LAPSE:2023.7554v1
Published Article
LAPSE:2023.7554v1
A Hierarchical Control Strategy for FWID-EVs Based on Multi-Agent with Consideration of Safety and Economy
Zhe Zhang, Haitao Ding, Konghui Guo, Niaona Zhang
February 24, 2023
Abstract
In this study, a hierarchical chassis control strategy is designed to enhance vehicle economy and safety for four-wheel independent-drive electric vehicles (FWID-EVs). In the upper-level, a vehicle dynamics model based on multiple agents is proposed, and a distributed model predictive control (DMPC) method is designed to dimensionally solve the problem of tracking the center-of-mass torque of the demanded velocity trajectory and stability parameters. In the bottom-level, a multi-objective torque distribution strategy that weighs safety, dynamics and economy based on multi-agent theory is designed by comprehensively considering the motor efficiency and tire energy loss. Finally, a hardware-in-the-loop (HIL) simulation platform is built to verify the method formulated in this paper. The results show that the method in this paper is effective in tracking the desired trajectory and further enhancing the stability of the vehicle under various conditions. Compared with other algorithms, while guaranteeing safety and dynamics, the energy consumption of the powertrain is reduced by 9.51%.
Keywords
distributed model predictive control, electric vehicles, energy management, torque allocation
Suggested Citation
Zhang Z, Ding H, Guo K, Zhang N. A Hierarchical Control Strategy for FWID-EVs Based on Multi-Agent with Consideration of Safety and Economy. (2023). LAPSE:2023.7554v1
Author Affiliations
Zhang Z: State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130000, China
Ding H: State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130000, China
Guo K: State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130000, China
Zhang N: State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130000, China; School of Electrical and Electronic Engineering, Changchun University of Technology, Changchun 130012, China
Journal Name
Energies
Volume
15
Issue
23
First Page
9112
Year
2022
Publication Date
2022-12-01
ISSN
1996-1073
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Original Submission
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PII: en15239112, Publication Type: Journal Article
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LAPSE:2023.7554v1
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