2013
DOI: 10.1109/tsg.2013.2272835
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Energy Management for Lifetime Extension of Energy Storage System in Micro-Grid Applications

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Cited by 187 publications
(88 citation statements)
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“…where k P is a constant ranging from 0.8 to 2.1 [12]- [16] and N fail 100 is the number of cycles to failure at 100% DOD. Fig.…”
Section: A Life Modelmentioning
confidence: 99%
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“…where k P is a constant ranging from 0.8 to 2.1 [12]- [16] and N fail 100 is the number of cycles to failure at 100% DOD. Fig.…”
Section: A Life Modelmentioning
confidence: 99%
“…Reference [15] presents a short-term battery storage scheduling model in conjunction with traditional generators considering battery cycle life. Reference [16] applies the battery life model to better manage an energy storage system in microgrids. In [20], battery lifetime is calculated to assess the battery and ultracapacitor ratings in electric vehicles.…”
mentioning
confidence: 99%
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“…The results of these incentives have been solar, wind, and wave energies, which are substituting for conventional sources. On another hand, using current loads such as EV and Personal Computer (PC) based on power electronic have been increased, remarkably [13][14][15]. After finding reliable sources, the next step is to handle these energies and convert them into the electrical energy.…”
Section: Energy Management System In Electric Vehiclementioning
confidence: 99%
“…Meanwhile, the life model can also be used to evaluate BESS control effects. Extended efforts have been made to develop the battery life model [16][17][18][19][20][21], but few studies referred to large-scale BESS for fluctuant power applications. A semiempirical life model for lithium ion cells was established based on a significant amount of experimental data in [16].…”
Section: Introductionmentioning
confidence: 99%