Master's Thesis from the year 2018 in the subject Engineering - Automotive Engineering, Technical University of Munich, language: English, abstract: This thesis is an initial approach to analyze the design and implementation of an e-vehicle sharing system in the P3 Group oÿce in Paris. An overview of the electric vehicle charging infrastructure, along with the relevant aspects of charging modes is provided. A showcase of the analysis of di ̇erent car-sharing models within Europe is given, after which a specific case study is analyzed in greater detail. The parameters and features for the system were derived from a competitive benchmark of the car-sharing models on the market today. The objective was to assist the company in planning and managing a corporate e-vehicle sharing system in a profitable way while o ̇ering the employees good quality service. Therefore, the cost of designing and installing the P3 EV charging station was evaluated. On this matter, empirical data was gathered from P3 employees to better understand their daily commute, their needs and their expectations of the system. An optimization model for distances, cost and charging patterns was discussed and formalized as an integer linear program in MATLAB. Given the complexity inherent to this optimization model, stochastic distribution was employed to minimize the cost for the company, taking into consideration the trips paid and the costs involved–namely, the personal wage of an employee. A focus on the optimal design of an e-vehicle sharing system was necessary, while considering the problem’s dimensionality (number of vehicles, parking places, battery capacities, etc.) and employee relocation time. This study determines if the system provides higher net benefits to the company than available transportation alternatives. As a result of this pricing comparison, a significant reduction in total cost could be achieved for the company. The data set conclusively supports the implementation of the e-vehicle sharing system, which provides a decreased cost versus the use of public transportation. A possible avenue of future research is to extend the functionality of the developed model by adding a responsive user demand and possibly, maximizing the car-sharing ridership between employees.

The authors of this text have written a comprehensive introduction to the modeling and optimization problems encountered when designing new propulsion systems for passenger cars. It is intended for persons interested in the analysis and optimization of vehicle propulsion systems. Its focus is on the control-oriented mathematical description of the physical processes and on the model-based optimization of the system structure and of the supervisory control algorithms.

This handbook gathers state-of-the-art research on optimization problems in power distribution systems, covering classical problems as well as the challenges introduced by distributed power generation and smart grid resources. It also presents recent models, solution techniques and computational tools to solve planning problems for power distribution systems and explains how to apply them in distributed and variable energy generation resources. As such, the book therefore is a valuable tool to leverage the expansion and operation planning of electricity distribution networks.

This book presents interdisciplinary approaches to help buildings, electrical energy networks and their users contribute to the energy and societal transition. Smart Grids and Buildings for Energy and Societal Transition examines the technologies, uses and imaginaries involved in implementing smart buildings and smart grids. Production and consumption forecasts, modeling of stakeholder involvement and self-consumption within a renewable energy community exploiting blockchain technology are examples developed with a view to fostering the emergence of smart grids. The potential of smart buildings, taking into account user comfort while increasing energy efficiency, is identified. Full-scale demonstrators are used to test the proposed solutions, and to ensure that users take full advantage of the potential for electrical flexibility.

This book contains selected papers resulting from the 2020 International Conference on Road and Traffic Engineering (CRTE 2020) covering Road Engineering and Traffic Engineering, aiming to provide an academic and technical communication platform for scholars and engineers engaged in scientific research and engineering practice in the field of Road Engineering and Materials, Traffic Engineering and Management and Transportation Engineering. By sharing the research status of scientific research achievements and cutting-edge technologies, it helps scholars and engineers all over the world to comprehend the academic development trends and broaden research ideas. So as to strengthen international academic research, academic topics exchange and discussion, and promote the industrialization cooperation of academic achievements.

Computational intelligence is a well-established paradigm, where new theories with a sound biological understanding have been evolving. The current experimental systems have many of the characteristics of biological computers (brains in other words) and are beginning to be built to perform a variety of tasks that are difficult or impossible to do with conventional computers. As evident, the ultimate achievement in this field would be to mimic or exceed human cognitive capabilities including reasoning, recognition, creativity, emotions, understanding, learning and so on. This book comprising of 17 chapters offers a step-by-step introduction (in a chronological order) to the various modern computational intelligence tools used in practical problem solving. Staring with different search techniques including informed and uninformed search, heuristic search, minmax, alpha-beta pruning methods, evolutionary algorithms and swarm intelligent techniques; the authors illustrate the design of knowledge-based systems and advanced expert systems, which incorporate uncertainty and fuzziness. Machine learning algorithms including decision trees and artificial neural networks are presented and finally the fundamentals of hybrid intelligent systems are also depicted. Academics, scientists as well as engineers engaged in research, development and application of computational intelligence techniques, machine learning and data mining would find the comprehensive coverage of this book invaluable.

The UN Climate Change Conference in Paris, with its key topics of global warming and deteriorating air quality, will speed up the advance of electric mobility. CO2-neutral and zero-emission mobility require electricity to be generated from regenerative sources of energy. Power generation from wind and solar energy, however is dependent on the weather and is therefore not stable. The irregularities that occur in nature can result in unacceptable voltage fluctuations in the power grid. For that reason, the availability of highly flexible loads and storage systems is becoming particularly important. Electric vehicles, with their grid-relevant properties as controllable power consumers and electricity storage systems, could help to stabilize future power grids.