STUDY ON THE ALLOCATION STRATEGY OF REGENERATIVE BRAKING FORCE WITH A DRIVER’S INTENTION

Q3 Engineering

Journal of Mechanical Engineering Research and Developments Pub Date : 2019-08-29 DOI:10.26480/jmerd.05.2019.172.176

Shunming Li, Yuqing Su, Cong Shen, Yun Bai

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Abstract

The regenerative braking energy recovery system of electric vehicle can effectively improve its mileage. In this paper, we took the front-drive EV as the object to analyze the braking force allocation during its braking process. After considering ECE regulation, the motor peak torque and battery charging power as the main restrictive conditions and combining them with driver braking intensity discrimination characteristics, a new control strategy of regenerative braking force allocation was proposed for the vehicle. Then, simulation model was established on the MATLAB/Simulink software platform. At the same time, the initial velocity is 30km/h, 60km/h and 100km/h respectively, and the braking intensity is 0.1 and 0.5 respectively, which were set as simulation conditions. The simulation results of the strategy were compared to that of ideal braking force allocation strategy under the middle braking intensity condition. The results show that this control strategy can effectively achieve the braking energy recovery, and the efficiency at each initial braking speed of low, medium and high speeds is higher than that of ideal braking force allocation strategy.

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考虑驾驶员意愿的再生制动力分配策略研究

电动汽车再生制动能量回收系统可以有效提高其行驶里程。本文以前驱电动汽车为研究对象，分析了其制动过程中的制动力分配。将ECE法规、电机峰值转矩和电池充电功率作为主要约束条件，结合驾驶员制动强度判别特性，提出了一种新的车辆再生制动力分配控制策略。然后，在MATLAB/Simulink软件平台上建立仿真模型。同时，初始速度分别为30km/h、60km/h和100km/h，制动强度分别为0.1和0.5，作为仿真条件。仿真结果与中等制动强度条件下的理想制动力分配策略进行了比较。结果表明，该控制策略能有效实现制动能量回收，且在低、中、高速各初始制动速度下的效率均高于理想制动力分配策略。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Mechanical Engineering Research and Developments Engineering-Computational Mechanics

自引率

0.00%

发文量

审稿时长

9 weeks

期刊介绍： The scopes of the journal include, but are not limited to, the following topics: • Thermal Engineering and Fluids Engineering • Mechanics • Kinematics, Dynamics, & Control of Mechanical Systems • Mechatronics, Robotics and Automation • Design, Manufacturing, & Product Development • Human and Machine Haptics Specific topics of interest include: Advanced Manufacturing Technology, Analysis and Decision of Industry & Manufacturing System, Applied Mechanics, Biomechanics, CAD/CAM Integration Technology, Complex Curve Design, Manufacturing & Application, Computational Mechanics, Computer-aided Geometric Design & Simulation, Fluid Dynamics, Fluid Mechanics, General mechanics, Geomechanics, Industrial Application of CAD, Machinery and Machine Design, Machine Vision and Learning, Material Science and Processing, Mechanical Power Engineering, Mechatronics and Robotics, Artificial Intelligence, PC Guided Design and Manufacture, Precision Manufacturing & Measurement, Precision Mechanics, Production Technology, Quality & Reliability Engineering, Renewable Energy Technologies, Science and Engineering Computing, Solid Mechanics, Structural Dynamics, System Dynamics and Simulation, Systems Science and Systems Engineering, Vehicle Dynamic Performance Simulation, Virtual-tech Based System & Process-simulation, etc.