Online Prediction of Battery Electric Vehicle Energy Consumption
作者： Jiquan Wang , Igo Besselink , Henk Nijmeijer
DOI: 10.3390/WEVJ8010213
关键词:
摘要: The energy consumption of battery electric vehicles (BEVs) depends on a number factors, such as vehicle characteristics, driving behavior, route information, traffic states and weather conditions. variance these factors the correlation among each other make prediction BEVs difficult. This paper presents an online algorithm to adjust during driving. It includes parameter estimation behavior correction algorithm. can assess mass rolling resistance based current considers influence wind road slope. is verified by 21 tests, including highway, city, rural hilly area tests. comparison shows that mean absolute percentage error between actual value result within 5% for every test.
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