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Model Based Fault Detection for a Lithium-Ion Electrical Vehicle Battery Management System Through Hardware-in-the-Loop Battery Simulation Model.
KHAN, UMAR HALEEM
University of Karlstad.
2018 (English)
Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE credits
Student thesis
Place, publisher, year, edition, pages
2018.
Keywords [en]
MODELBASE, FAULT DETECTION
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN:
urn:nbn:se:kau:diva-69378
OAI: oai:DiVA.org:kau-69378
DiVA, id:
diva2:1250226
External cooperation
NATIONAL ELECTRIC VEHICLE SWEDEN
Subject / course
Electrical Engineering
Educational program
Master of Science in Engineering, Degree Programme in Engineering Physics (120 ECTS credits)
Supervisors
Theocharis, Andreas
Karlstad University, Faculty of Technology and Science, Department of Physics and Electrical Engineering. Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Engineering and Physics (from 2013).
Examiners
Mossberg, Magnus
Karlstad University, Faculty of Technology and Science, Department of Physics and Electrical Engineering. Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Engineering and Physics (from 2013).
Available from:
2018-09-24
Created:
2018-09-22
Last updated:
2026-02-12
Bibliographically approved
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University of Karlstad
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Electrical Engineering, Electronic Engineering, Information Engineering
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modern-language-association-8th-edition
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ieee
modern-language-association-8th-edition
vancouver
apa.csl
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de-DE
en-GB
en-US
fi-FI
nn-NO
nn-NB
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