Scientific Development Research
Scientific Development Research . 2025; 5: (2) ; 10.12208/j.sdr.20250069 .
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新疆应用职业技术学院 新疆伊犁哈萨克自治州
*通讯作者: 杨世宇,单位:新疆应用职业技术学院 新疆伊犁哈萨克自治州;
在双碳目标引领与能源结构转型加速的大背景下,如何提升电动汽车充电过程中的能效水平,已成为智慧能源系统研究的重要方向。光伏驱动的7千瓦家用充电枪,作为分布式能源消纳与交通电气化融合的关键节点,其能效优化不仅关系到电动汽车用户的经济成本,也直接影响可再生能源的利用效率与电网负荷的动态平衡。针对当前光伏发电的间歇性与电动汽车充电的随机性不匹配问题,本文基于“捕能”理念,构建以光伏优先、储能协同、电网调平为核心的智能能量管理模型,系统分析7kW充电枪在光储充场景中的工作机制、动态调度策略及能效提升路径,旨在为构建绿色、高效、智能的家庭充电系统提供技术支撑与理论依据。
Under the backdrop of the dual-carbon goal and the accelerated transformation of the energy structure, how to improve the energy efficiency level during the charging process of electric vehicles has become an important direction in the research of smart energy systems. The 7-kilowatt household charging gun driven by photovoltaics, as a key node for the integration of distributed energy consumption and transportation electrification, its energy efficiency optimization not only relates to the economic costs of electric vehicle users, but also directly affects the utilization efficiency of renewable energy and the dynamic balance of grid load. In response to the mismatch between the intermittency of current photovoltaic power generation and the randomness of electric vehicle charging, this paper, based on the "energy capture" concept, constructs an intelligent energy management model centered on photovoltaic priority, energy storage coordination, and grid leveling. It systematically analyzes the working mechanism, dynamic scheduling strategies, and energy efficiency improvement paths of the 7-kilowatt charging gun in the photovoltaic storage charging scenario, aiming to provide technical support and theoretical basis for the construction of a green, efficient, and intelligent home charging system.
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