can handle the energy management task concurrently with gear shifting strategy in a parallel pre-transmission hybrid electric vehicle. The proposed controller hardware-in-the-loop (HIL) validation procedure on the high-fidelity Autonomie model shows significant improvement in fuel economy while maintaining drivability in three different driving schedules. HIL evaluation guarantees the real-time capability and the proposed controller readiness to be implemented to real-world control hardware. UR - https://www.sv-jme.eu/article/hil-evaluation-of-a-novel-real-time-energy-management-system-for-a-hev-with-continuously-variable-transmission/
@article{{sv-jme}{sv-jme.2020.7017},
author = {Taghavipour, A., Alipour, A.},
title = {HIL Evaluation of a Novel Real-time Energy Management System for an HEV with a Continuously Variable Transmission},
journal = {Strojniški vestnik - Journal of Mechanical Engineering},
volume = {67},
number = {4},
year = {2021},
doi = {10.5545/sv-jme.2020.7017},
url = {https://www.sv-jme.eu/article/hil-evaluation-of-a-novel-real-time-energy-management-system-for-a-hev-with-continuously-variable-transmission/}
}
TY - JOUR AU - Taghavipour, Amir AU - Alipour, Ali PY - 2021/05/05 TI - HIL Evaluation of a Novel Real-time Energy Management System for an HEV with a Continuously Variable Transmission JF - Strojniški vestnik - Journal of Mechanical Engineering; Vol 67, No 4 (2021): Strojniški vestnik - Journal of Mechanical Engineering DO - 10.5545/sv-jme.2020.7017 KW - hybrid electric vehicle, continuously variable transmission (CVT), Autonomie, energy management system, explicit model predictive control, hardware in the loop N2 - One of the most important challenges facing automotive engineers is reducing vehicle fuel consumption and improving the drivability index. Modern hybrid electric powertrains play an important role in reducing fuel consumption. Continuously variable transmission (CVT) is an automatic transmission that can change the gear ratio seamlessly using a belt and pulleys. CVT performs with infinite gear ratios. Controlling and determining the optimal gear ratio, especially in a complex hybrid powertrain, is a major challenge. Therefore, a multi-parametric model predictive controller with real-time implementation capability is proposed that can handle the energy management task concurrently with gear shifting strategy in a parallel pre-transmission hybrid electric vehicle. The proposed controller hardware-in-the-loop (HIL) validation procedure on the high-fidelity Autonomie model shows significant improvement in fuel economy while maintaining drivability in three different driving schedules. HIL evaluation guarantees the real-time capability and the proposed controller readiness to be implemented to real-world control hardware. UR - https://www.sv-jme.eu/article/hil-evaluation-of-a-novel-real-time-energy-management-system-for-a-hev-with-continuously-variable-transmission/
Taghavipour, Amir, AND Alipour, Ali. "HIL Evaluation of a Novel Real-time Energy Management System for an HEV with a Continuously Variable Transmission" Strojniški vestnik - Journal of Mechanical Engineering [Online], Volume 67 Number 4 (05 May 2021)
Strojniški vestnik - Journal of Mechanical Engineering 67(2021)4, 142-152
© The Authors, CC-BY 4.0 Int. Change in copyright policy from 2022, Jan 1st.
One of the most important challenges facing automotive engineers is reducing vehicle fuel consumption and improving the drivability index. Modern hybrid electric powertrains play an important role in reducing fuel consumption. Continuously variable transmission (CVT) is an automatic transmission that can change the gear ratio seamlessly using a belt and pulleys. CVT performs with infinite gear ratios. Controlling and determining the optimal gear ratio, especially in a complex hybrid powertrain, is a major challenge. Therefore, a multi-parametric model predictive controller with real-time implementation capability is proposed that can handle the energy management task concurrently with gear shifting strategy in a parallel pre-transmission hybrid electric vehicle. The proposed controller hardware-in-the-loop (HIL) validation procedure on the high-fidelity Autonomie model shows significant improvement in fuel economy while maintaining drivability in three different driving schedules. HIL evaluation guarantees the real-time capability and the proposed controller readiness to be implemented to real-world control hardware.