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基于大数据技术的新能源汽车充电行为分析

Analysis of Charging Behavior of New Energy Vehicles Based on Big Data Technology

  • 摘要: 本研究旨在深入分析亦庄地区充电站客户的充电行为,以期优化充电设施布局、提高充电站的服务效率,并满足日益增长的电动汽车充电需求。通过收集并分析客户在充电时间、充电地点选择以及个人充电习惯等方面的数据,揭示了客户充电行为的主要特征和影响因素。研究发现,客户的充电行为受日常出行模式、电动汽车续航里程以及充电设施的便利性和服务质量等多重因素共同影响。本研究不仅为充电站运营者提供了关于客户需求的深入洞察,还为未来充电设施的规划和运营策略提供了科学依据,有助于推动电动汽车行业的可持续发展。

     

    Abstract: This study aims to conduct an in-depth analysis of the charging behavior of customers at charging stations in the Yizhuang area, with the goal of optimizing the layout of charging facilities, improving the operational efficiency of charging stations, and meeting the rapidly growing demand for electric vehicle (EV) charging. By collecting and analyzing data on customers’ charging time, location preferences, and individual charging habits, this study identifies the key characteristics and influencing factors of their charging behavior. The results indicate that customer charging behavior is jointly influenced by multiple factors, such as daily travel patterns, vehicle driving range, and the accessibility and service quality of charging facilities. This study not only provides charging station operators with valuable insights into customer needs but also offers a scientific foundation for the planning and management of future charging infrastructure, thereby contributing to the sustainable development of the EV industry.

     

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