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A method to generate drive cycles from operational data
KTH, School of Engineering Sciences (SCI), Aeronautical and Vehicle Engineering, Vehicle Dynamics.
2019 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

This thesis investigates the possibility to develop a method to generate drive cycles for heavy duty vehicles for Scania’s customers. A representative drive cycle is important to simulate realistic driving of vehicles. Trucks that are sold by Scania and other manufacturers are collecting data which are logged from the vehicle’s on-board computer during operations. This data is used for the development of new trucks, and the idea is that with operational data, a drive cycle can be generated which is representative for the operations of a specific truck. The developed methodology generates a drive cycle which is compared against this operational data. By making a first selection of already existing drive cycles and modifying the closest drive cycle to a selection of parameters, a drive cycle which corresponds to the operations of the specific truck can be designed. To compare against the operational data, simulations of the truck performing the drive cycle are conducted, and the results are compared to the truck’s operational data. The simulation tool is an internally developed model at Scania which has been verified against test measurements on trucks. A final methodology to generate drive cycles are developed and it compares the simulated fuel consumption and engine load matrix against operational data. By redesigning the drive cycle in an iterative process, results from simulation of the drive cycle becomes very similar to the operational data.

Abstract [sv]

Detta examensarbete undersöker möjligheten att utveckla en metod för att generera körcykler för tunga vägfordon för Scanias kunder. En körcykel som är representativ mot verklig körning är av stor vikt för att ha möjligheten att kunna simulera en realistisk körning av vägfordon. Lastbilar som säljs av Scania och andra fordonstillverkare samlar in kördata som loggas på fordonets interna dator under användning. Dessa data används i vidareutvecklingen av fordon och idén till detta arbete är att med tillgänglig kördata kan körcykler genereras som efterliknar användningen av en specifik lastbil. Den framtagna metoden tar fram en körcykel som jämförs mot kördata. Genom att först välja ut en redan befintlig körcykel som generar liknande resultat sett till kördatan så kan denna körcykel designas om för att än bättre anpassas till kördatan. Genom simulering kan körcykeln testas med det fordon som körcykeln skall efterlikna. Resultaten från simuleringen av körcykeln jämförs med den loggade kördatan. Simuleringsverktyget har utvecklats internt på Scania och är verifierat mot tester från lastbilar som genomfört verkliga körningar. Den slutgiltiga metoden som genererar körcykler jämför bränsleförbrukning och motorns lastmatris jämtemot den loggade kördatan. Genom omarbetning av körcykeln i en iterativ process tas en slutgiltig körcykel fram som ger ett mycket liknande resultat mellan simulering och loggad kördata.

Place, publisher, year, edition, pages
2019. , p. 50
Series
TRITA-SCI-GRU ; 2019:384
National Category
Vehicle Engineering
Identifiers
URN: urn:nbn:se:kth:diva-265632OAI: oai:DiVA.org:kth-265632DiVA, id: diva2:1380269
External cooperation
Scania
Examiners
Available from: 2019-12-19 Created: 2019-12-18 Last updated: 2019-12-19Bibliographically approved

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