Research on Regenerative Braking Control Strategy for Single-Pedal Pure Electric Commercial Vehicles

Author:

Li Zhe1,Shi Zhenning1,Gao Jianping1,Xi Jianguo1

Affiliation:

1. Vehicle and Traffic Engineering College, Henan University of Science and Technology, Luoyang 471003, China

Abstract

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.

Funder

Central Plains technological innovation leading talents

Publisher

MDPI AG

Subject

Automotive Engineering

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Automatic control method of diesel locomotive braking system based on PLC technology;Fourth International Conference on Mechanical Engineering, Intelligent Manufacturing, and Automation Technology (MEMAT 2023);2024-04-01

2. Long Downhill Braking and Energy Recovery of Pure Electric Commercial Vehicles;World Electric Vehicle Journal;2024-02-05

3. Neural Sliding Mode Control of a Buck-Boost Converter Applied to a Regenerative Braking System for Electric Vehicles;World Electric Vehicle Journal;2024-02-02

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