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Research on Hierarchical Stability Control Strategy Based on Model Predictive Control for Multi-axis H-Type Distributed Drive Electric Vehicles
Journal Article
14-12-01-0007
ISSN: 2691-3747, e-ISSN: 2691-3755
Sector:
Topic:
Citation:
Zeng, X., Gao, H., Song, D., and Wu, Z., "Research on Hierarchical Stability Control Strategy Based on Model Predictive Control for Multi-axis H-Type Distributed Drive Electric Vehicles," SAE Int. J. Elec. Veh. 12(1):129-141, 2023, https://doi.org/10.4271/14-12-01-0007.
Language:
English
Abstract:
As a special distributed drive configuration, H-type distributed drive electric
vehicle (H-DDEV) has better off-road ability and trafficability than traditional
distributed drive electric vehicle, which attracts the interest of researchers
deeply. However, due to its unique structure, how to ensure the stability of
H-DDEV is still a key control problem. In this article, a hierarchical stability
control algorithm based on model predictive control (HC-MPC) is proposed for
H-DDEV. First, the vehicle dynamics model is established, which can reflect the
dynamic characteristics of H-DDEV. Then, the HC-MPC is designed. In the upper
layer, the nonlinear two-degrees-of freedom (2-DOF) model is applied in MPC,
which can improve the control accuracy without increasing complexity through
local linearization. In the lower layer, the optimal distribution equation is
constructed to coordinate the torque distribution, which can make full use of
the motor drive/braking characteristics and protecting the motor controller
meanwhile. Finally, the proposed HC-MPC algorithm is evaluated through
MATLAB/Simulink simulation tests under the double lane change (DLC) handling
test. The simulation results show that the HC-MPC algorithm can ensure the
stability of the H-DDEV, and the control effect is better than that of the
traditional control algorithm based on PID (HC-PID).