STABILITY CONTROL OF ENERGY SAVING ELECTRIC VEHICLE USING DYNAMIC NONLINEAR SYSTEM STATE ESTIMATION

Author:

ZHANG LIANCHENG1,AI WEIPING2,LIU ZHIBIN1,ZHANG LONG3,TENG XINMIAO2

Affiliation:

1. North China Institute of Aerospace Engineering, Hebei Electric Vehicle Charging Technology Innovation Center, No. 133, Aimindong Road, Langfang 065000, Hebei, China

2. CNPC Engineering Technology R&D Company Limited, No. 5 Yard, Huanghe Road, Changping District, Beijing 102206, China

3. School of Economics and Management, China University of Geosciences, Beijing, No. 29, Xueyuan Road, Haidian, Beijing 100083, China

Abstract

The purpose is to study the handling stability and energy saving mode of energy saving electric vehicles. First, the differences between electric vehicles and traditional fuel vehicles are analyzed. Moreover, based on active safety technology, the control stability, handling stability and driving safety of electric vehicles are improved. Then, based on the vehicle dynamics theory and the proposed assumptions, the modular electric vehicle dynamics model is established, including the wheel model, tire model and driver model, which can effectively control the error of the vehicle model and reduce the difficulty and complexity of vehicle modeling. Next, based on the model predictive control theory, the vehicle steady-state control strategy is established, which can predict and control the state of the electric vehicle in the compound condition and improve the control stability of the vehicle. Finally, the vehicle dynamic model and steady-state control system are simulated and tested. The experimental results show that the simulation results of the established dynamic model of the electric vehicle in angle step condition and single line shifting condition are consistent with the results of professional software, which shows that the established dynamic model can accurately describe the dynamic state of electric vehicle and provides the basis for the research of vehicle stability control strategy. Experimental results of the control strategy under the condition of double line shifting show that the designed control strategy can accurately track the state of the system and constrain the deviation in a small range, so as to ensure the driving stability of the electric vehicle. This exploration provides a reference for the study of dynamic analysis and handling stability control strategy of electric vehicles.

Publisher

World Scientific Pub Co Pte Ltd

Subject

Applied Mathematics,Geometry and Topology,Modeling and Simulation

Cited by 4 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. Wheel Drive Driverless Vehicle Handling and Stability Control Based on Multi-Directional Motion Coupling;Electronics;2024-07-12

2. Multi-objective optimization design of electric vehicle in-wheel motor based on Taguchi method;Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering;2024-02-12

3. Longitudinal Tracking Control of Autonomous Vehicle Based on Improved Model Predictive Control;2022 IEEE 5th International Conference on Automation, Electronics and Electrical Engineering (AUTEEE);2022-11-18

4. Vehicle State Estimation Based on Multidimensional Information Fusion;IEEE Access;2022

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3