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技工院校智能网联汽车专业人才需求与培养分析 被引量:1

Analysis on the Demand and Training of Intelligent Networked Automobile Professionals in Technical Colleges
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摘要 2020年11月,国务院批准了工信部拟定的《新能源汽车产业发展规划(2021-2035)》,将坚持新能源汽车电动化、网联化、智能化发展方向。以新能源汽车为智能网联技术率先应用的载体,实施智能网联技术创新工程。与企业跨界协同,共同研发复杂环境融合感知、智能网联决策与控制、信息物理系统架构设计等关键技术,突破车载智能计算平台、高精度地图与定位、车辆与车外其他设备间的无线通信、线控执行系统等核心技术壁垒。在今后相当长的一段时间内,智能网联汽车将呈现快速发展趋势。产业的发展离不开人才的支撑,智能网联汽车产业人才培养是影响产业发展的重要因素。这其中,技工院校作为人才培育基地,对我国智能网联汽车人才的培养与发展有着不可忽视的重要作用。 In November 2020,the State Council approved the "New Energy Vehicle Industry Development Plan" formulated by the Ministry of Industry and Information Technology (2021-2035)",which adheres to the electrification,networking,and intelligent development direction of new energy vehicles.Taking new energy vehicles as the carrier of the first application of intelligent network technology,is helpful to the implement of the innovation project of intelligent network technology.Collaborating with enterprises across borders to jointly develop key technologies such as integrated perception of complex environments,intelligent networked decision-making and control,and cyber-physical system architecture design,can make breakthroughs in core technical barriers such as communication and wire-controlled execution systems of vehicle-mounted intelligent computing platforms,high-precision maps and positioning,and wireless communication between vehicles and other devices outside the vehicle.For a long period of time in the future,intelligent networked vehicles will show a rapid development trend.The development of the industry is inseparable from the support of talents,and the cultivation of talents in the intelligent networked automobile industry is an important factor affecting the development of the industry.Among them,technical colleges,as talent cultivation bases,play an important role in the cultivation and development of intelligent networked vehicle talents in China.
作者 张春虎 Zhang Chunhu
出处 《时代汽车》 2022年第10期99-100,共2页 Auto Time
关键词 技工院校 智能网联汽车 人才需求 人才培养 technical colleges intelligent networked vehicles talent demand talent training
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