Characterisation of batteries with E–P-curves: Quantifying the impact of operating conditions on battery performance. (July 2018)
- Record Type:
- Journal Article
- Title:
- Characterisation of batteries with E–P-curves: Quantifying the impact of operating conditions on battery performance. (July 2018)
- Main Title:
- Characterisation of batteries with E–P-curves: Quantifying the impact of operating conditions on battery performance
- Authors:
- Sarpal, Ishwar Singh
Bensmann, Astrid
Mähliß, Jochen
Hennefeld, Dominik
Hanke-Rauschenbach, Richard - Abstract:
- Highlights: Battery performance characterisation with Ragone plots in absolute coordinates. Charge and Discharge characteristics for different initial state of charge. Influences of operating conditions on the energy-power relation are quantified. Most impact on battery performance is given for the max. discharge current. Abstract: Batteries find their application in various fields. The resulting requirements are characterised in terms of necessary power and energy. In this paper, we suggest to characterise batteries in the same coordinates by determining the energy for varying load power. The resulting E – P -curves can help to compare different cells in the relevant aspects and can be used to design battery storage systems. Therefore, we show the influence of different operating parameters on the charging as well as the discharging behaviour. These are the minimum voltage, the maximum discharge current, the maximum operating as well as the ambient temperature and the initial state of charge. If it is allowed to discharge the battery with a peak current for a short time, the influence can be quantified by the suggested method as well. The method is illustrated by taking different lithium-ion batteries as examples.
- Is Part Of:
- International journal of electrical power & energy systems. Volume 99(2018)
- Journal:
- International journal of electrical power & energy systems
- Issue:
- Volume 99(2018)
- Issue Display:
- Volume 99, Issue 2018 (2018)
- Year:
- 2018
- Volume:
- 99
- Issue:
- 2018
- Issue Sort Value:
- 2018-0099-2018-0000
- Page Start:
- 722
- Page End:
- 732
- Publication Date:
- 2018-07
- Subjects:
- Ragone diagram -- E–P-curve -- Li-ion battery -- Battery performance -- Battery characterisation
Electrical engineering -- Periodicals
Electric power systems -- Periodicals
Électrotechnique -- Périodiques
Réseaux électriques (Énergie) -- Périodiques
Electric power systems
Electrical engineering
Periodicals
621.3 - Journal URLs:
- http://www.sciencedirect.com/science/journal/01420615 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.ijepes.2018.01.017 ↗
- Languages:
- English
- ISSNs:
- 0142-0615
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4542.220000
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- 11394.xml