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Research on Intelligent Power Management and Control Technology of Electric Vehicle Based on Edge Computing

机译:基于边缘计算的电动车智能电力管理与控制技术研究

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With the development of smart grid, Internet of things devices are widely used in the field of power management and control. The diversity of IOT equipment types, characteristics and functions not only integrates detailed big data, but also challenges the real-time, compatibility and big data processing ability of system management and control. Among them, electric vehicle is a kind of electrical equipment with random power consumption and strong impact in the current power grid. This paper studies an embedded edge computing technology in the power Internet of things system, proposes an implementation scheme of edge computing based on vehicle terminal, and designs a vehicle terminal hardware platform with ArmCortex-A7 and EMMC as the computing core, which is based on Embedded Linux system and socket virtual machine. The technology develops an edge computing platform to meet the simultaneous operation of multiple data applications, processes the massive intelligent power consumption data of electric vehicles nearby, avoids the communication channel blockage caused by massive data transmission, and meets the special requirements of power Internet of things for rapid response and accurate execution. Experiments show that the proposed technology can not only provide safe and fast control mode, but also make the system have stronger power consumption information big data acquisition ability, and has advantages in low bandwidth and low delay applications.
机译:随着智能电网的发展,物联网设备广泛用于电源管理和控制领域。物联网设备类型,特征和功能的多样性不仅集成了详细的大数据,还挑战了系统管理和控制的实时,兼容性和大数据处理能力。其中,电动车是一种具有随机功耗和电流电网的强烈冲击的电气设备。本文研究了物联网系统中的嵌入式边缘计算技术系统,提出了基于车辆终端的边缘计算的实现方案,并设计了具有ARMCortex-A7和EMMC作为计算核心的车辆终端硬件平台,这是基于的嵌入式Linux系统和套接字虚拟机。该技术开发了一个优势计算平台,以满足多个数据应用的同时操作,处理附近电动车的大规模智能功耗数据,避免了由大规模数据传输引起的通信通道阻塞,并满足电网的特殊要求快速响应和准确执行。实验表明,该技术不仅可以提供安全快速的控制模式,还使系统具有更强的功耗信息大数据采集能力,并且具有低带宽和低延迟应用的优势。

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