Online Electrochemical Impedance Spectroscopy (EIS) estimation of a solar panel
Electrochemical Impedance Spectroscopy (EIS) techniques are useful tools for being able to look at the characterisation of solar panels under different conditions and/or with different material components. However EIS analysis is mostly undertaken offline with bespoke equipment. This paper describes...
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rr-article-95694412017-01-16T00:00:00Z Online Electrochemical Impedance Spectroscopy (EIS) estimation of a solar panel Mina Abedi Varnosfaderani (7208873) Dani Strickland (3831724) Mechanical engineering not elsewhere classified Solar panel Dc-dc converters Frequency analysis Electrochemical impedance spectroscopy (EIS) Mechanical Engineering not elsewhere classified Electrochemical Impedance Spectroscopy (EIS) techniques are useful tools for being able to look at the characterisation of solar panels under different conditions and/or with different material components. However EIS analysis is mostly undertaken offline with bespoke equipment. This paper describes a method of undertaking EIS measurement on-line without the use of additional equipment by manipulating the control of the solar panel connected dc-dc power electronic converter. The power electronic control is used to inject an additional low-frequency signal into the circuit and then sweep this frequency across a range to replicate the functionality of the EIS without the need for a separate excitation circuit while maintaining full operational functionality. This paper describes the methodology and presents some experimental results compared with EIS results under the same conditions to illustrate the concept. 2017-01-16T00:00:00Z Text Journal contribution 2134/24946 https://figshare.com/articles/journal_contribution/Online_Electrochemical_Impedance_Spectroscopy_EIS_estimation_of_a_solar_panel/9569441 CC BY-NC-ND 4.0 |
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Mechanical engineering not elsewhere classified Solar panel Dc-dc converters Frequency analysis Electrochemical impedance spectroscopy (EIS) Mechanical Engineering not elsewhere classified |
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Mechanical engineering not elsewhere classified Solar panel Dc-dc converters Frequency analysis Electrochemical impedance spectroscopy (EIS) Mechanical Engineering not elsewhere classified Mina Abedi Varnosfaderani Dani Strickland Online Electrochemical Impedance Spectroscopy (EIS) estimation of a solar panel |
description |
Electrochemical Impedance Spectroscopy (EIS) techniques are useful tools for being able to look at the characterisation of solar panels under different conditions and/or with different material components. However EIS analysis is mostly undertaken offline with bespoke equipment. This paper describes a method of undertaking EIS measurement on-line without the use of additional equipment by manipulating the control of the solar panel connected dc-dc power electronic converter. The power electronic control is used to inject an additional low-frequency signal into the circuit and then sweep this frequency across a range to replicate the functionality of the EIS without the need for a separate excitation circuit while maintaining full operational functionality. This paper describes the methodology and presents some experimental results compared with EIS results under the same conditions to illustrate the concept. |
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Default Article |
author |
Mina Abedi Varnosfaderani Dani Strickland |
author_facet |
Mina Abedi Varnosfaderani Dani Strickland |
author_sort |
Mina Abedi Varnosfaderani (7208873) |
title |
Online Electrochemical Impedance Spectroscopy (EIS) estimation of a solar panel |
title_short |
Online Electrochemical Impedance Spectroscopy (EIS) estimation of a solar panel |
title_full |
Online Electrochemical Impedance Spectroscopy (EIS) estimation of a solar panel |
title_fullStr |
Online Electrochemical Impedance Spectroscopy (EIS) estimation of a solar panel |
title_full_unstemmed |
Online Electrochemical Impedance Spectroscopy (EIS) estimation of a solar panel |
title_sort |
online electrochemical impedance spectroscopy (eis) estimation of a solar panel |
publishDate |
2017 |
url |
https://hdl.handle.net/2134/24946 |
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1794749383162462208 |