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Model-Based Prognostic Approach for Battery Variable Loading Conditions: Some Accuracy Improved
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.ORCID iD: 0000-0001-8278-8601
2017 (English)In: Proceedings of the Asia Pacific Conference of  the Prognostics and Health Management Society 2017, 2017, p. 147-149Conference paper, Published paper (Refereed)
Abstract [en]

Prognostics and Health Management (PHM) using a proper condition-based maintenance (CBM) deployment is a worldwide-accepted strategy and has grown very popular in many industries and academia over the past decades. PHM can provide a state assessment of the future health of systems or components, e.g. when a degraded state has been found. Using this technology, one can estimate how long it will take before the equipment will reach a failure threshold, in future operating conditions and future environmental conditions.

This paper deals with the improvement of prognostic accuracy for battery discharge prediction and compares with previous results done by the other researchers. In this paper, physical models and measurement data were used in the prognostic development in such a way that the degradation behaviour of the battery could be modelled and simulated in order to predict the end-of-discharge (EoD). A particle filter turned out to be the method of choice in performing the state assessment and predicting the future degradation. 

Place, publisher, year, edition, pages
2017. p. 147-149
Keywords [en]
Prognostics, Particle filter, Battery, EoD
National Category
Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
URN: urn:nbn:se:ltu:diva-66596ISBN: 978-1-936263-27-1 (electronic)OAI: oai:DiVA.org:ltu-66596DiVA, id: diva2:1157601
Conference
Asia Pacific Conference of the Prognostics and Health Management Society 2017, Jeju, Korea, July 12-15 2017
Projects
SKF UTCAvailable from: 2017-11-16 Created: 2017-11-16 Last updated: 2018-10-22Bibliographically approved

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fulltext(217 kB)65 downloads
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http://phmap.org/data/PHM17_Proceedings_20171112.pdf

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Mishra, Madhav
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CiteExportLink to record
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Citation style
  • apa
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Output format
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