Road Condition Estimation With Data Mining Methods Using Vehicle Based Sensors
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Road Condition Estimation With Data Mining Methods Using Vehicle Based Sensors
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Author : Masino, Johannes
language : en
Publisher: KIT Scientific Publishing
Release Date : 2021-03-31
Road Condition Estimation With Data Mining Methods Using Vehicle Based Sensors written by Masino, Johannes and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-31 with Technology & Engineering categories.
The work provides novel methods to process inertial sensor and acoustic sensor data for road condition estimation and monitoring with application in vehicles, which serve as sensor platforms. Furthermore, methods are introduced to combine the results from various vehicles for a more reliable estimation.
Stochastic Range Estimation Algorithms For Electric Vehicles Using Data Driven Learning Models
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Author : Scheubner, Stefan
language : en
Publisher: KIT Scientific Publishing
Release Date : 2022-06-03
Stochastic Range Estimation Algorithms For Electric Vehicles Using Data Driven Learning Models written by Scheubner, Stefan and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-03 with Technology & Engineering categories.
This work aims at improving the energy consumption forecast of electric vehicles by enhancing the prediction with a notion of uncertainty. The algorithm itself learns from driver and traffic data in a training set to generate accurate, driver-individual energy consumption forecasts.
Measurable Safety Of Automated Driving Functions In Commercial Motor Vehicles Technological And Methodical Approaches
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Author : Elgharbawy, Mohamed
language : en
Publisher: KIT Scientific Publishing
Release Date : 2023-01-13
Measurable Safety Of Automated Driving Functions In Commercial Motor Vehicles Technological And Methodical Approaches written by Elgharbawy, Mohamed and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-13 with Technology & Engineering categories.
With the further development of automated driving, the functional performance increases resulting in the need for new and comprehensive testing concepts. This doctoral work aims to enable the transition from quantitative mileage to qualitative test coverage by aggregating the results of both knowledge-based and data-driven test platforms. The validity of the test domain can be extended cost-effectively throughout the software development process to achieve meaningful test termination criteria.
Trajectory Optimization Based On Recursive B Spline Approximation For Automated Longitudinal Control Of A Battery Electric Vehicle
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Author : Jauch, Jens
language : en
Publisher: KIT Scientific Publishing
Release Date : 2024-03-01
Trajectory Optimization Based On Recursive B Spline Approximation For Automated Longitudinal Control Of A Battery Electric Vehicle written by Jauch, Jens and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-01 with categories.
This work describes a method for weighted least squares approximation of an unbounded number of data points using a B-spline function. The method can shift the bounded B-spline function definition range during run-time. The approximation method is used for optimizing velocity trajectories for an electric vehicle with respect to travel time, comfort and energy consumption. The trajectory optimization method is extended to a driver assistance system for automated vehicle longitudinal control.
Development Of A Co2e Quantification Method And Of Solutions For Reducing The Greenhouse Gas Emissions Of Construction Machines
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Author : Ays, Isabelle Charlotte
language : en
Publisher: KIT Scientific Publishing
Release Date : 2022-06-27
Development Of A Co2e Quantification Method And Of Solutions For Reducing The Greenhouse Gas Emissions Of Construction Machines written by Ays, Isabelle Charlotte and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-27 with Technology & Engineering categories.
This work focuses on the development of a quantification method for GHG (CO2e) emissions from construction machines. The method considers CO2e reduction potentials in the time past-present–future, through influencing factors from six pillars: Machine efficiency, process efficiency, energy source, operating efficiency, material efficiency and CCS. In addition, transformation solutions are proposed to reduce GHG emissions from construction machines like liquid methane, fuel cell drive or CCS.
Process Simulation Of Wet Compression Moulding For Continuous Fibre Reinforced Polymers
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Author : Poppe, Christian Timo
language : en
Publisher: KIT Scientific Publishing
Release Date : 2022-07-18
Process Simulation Of Wet Compression Moulding For Continuous Fibre Reinforced Polymers written by Poppe, Christian Timo and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-18 with Technology & Engineering categories.
Interdisciplinary development approaches for system-efficient lightweight design unite a comprehensive understanding of materials, processes and methods. This applies particularly to continuous fibre-reinforced plastics (CoFRPs), which offer high weight-specific material properties and enable load path-optimised designs. This thesis is dedicated to understanding and modelling Wet Compression Moulding (WCM) to facilitate large-volume production of CoFRP structural components.
