As global climate change concerns, technological advancements, and economic shifts increase the adoption of electric vehicles, it is vital to study how best to integrate these into our existing energy systems. Electric vehicles (EVs) are on track to quickly become a large factor in the energy grid. If left uncoordinated, the charging of EVs will become a burden on the grid by increasing peak demand and overloading transformers. However, with proper charging control strategies, the problems can be mitigated without the need for expensive capital investments. Distributed control methods are a powerful tool to coordinate the charging, but it will be important to assess the trade-offs between performance, information privacy, and computational speed between different control strategies. This work presents a comprehensive comparison between four distributed control algorithms simulating two case studies constrained by dynamic transformer temperature and current limits. The transformer temperature dynamics are inherently nonlinear and this implementation is contrasted with a piece-wise linear convex relaxation. The more commonly distributed control methods of Dual Decomposition and Alternating Direction Method of Multipliers (ADMM) are compared against a relatively new algorithm, Augmented Lagrangian based Alternating Direction Inexact Newton (ALADIN), as well as against a low-information packetized energy management control scheme (PEM). These algorithms are implemented with a receding horizon in two distinct case studies: a local neighborhood scenario with EVs at each network node and a hub scenario where each node represents a collection of EVs. Finally, these simulation results are compared and analyzed to assess the methods’ performance, privacy, and processing metrics for each case study as no algorithm is found to be optimal for all applications.

Dynamically charged vehicles suffer from power-loss during wireless power transfer due to vehicle coil misalignment while driving. Autonomous dynamically charged vehicles can maximize wireless power transfer by following an optimal charging path, but the repeated precision increases road wear. To avoid unnecessary road wear and rutting, a path planner can intentionally inject variability into an autonomous vehicle’s path. However, introducing variability into an optimal charging path risks depleting battery life prior to destination arrival, and it increases rider discomfort. Therefore, a path planner is proposed that guarantees average charging criteria and ensures rider comfort while reducing road wear.

京都大学 / 新制・課程博士 / 博士(工学) / 甲第24147号 / 工博第5034号 / 新制||工||1786(附属図書館) / 京都大学大学院工学研究科電気工学専攻 / (主査)教授 篠原 真毅, 教授 小嶋 浩嗣, 教授 山本 衛 / 学位規則第4条第1項該当 / Doctor of Philosophy (Engineering) / Kyoto University / DGAM

<p>With the standardization of IP Multimedia Subsystem (IMS), the telecommunications scene becomes more and more converged and in the future we will most likely access our services from all kinds of devices and link them together. One important future access method that has so far been left out of the standardization is television. There is a need for Internet Protocol Television (IPTV) to work together with IMS and this thesis focuses on one aspect of that convergence, namely charging.</p><p>The problem explored in this thesis is if there is an efficient way of charging for IPTV services while taking advantage of the IMS charging functionality and this is done for two aspects of the problem. First, the possiblilty of an efficient Session Initiation Protocol (SIP) signaling schema is investigated and then a good charging Application Programming Interface (API) to be used when developing applications is investigated. The findings of these two investigations are then tested and improved during the implementation of a demo application.</p><p>This thesis delivers specifications for a signaling schema that enables a Set-Top Box (STB) to pass charging information to an IMS network via INFO requests inside a special charging session. The schema is small and extendable to ensure that it can be modified further on if necessary. The thesis also delivers an encapsulating and intuitive charging API to be used by developers who want to charge for their services.</p>

Several factors have influenced the recent development in charging of heavy goods vehicles in Europe. European legislation is changed and the political will is strong in many countries. The public awareness and acceptance is large for the need to put a price and a cost on the use of infrastructure. Environmental concerns are also actuating change in this direction. Systems are being introduced to support and enhance principles of marginal cost, fair pricing, inclusion of emission factors and to support modal shift. This has laid the foundation for a payment will for good technical solutions in the field of road user charging. This licentiate thesis aims at analysing and identifying the most important factors and areas to focus on for reaching a successful implementation of a system for charging heavy goods vehicles based on distance and marginal cost. These are: - Public acceptance and use of opportunities and public opinion - The political process and most important decision points - The legal framework before and during introduction as well as for operation of a system - The institutional framework - Responsibility assignment - System procurement and implementation, including procurement strategy, technology choices, testing and demonstration and interoperability Another important contribution is the implementation process model for an introduction of a distance based system for heavy goods vehicles in a country. The model comprises of the most important aspects to consider which has been made through the study and analysis of both implemented and cancelled systems as well as planned introductions, where the Swedish work in this direction has formed the major part of the analysis. The implementation process model with its main actors, decision points and information flow between actor groups are cornerstones of the model, which can serve as a tool for future implementers to follow.

