电池(电)
电压
锂离子电池
航程(航空)
荷电状态
计算机科学
差速器(机械装置)
锂(药物)
控制理论(社会学)
电气工程
工程类
功率(物理)
物理
控制(管理)
航空航天工程
人工智能
内分泌学
医学
量子力学
作者
Guangming Liu,Minggao Ouyang,Languang Lu,Jianqiu Li,Xiao Han
标识
DOI:10.1016/j.jpowsour.2014.10.132
摘要
The estimation of battery remaining discharge capacity (QRDC) is essential for the remaining driving range prediction on pure electric vehicles. A traditional QRDC estimation method is based on the determination of battery state of charge (SOC), in which the estimation accuracy could be affected by the variation in discharge conditions. In this research, a novel QRDC estimation method through differential voltage (dV/dQ) analysis is introduced for lithium-ion batteries. Through analyzing the characteristics of terminal voltage variation, the present QRDC could be estimated by the dV/dQ value, which is capable to provide an accurate estimation result under various discharge conditions. On a commercial lithium-ion battery, the dV/dQ method is implemented for QRDC estimation under pulse discharge profiles and dynamic profiles. The result shows that the dV/dQ method could provide accurate QRDC estimation results under various discharge profiles in the latter part of the discharge process, and the QRDC estimation accuracy could hence be improved by combining the differential voltage analysis with the SOC-based method. Owing to the simple computation process, the dV/dQ-based estimation method is very competitive in onboard applications.
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