Mesoscale Simulation Of The Mold Filling Process Of Sheet Molding Compound
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Author : Meyer, Nils
language : en
Publisher: KIT Scientific Publishing
Release Date : 2022-07-12
Mesoscale Simulation Of The Mold Filling Process Of Sheet Molding Compound written by Meyer, Nils and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-12 with Technology & Engineering categories.
Sheet Molding Compounds (SMC) are discontinuous fiber reinforced composites that are widely applied due to their ability to realize composite parts with long fibers at low cost. A novel Direct Bundle Simulation (DBS) method is proposed in this work to enable a direct simulation at component scale utilizing the observation that fiber bundles often remain in a bundled configuration during SMC compression molding.
Numerical Prediction Of Curing And Process Induced Distortion Of Composite Structures
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Author : Bernath, Alexander
language : en
Publisher: KIT Scientific Publishing
Release Date : 2021-10-29
Numerical Prediction Of Curing And Process Induced Distortion Of Composite Structures written by Bernath, Alexander and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-29 with Technology & Engineering categories.
Fiber-reinforced materials offer a huge potential for lightweight design of load-bearing structures. However, high-volume production of such parts is still a challenge in terms of cost efficiency and competitiveness. Numerical process simulation can be used to analyze underlying mechanisms and to find a suitable process design. In this study, the curing process of the resin is investigated with regard to its influence on RTM mold filling and process-induced distortion.
Data Driven Condition Monitoring In Mining Vehicles
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Author : Erik Jakobsson
language : en
Publisher: Linköping University Electronic Press
Release Date : 2019-11-20
Data Driven Condition Monitoring In Mining Vehicles written by Erik Jakobsson and has been published by Linköping University Electronic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-20 with categories.
Situation awareness is a crucial capability of any autonomous system, including mining vehicles such as drill rigs and mine trucks. Typically situation awareness is interpreted as the capability of an autonomous system to interpret its surroundings and the intentions of other agents. The internal system awareness however, is often not receiving the same focus, even though the success of any given mission is completely dependent of the condition of the agents themselves. The internal system awareness in the form of vehicle health is the focus of this thesis. As the mining industry becomes increasingly automated, and vehicles become increasingly advanced, the need for condition monitoring and prognostics will continue to rise. This thesis explores data-driven methods that estimate the health of mining vehicles to accommodate those needs. We do so by utilizing available sensor signals, common on a large amount of mining vehicles, to make assessments of the current vehicle condition and tasks. The mining industry is characterized by small series of highly specialized vehicles, which affects the possibility to use more traditional prognostic solutions. The resulting health information can be used both to aid in tasks such as maintenance planning, but also as an important input to decision making for the planning system, i.e. how to run the vehicle for minimum wear and damage, while maintaining other mission objectives. The contributions include: a) A method to use operational data to estimate damage on the frame of a mine truck. This is done using system identification to find a model describing stresses in the structure with input from other sensors such as accelerometers, load sensors and pressure sensors. The estimated stress time signal is in turn used to calculate accumulated damage, and is shown to reveal interesting conclusions on driver behavior. b) A method to characterize the different driving tasks by using an accelerometer and a convolutional neural network. We show that the model is capable of classifying the vehicle task correctly in 96 % of the cases. And finally c), a system for underground road monitoring, where a quarter car model and a Kalman filter are used to generate an estimate of the road profile, while positioning the vehicle using inertial measurements and access point signal strength.
Fiber Dependent Injection Molding Simulation Of Discontinuous Reinforced Polymers
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Author : Wittemann, Florian
language : en
Publisher: KIT Scientific Publishing
Release Date : 2022-11-18
Fiber Dependent Injection Molding Simulation Of Discontinuous Reinforced Polymers written by Wittemann, Florian and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-18 with Technology & Engineering categories.
This work presents novel simulation techniques for injection molding of fiber reinforced polymers. These include approaches for anisotropic flow modeling, hydrodynamic forces from fluid on fibers, contact forces between fibers, a novel fiber breakage modeling approach and anisotropic warpage analysis. Due to the coupling of fiber breakage and anisotropic flow modeling, the fiber breakage directly influences the modeled cavity pressure, which is validated with experimental data.