Nowadays, hybrid electric vehicle (HEV) is a popularly vehicle due to its advances such as reducing fossil fuel consumption and emissions that affect on environment. Brake energy regeneration system is essential part in HEV and electric vehicle. It assists HEV in reducing fuel consumption and pollution emission. Regenerative braking system aims to discard heat energy from mechanical braking as vehicle decelerated. Therefore, design and develop a suitable regenerative braking system were always intended. The braking control strategies were variation and improvement. The mechanical – electric braking system was utilized. This braking system must achieve the criteria such as safety, stability, maximum energy recovery and the shortest the braking distance. This paper proposed a control strategy for this hybrid braking system. Firstly, braking performances were satisfied by braking torque distribution strategy between front and rear axles. Secondly, maximum energy recovery was computed by compromising between mechanical and electric braking torque. Two issues were implemented by applying fuzzy logic and rule-based to design the braking torque controllers. Two controllers were estimated through the results of simulation in power-split HEV. The controller, applied fuzzy-based, had significant improvements in fuel consumption compare with another one. In addition, this controller was more flexible in various driving conditions.
| Published in |
International Journal of Mechanical Engineering and Applications (Volume 8, Issue 1)
This article belongs to the Special Issue Transportation Engineering Technology – Part IV |
| DOI | 10.11648/j.ijmea.20200801.14 |
| Page(s) | 27-33 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2020. Published by Science Publishing Group |
Braking Force Distribution, Hybrid Electric Vehicle (HEV), Fuzzy Logic Control (FLC), Regenerative Braking System (RBS), Mechanical-Electric Braking System
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APA Style
Quoc-Viet Huynh, Ly Vinh Dat, Khanh-Tan Le. (2020). An Intelligent Regenerative Braking Strategy for Power-split Hybrid Electric Vehicle. International Journal of Mechanical Engineering and Applications, 8(1), 27-33. https://doi.org/10.11648/j.ijmea.20200801.14
ACS Style
Quoc-Viet Huynh; Ly Vinh Dat; Khanh-Tan Le. An Intelligent Regenerative Braking Strategy for Power-split Hybrid Electric Vehicle. Int. J. Mech. Eng. Appl. 2020, 8(1), 27-33. doi: 10.11648/j.ijmea.20200801.14
AMA Style
Quoc-Viet Huynh, Ly Vinh Dat, Khanh-Tan Le. An Intelligent Regenerative Braking Strategy for Power-split Hybrid Electric Vehicle. Int J Mech Eng Appl. 2020;8(1):27-33. doi: 10.11648/j.ijmea.20200801.14
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Download@article{10.11648/j.ijmea.20200801.14,
author = {Quoc-Viet Huynh and Ly Vinh Dat and Khanh-Tan Le},
title = {An Intelligent Regenerative Braking Strategy for Power-split Hybrid Electric Vehicle},
journal = {International Journal of Mechanical Engineering and Applications},
volume = {8},
number = {1},
pages = {27-33},
doi = {10.11648/j.ijmea.20200801.14},
url = {https://doi.org/10.11648/j.ijmea.20200801.14},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijmea.20200801.14},
abstract = {Nowadays, hybrid electric vehicle (HEV) is a popularly vehicle due to its advances such as reducing fossil fuel consumption and emissions that affect on environment. Brake energy regeneration system is essential part in HEV and electric vehicle. It assists HEV in reducing fuel consumption and pollution emission. Regenerative braking system aims to discard heat energy from mechanical braking as vehicle decelerated. Therefore, design and develop a suitable regenerative braking system were always intended. The braking control strategies were variation and improvement. The mechanical – electric braking system was utilized. This braking system must achieve the criteria such as safety, stability, maximum energy recovery and the shortest the braking distance. This paper proposed a control strategy for this hybrid braking system. Firstly, braking performances were satisfied by braking torque distribution strategy between front and rear axles. Secondly, maximum energy recovery was computed by compromising between mechanical and electric braking torque. Two issues were implemented by applying fuzzy logic and rule-based to design the braking torque controllers. Two controllers were estimated through the results of simulation in power-split HEV. The controller, applied fuzzy-based, had significant improvements in fuel consumption compare with another one. In addition, this controller was more flexible in various driving conditions.},
year = {2020}
}
TY - JOUR T1 - An Intelligent Regenerative Braking Strategy for Power-split Hybrid Electric Vehicle AU - Quoc-Viet Huynh AU - Ly Vinh Dat AU - Khanh-Tan Le Y1 - 2020/02/13 PY - 2020 N1 - https://doi.org/10.11648/j.ijmea.20200801.14 DO - 10.11648/j.ijmea.20200801.14 T2 - International Journal of Mechanical Engineering and Applications JF - International Journal of Mechanical Engineering and Applications JO - International Journal of Mechanical Engineering and Applications SP - 27 EP - 33 PB - Science Publishing Group SN - 2330-0248 UR - https://doi.org/10.11648/j.ijmea.20200801.14 AB - Nowadays, hybrid electric vehicle (HEV) is a popularly vehicle due to its advances such as reducing fossil fuel consumption and emissions that affect on environment. Brake energy regeneration system is essential part in HEV and electric vehicle. It assists HEV in reducing fuel consumption and pollution emission. Regenerative braking system aims to discard heat energy from mechanical braking as vehicle decelerated. Therefore, design and develop a suitable regenerative braking system were always intended. The braking control strategies were variation and improvement. The mechanical – electric braking system was utilized. This braking system must achieve the criteria such as safety, stability, maximum energy recovery and the shortest the braking distance. This paper proposed a control strategy for this hybrid braking system. Firstly, braking performances were satisfied by braking torque distribution strategy between front and rear axles. Secondly, maximum energy recovery was computed by compromising between mechanical and electric braking torque. Two issues were implemented by applying fuzzy logic and rule-based to design the braking torque controllers. Two controllers were estimated through the results of simulation in power-split HEV. The controller, applied fuzzy-based, had significant improvements in fuel consumption compare with another one. In addition, this controller was more flexible in various driving conditions. VL - 8 IS - 1 ER -
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