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- W4282927729 abstract "A growing interest in the study of aging related phenomena in lithium-ion batteries is propelled by the increasing utilization of energy storage systems in electric vehicles and in buildings as stationery energy accumulators paired with renewable energy sources. This paper proposes a mixed-degradation model approach that combines the benefits of a semi-empirical approach with that of a physics-based model. This enables easy calibration for different battery chemistries, the ability to extrapolate when necessary, and is computationally efficient enough to be coupled with real-time running control systems. To demonstrate the effectiveness of the proposed approach, the effect of two different control strategies in a smart home energy management system is demonstrated on the aging of a Lithium iron phosphate (LFP) battery." @default.
- W4282927729 created "2022-06-16" @default.
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- W4282927729 date "2022-06-13" @default.
- W4282927729 modified "2023-09-30" @default.
- W4282927729 title "A Semi Empirical Approach to a Physically Based Aging Model for Home Energy Management Systems" @default.
- W4282927729 doi "https://doi.org/10.48550/arxiv.2206.06158" @default.
- W4282927729 hasPublicationYear "2022" @default.
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