Evaluation, Transformation, and Extraction of Driving Cycles and Vehicle Operations.

• Superior document: Linköping Studies in Science and Technology. Thesis Series ; v.1596
• Author: Nyberg, Peter.
• Place / Publishing House: Linköping : : Linkopings Universitet,, 2013.; {copy}2013.
• Year of Publication: 2013
• Edition: 1st ed.
• Language: English
• Series: Linköping Studies in Science and Technology. Thesis Series
• Physical Description: 1 online resource (119 pages)

Table of Contents

• Intro
• 1 Introduction
• 1.1 Contributions
• 1.2 Publications
• References
• Publications
• A A New Chassis Dynamometer Laboratory for Vehicle Research
• 1 Introduction
• 2 Background
• 3 Laboratory Overview
• 3.1 The vehicle propulsion laboratory
• 3.2 Equipment
• 4 Dynamometer System
• 4.1 System description
• 4.2 Dynamometer performance
• 4.3 Mounting procedure
• 4.4 Test modes
• 5 Performed Studies
• 5.1 Modeling of engine and driveline related disturbances on the wheel speed in passenger cars
• 5.2 Modeling and control of co-surge in bi-turbo engines
• 5.3 Formula student, mapping
• 5.4 Chassis dynamometer road force co-simulation with a moving base simulator
• 6 Future Projects Aims and Goals
• 7 Summary
• References
• B Vehicle Powertrain Test Bench Co-Simulation with a Moving Base Simulator Using a Pedal Robot
• 1 Introduction
• 2 Experimental Setup
• 2.1 Chassis dynamometer lab
• 2.2 VTI simulator III
• 2.3 Pedal robot
• 2.4 Connection between facilities
• 2.5 Synchronizing vehicle models
• 2.6 Driving mission
• 3 Results
• 3.1 Network performance
• 3.2 Step response tests of pedal robot
• 3.3 Running the complete system
• 4 Conclusions
• References
• C Driving Cycle Adaption and Design Based on Mean Tractive Force
• 1 Introduction
• 2 Driving Cycle Equivalence
• 2.1 Mean tractive force equivalence
• 2.2 Determining traction regions
• 2.3 Physical interpretation of the MTF components
• 3 Problem Formulation
• 4 Algorithm
• 4.1 Core component: Analytical local modifications
• 4.2 Algorithm 1: Global modifications of the driving cycle
• 4.3 Algorithm 2: Transforming to target , , and
• 4.4 Algorithm for reducing fluctuations
• 5 Case Examples
• 6 Conclusions
• References
• D Robust Driving Pattern Detection and Identification with a Wheel Loader Application
• 1 Introduction.
• 2 Problem Formulation and Challenges
• 2.1 Wheel loader usage
• 2.2 Sensors configuration and measurement data
• 2.3 Problem formulation
• 2.4 Challenges
• 3 Modeling
• 3.1 Events
• 3.2 Event descriptions
• 3.3 Cycles
• 4 Method
• 4.1 Event detection
• 4.2 Cycle identification
• 4.3 Parameter estimation
• 5 Evaluation
• 5.1 Robustness of cycle identification algorithm
• 5.2 Parameter estimation
• 5.3 Summing up
• 6 Conclusions
• References.