Zhenning Shi
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Zhenning Shi has a total of 3 co-authors. Here are the top co-authors by number of shared publications:
- Jianguo Xi
College of Vehicle and Traffic Engineering, Henan University of Science and Technology, Luoyang 471000, China
1 shared publication - Jianping Gao
College of Vehicle and Traffic Engineering, Henan University of Science and Technology, Luoyang, China
1 shared publication - Zhe Li
Vehicle and Traffic Engineering College, Henan University of Science and Technology, Luoyang 471003, China
1 shared publication
Latest Publications
- Open Access
- 18 August 2023
- Published by MDPI AG in World Electric Vehicle Journal
- Vol. 14 (8) , 229
Research on Regenerative Braking Control Strategy for Single-Pedal Pure Electric Commercial Vehicles
In recent years, with the increasing severity of energy and environmental issues, countries have vigorously developed the new energy automotive industry. To reduce the difficulty of driver operation and increase endurance mileage, this article proposes a regenerative braking control strategy for a single-pedal pure electric commercial vehicle. Firstly, the single-pedal control system’s hierarchical approach was designed to contain the driver’s intention analysis and torque calculation layers. After identifying the driver’s intention, a logic threshold method was used to determine the braking pattern. Then, a fuzzy theory was used, with road gradient, braking strength, and speed as input parameters, and the ratio coefficient of braking force as the output parameter. A hybrid regenerative braking strategy was formulated based on the ideal distribution curve. Finally, the proposed strategy was verified through simulation and a constant-speed car-following experiment. The constant-speed car-following experiment results show that the maximum optimization rate of energy consumption provided by the proposed single-pedal regenerative braking control strategy is 5.81%, and the average optimization rate is 4.33%. This strategy can effectively reduce energy consumption and improve the economic performance of single-pedal pure electric commercial vehicles.
- 18 August 2023
- Published by MDPI AG in World Electric Vehicle Journal
- Vol. 14 (8) , 229
Open AccessResearch on Regenerative Braking Control Strategy for Single-Pedal Pure Electric Commercial Vehicles
In recent years, with the increasing severity of energy and environmental issues, countries have vigorously developed the new energy automotive industry. To reduce the difficulty of driver operation and increase endurance mileage, this article proposes a regenerative braking control strategy for a single-pedal pure electric commercial vehicle. Firstly, the single-pedal control system’s hierarchical approach was designed to contain the driver’s intention analysis and torque calculation layers. After identifying the driver’s intention, a logic threshold method was used to determine the braking pattern. Then, a fuzzy theory was used, with road gradient, braking strength, and speed as input parameters, and the ratio coefficient of braking force as the output parameter. A hybrid regenerative braking strategy was formulated based on the ideal distribution curve. Finally, the proposed strategy was verified through simulation and a constant-speed car-following experiment. The constant-speed car-following experiment results show that the maximum optimization rate of energy consumption provided by the proposed single-pedal regenerative braking control strategy is 5.81%, and the average optimization rate is 4.33%. This strategy can effectively reduce energy consumption and improve the economic performance of single-pedal pure electric commercial vehicles.