five

BEV energy dynamics dataset

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DataCite Commons2025-09-04 更新2026-05-03 收录
下载链接:
https://rdr.kuleuven.be/citation?persistentId=doi:10.48804/8KPDTW
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资源简介:
This dataset comprises high-resolution (1-second) time-series measurements of actual energy values associated with a battery electric vehicle, including the charger, the battery system, and auxiliary devices. It captures energy behavior across various operational modes—charging, driving, and parking—under diverse operational conditions. By providing a detailed view of energy distribution, this dataset enables a range of analytical and practical applications, such as optimizing smart charging strategies, reducing operational costs, analyzing usage patterns, improving the efficiency of high energy-consuming components, developing AI-based predictive models, and assessing the vehicle’s impact on the power grid. Overall, it offers a rich foundation for advancing research in electric mobility, energy efficiency, and intelligent energy management.
提供机构:
KU Leuven RDR
创建时间:
2025-06-25
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