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A smart cell monitoring system based on power line communication—optimization of instrumentation and acquisition for smart battery management
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Vincent, Timothy A., Gulsoy, Begum, Sansom, Jonathan E. H. and Marco, James (2021) A smart cell monitoring system based on power line communication—optimization of instrumentation and acquisition for smart battery management. IEEE Access, 9 . pp. 161773-161793. doi:10.1109/ACCESS.2021.3131382 ISSN 2169-3536.
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WRAP-Smart-cell-monitoring-system-power-communication-optimization-instrumentation-2021.pdf - Published Version - Requires a PDF viewer. Available under License Creative Commons Attribution 4.0. Download (6Mb) | Preview |
Official URL: http://dx.doi.org/10.1109/ACCESS.2021.3131382
Abstract
Energy density of current generation battery packs is insufficient for next generation electric vehicles nor the electrification of the aerospace industry. Currently, approximately a third of energy density is lost due to ancillary demands (e.g., cooling and instrumentation) within a pack, relative to cell energy density. Smart cells, instrumented cells with sensors and circuitry, offer a means to monitor cell performance (e.g. temperature, voltage, current data). Uniquely here we demonstrate our 21700 cells instrumented with internal thermistor sensing arrays with custom miniature interface circuitry including data acquisition and communication components. This circuitry including a power line communication (PLC) system, enables sensor data to be collected and transmitted to a master controller without requiring additional wiring, and can achieve an excellent <0.005 % message error rate. The control and communication system includes the use of adaptive sampling algorithms (during identified periods of low demand, through temperature and current measurements) the cells transmit data at 0.2 Hz, increasing to 5 Hz (normal operation) or 10 Hz (beyond operating limits). This method was demonstrated via drive cycling and external heating to alert the master controller to abnormal operating conditions (rapidly, to avoid missing key features) while saving 65% volume of data during a 90 minute experiment.
| Item Type: | Journal Article | ||||||||||||
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| Subjects: | T Technology > TJ Mechanical engineering and machinery T Technology > TK Electrical engineering. Electronics Nuclear engineering |
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| Divisions: | Faculty of Science, Engineering and Medicine > Engineering > Engineering | ||||||||||||
| Library of Congress Subject Headings (LCSH): | Battery management systems , Electric lines -- Carrier transmission , Broadband communication systems, Electric batteries | ||||||||||||
| Journal or Publication Title: | IEEE Access | ||||||||||||
| Publisher: | IEEE | ||||||||||||
| ISSN: | 2169-3536 | ||||||||||||
| Official Date: | 14 December 2021 | ||||||||||||
| Dates: |
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| Volume: | 9 | ||||||||||||
| Page Range: | pp. 161773-161793 | ||||||||||||
| DOI: | 10.1109/ACCESS.2021.3131382 | ||||||||||||
| Status: | Peer Reviewed | ||||||||||||
| Publication Status: | Published | ||||||||||||
| Access rights to Published version: | Open Access (Creative Commons) | ||||||||||||
| Date of first compliant deposit: | 22 December 2021 | ||||||||||||
| Date of first compliant Open Access: | 4 January 2022 | ||||||||||||
| RIOXX Funder/Project Grant: |
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