The paradigm of personal transportation is changing. Electric vehicles are here. The arrival of the Tesla Roadster, Nissan Leaf, and Chevy Volt has changed the way in which we have to think about the energy that fuels our transportation needs. As PEVs find their way into garages this year and especially in the coming years, the neighborhood, city, state, and regional electric infrastructure will take on a new importance for many people as their interactions with it become significantly more complex and intimate as a result of regular electric vehicle charging.

Power converters are used in many distributed energy resources (DER) applications. With proper controls, DER systems can reduce losses and achieve higher energy efficiency if various power sources and loads are integrated through DC bus. High voltage electric vehicle (EV) DC charging station is becoming popular in order to reduce charging time and improve energy efficiency. A DC EV charging station model involving photovoltaic, energy storage system (ESS), fuel cell and DC loads is studied in this work. A dynamic programming technique that considers various uncertainties involved in the system is adopted to obtain optimal dispatch of ESS and fuel cell system. The effects of different tariffs, demand response programs and contract capacities of demand in the power scheduling are investigated and the results are presented.

Due to the differences in batteries of a series-connected battery bank, the restored capacity in each battery may not be the same when being charged. In order to extend battery cycle life, the charger for the battery bank must have the capability of charging equalization. This thesis proposes a non-dissipative balance charging circuit based on buck-boost topology for a series-connected battery bank. Each battery in a battery bank is associated with a buck-boost converter. This topology can efficiently alleviate the unbalance of charge among batteries by taking off the charge from the affluently charged batteries and then allotting to those insufficient ones. To accomplish this complicated and accurate control, a digital signal processor (DSP) with sensors and interface circuits is adopted. It monitors the variations of battery voltages, activates the associated buck-boost converter, and adjusts the duty ratio of the converter to regulate the energy to be released. In virtue of the adoption of digital control kernel, the control circuit can be simple and the control flexibility can be favored. A battery bank with four series connected lead-acid batteries is used for illustrating the operating behavior and describing the operation modes of the balance charging circuit. The results of experiments convincingly advocate the applicability of the proposed approach.

<p>This licentiate thesis reports analytical results for the electrostatic response to a test charge moving through dusty plasma. Two particular cases for a slowly moving test charge, namely, grain size distribution and grain charging dynamics are considered. Analytical results for the delayed shielding of a test charge due to dynamical grain charging in dusty plasma are also reported. In the first case, a dusty plasma in thermal equilibrium and with a distribution of grain sizes is considered. A size distribution is assumed which decreases exponentially with the grain mass for large sizes and gives a simple smooth reduction for small sizes. The electrostatic response to a slowly moving test charge, using a second order approximation is found and the effects of collisions are also investigated. It turns out that for this particular size distribution, there is a remarkably simple result that the resulting effective distribution for the electrostatic response is a kappa (generalized Lorentzian) distribution. In the second case, we present an analytical model for the shielding of a slowly moving test charge in a dusty plasma with dynamical grain charging for cases both with and without the collision effects. The response potential is treated as a power series in test charge velocity. Analytical expressions for the response potential are found up to second order in test charge velocity. The first-order dynamical charging term is shown to be the consequence of the delay in the shielding due to the dynamics of the charging process. It is concluded that the dynamical charging of the grains in a dusty plasma enhances the shielding of a test charge. To clarify the physics, a separate study is made where the charging is approximated by using a time delay. The resulting potential shows the delayed shielding effect explicitly. The terms in the potential that depend on the charging dynamics involve a spatial shift given by the test charge velocity and the charging time. This kind of work has relevance both in space and astrophysical plasmas.</p>

<p>Several factors have influenced the recent development in charging of heavy goods vehicles in Europe. European legislation is changed and the political will is strong in many countries. The public awareness and acceptance is large for the need to put a price and a cost on the use of infrastructure. Environmental concerns are also actuating change in this direction. Systems are being introduced to support and enhance principles of marginal cost, fair pricing, inclusion of emission factors and to support modal shift. This has laid the foundation for a payment will for good technical solutions in the field of road user charging.</p><p>This licentiate thesis aims at analysing and identifying the most important factors and areas to focus on for reaching a successful implementation of a system for charging heavy goods vehicles based on distance and marginal cost. These are:</p><p>- Public acceptance and use of opportunities and public opinion</p><p>- The political process and most important decision points</p><p>- The legal framework before and during introduction as well as for operation of a system</p><p>- The institutional framework</p><p>- Responsibility assignment</p><p>- System procurement and implementation, including procurement strategy, technology choices, testing and demonstration and interoperability</p><p>Another important contribution is the implementation process model for an introduction of a distance based system for heavy goods vehicles in a country. The model comprises of the most important aspects to consider which has been made through the study and analysis of both implemented and cancelled systems as well as planned introductions, where the Swedish work in this direction has formed the major part of the analysis. The implementation process model with its main actors, decision points and information flow between actor groups are cornerstones of the model, which can serve as a tool for future implementers to follow.</p>