以数据为导向的电动汽车能耗评估,以将标准测试推广到现实驾驶环境中
Xinmei Yuan1,2,3, Jiangbiao He4, Yutong Li5
1State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130025, China.
Patterns (New York, N.Y.)
|April 22, 2024
概括
标准化电池电动汽车 (BEV) 能耗测试需要改进. 本研究引入了一种数据驱动的方法,以准确评估BEV在各种驾驶条件下的能源使用,从而提高透明度.
科学领域:
- 汽车工程 汽车工程
- 可持续的运输可持续的运输
- 数据科学数据科学数据科学
背景情况:
- 电池电动汽车 (BEV) 的标准化能源消耗测试缺乏现实世界的准确性.
- 这些差异阻碍了精确的能源和环境评估,影响了BEV的采用.
- 目前的测试方法不能完全考虑不同的驾驶概况.
研究的目的:
- 为标准的BEV能耗测试开发数据驱动的评估方法.
- 提高能源消耗评估在不同驾驶条件下的通用性.
- 为了提高BEV能源消耗数据的透明度和可靠性.
主要方法:
- 提出了一种数据驱动的评估方法来描述BEV的能源消耗.
- 从能源消耗数据中脱离了驾驶概况的影响.
- 使用标准化测试周期和现实驾驶数据验证了该方法.
主要成果:
- 在标准化测试周期中获得了3.84%的估计误差.
- 在各种真实世界的驾驶旅行中达到7.12%的估计误差.
- 在各种驾驶条件下证明了该方法的通用性.
结论:
- 拟议的方法提供了一个可靠的BEV能源消耗基本模型.
- 这种方法可以大大提高公众对BEV能源效率的认识.
- 准确的能源消耗数据对于电动汽车行业的持续增长至关重要.
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