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.