Charge and Discharge cycle pattern
收藏IEEE2019-10-14 更新2026-04-17 收录
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https://ieee-dataport.org/documents/charge-and-discharge-cycle-pattern
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资源简介:
This 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 where the battery is used to absorb extra energy from the PV panel and release this when the tariff is highest. 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. It is important to be able to take the data generated in the 6 use cases over the course of the year and produce application-specific battery systems cycle testing to help get an indication of life span. The process around this is typical:1. Quantify the charge/discharge test profile associated with each application2. Develop accelerated ageing tests around the profile.The process is complicated by the processes around ageing and degradation. This includes the yearlong data that is turned into sweat test curves that represent the typical usage that the batteries could see over a year-long period of their life. 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.
提供机构:
Loughborough University; PowerVault
创建时间:
2019-10-14



