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Optimering av bränsleförbrukning för hybridaelektriska fordon: Optimization of Fuel Consumption in Hybrid ElectricVehicles
KTH, School of Engineering Sciences (SCI), Mathematics (Dept.), Optimization and Systems Theory.
KTH, School of Engineering Sciences (SCI), Mathematics (Dept.), Optimization and Systems Theory.
2013 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesisAlternative title
Optimering av bränsleförbrukning för hybridaelektriska fordon (Swedish)
Abstract [en]

There are various technologies used for reducing fuel consumption of automobiles. Hybrid electric vehicles is one approach that has been used, which can reduce fuel consumption by 10-30% compared to conventional vehicles.

In this master thesis the minimization of fuel consumption of a power-split type HEV along a given route is considered, where the vehicle speed has been assumed to be known a priori. This minimization was made by first deriving a model of the HEV powertrain, followed by creating a Dynamical programming based program for finding the optimal distribution of torques.

The performance was evaluated through the commercial software GT-Suite. The resulting control from the Dynamic program could follow the reference speed in many situations. However the battery state-of-charge calculated in the Dynamic program did not update properly, resulting in a depleted battery in some cases.

The model derived could follow the dynamics of the vehicle, but there are some parts which could be improved. One of them is the dynamical model of the rotational speed for the engine .

 The Dynamic program works for finding the controller, and can be modified to work with improved state-equations.

Abstract [sv]

Det finns olika sätt att minska bränsleförbrukningen hos bilar, men ett sätt som använts är el-hybrider. Dessa kan minska bränsleförbrukningen med 10-30% jämfört med konventionella bilar.

I det här examensarbetet undersöks optimering av bränsleförbrukning för en el-hybrid, där hastigheten antas vara känd i förväg. Optimeringen skedde genom att först härleda en modell för drivlinan, och därefter skapades ett Dynamisk programerings baserat program för att hitta den optimal kombinationen av moment.

Bränsleförbrukning och prestanda jämfördes genom programvaran GT-Suite. Dynamiska programmeringen gav lovande resultat som följde referenshastigheten i många fall. Däremot uppdaterades inte laddningen för batteriet lika bra, vilket ledde till att batteriet i vissa fall blev urladdat.

Modellen som härleddes visade i många fall liknande respons som GT-Suite, men viss förbättring kan ske. En utav dessa förbättringar är rotationsekvationen för bränslemotorn, .

Den Dynamiska programmeringen som skapades fungerade, och kan modifieras för förbättrade tillståndsekvationer

Place, publisher, year, edition, pages
2013. , 90 p.
Series
TRITA-MAT-E, 2013:39
Keyword [en]
Fuel optimization, Hybrid electric vehicle, Dynamic programming, modeling
National Category
Mathematics
Identifiers
URN: urn:nbn:se:kth:diva-126919OAI: oai:DiVA.org:kth-126919DiVA: diva2:643302
External cooperation
Sophia University, Tokyo
Subject / course
Optimization and Systems Theory
Educational program
Master of Science - Mathematics
Uppsok
Physics, Chemistry, Mathematics
Supervisors
Examiners
Available from: 2013-08-26 Created: 2013-08-22 Last updated: 2013-08-26Bibliographically approved

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