冲向充电,死去驾驶:将最后期限冲动模型应用于电动汽车用户的充电行为
Mehrsa Khaleghikarahrodi1, Gretchen A Macht1
1University of Rhode Island, Kingston, RI, USA.
Human factors
|March 6, 2024
概括
大约三分之一的经常使用电动汽车 (EV) 的用户表现出类似拖延的充电行为,等待电池几乎耗尽. 这一发现影响了电动汽车基础设施规划和用户管理.
科学领域:
- 运输科学 运输科学
- 行为经济学是一种行为经济学.
- 电动汽车技术 电动汽车技术
背景情况:
- 人类的拖延是各种领域的记录良好的现象.
- 之前的研究并没有专门研究电动汽车 (EV) 用户之间的拖延.
- 了解用户行为对于优化电动汽车充电基础设施至关重要.
研究的目的:
- 估计电动汽车 (EV) 用户中表现出拖延式充电行为的比例.
- 分析与延迟充电决定相关的充电模式.
- 为制定有效的电动汽车充电策略提供信息.
主要方法:
- 分析了罗德岛69个公共充电站的70,611个充电事件.
- 应用最后期限冲动模型来描述常见的电动汽车用户充电配置文件.
- 实施贝叶斯混合模型来对用户行为进行可靠的估计.
主要成果:
- 贝叶斯混合模型表明,大约三分之一的常用电动汽车用户表现出类似拖延的充电行为.
- 被认定为拖延者的用户通常具有较小的电池容量.
- 这种行为被估计使用贝叶斯模型中的信息先验.
结论:
- 一些电动汽车用户的拖延式充电行为,特别是那些电池较小的用户,可能会导致系统拥堵.
- 对于电动汽车基础设施利益相关者来说,认识到各种充电行为是必不可少的,以提高网络可靠性和减少采用障碍.
- 这些发现为电动汽车需求模式提供了新的见解,影响了未来的基础设施规划和优化,以满足各种用户需求.
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