中国机械工程学报2024,Vol.37Issue(1) :62-73.DOI:10.1186/s10033-024-00999-6

An Integrated Control Framework for Torque Vectoring and Active Suspension System

Jiwei Feng Jinhao Liang Yanbo Lu Weichao Zhuang Dawei Pi Guodong Yin Liwei Xu Pai Peng Chaobin Zhou
中国机械工程学报2024,Vol.37Issue(1) :62-73.DOI:10.1186/s10033-024-00999-6

An Integrated Control Framework for Torque Vectoring and Active Suspension System

Jiwei Feng 1Jinhao Liang 1Yanbo Lu 1Weichao Zhuang 1Dawei Pi 2Guodong Yin 1Liwei Xu 1Pai Peng 1Chaobin Zhou3
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作者信息

  • 1. School of Mechanical Engineering,Southeast University,Nanjing 211189,China
  • 2. School of Mechanical Engineering,Nanjing University of Science and Technology,Nanjing 210094,China
  • 3. School of Mechanical Engineering,Southeast University,Nanjing 211189,China;School of Mechano-Electronic Engineering,Lanzhou University of Technology,Lanzhou 730050,China
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Abstract

Four-wheel independently driven electric vehicles(FWID-EV)endow a flexible and scalable control framework to improve vehicle performance.This paper integrates the torque vectoring and active suspension system(ASS)to enhance the vehicle's longitudinal and vertical motion control performance.While the nonlinear characteristic of the tire model leads to a relatively heavier computational burden.To facilitate the controller design and ease the load,a half-vehicle dynamics system is built and simplified to the linear-time-varying(LTV)model.Then a model predictive controller is developed by formulating the objective function by comprehensively considering the safety,energy-saving and comfort requirements.The in-wheel motor efficiency and the power loss of tire slip are treated as optimization indices in this work to reduce energy consumption.Finally,the effectiveness of the proposed controller is verified through the rapid-control-prototype(RCP)test.The results demonstrate the enhancement of the energy-saving as well as comfort on the basis of vehicle stability.

Key words

Four-wheel independently driven electric vehicles/Tire nonlinearity/Linear-time-varying(LTV)model/Model predictive control/Rapid control prototype

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基金项目

国家自然科学基金(51975118)

国家自然科学基金(52025121)

Foundation of State Key Laboratory of Automotive Simulation and Control of China(20210104)

Foundation of State Key Laboratory of Automobile Safety and Energy Saving of China(KFZ2201)

Speciai Fund of Jiangsu Province for the Transformation of Scientific and Technological Achievements of China(BA2021023)

出版年

2024
中国机械工程学报
中国机械工程学会

中国机械工程学报

CSTPCDCSCD
影响因子:0.765
ISSN:1000-9345
参考文献量35
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