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- W3003913144 abstract "Battery energy storage systems have been widely used especially with renewable energy resources. This will lead to irregular cycling operations of the battery. Thus, it is very important in planning and operations of energy storage to model battery degradation and the cost associated with it. In this paper, a simple degradation model of the battery is developed considering cycle aging. An aging factor which is dependent on Depth of Discharge (DoD) is derived for a Lithium Nickel Manganese Cobalt Oxide (NMC) battery using accelerated aging test data. The model developed is validated using measured degradation data. Further models for other types of lithium-ion battery chemistries are illustrated. Main objective is to provide a universal degradation model that can be used to evaluate the battery aging and required size based on a known power profile." @default.
- W3003913144 created "2020-02-07" @default.
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- W3003913144 date "2019-08-01" @default.
- W3003913144 modified "2023-09-26" @default.
- W3003913144 title "Online Power Profile Based Universal Battery Degradation Methodology Suitable for Various Battery Types" @default.
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- W3003913144 doi "https://doi.org/10.1109/pesgm40551.2019.8973857" @default.
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