Yongchen Liu
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Yongchen Liu has a total of 7 co-authors. Here are the top co-authors by number of shared publications:
- Chao Tan
Nanjing University of Science and Technology, China
1 shared publication Fengshan Luo
Dongfeng Motor Corporation,ICV and Software,WuHan,China
1 shared publication- Jiazhi Zhang
Institute of Electronic and Engineering Technology, Harbin Institute of Technology, Harbin 150001, China
1 shared publication - Qi Nie
Dongfeng Motor Corporation,ICV and Software,WuHan,China
1 shared publication - Tianyu Zheng
Institute of Automation, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China
1 shared publication - Xiangming Xiao
School of Biological Sciences, Center for Earth Observation and Modeling, University of Oklahoma, Norman, USA
1 shared publication
Latest Publications
- 27 October 2023
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 1-6
A Vehicle Torque Distribution Method Combining Nonlinear Control and Optimization Techniques
Good stability is a prerequisite for vehicle operation. However, under certain extreme conditions, the vehicle’s state can quickly change and stability can be lost. In order to improve the stability of distributed drive electric vehicles (DDEVs) under these conditions, this paper proposes a hierarchical control strategy. The upper-level controller adopts a backstepping nonlinear control method to achieve stable yaw rate control. The lower-level controller combines backstepping and optimization to take into account the desired tire slip ratio while minimizing driver intervention and considering limited motor torque. Experimental results show that the proposed control strategy is superior to the average distribution (AD) strategy. The proposed control strategy can meet various requirements such as longitudinal/lateral stability, while reducing the interference on the driver’s torque demand in hazardous situations.
- 27 October 2023
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 1-6
A Vehicle Torque Distribution Method Combining Nonlinear Control and Optimization Techniques
Good stability is a prerequisite for vehicle operation. However, under certain extreme conditions, the vehicle’s state can quickly change and stability can be lost. In order to improve the stability of distributed drive electric vehicles (DDEVs) under these conditions, this paper proposes a hierarchical control strategy. The upper-level controller adopts a backstepping nonlinear control method to achieve stable yaw rate control. The lower-level controller combines backstepping and optimization to take into account the desired tire slip ratio while minimizing driver intervention and considering limited motor torque. Experimental results show that the proposed control strategy is superior to the average distribution (AD) strategy. The proposed control strategy can meet various requirements such as longitudinal/lateral stability, while reducing the interference on the driver’s torque demand in hazardous situations.
- Open Access
- 20 October 2023
- Published by Association for Computing Machinery (ACM)
- p. 1773-1778
DFIG-Based rotor kinetic energy: Using adaptive droop control strategy
Aiming at the problem that the existing DFIG frequency control strategy fails to fully exploit the rotational kinetic power, and it is easy to cause a secondary decrease in the frequency of the grid in the speed recovery stage, a variable domain fuzzy droop frequency control strategy for DFIG is proposed to take into account the rotor kinetic energy. Firstly, according to the rotor kinetic energy and frequency deviation, the scale factor of the variable domain fuzzy droop controller is reasonably set, and the domain of the fuzzy control is dynamically adjusted; secondly, a Gaussian decay function is used in the speed recovery stage to slowly reduce the active output increment of the DFIG. Finally, An IEEE four-machine two-zone system model for wind power grid connection was built for simulation verification. The simulation results demonstrate that the adaptive droop frequency control designed in this paper can provide reliable active output of the doubly-fed converter, improve the frequency response ability of the power system and reduce the secondary impact of the grid frequency when the speed is restored.
- 20 October 2023
- Published by Association for Computing Machinery (ACM)
- p. 1773-1778
Open AccessDFIG-Based rotor kinetic energy: Using adaptive droop control strategy
Aiming at the problem that the existing DFIG frequency control strategy fails to fully exploit the rotational kinetic power, and it is easy to cause a secondary decrease in the frequency of the grid in the speed recovery stage, a variable domain fuzzy droop frequency control strategy for DFIG is proposed to take into account the rotor kinetic energy. Firstly, according to the rotor kinetic energy and frequency deviation, the scale factor of the variable domain fuzzy droop controller is reasonably set, and the domain of the fuzzy control is dynamically adjusted; secondly, a Gaussian decay function is used in the speed recovery stage to slowly reduce the active output increment of the DFIG. Finally, An IEEE four-machine two-zone system model for wind power grid connection was built for simulation verification. The simulation results demonstrate that the adaptive droop frequency control designed in this paper can provide reliable active output of the doubly-fed converter, improve the frequency response ability of the power system and reduce the secondary impact of the grid frequency when the speed is restored.