Strickland_08831390.pdf (7.75 MB)
Sweat testing cycles of batteries for different electrical power applications
journal contribution
posted on 2019-09-24, 09:03 authored by Mina Abedi-Varnosfaderani, Dani StricklandDani Strickland, M Ruse, E Brana CastilloThis paper looks at six different applications for a domestically located battery system and
determines how these could be translated into different electrical power application “drive” cycles. The
applications considered are as follows: 1) A house with four people and a solar panel using the battery to
absorb extra energy when the PV panel is producing more power than is absorbed in the house and then
releasing this energy afterwards. 2) A house with four people and PV panels on a time of use tariff. 3) A
house with four people and no PV on a time of use Tariff – where the battery is charged at low tariff and
discharged on high tariff. 4) The battery is operating as part of an aggregated frequency response system
performing on the Firm Frequency Response (FFR) market. 5)The battery is operating as part of an
aggregated frequency response system performing on the Enhanced Frequency Response (EFR) market. 6)
The battery is operating as part of an aggregated system looking at competing in the day ahead market. This
paper describes each use cases and developes a representative charge/discharge profile of these applications
using MATLAB code and generates waveforms of battery charging and discharging for each use case over a
year-long period in monthly intervals. Any time intervals where the battery was inactive were removed from
the generation of the cycling patterns. Two statistical analysis methods (Haar transform and a pragmatic
method) were used to condense the data into programmable steps for generating battery sweat testing and
cycling model. These were then coded and used to generate year-long sweat testing of the different
applications for use with degradation and financial analysis to look at business opportunities. This paper
looks at the development of the charge and discharge profiles of these applications and defines a set of power
application “drive” cycles which are published in excel alongside this paper for use by researchers longing at
battery degradation.
Funding
Innovate UK/EPSRC ref: 104171
History
School
- Mechanical, Electrical and Manufacturing Engineering
Research Unit
- Centre for Renewable Energy Systems Technology (CREST)
Published in
IEEE AccessVolume
7Pages
132333 - 132342Publisher
Institute of Electrical and Electronics Engineers (IEEE)Version
- VoR (Version of Record)
Publisher statement
This is an Open Access Article. It is published by IEEE under the Creative Commons Attribution 4.0 Unported Licence (CC BY). Full details of this licence are available at: http://creativecommons.org/licenses/by/4.0/Acceptance date
2019-09-06Publication date
2019-09-11Copyright date
2019eISSN
2169-3536Publisher version
Language
- en
Depositor
Dr Dani StricklandUsage metrics
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