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作 者:刘苏仪 LIU Suyi(School of Electronics and Control Engineering,Chang′an University,Xi′an 710018,China)
机构地区:[1]长安大学电子与控制工程学院,陕西西安710018
出 处:《仪表技术》2025年第2期34-37,40,共5页Instrumentation Technology
摘 要:以全国大学生智能车竞赛为背景,针对无线充电智能车所需实现的功能及性能指标要求,提出了一个实现方案。以英飞凌TC264D单片机为主控制器,以超级电容组为储能装置,通过充电线圈检测模块检测智能车与无线充电发射线圈的相对位置关系,进而控制智能车在充电时的精准停车位置以提高充电效率;通过MT9V034摄像头检测赛道图像,采用边界识别算法拟合虚拟中线算法,对图像进行处理并提取出赛道元素信息;通过赛道元素信息处理策略得出智能车的控制规律,实现自主寻迹运行。在搭建的赛道上对智能车实物进行测试,结果表明,该智能车具有停车精准度高、充电效率高、寻迹速度快等优点。Taking the National College Student Intelligent Vehicle Competition as the background,an implementa-tion plan is proposed according to the function and performance requirements of wireless charging intelligent vehicles.Using Infineon TC264D microcontroller as the main controller and supercapacitor group as the energy storage device,the relative position relationship between the intelligent vehicle and the wireless charging transmission coil is detected through the charging coil detection module,and then the precise parking position of the intelligent vehicle during charging is controlled to improve charging efficiency.By using the MT9V034 camera to detect track images,the boundary recognition algorithm is used to fit the virtual centerline algorithm,and the image is processed to extract track element information.The control law of the intelligent car is obtained through the track element information processing strategy to achieve autonomous tracking operation.The physical testing of the intelligent car on the constructed track showed that it has the advantages of high parking accuracy,high charging efficiency,and fast tracking speed.
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