Hierarchical driving force allocation strategy for 4-WID electric vehicles

Wang, Jianlong; Zhang, Chuanwei; Yang, Zhiyuan; Dang, Meng; Chang, Bo; Li, Cheng; Zhang, Rongbo; Ma, Jian

doi:10.1177/09544070221115479

Cited by 1 publication

(2 citation statements)

References 29 publications

(47 reference statements)

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“…The analysis of experimental data shows that the cornering behaviors of the front wheel enter the nonlinear region more, and a be er fi ing effect can be obtained; the rear wheel only just reaches the nonlinear region, and it is difficult to obtain a be er fi ing effect, so the fi ing parameters 𝐵 and 𝐶 need to be selected manually to make a be er fi ing effect. The tire model fi ing results are shown in Figures 7 and 8, and the fi ing parameters are shown in Equation (10). 𝐹 = 0.85𝐹 sin 1.715 arctan 0.125𝛼 𝐹 = 0.85𝐹 sin (1.5arctan (0.25𝛼 ))…”

Section: Cornering Behaviorsmentioning

confidence: 99%

“…With energy conservation and emission reduction becoming the focus of public concern, electric vehicles have been receiving more attention in recent years [1,2]. As a new type of drive for electric vehicles, distributed drive has various advantages, such as simple structure and easy control, which is one of the important development directions of new energy vehicles in the future [3][4][5][6][7][8][9][10][11][12]. Research on driving stability control for distributed drive electric vehicles is becoming more mature as well as diverse.…”

Section: Introductionmentioning

confidence: 99%

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Decoupling Control of Yaw Stability of Distributed Drive Electric Vehicles

Wang,

Liu,

Yang

et al. 2024

WEVJ

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Most of the research on driving stability control of distributed drive electric vehicles is based on a yaw motion design controller. The designed controller can improve the lateral stability of the vehicle well but rarely mentions its changes to the roll and pitch motion of the body, and the uneven distribution of the driving force will also cause instability in the vehicle speed, resulting in wheel transition slip, wheel sideslip, and vehicle stability loss. In order to improve the spatial stability of distributed-driven electric vehicles and resolve the control instability caused by their motion coupling, a decoupled control strategy of yaw, roll, and pitch motion based on multi-objective constraints was proposed. The strategy adopts hierarchical control logic. At the upper level, a yaw motion controller based on robust model predictive control, a roll motion controller, and a pitch motion controller based on feedback optimal control are designed. In the lower level, through the motion coupling analysis of the vehicle yaw control process, based on the coupling analysis, the vehicle yaw, roll, and pitch decoupling controller based on multi-objective constraints is designed. Finally, the effectiveness of the decoupling controller is verified.

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Section: Cornering Behaviorsmentioning

confidence: 99%