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智能网联电动汽车节能优化控制研究进展与展望

申永鹏 袁小芳 赵素娜 孟步敏 王耀南

自动化学报2023,Vol.49Issue(12):2437-2456,20.
自动化学报2023,Vol.49Issue(12):2437-2456,20.DOI:10.16383/j.aas.c220819

智能网联电动汽车节能优化控制研究进展与展望

Energy-saving Optimization Control for Connected Automated Electric Vehicles:State of the Art and Perspective

申永鹏 1袁小芳 2赵素娜 1孟步敏 3王耀南2

作者信息

  • 1. 郑州轻工业大学电气信息工程学院 郑州 450002
  • 2. 湖南大学电气与信息工程学院 长沙 410002
  • 3. 湘潭大学自动化与电子信息学院 湘潭 411105
  • 折叠

摘要

Abstract

Improving the energy efficiency of electric vehicles and reducing the power consumption are major de-mands for the development of China's new energy vehicle industry.With the development of CAEV(connected automated electric vehicle),V2X(vehicle to everything)network information and various on-board sensors such as lidar,millimeter-wave radar,camera,positioning and navigation devices which provide CAEVs with a comprehens-ive information interaction,sharing and state perception capabilities,and endowed it with a huge potential for en-ergy-saving optimization.Aiming at the energy-saving optimization control problem of CAEV,the typical loss char-acteristics of electric vehicles are firstly analyzed from the six links of power battery,motor controller,drive motor,transmission mechanism,tires and driving decision-making,and the energy conversion process and coupling rela-tionship of CAEV are analyzed from three levels of decision-making,control and execution,as well as the energy-saving impact of network connection information on CAEV;Then,from the three aspects of vehicle speed optimiza-tion at the decision-making level,driving/braking torque optimization control at the control level,and current vec-tor optimization control at the action level,the energy-saving optimization problems at each level are expounded,and the research works at home and abroad are analyzed in detail;Finally,we summarized the difficulties of energy-saving optimal control of CAEV at the decision-making level,the control level and the action level,as well as the characteristics of the existing research works,and the future development trend is prospected.

关键词

智能网联/电动汽车/节能/优化控制

Key words

Intelligent connected/electric vehicle/energy-saving/optimization control

引用本文复制引用

申永鹏,袁小芳,赵素娜,孟步敏,王耀南..智能网联电动汽车节能优化控制研究进展与展望[J].自动化学报,2023,49(12):2437-2456,20.

基金项目

国家自然科学基金(62273313,62073127,62003288,62003312)资助Supported by National Natural Science Foundation of China(62273313,62073127,62003288,62003312) (62273313,62073127,62003288,62003312)

自动化学报

OA北大核心CSCDCSTPCD

0254-4156

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