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Title:MODELIRANJE DINAMIKE VOŽNJE Z ANALIZO MULTIMODALNIH PODATKOV O DELOVANJU VOZILA
Authors:ID Marn, Tom (Author)
ID Zazula, Damjan (Mentor) More about this mentor... New window
ID Cigale, Boris (Comentor)
Files:.pdf UN_Marn_Tom_2016.pdf (1,92 MB)
MD5: C106DF7E48E21FAB14FAC7F12E12743F
 
Language:Slovenian
Work type:Undergraduate thesis
Typology:2.11 - Undergraduate Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:Za komunikacijo z računalnikom v vozilu se pojavlja vedno več aplikacij in naprav, ki zahtevajo branje podatkov preko standardiziranega priključka. Kadar je to edina dovoljena ali mogoča poveza za zbiranje telemetričnih podatkov, naletimo na problem, ko zajeti podatki niso v želeni resoluciji ali razpoložljivi, kot zahteva njihova nadaljnja uporaba. V diplomski nalogi smo predlagali, kako priti do večje ločljivosti podatka o hitrosti vozila, kot je ločljivost, ki ustreza standardu ISO 15031-5 ali SAE J1939-71. Razvili smo merilni modul s pospeškometrom, žiroskopom in magnetometrom. S Kalmanovim filtrom smo združili senzorske podatke in jih povezali s podatki, zajetimi iz avtomobilskega računalnika. Tako smo nekoliko izboljšali ločljivost. Rezultate smo statistično potrdili z 30 krajšimi in 31 daljšimi vožnjami, na katerih smo ocenjene hitrosti in prevožene poti primerjali z referenčnimi podatki.
Keywords:modeliranje dinamike vožnje, Kalmanov filter, OBD, pospeškometer, žiroskop, magnetometer
Place of publishing:[Maribor
Publisher:T. Marn
Year of publishing:2016
PID:20.500.12556/DKUM-61556 New window
UDC:004.414.23(043.2)
COBISS.SI-ID:19916822 New window
NUK URN:URN:SI:UM:DK:WU1NH4OJ
Publication date in DKUM:21.09.2016
Views:1640
Downloads:109
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
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Secondary language

Language:English
Title:DRIVING DYNAMICS MODELLING BASED ON THE ANALYSIS OF IN-VEHICLE OPERATING DATA
Abstract:More and more applications and devices require communication with vehicle to retrieve data over standardized connector. When this is the only permissible or possible connection to collect telemetric data, we encounter a problem when data are not included in the desired resolution or available as required by their continued use. In this thesis, we propose how to get the higher resolution data on the vehicle velocity, such as resolution corresponding to ISO 15031-5 or SAE J1939-71. We developed a measuring module with accelerometer, gyroscope and magnetometer. With Kalman filter we fused sensor data and combined them with the data collected from the car computer, which slightly improved the accuracy of assessed velocity. Results were statistically confirmed by 30 short and 31 long trips, by comparing estimated velocity and driving distances with referential ones.
Keywords:Driving dynamics modelling, Kalman filter, OBD, accelerometer, gyroscope, magnetometer


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