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/ Autonomous intelligent High speed high efficient and high robust charging method for pickup of single or multiple vehicles

机译:/自主智能的高速高效高鲁棒性充电方法,用于单人或多人车辆的提取

摘要

The present invention relates to an autonomous intelligent high-speed, high-efficiency and high-robust charging method for pickup of single or multiple vehicles. The autonomous intelligent high-speed, high-efficiency and high-robust charging method for pickup of single or multiple vehicles includes storing magnetic field measurements or variations, or current measurements or variations in the x, y and z directions, and analyzing the same by a deep learning method in the existing learning system to guide pickup of an entering vehicle and a charging pad to be aligned well with each other, when it is required to allow high-speed, high-efficiency and high-robust charging. In addition, the method includes storing magnetic field measurements or variations, or current measurements or variations in the x, y and z directions when a vehicle enters or leaves, analyzing the same by a deep learning method in the existing learning system, and requiring realignment after reentering when a non-alignment error is large, or requiring adjustment of current extent and phase of a multi-coil in the charging infra, requiring adjustment of working frequency, or selecting an optimal coil of pickup, when a non-alignment error is small, thereby assisting high-robust, high-speed and high-efficiency charging.
机译:本发明涉及一种用于拾取单个或多个车辆的自主智能的高速,高效且鲁棒的充电方法。用于拾取单个或多个车辆的自主智能的高速,高效和鲁棒性充电方法,包括存储磁场测量值或变化量,或x,y和z方向上的电流测量值或变化量,并通过以下方法进行分析当需要允许高速,高效率和高鲁棒性充电时,在现有学习系统中的一种深度学习方法,用于引导进入的车辆的拾取和充电板彼此对齐。另外,该方法包括:当车辆进入或离开时,存储在x,y和z方向上的磁场测量或变化,或电流测量或变化,在现有学习系统中通过深度学习方法对其进行分析,并且需要重新对齐当重新对准误差较大时,或者重新调整充电基础中的多线圈的电流范围和相位,需要调整工作频率,或者选择最佳拾波线圈时,重新对准体积小,从而有助于进行高强度,高速和高效率的充电。

著录项

  • 公开/公告号KR20200043700A

    专利类型

  • 公开/公告日2020-04-28

    原文格式PDF

  • 申请/专利权人 WIPOWERONE.LNC;

    申请/专利号KR20180124377

  • 发明设计人 CHO DONG HO;KIM JE WOO;

    申请日2018-10-18

  • 分类号B60L50/50;H02J50/12;

  • 国家 KR

  • 入库时间 2022-08-21 11:07:17

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