Dynamic Coordinated Control Based on Sliding Mode Controller During Mode Switching With ICE Starting for an HEV

Gao, Aiyun; Fu, Zhumu; Tao, Fazhan

doi:10.1109/access.2020.2983613

Cited by 26 publications

(8 citation statements)

References 29 publications

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“…The authors are grateful for the financial support provided by the National Natural Science Foundation of China (No.U1764259). Proc IMechE Part C: J Mechanical Engineering Science 237 (16) this article: This work was supported by the National Natural Science Foundation of China (No.U1764259).…”

Section: Acknowledgementmentioning

confidence: 99%

“…Therefore, speed tracking-based feedback control offers greater control precision and other advantages. Various methods for shift process tracking control have been implemented in studies using the clutch and engine speed as feedback, including fuzzy control, 15 sliding mode control, 16 model predictive control, 17,18 internal model control, 19 robust control, 14 backstepping, 20 self-tuning proportional-integral-derivative (PID). 21 Using the state quantity with an accurately measured feedback value can improve the control accuracy and reduce the number of calculations.…”

Section: Introductionmentioning

confidence: 99%

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Pseudo-spectral optimization and model predictive control of vehicle shift process with dual clutch transmission

Feng

Qin

Liu

et al. 2023

Proceedings of the Institution of Mechanical Engineers, Part C:

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To improve the shift quality of dual clutch transmission (DCT) vehicles and reduce the jerk and sliding friction in the shift process, a real-time planning of clutch optimal engagement trajectory and control method in the shift process is proposed. This method combines pseudo-spectral optimization, machine learning, and model predictive control. First, considering the jerk, sliding friction work, and shift time as the optimization indices, the adaptive pseudo-spectral method is employed to optimize the engagement trajectory of the clutch during the shift process. Based on the optimal trajectory data set, a gradient boosting decision tree-based real-time planning method for the clutch target engagement trajectory is proposed. Second, a model predictive control strategy for the shift process is proposed based on the DCT system model to track the optimal target trajectory in real-time. Simulations and experiments reveal that the proposed target engagement trajectory planning method can plan the clutch target engagement trajectory for various accelerator pedal openings and initial clutch speed states in real-time, and the proposed model predictive control method can accurately track the target trajectory. Compared with the original vehicle strategy, under 35% and 65% accelerator pedal opening, the maximum absolute value of jerk produced by the proposed strategy was reduced by 31.06% and 31.46%, respectively, and the sliding friction work was reduced by 22.87% and 23.24%, respectively. The shift times of the proposed strategy under 35% and 65% accelerator pedal openings were 19.12% and 20.69% lower than that of the original vehicle strategy, respectively.

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Section: Acknowledgementmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Pseudo-spectral optimization and model predictive control of vehicle shift process with dual clutch transmission

Feng

Qin

Liu

et al. 2023

Proceedings of the Institution of Mechanical Engineers, Part C:

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“…The hybrid drive modes include electric mode, seral mode and parallel mode. Aiyun Gao et al [2] designed a control method of torque coordination through sliding control based on disturbance compensation. Chao Yang et al [3] designed an adaptive control for the clutch engagement in a parallel electric vehicle.…”

Section: Introductionmentioning

confidence: 99%

Research on coordinated control of mode transition in dual-drive hybrid system

Liu

Jing

Wang

et al. 2023

International Conference on Cyber Security, Artificial Intelligence, and Digital Economy (CSAIDE 2023)

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Due to the high economy and drivability performance objectives, the dual-drive hybrid system which has two motors is developed. In the diverse conditions, the drive modes which are on account of the engine status, the requested driver torque and power, C0 status are presented. The unique challenge of the dual-drive hybrid system is drive modes transition. Specifically, the path transition from the electric mode control to parallel mode control in the acceleration and from parallel mode to electric mode in the brake acceleration. The drive mode control process is divided into five control phases. Finally, tests are successfully performed in the real vehicles to prove that the drivability performance are greatly improved and the innovative control strategy is also demonstrated.

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“…operating region. Therefore, HEVs are considered as solution for increasing energy efficiency without compromising vehicle performance [9], [10].…”

Section: Introductionmentioning

confidence: 99%

Performance Enhancement of the IPMSM for HEV Applications Using Grain-Oriented Electrical Steel and Design Optimization

et al. 2022

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This paper proposes a method for enhancing the performance of an interior permanent magnet synchronous motor (IPMSM) using grain-oriented electrical steel (GO) and design optimization. As the GO has superior magnetic characteristics in the rolling direction, the GO is applied to the stator teeth to increase the torque and reduce the iron loss of the IPMSM. However, such an approach leads to higher saturation on the core, resulting in worse pulsation characteristics. To handle with pulsation problem on the IPMSM, design optimization is conducted. In this paper, the interpolation multi-objective robust optimization algorithm (IMROA) was proposed. The IMROA can reduce the calculation time by interpolating the objective region and utilizing a stepwise sampling strategy. Moreover, the IMROA considers the robustness of the found solution and can derive a robust global solution that has robustness on the manufacturing tolerance and deformation during the operation and prevents unexpected results on the IPMSM.

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Dynamic Coordinated Control Based on Sliding Mode Controller During Mode Switching With ICE Starting for an HEV

Cited by 26 publications

References 29 publications

Pseudo-spectral optimization and model predictive control of vehicle shift process with dual clutch transmission

Pseudo-spectral optimization and model predictive control of vehicle shift process with dual clutch transmission

Research on coordinated control of mode transition in dual-drive hybrid system

Performance Enhancement of the IPMSM for HEV Applications Using Grain-Oriented Electrical Steel and Design Optimization

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