智能电动汽车信息感知技术研究进展
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作者单位:

1.中国科学院深圳先进技术研究院深圳518055;2.上海大学机电工程与自动化学院上海200444

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TH39U469.72

基金项目:

国家自然科学基金(61603377,61573337)、深圳市科技计划(JSGG20141020103523742)项目资助


Advanced research on information perception technologies of intelligent electric vehicles
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1. Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055,China; 2. School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444,China

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    摘要:

    智能电动汽车是一类特殊的移动智能机器人,能够改变人类生活品质、时空价值和文化融合。主要介绍了智能电动汽车发展的历程和国内外相关研究的发展水平和核心技术;重点讨论了智能电动汽车车路感知、智能充电桩和电池管理系统等智能电动汽车主要研究热点,分析了传感技术、数据融合算法、控制算法和通信技术等智能汽车关键核心技术的研发现状。随着大数据、云计算等新型智能传感技术的发展,未来的智能感知将彻底改变传统机器视觉技术在底层特征上的模式识别。在智能电动汽车产业化过程中也需解决人性、安全性、可靠性以及法律和道德等问题。总之,智能电动汽车技术的迅猛发展将改变人类的时空观念,也必将对交通运输业产生深远且革命性的影响。

    Abstract:

    Defined as a type of mobile robot, smart electric vehicle is changing the quality of human life, spacetime value and cultural integration. In this paper, the development of smart electric vehicle is detailed introduced as well as its technological level and related core technololies at home and abroad. The information perception, electric vehicle charging pil, and battery management system are focused. The related core technololgies in electric vehicle, such as sensing technology, data fusion, control algorithm, and communication technology, are summarized. With the development of novel intelligent sensing technology, such as large data and cloud computing, future intelligence perception will completely change the pattern recognition of traditional machine vision technology on the underlying characteristics. In the process of industrialization of intelligent electric vehicles also need to address human nature, security, reliability and legal and moral issues. The rapid development of intelligent electric vehicle technology will change the concept of time and space of mankind, but also will have a farreaching and revolutionary impact on the transport industry.

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张艳辉,徐坤,郑春花,冯伟,徐国卿.智能电动汽车信息感知技术研究进展[J].仪器仪表学报,2017,38(4):794-805

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  • 在线发布日期: 2017-07-19
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