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Experiment and simulation study on energy flow characteristics of a battery electric vehicle throughout the entire driving range in low-temperature conditions.

Authors :
Sun, Xilei
Zhou, Feng
Fu, Jianqin
Liu, Jingping
Source :
Energy. Apr2024, Vol. 292, pN.PAG-N.PAG. 1p.
Publication Year :
2024

Abstract

To comprehensively investigate the energy distribution and performance of a battery electric vehicle (BEV), an integrated simulation model based on energy flow test data was developed and validated, and the energy flow characteristics of the BEV throughout the entire driving range in low-temperature conditions were studied. The results show that the battery heat loss and motor energy loss first increase and then decrease with an increment in cycle number, while the transmission loss first decreases and then remains constant. The energy recovery efficiency demonstrates an incremental trend with the number of cycles post-battery charging, while the energy utilization efficiency experiences a decline due to escalating energy losses within the power distribution unit (PDU). The energy flow characteristics of the BEV exhibit a pronounced connection with the speed properties inherent in the driving cycle. The battery charge energy is maximal under Urban Dynamometer Driving Schedule (UDDS), whereas the electricity consumption per 100 km is minimized under China light-duty vehicle test cycle-passenger (CLTC-P). Conversely, the energy utilization and recovery efficiency are the highest under Worldwide Light-duty Test Cycle (WLTC). These findings provide directional insights, theoretical support and data basis for rational performance evaluation and optimal energy distribution of BEVs. [Display omitted] • Energy flow tests for a BEV were conducted in low-temperature conditions. • The integrated simulation model for the BEV was developed and validated. • Energy utilization efficiency decreased with cycles due to the increasing PDU loss. • Vehicle energy flows over entire driving range were related to speed properties. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03605442
Volume :
292
Database :
Academic Search Index
Journal :
Energy
Publication Type :
Academic Journal
Accession number :
175641931
Full Text :
https://doi.org/10.1016/j.energy.2024.130542