Huasheng Chen
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Huasheng Chen has a total of 5 co-authors. Here are the top co-authors by number of shared publications:
- Leyi Yuan
State Key Laboratory for the Protection and Utilization of Subtropical Agricultural Biological Resources, College of Mechanical Engineering, Guangxi University, Nanning 530004, China
1 shared publication - Mingzhang Pan
College of Mechanical Engineering, Guangxi University, Nanning 530004, China
1 shared publication - Wei Guan
College of Mechanical Engineering, Guangxi University, Nanning 530004, China
1 shared publication - Xinxin Cao
College of Mechanical Engineering, Guangxi University, Nanning 530004, China
1 shared publication - Yifang Zhou
State Key Laboratory for the Protection and Utilization of Subtropical Agricultural Biological Resources, College of Mechanical Engineering, Guangxi University, Nanning 530004, China
1 shared publication
Latest Publications
- Open Access
- 2 November 2023
- Published by MDPI AG in Applied Sciences
- Vol. 13 (21) , 11968
A Novel Longitudinal Control Method Integrating Driving Style and Slope Prediction for High-Efficiency HD Vehicles
Developing high-precision vehicle longitudinal control technology guided by ecological driving represents a highly promising yet challenging endeavor. It necessitates the fulfillment of the driver’s operational intentions, precise speed control, and reduced fuel consumption. In light of this challenge, this study presents a novel vehicle longitudinal control model that integrates real-time driving style analysis and road slope prediction. First, it utilizes spectral clustering based on Bi-LSTM automatic encoders to identify driver driving styles. Next, it examines the driving environment and predicts the current slope of the vehicle. Additionally, a fuzzy controller is designed to optimize control performance, adapt to various driving styles and slopes, and achieve better fuel efficiency. The research results indicate that the DS-MPC control model developed in this paper can effectively distinguish various driving modes and has high speed control accuracy while saving 3.27% of fuel.
- 2 November 2023
- Published by MDPI AG in Applied Sciences
- Vol. 13 (21) , 11968
Open AccessA Novel Longitudinal Control Method Integrating Driving Style and Slope Prediction for High-Efficiency HD Vehicles
Developing high-precision vehicle longitudinal control technology guided by ecological driving represents a highly promising yet challenging endeavor. It necessitates the fulfillment of the driver’s operational intentions, precise speed control, and reduced fuel consumption. In light of this challenge, this study presents a novel vehicle longitudinal control model that integrates real-time driving style analysis and road slope prediction. First, it utilizes spectral clustering based on Bi-LSTM automatic encoders to identify driver driving styles. Next, it examines the driving environment and predicts the current slope of the vehicle. Additionally, a fuzzy controller is designed to optimize control performance, adapt to various driving styles and slopes, and achieve better fuel efficiency. The research results indicate that the DS-MPC control model developed in this paper can effectively distinguish various driving modes and has high speed control accuracy while saving 3.27% of fuel.