Measurements and modelling of the response of an ultrasonic pulse to a lithium-ion battery as a precursor for state of charge estimation

被引:54
|
作者
Copley, R. J. [1 ]
Cumming, D. [2 ]
Wu, Y. [2 ]
Dwyer-Joyce, R. S. [1 ]
机构
[1] Univ Sheffield, Dept Mech Engn, Leonardo Ctr Tribol, Sheffield, S Yorkshire, England
[2] Univ Sheffield, Dept Chem & Biol Engn, Sheffield, S Yorkshire, England
来源
JOURNAL OF ENERGY STORAGE | 2021年 / 36卷
基金
英国工程与自然科学研究理事会;
关键词
Lithium-ion battery; Ultrasonic sensing; State of charge;
D O I
10.1016/j.est.2021.102406
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Lithium-ion batteries change their internal state during cycles of charge and discharge. The state of charge of a lithium-ion battery varies during the charging cycle and depends on the internal structure of the components which may degrade with use. Estimation of the state of charge is commonly performed by battery management systems that rely on charge counting and cell voltage measurement. Determining the physical state of the battery components is challenging. Recently, the response of an ultrasonic pulse to a battery has been successfully correlated with both change in state of charge and state of health, the quality of the approach is now well established. This study assesses the qualities contained within an ultrasound signal response by investigating the behaviour of ultrasonic waves as they pass through the components in a layered battery structure, as those components change with battery charge. A model has been developed to understand the nature of the ultrasound response and the features that provide a particular characteristic. This is useful as two apparently identical batteries can produce very different ultrasonic responses. Detailed data analysis has been performed to find which combination of data comparisons provides the strongest correlation with state of charge and guides decisions about future use of battery monitoring using ultrasound. Finally, a smart peak selection method has been developed to ensure that regardless of the nature of the ultrasound response, state of charge measurements are optimised by ensuring the regions of signal with best battery charge correlation are identified. This can greatly help with the automation of the process in a sensor-based battery management system.
引用
收藏
页数:16
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