数据表
内阻
电池(电)
电压
锂离子电池
计算机科学
锂(药物)
能量(信号处理)
储能
汽车工程
可靠性工程
电子工程
电气工程
工程类
功率(物理)
物理
医学
量子力学
内分泌学
作者
Fabian Steger,Jonathan Krogh,Lasantha Meegahapola,Hans‐Georg Schweiger
出处
期刊:Energies
[Multidisciplinary Digital Publishing Institute]
日期:2022-10-25
卷期号:15 (21): 7902-7902
被引量:3
摘要
The design and operation of performant and safe electric vehicles depend on precise knowledge of the behavior of their electrochemical energy storage systems. The performance of the battery management systems often relies on the discrete-time battery models, which can correctly emulate the battery characteristics. Among the available methods, electric circuit-based equations have shown to be especially useful in describing the electrical characteristics of batteries. To overcome the existing drawbacks, such as discrete-time simulations for parameter estimation and the usage of look-up tables, a set of equations has been developed in this study that solely relies on the open-circuit voltage and the internal resistance of a battery. The parameters can be obtained from typical cell datasheets or can be easily extracted via standard measurements. The proposed equations allow for the direct analytical determination of available discharge capacity and the available energy content depending on the discharge current, as well as the Peukert exponent. The fidelity of the proposed system was validated experimentally using 18650 NMC and LFP lithium-ion cells, and the results are in close agreement with the datasheet.
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