LAPSE:2023.1963
Published Article

LAPSE:2023.1963
Optimal Control Strategy of Path Tracking and Braking Energy Recovery for New Energy Vehicles
February 21, 2023
Abstract
In order to further improve the stability of path tracking control and fuel economy of new energy vehicles, an optimal control strategy of path tracking and braking energy recovery is proposed. First, a model predictive controller is designed based on the three-degrees of freedom dynamics model of the vehicle according to the idea of hierarchical control, and a fuzzy yaw torque controller is established with the desired yaw velocity and side slip angle of the mass center as constraints. Second, at high-speed driving conditions, the executive layer of the component distributes the braking torque according to the braking energy recovery control strategy. Finally, the optimal control strategy of path tracking and braking energy recovery is verified by Carsim/Advisor/Simulink software under different driving speeds. The results show that the optimized control strategy can improve the tracking accuracy and driving stability of a vehicle with large curvature turning and further improve the fuel economy of new energy vehicles under the premise of meeting the control requirements.
In order to further improve the stability of path tracking control and fuel economy of new energy vehicles, an optimal control strategy of path tracking and braking energy recovery is proposed. First, a model predictive controller is designed based on the three-degrees of freedom dynamics model of the vehicle according to the idea of hierarchical control, and a fuzzy yaw torque controller is established with the desired yaw velocity and side slip angle of the mass center as constraints. Second, at high-speed driving conditions, the executive layer of the component distributes the braking torque according to the braking energy recovery control strategy. Finally, the optimal control strategy of path tracking and braking energy recovery is verified by Carsim/Advisor/Simulink software under different driving speeds. The results show that the optimized control strategy can improve the tracking accuracy and driving stability of a vehicle with large curvature turning and further improve the fuel economy of new energy vehicles under the premise of meeting the control requirements.
Record ID
Keywords
braking energy recovery, fuzzy control, new energy vehicles, path tracking, yaw moment controller
Subject
Suggested Citation
Zhao B, Liu R, Shi D, Li S, Cai Q, Shen W. Optimal Control Strategy of Path Tracking and Braking Energy Recovery for New Energy Vehicles. (2023). LAPSE:2023.1963
Author Affiliations
Zhao B: School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255049, China
Liu R: School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255049, China
Shi D: Hubei Key Laboratory of Power System Design and Test for Electrical Vehicle, Hubei University of Arts and Science, Xiangyang 441053, China
Li S: School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255049, China
Cai Q: Hubei Key Laboratory of Power System Design and Test for Electrical Vehicle, Hubei University of Arts and Science, Xiangyang 441053, China
Shen W: Hubei Key Laboratory of Power System Design and Test for Electrical Vehicle, Hubei University of Arts and Science, Xiangyang 441053, China
Liu R: School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255049, China
Shi D: Hubei Key Laboratory of Power System Design and Test for Electrical Vehicle, Hubei University of Arts and Science, Xiangyang 441053, China
Li S: School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255049, China
Cai Q: Hubei Key Laboratory of Power System Design and Test for Electrical Vehicle, Hubei University of Arts and Science, Xiangyang 441053, China
Shen W: Hubei Key Laboratory of Power System Design and Test for Electrical Vehicle, Hubei University of Arts and Science, Xiangyang 441053, China
Journal Name
Processes
Volume
10
Issue
7
First Page
1292
Year
2022
Publication Date
2022-06-30
ISSN
2227-9717
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Original Submission
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PII: pr10071292, Publication Type: Journal Article
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LAPSE:2023.1963
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https://doi.org/10.3390/pr10071292
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Feb 21, 2023
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