Name

SHI Dehua

Professional Title

Associate Professor

E-mail

dhshi@ujs.edu.cn

Short Biography

Education Background

Ph.D.(2011.9-2017.6), Automotive Engineering, Jiangsu University

B.E. (2007.9-2011.6), Automotive   Engineering, Jiangsu University

Working Experience

2020.7-now, Automotive Engineering Research Institute,   Jiangsu University, Associate professor

2017.9-2020.7, Automotive Engineering Research   Institute, Jiangsu University, Lecturer

2015.9-2016.9, Department of Automotive   Engineering/CU-ICAR Clemson University, Visiting scholar

Teaching Courses

1. 《Hydraulic   and Fluid Power Transmission》

2. 《New   Energy Vehicle Technology》

Research Fields

1. Optimal   design and control theory of intelligent/electrified vehicles

2. Vehicle   system dynamics simulation and control

Research Projects

1. National   Natural Science Foundation of China

2. National   Natural Science Foundation of Jiangsu Province

3. the   Postdoctoral Science Foundation of China

4. the   Natural Science Research Project of Jiangsu Higher Education Institutions

5. the Key   Research and Development Program of Zhenjiang City

6. the   Shanghai Automotive Industry Science and Technology Development Foundation

7. the Foundation   for the Key Laboratory of Advanced Manufacture Technology for Automobile   Parts, Ministry of Education

Selected Publications

1. Shi Dehua,   Pierluigi Pisu, Chen Long, et al. Control design and fuel economy   investigation of power split HEV with energy regeneration of suspension. Applied Energy, 2016, 182:576-589.

2. Shi Dehua, Liu Sheng, Cai Yingfeng, et al. Pontryagin’s minimum principle based   fuzzy adaptive energy management for hybrid electric vehicle using real-time   traffic information. Applied Energy. 2021, 286: 116467.

3. Shi Dehua,   Wang Shaohua, Pierluigi Pisu, et al. Modeling and   optimal energy management of a power split hybrid electric vehicle.   Science China   Technological Sciences, 2017(5):1-13.

4. Shi Dehua,   Chen Long, Wang Ruochen, et al. Design and experiment study of a semi-active   energy-regenerative suspension system. Smart   Materials and Structures, 2015, 24(1):15001-15012.

5. Shi Dehua, Wang Shaohua, Cai   Yingfeng, et al. Stochastic predictive energy management of power split   hybrid electric bus for real-world driving cycles. IEEE Access,   2018, 6: 61700-61713.

6. Shi Dehua, Wang Shaohua, Cai   Yingfeng, et al, Model predictive control for nonlinear energy management of   a power split hybrid electric vehicle. Intelligent Automation and Soft   Computing, 2019.

7. Shi   Dehua, Chen   Long, Wang Ruochen, Yuan Chaochun, Liu Yanling, Research on   energy-regenerative performance of suspension system with semi-active control.   Journal of Vibration Engineering & Technologies, 2019, 7(5):   465-475.

8. Wang Shaohua, Zhang Sheng, Shi   Dehua*, et al. Research on hybrid modeling and   predictive energy management for a power split hybrid electric vehicle. Bulletin   of the Polish Academy of Science, 2021, 69(3): e137064.

9. Shi Dehua, Cai Yingfeng, Wang Shaohua, et al. Nonlinear predictive   control of power split hybrid electric vehicle with optimal system efficiency.   Journal of Zhejiang University (Engineering Science), 2019, 53(12) :   2271-2279.  (in   Chinese)

10. Chen Long, Shi Dehua, Wang Ruochen, Zhou   Huawei. Energy conservation analysis and control of hybrid active semiactive   suspension with three regulating damping levels. Shock & Vibration,   2015, 2016(22):1-14.

11. Chen   Long, Shi Dehua, Wang Ruochen and Qian Jingang. Adaptive off-line   neural network inverse control for energy-harvesting suspension, Transactions of the Chinese Society for   Agricultural Machinery, 2015, 46(2):281-287. (in Chinese)

12. Chen   Long, Shi Dehua, Wang Ruochen, Zhou Huawei. Semi-active control of   energy-regenerative suspension based on hybrid control strategy, Journal of Beijing Institute of Technology   (Social Sciences Edition), 2016(3):   252-257. (in Chinese)

13. Wang Shaohua, Li Jiaxin, Shi Dehua, et al.   Energy management strategy of dual planetary   hybrid electric vehicle based on optimal transmission efficiency, Journal of Theoretical   and Applied Mechanics, 2019, 57(2): 383-396.

Selected   Patents

1. Shi   Dehua, Liu Sheng, Rong Xiangwei, et al. A novel   adaptive energy management system and method of hybrid electric vehicles.

2. Shi   Dehua, Chen Long, Wang Shaohua, et al. A novel   vehicle control method based on the energy regeneration of suspension.

3. Shi   Dehua, Chen Long, Wang Ruochen, et al. A novel electromagnetic   energy-regenerative suspension with variable stifness.

4. Wang   Shaohua, Yu Chengquan, Shi Dehua, et al. A novel dual-planetary power   coupling configuration and its control method for hybrid electric vehicles.

5. Wang   Shaohua, Li Jiaxin, Shi Dehua, et al. A novel dual-motor   dual-planetary power coupling configuration with locking function and its   control method for hybrid electric vehicles.