Change search
ReferencesLink to record
Permanent link

Direct link
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.
, MMK 2014:65 MDA 502
National Category
Mechanical Engineering
URN: urn:nbn:se:kth:diva-177673OAI: diva2:874059
Available from: 2016-01-14 Created: 2015-11-25 Last updated: 2016-01-14Bibliographically approved

Open Access in DiVA

fulltext(1361 kB)42 downloads
File information
File name FULLTEXT01.pdfFile size 1361 kBChecksum SHA-512
Type fulltextMimetype application/pdf

By organisation
Machine Design (Dept.)
Mechanical Engineering

Search outside of DiVA

GoogleGoogle Scholar
Total: 42 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 41 hits
ReferencesLink to record
Permanent link

Direct link