Hierarchical Control of Yaw Stability and Energy Efficiency for Distributed Drive Electric Vehicles

Jing, Changqing; Shu, Hongyu; Song, Ye‐Qiong; Guo, Chao

doi:10.1007/s12239-021-0104-5

Cited by 7 publications

(2 citation statements)

References 29 publications

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“…In generating an additional yaw moment calculated using the proposed NN-based NFTSM controller, distributing torque reasonably among the four wheels is crucial. Methods such as average [39], optimal [40], and dynamic vertical load distributions [41] are frequently employed for this purpose. When a vehicle is turning, there is a load distribution of longitudinal and lateral forces.…”

Section: Lower-level Controllermentioning

confidence: 99%

Improving Direct Yaw-Moment Control via Neural-Network-Based Non-Singular Fast Terminal Sliding Mode Control for Electric Vehicles

Lee,

Kim

2024

Sensors

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Given the increased significance of electric vehicles in recent years, this study aimed to develop a novel form of direct yaw-moment control (DYC) to enhance the driving stability of four-wheel independent drive (4WID) electric vehicles. Specifically, this study developed an innovative non-singular fast terminal sliding mode control (NFTSMC) method that integrates NFTSM and a fast-reaching control law. Moreover, this study employed a radial basis function neural network (RBFNN) to approximate both the entire system model and uncertain components, thereby reducing the computational load associated with a complex system model and augmenting the overall control performance. Using the aforementioned factors, the optimal additional yaw moment to ensure the lateral stability of a vehicle is determined. To generate the additional yaw moment, we introduce a real-time optimal torque distribution method based on the vertical load ratio. The stability of the proposed approach is comprehensively verified using the Lyapunov theory. Lastly, the validity of the proposed DYC system is confirmed by simulation tests involving step and sinusoidal inputs conducted using Matlab/Simulink and CarSim software. Compared to conventional sliding mode control (SMC) and NFTSMC methods, the proposed approach showed improvements in yaw rate tracking accuracy for all scenarios, along with a significant reduction in the chattering phenomenon in control torques.

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Section: Lower-level Controllermentioning

confidence: 99%

Improving Direct Yaw-Moment Control via Neural-Network-Based Non-Singular Fast Terminal Sliding Mode Control for Electric Vehicles

Lee,

Kim

2024

Sensors

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“…Regarding the torque allocation method based on optimization, many optimization objective functions have been proposed to improve vehicle performance. For instance, reference [39] adopts a multi-objective driving/braking torque allocation algorithm to achieve minimum energy consumption while maintaining vehicle stability. Reference [40] proposes a method based on the minimum tire slip criterion to prevent sideslip due to tire force saturation.…”

Section: Introductionmentioning

confidence: 99%

Lateral Stability Analysis of 4WID Electric Vehicle Based on Sliding Mode Control and Optimal Distribution Torque Strategy

2022

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In this paper, we propose a lateral stability control strategy for four-wheel independent drive (4WID) electric vehicles. The control strategy adopts a hierarchical structure. First, a seven-degree-of-freedom (7DOF) 4WID electric vehicle model is established. Then, the upper controller adopts the integral sliding mode control (ISMC) method to obtain the desired yaw moment by controlling both the yaw rate and the sideslip angle. A new sliding mode reaching law (NSMRL) is designed to reduce chattering and make state variables converge faster, and the superiority of NSMRL is verified by theoretical analysis. The lower controller proposes a new optimal allocation algorithm, which selects the tire utilization rate and the standard deviation coefficient of the tire utilization rate as the objective function. The safety performance of vehicle is improved, and the instability caused by the significant difference in the stability margin between the four wheels under extreme road conditions is avoided. Finally, a simulation is carried out to verify the effectiveness of the proposed control strategy under single-lane-change and J-turn maneuvers.

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Integrated Control of Four-Wheel Steering, Electronic Stability Control and Active Aerodynamic Control for Electric Vehicles

Changqing,

Hongyu,

Yitong

2024

Int.J Automot. Technol.

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Hierarchical Control of Yaw Stability and Energy Efficiency for Distributed Drive Electric Vehicles

Cited by 7 publications

References 29 publications

Improving Direct Yaw-Moment Control via Neural-Network-Based Non-Singular Fast Terminal Sliding Mode Control for Electric Vehicles

Improving Direct Yaw-Moment Control via Neural-Network-Based Non-Singular Fast Terminal Sliding Mode Control for Electric Vehicles

Lateral Stability Analysis of 4WID Electric Vehicle Based on Sliding Mode Control and Optimal Distribution Torque Strategy

Integrated Control of Four-Wheel Steering, Electronic Stability Control and Active Aerodynamic Control for Electric Vehicles

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