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Battery loss prediction using various loss models: A case study for a residential building
RISE Research Institutes of Sweden, Built Environment, Energy and Resources. Chalmers University of Technology, Sweden.ORCID iD: 0000-0001-6060-5624
Chalmers University of Technology, Sweden.
RISE Research Institutes of Sweden, Safety and Transport, Measurement Technology.ORCID iD: 0000-0003-3608-5264
RISE Research Institutes of Sweden, Built Environment, Energy and Resources.ORCID iD: 0000-0001-8253-7490
2023 (English)In: Journal of Energy Storage, ISSN 2352-152X, E-ISSN 2352-1538, Vol. 70, article id 108048Article in journal (Refereed) Published
Abstract [en]

This work compares and quantifies the annual losses for three battery system loss representations in a case study for a residential building with solar photovoltaic (PV). Two loss representations consider the varying operating conditions and use the measured performance of battery power electronic converters (PECs) but differ in using either a constant or current-dependent internal battery cell resistance. The third representation is load-independent and uses a (fixed) round trip efficiency. The work uses sub-hourly measurements of the load and PV profiles and includes the results from varying PV and battery size combinations. The results reveal an inadequacy of using a constant battery internal resistance and quantify the annual loss discrepancy to −38.6%, compared to a case with current-dependent internal resistance. The results also show the flaw of modelling the battery system’s efficiency with a fixed round trip efficiency, with loss discrepancy variation between −5 to 17% depending on the scenario. Furthermore, the necessity of accounting for the cell’s loss is highlighted, and its dependence on converter loading is quantified.

Place, publisher, year, edition, pages
2023. Vol. 70, article id 108048
Keywords [en]
Battery energy storage system, Lithium-ion batteries, Solar photovoltaic system, Battery performance, Applied research
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:ri:diva-65662DOI: 10.1016/j.est.2023.108048OAI: oai:DiVA.org:ri-65662DiVA, id: diva2:1782250
Funder
Swedish Energy Agency, 43276-1Swedish Energy Agency, 47273-1Swedish Energy Agency
Note

Funded by the Swedish Energy Agency (’’Energimyndigheten’’) through grant numbers: 43276-1 and 47273-1.

Available from: 2023-07-12 Created: 2023-07-12 Last updated: 2023-08-28Bibliographically approved

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Ollas, PatrikPersson, MattiasMarkusson, Caroline

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