Multi-Feature Fusion-Based Instantaneous Energy Consumption Estimation for Electric Buses
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影响因子：7.847
DOI码：10.1109/JAS.2022.106010
发表刊物：IEEE/CAA Journal of Automatica Sinica
摘要：This letter presents a multi-feature fusion-based method for estimating the instantaneous energy consumption of electric buses. More specifically, to improve the accuracy of instantaneous energy consumption estimation of electric buses, we propose a new energy consumption estimation method based on random forest regression (RFR) with multi-feature fusion. The multi-feature includes driving behavior, vehicle status, and external environment. The experimental results show that the absolute mean average percentage error (MAPE) value of the method proposed in this paper is 7.10%, which has a higher estimation accuracy than several state-of-the-art methods.
论文类型：期刊论文
学科门类：工学
文献类型：J
卷号：10
期号：10
页面范围：2035–2037
是否译文：否
发表时间：2023-10-01
收录刊物：SCI
发布期刊链接：https://www.ieee-jas.net/en/article/doi/10.1109/JAS.2022.106010