中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
An Advanced Prediction Mechanism to Analyse Pore Geometry Shapes and Identification of Blocking Effect in VRLA Battery System

文献类型:期刊论文

作者Alessandro Mariani2; Kary Thanapalan1 Peter Stevenson1; Jonathan Williams2
刊名International Journal of Automation and Computing
出版日期2017
卷号14期号:1页码:21-32
关键词Positive active material crystal structure valve regulated lead acid (VRLA) batteries modelling, estimation and recovery techniques.
ISSN号1476-8186
DOI10.1007/s11633-016-1040-0
文献子类IJAC-IA-2016-01-022.pdf
英文摘要The aim of this investigation is to define a model of an alternating current impedance response that can identify the state of health of a porous electrode due to the blocked diffusion effect. To identify and simulate different pore geometries, an analytical differential equations system was studied. Standard and low performance battery products were simulated by the model and validated with electrochemical impedance spectroscopy (EIS) experimental data. The correlation between pore structure geometries and the related battery effeciency is also addressed. This investigation may clarify the possible reasons for low performance batteries. Identifying the benchmark pore geometry, parameters may be useful for the battery producers to improve the effeciency of their products. Various recovery methods are also included in this investigation to disperse the build-up of lead sulphate crystal that limits the electrolysis process in the low performance batteries.
源URL[http://ir.ia.ac.cn/handle/173211/42463]  
专题自动化研究所_学术期刊_International Journal of Automation and Computing
作者单位1.Yuasa Battery (UK) Ltd, Rassau Industrial Estate, Ebbw Vale NP23 5SD, UK
2.Faculty of Computing, Engineering and Science, University of South Wales, Pontypridd CF37 1DL, UK
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Alessandro Mariani,Kary Thanapalan1 Peter Stevenson,Jonathan Williams. An Advanced Prediction Mechanism to Analyse Pore Geometry Shapes and Identification of Blocking Effect in VRLA Battery System[J]. International Journal of Automation and Computing,2017,14(1):21-32.
APA Alessandro Mariani,Kary Thanapalan1 Peter Stevenson,&Jonathan Williams.(2017).An Advanced Prediction Mechanism to Analyse Pore Geometry Shapes and Identification of Blocking Effect in VRLA Battery System.International Journal of Automation and Computing,14(1),21-32.
MLA Alessandro Mariani,et al."An Advanced Prediction Mechanism to Analyse Pore Geometry Shapes and Identification of Blocking Effect in VRLA Battery System".International Journal of Automation and Computing 14.1(2017):21-32.

入库方式: OAI收割

来源:自动化研究所

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