Discharge Capacity Estimation for Lithium–Ion Battery Packs with Cells in Parallel Connection Based on Current Prediction of In‐Pack Cells. Issue 8 (8th March 2017)
- Record Type:
- Journal Article
- Title:
- Discharge Capacity Estimation for Lithium–Ion Battery Packs with Cells in Parallel Connection Based on Current Prediction of In‐Pack Cells. Issue 8 (8th March 2017)
- Main Title:
- Discharge Capacity Estimation for Lithium–Ion Battery Packs with Cells in Parallel Connection Based on Current Prediction of In‐Pack Cells
- Authors:
- Cheng, Long
Sun, Quan - Abstract:
- Abstract: Discharge capacity estimation for battery packs is one of the most essential issues of battery management systems. Precision of the estimation will affect maintenance policy and reliability estimation of the battery packs. Due to different manufacturing processes and use conditions, the performance of each cell in a battery pack may be significantly different. Such differences mean that a certain amount of capacity is not extracted from the in‐pack cells. For lithium‐ion battery packs with cells connected in parallel, a method is provided herein to predict the discharge current of the cells. Based on this method, an estimation of the discharge capacity of the pack can be obtained. An experiment is then conducted from which the cell current cannot be measured to validate the applicability of the method. The results show that the proposed method can be used to estimate the discharge capacity of battery packs with high accuracy. This method is significant for the grouping of lithium‐ion battery packs, as well as the maintenance and replacement policy of battery packs. Abstract : Full potential : Discharge capacity estimation for battery packs is an essential issue for battery management systems. Precise estimation affects maintenance policies and reliability estimation of the battery packs. A method is provided to predict the discharge current of cells in lithium‐ion battery packs with cells connected in parallel.
- Is Part Of:
- Energy technology. Volume 5:Issue 8(2017:Aug.)
- Journal:
- Energy technology
- Issue:
- Volume 5:Issue 8(2017:Aug.)
- Issue Display:
- Volume 5, Issue 8 (2017)
- Year:
- 2017
- Volume:
- 5
- Issue:
- 8
- Issue Sort Value:
- 2017-0005-0008-0000
- Page Start:
- 1250
- Page End:
- 1256
- Publication Date:
- 2017-03-08
- Subjects:
- battery packs -- current prediction -- discharge capacity -- electrochemistry -- lithium
Energy development -- Periodicals
Power resources -- Periodicals
333.79 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)2194-4296/ ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/ente.201600549 ↗
- Languages:
- English
- ISSNs:
- 2194-4288
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3747.815600
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 8968.xml