Data-driven evaluation of electric vehicle energy consumption for generalizing standard testing to real-world driving

• DOI: 10.1016/j.patter.2024.100950
• Publication Date: 2024-03-08T15:41:19Z
• Authors: Xinmei Yuan; Jiangbiao He; Yutong Li; Yu Liu; Yifan Ma; Bo Bao; Leqi Gu; Lili Li; Hui Zhang; Yucheng Jin; Long Sun
• Keywords: Decoupling (probability); Battery electric vehicle; Consumption

<h2>Summary</h2> Standard energy-consumption testing, providing the only publicly available quantifiable measure of battery electric vehicle (BEV) energy consumption, is crucial for promoting transparency and accountability in electrified automotive industry; however, significant discrepancies between standard testing real-world driving have hindered environmental assessments BEVs their broader adoption. In this study, we propose a data-driven evaluation method to characterize BEV consumption. By decoupling impact profile, our approach generalizable various conditions. experiments with estimating achieve 3.84% estimation error 13 different multiregional standardized test cycles 7.12% 106 diverse trips. Our results highlight great potential proposed public awareness consumption through while also reliable fundamental model BEVs.