Stochastic Range Estimation Algorithms for Electric Vehicles using Data-Driven Learning Models
Stochastic Range Estimation Algorithms for Electric Vehicles using Data-Driven Learning Models

Author: Scheubner, Stefan

Publisher: KIT Scientific Publishing

Published: 2022-06-03

Total Pages: 190

ISBN-13: 3731511665

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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.

Probabilistic Prediction of Energy Demand and Driving Range for Electric Vehicles with Federated Learning
Probabilistic Prediction of Energy Demand and Driving Range for Electric Vehicles with Federated Learning

Author: Thorgeirsson, Adam Thor

Publisher: KIT Scientific Publishing

Published: 2024-09-03

Total Pages: 190

ISBN-13: 3731513714

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In this work, an extension of the federated averaging algorithm, FedAvg-Gaussian, is applied to train probabilistic neural networks. The performance advantage of probabilistic prediction models is demonstrated and it is shown that federated learning can improve driving range prediction. Using probabilistic predictions, routing and charge planning based on destination attainability can be applied. Furthermore, it is shown that probabilistic predictions lead to reduced travel time.

Trajectory optimization based on recursive B-spline approximation for automated longitudinal control of a battery electric vehicle
Trajectory optimization based on recursive B-spline approximation for automated longitudinal control of a battery electric vehicle

Author: Jauch, Jens

Publisher: KIT Scientific Publishing

Published: 2024-03-01

Total Pages: 264

ISBN-13: 3731513323

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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.

Measurable Safety of Automated Driving Functions in Commercial Motor Vehicles - Technological and Methodical Approaches
Measurable Safety of Automated Driving Functions in Commercial Motor Vehicles - Technological and Methodical Approaches

Author: Elgharbawy, Mohamed

Publisher: KIT Scientific Publishing

Published: 2023-01-13

Total Pages: 268

ISBN-13: 3731512548

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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.

Mesoscale simulation of the mold filling process of Sheet Molding Compound
Mesoscale simulation of the mold filling process of Sheet Molding Compound

Author: Meyer, Nils

Publisher: KIT Scientific Publishing

Published: 2022-07-12

Total Pages: 292

ISBN-13: 3731511738

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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.

Fiber-dependent injection molding simulation of discontinuous reinforced polymers
Fiber-dependent injection molding simulation of discontinuous reinforced polymers

Author: Wittemann, Florian

Publisher: KIT Scientific Publishing

Published: 2022-11-18

Total Pages: 180

ISBN-13: 3731512173

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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.

AI and IoT Meet Mobile Machines: Towards a Smart Working Site
AI and IoT Meet Mobile Machines: Towards a Smart Working Site

Author: Xiang, Yusheng

Publisher: KIT Scientific Publishing

Published: 2022-06-20

Total Pages: 294

ISBN-13: 3731511657

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Infrastructure construction is society's cornerstone and economics' catalyst. Therefore, improving mobile machinery's efficiency and reducing their cost of use have enormous economic benefits in the vast and growing construction market. In this thesis, I envision a novel concept smart working site to increase productivity through fleet management from multiple aspects and with Artificial Intelligence (AI) and Internet of Things (IoT).

Experimental investigation of relevant road surface descriptors for tire-road noise measurements on low-absorbing road surfaces
Experimental investigation of relevant road surface descriptors for tire-road noise measurements on low-absorbing road surfaces

Author: Pinay, Julien

Publisher: KIT Scientific Publishing

Published: 2024-01-16

Total Pages: 196

ISBN-13: 3731513285

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Ihrer Arbeit in der Originalsprache: This work aims at identifying relevant road surface characteristics to mitigate tire-road noise of free-rolling tires using a systematic approach. As using open porous roads is already known as an efficient measure to reduce tire rolling noise, this study will focus on compact road surfaces which have a low acoustic absorption. Measurements on standardized ISO 10844 test tracks and on public roads are used to study the norm's representativity and its completeness.

Process simulation of wet compression moulding for continuous fibre-reinforced polymers
Process simulation of wet compression moulding for continuous fibre-reinforced polymers

Author: Poppe, Christian Timo

Publisher: KIT Scientific Publishing

Published: 2022-07-18

Total Pages: 332

ISBN-13: 3731511908

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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.

Automated and Electric Vehicle: Design, Informatics and Sustainability
Automated and Electric Vehicle: Design, Informatics and Sustainability

Author: Yue Cao

Publisher: Springer Nature

Published: 2022-10-28

Total Pages: 286

ISBN-13: 9811957517

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This book focuses on the design, informatics, and energy sustainability of automated and electric vehicles. Both principles and engineering practice have been addressed, from design perspectives toward informatics enabled transport service operation including automated valet parking and charging use cases. This is achieved by providing an in-depth study on a number of major topics such as battery management, eco-driving system, telecommunications, transport and charging services, cyber-security, etc. The book benefits researchers, engineers, and graduate students in the fields of the intelligent transport system, telecommunication, cyber-security, and smart grids.