电动汽车的能源消耗显示:对估计消耗的差异影响和经历的能源动力学意识
Markus Gödker1, Vivien E Moll1, Thomas Franke1
1University of Lübeck, Germany.
Human factors
|January 9, 2024
概括
能源消耗显示显著影响驾驶员经验丰富的能源动态意识 (EDA),跟踪显示显示最有效. 然而,在估计消耗或识别高效行程方面,显示器类型的性能并没有得到改善.
科学领域:
- 人与计算机的互动.
- 可持续的能源系统可持续的能源系统
- 认知心理学 认知心理学
背景情况:
- 能源效率对于可持续的技术系统至关重要.
- 优化电动汽车 (EV) 的能源使用需要精确的能源动态意识 (EDA).
- 人类行为显著影响电动汽车的能源消耗.
研究的目的:
- 为了评估三个能源消耗显示设计对EDA的影响.
- 评估显示信息价值如何影响经验丰富的EDA,消费估计和高效的旅行识别.
- 为电动汽车中的能源显示器提供设计指南.
主要方法:
- 一个在线实验,82名参与者观看标准化的电动汽车驾驶场景与不同的能源显示.
- 使用新的尺度 (经验丰富的EDA) 和基于绩效的指标 (消费估计,高效旅行识别) 测量EDA.
- 基于其信息内容的三个不同的能源显示设计的比较.
主要成果:
- 显示器类型显著影响了经验丰富的EDA,跟踪显示器显示了最高的支持.
- 新开发的EDA比例表显示出良好的内部一致性.
- 没有观察到显示器类型对消费估计或有效旅行识别有显著影响.
结论:
- 具有更高信息价值的显示器可以立即增强经验丰富的EDA.
- 提高与能源效率相关的驾驶性能可能需要更多的时间和培训.
- 需要进一步的研究来理解EDA中的认知过程,并优化显示设计元素.
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