Considering the economic distributed drive electric vehicle chassis domain control

To solve the coordinated optimization control problem of economy and stability of distributed drive electric vehicle (DDEV), and to solve the problems that the existing control strategies are sensitive to external disturbances and rely too much on modeling accuracy, we design a hierarchical control strategy which takes both economy and stability into consideration. The upper controller uses the trajectory prediction driver model to calculate the steering wheel angle according to the expected path. At the same time, the longitudinal torque required by the vehicle is calculated by PID tracking speed. The middle controller adopts the backstepping active disturbance rejection control (BADRC) theory. The active rear wheel steering (ARS) and direct yaw moment (DYC) controllers are designed by the error between the side slip angle and the yaw rate and the ideal value. The lower controller is based on the longitudinal torque and the additional yaw moment calculated by the middle controller. Considering the economy of the in-wheel motor and the stability of the vehicle and using the phase plane to coordinate, the torque distribution is completed. Finally, the double lane change and fishhook conditions are verified by Carsim and Matlab Simulink co-simulation. The simulation results show that the proposed control strategy can effectively coordinate the relationship between vehicle economy and stability, and the control precision is higher than that of OBC and PID control.

Authors

Institutions

Publication Details

Journal
Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering
Published
2025-03-31
DOI
https://doi.org/10.1177/09544070251325589
Citations
1
Primary Topic
Electric and Hybrid Vehicle Technologies
Type
article
Field-Weighted Citation Impact
0.68

Funders

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article

Considering the economic distributed drive electric vehicle chassis domain control

Fen Lin, Youqun Zhao, Danyang Li, Mo Yu
1 citations
Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering
Electric and Hybrid Vehicle Technologies
0.68
article

Considering the economic distributed drive electric vehicle chassis domain control

Fen Lin, Youqun Zhao, Danyang Li, Mo Yu
article en
1 citations

Abstract

To solve the coordinated optimization control problem of economy and stability of distributed drive electric vehicle (DDEV), and to solve the problems that the existing control strategies are sensitive to external disturbances and rely too much on modeling accuracy, we design a hierarchical control strategy which takes both economy and stability into consideration. The upper controller uses the trajectory prediction driver model to calculate the steering wheel angle according to the expected path. At the same time, the longitudinal torque required by the vehicle is calculated by PID tracking speed. The middle controller adopts the backstepping active disturbance rejection control (BADRC) theory. The active rear wheel steering (ARS) and direct yaw moment (DYC) controllers are designed by the error between the side slip angle and the yaw rate and the ideal value. The lower controller is based on the longitudinal torque and the additional yaw moment calculated by the middle controller. Considering the economy of the in-wheel motor and the stability of the vehicle and using the phase plane to coordinate, the torque distribution is completed. Finally, the double lane change and fishhook conditions are verified by Carsim and Matlab Simulink co-simulation. The simulation results show that the proposed control strategy can effectively coordinate the relationship between vehicle economy and stability, and the control precision is higher than that of OBC and PID control.

Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile EngineeringVol. 240(2-3)
Nanjing University of Aeronautics and Astronautics (CN)
National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 32%
Electric and Hybrid Vehicle Technologies
0.68
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