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Embedded impedance based state-of-charge estimation
KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.).
2014 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Estimating the battery state-of-charge is an important aspect of prolonging battery life and optimizing discharge cycles. In this thesis, a hybrid method for estimating state-of-charge for lead-acid batteries is developed and implemented in a motor controller. The method uses a combination of impedance measurements and a linear regression model for estimation. Measurements are done at stand-still. The method does not require sensors that are external to the motor controller or auxiliary battery connections other than terminal connections. The final estimation model shows good results but exhibits a slight ambient temperature dependence.

Abstract [sv]

Att estimera ett batteris laddstatus är av stor vikt när det gäller att förlänga livslängden hos batteriet och att optimera urladdningscykler. I detta examensarbete utvecklades en hybridmetod för laddstatusestimering som sedan implementerades i en motorstyrning. Metoden använder en kombination av impedansmätningar och en linjär regressionsmodell för estimering. Mätningar görs vid stillastående. Metoden kräver inga externa sensorer eller andra batterianslutningar än terminalanslutningarna. Den slutgiltiga modellen uppvisar god prestanda men uppvisar ett visst temperaturberoende.

Place, publisher, year, edition, pages
2014. , 38 p.
Series
MMK 2014:65 MDA 502
National Category
Mechanical Engineering
Identifiers
URN: urn:nbn:se:kth:diva-177673OAI: oai:DiVA.org:kth-177673DiVA: diva2:874059
External cooperation
Inmotion Technologies AB
Supervisors
Examiners
Available from: 2016-01-14 Created: 2015-11-25 Last updated: 2016-01-14Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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  • de-DE
  • en-GB
  • en-US
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  • nn-NO
  • nn-NB
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  • Other locale
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Output format
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