Yitong Song
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
Yitong Song has a total of 9 co-authors. Here are the top co-authors by number of shared publications:
- Changqing Jing
College of Mechanical and Vehicle Engineering, Chongqing University, Chongqing, China
1 shared publication Chen Xianbao
1 shared publicationGuo Cheng
1 shared publicationHongyu Shu
State Key Laboratory of Mechanical Transmissions Chongqing University Chongqing People's Republic of China
1 shared publication- Hongyu Shu
State Key Laboratory of Mechanical Transmissions, Chongqing University, Chongqing, China
1 shared publication Jing Changqing
1 shared publication
Latest Publications
- 16 March 2023
- Published by Springer Nature in International Journal of Control, Automation, and Systems
- Vol. 21 (5) , 1518-1537
Model Predictive Control for Integrated Lateral Stability and Rollover Prevention Based on a Multi-actuator Control System
- 16 March 2023
- Published by Springer Nature in International Journal of Control, Automation, and Systems
- Vol. 21 (5) , 1518-1537
Model Predictive Control for Integrated Lateral Stability and Rollover Prevention Based on a Multi-actuator Control System
- 1 January 2020
- Published by Chinese Journal of Mechanical Engineering in Journal of Mechanical Engineering
- Vol. 56 (16) , 204-213
State and Parameters Estimation for Distributed Drive Electric Vehicle Based on Unscented Kalman Filter
- 1 January 2020
- Published by Chinese Journal of Mechanical Engineering in Journal of Mechanical Engineering
- Vol. 56 (16) , 204-213
State and Parameters Estimation for Distributed Drive Electric Vehicle Based on Unscented Kalman Filter
- Open Access
- 1 November 2018
- Published by Institution of Engineering and Technology (IET) in IET Intelligent Transport Systems
- Vol. 13 (2) , 303-312
Direct‐yaw‐moment control of four‐wheel‐drive electrical vehicle based on lateral tyre–road forces and sideslip angle observer
Considering some technical and economic reasons, it is not easy to directly measure the vehicular moving parameters (such as tyre–road forces and vehicle sideslip angle) in electronic stability programme systems. This study proposes a method to estimate lateral tyre–road forces and vehicle sideslip angle by utilising real‐time measurements, based on the unscented Kalman filter. Direct‐yaw‐moment control can effectively guarantee the stability of vehicle while steering at a high speed. This study proposed a hierarchical control strategy as the solution to the problem of the yaw‐moment distribution. The overloop controller is designed to calculate the desired yaw moment based on the estimated lateral tyre–road forces and sideslip angle, using the sliding mode control. The servo‐loop controller is designed to optimise the torque distribution using weighted‐least‐squares method based on the desired yaw moment obtained from the overloop controller. MATLAB/Simulink with Carsim is applied for the simulation experiment, the results demonstrate the effectiveness of the lateral tyre–road force and sideslip angle observer, and the optimal allocation controller could improve the handling stability and energy efficiency dramatically.
- 1 November 2018
- Published by Institution of Engineering and Technology (IET) in IET Intelligent Transport Systems
- Vol. 13 (2) , 303-312
Open AccessDirect‐yaw‐moment control of four‐wheel‐drive electrical vehicle based on lateral tyre–road forces and sideslip angle observer
Considering some technical and economic reasons, it is not easy to directly measure the vehicular moving parameters (such as tyre–road forces and vehicle sideslip angle) in electronic stability programme systems. This study proposes a method to estimate lateral tyre–road forces and vehicle sideslip angle by utilising real‐time measurements, based on the unscented Kalman filter. Direct‐yaw‐moment control can effectively guarantee the stability of vehicle while steering at a high speed. This study proposed a hierarchical control strategy as the solution to the problem of the yaw‐moment distribution. The overloop controller is designed to calculate the desired yaw moment based on the estimated lateral tyre–road forces and sideslip angle, using the sliding mode control. The servo‐loop controller is designed to optimise the torque distribution using weighted‐least‐squares method based on the desired yaw moment obtained from the overloop controller. MATLAB/Simulink with Carsim is applied for the simulation experiment, the results demonstrate the effectiveness of the lateral tyre–road force and sideslip angle observer, and the optimal allocation controller could improve the handling stability and energy efficiency dramatically.