Reconfigurable battery systems: Challenges and safety solutions using intelligent system framework based on digital twins. Issue 3 (15th August 2022)
- Record Type:
- Journal Article
- Title:
- Reconfigurable battery systems: Challenges and safety solutions using intelligent system framework based on digital twins. Issue 3 (15th August 2022)
- Main Title:
- Reconfigurable battery systems: Challenges and safety solutions using intelligent system framework based on digital twins
- Authors:
- Garg, Akhil
Mou, Jianhui
Su, Shaosen
Gao, Liang - Other Names:
- Li Xinyu guestEditor.
Wen Long guestEditor. - Abstract:
- Abstract: Research on Reconfigurable Battery Systems (RBS) is gaining emphasis over the traditional fixed topology of the battery pack due to its advantages of adapting flexible topology (series‐parallel) during its operation in the pack for meeting the non‐linear time‐dependent load requirements. There could emerge serious issues such as those related to safety due to malfunction of the switching circuit, heat generation from switches during frequent switching of circuits, charging temperature rise, increased charging time, sensing issues arising from the use of low‐accuracy voltage/current sensors, state of charge/state of health estimation, and cost issues due to the use of increasing number of switches, fuses, contactors, relays, circuit breakers etc. To address these mentioned issues, the problem of optimal switching circuit topology for RBS is formulated as a mathematical multi‐objective optimisation problem. An intelligent system framework based on digital twins is proposed. The proposed framework is further extended to a life cycle management approach that includes the interactions among pack design, pack assembly and operational and recycling levels. This could provide greater access of real‐time big data cloud storage to the battery designers, manufacturers and recycling industries, who can make use of it to optimise their designs, systems and operations.
- Is Part Of:
- IET collaborative intelligent manufacturing. Volume 4:Issue 3(2022)
- Journal:
- IET collaborative intelligent manufacturing
- Issue:
- Volume 4:Issue 3(2022)
- Issue Display:
- Volume 4, Issue 3 (2022)
- Year:
- 2022
- Volume:
- 4
- Issue:
- 3
- Issue Sort Value:
- 2022-0004-0003-0000
- Page Start:
- 232
- Page End:
- 248
- Publication Date:
- 2022-08-15
- Subjects:
- Production management -- Periodicals
Production engineering -- Periodicals
Production management
Production engineering
Electronic journals
Periodicals
658.5 - Journal URLs:
- https://digital-library.theiet.org/content/journals/iet-cim ↗
https://ietresearch.onlinelibrary.wiley.com/journal/25168398 ↗
https://digital-library.theiet.org/content/journals/iet-cim/ ↗
https://ieeexplore.ieee.org/servlet/opac?punumber=8425306 ↗
http://ieeexplore.ieee.org/Xplore/home.jsp ↗ - DOI:
- 10.1049/cim2.12059 ↗
- Languages:
- English
- ISSNs:
- 2516-8398
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 23912.xml