Vehicle-to-grid (V2G) network, which provides electricity charging service to the electric vehicles (EVs), is an essential part of the smart grid (SG). It can not only effectively reduce the greenhouse gas emission but also significantly enhance the efficiency of the power grid. Due to the limitation of the local electricity resource, the quality of charging service can be hardly guaranteed for every EV in V2G network. To this end, the multi-quality charging is introduced to provide quality-guaranteed service (QGS) to the qualified EVs and best effort service (BES) to the other EVs. To perform the multi-quality charging, the evaluation on the EV's attributes is necessary to determine which level of charging service can be offered to the EV. However, the EV owner's privacy such as real identity, lifestyle, location, and sensitive information in the attributes may be violated during the evaluation and authentication. In this thesis, a privacy-preserving multi-quality charging (PMQC) scheme for V2G network is proposed to evaluate the EV's attributes, authenticate its service eligibility and generate its bill without revealing the EV's private information. Specifically, by adopting ciphertext-policy attribute based encryption (CP-ABE), the EV can be evaluated to have proper charging service without disclosing its attribute privacy. By utilizing group signature, the EV's real identity is kept confidential during the authentication and the bill generation. By hiding the EV's real identity, the EV owner's lifestyle privacy and location privacy are also preserved. Security analysis demonstrates that PMQC can achieve the EV's privacy preservation, fine-grained access control on the EVs for QGS, traceability of the EV's real identity and secure revocation on the EV's service eligibility. Performance evaluation result shows that PMQC can achieve higher efficiency in authentication and verification compared with other schemes in terms of computation overhead. Based on PMQC, the EV's computation overhead and storage overhead can be further reduced in the extended privacy-preserving multi-quality charging (ePMQC) scheme.

As the awareness of energy security and global warming is increasing, alternative technologies are being developed such as electric vehicles. In addition, the integration of a more sustainable energy system with renewable resources put a lot of pressure on the electricity system in terms of regulation power. This thesis has investigated and developed proposals of business models with electric vehicles, which by their construction can raise value for both customers and electricity companies. The development of the business models have been done using a model, which was based on the complexity of the frequency control market, the charging of vehicles and the behavior of the drivers. The proposed models address two types of customer segments; business and private customers. In addition, applying a perspective that includes active and non-active customers has segmented these further. Based on the assumptions in the thesis, the most promising area of interest is the non-active business customer, in this case, a car pool. This proposal was based on the simulation results together with an analysis of advantages and disadvantages with active and non-active customers. This proposal assumed that customers preferred to be non-active in order to maintain flexibility and freedom, which could be studied further by customer surveys.

In the next decade, electric vehicles (EV) will be heading to the road in a fast speed. Utility company would have no control over the future EV charging points or stations, and no direct control over periods and frequency of EV charging that could cause great effects to the existing distribution network operations if not well planned. Distribution system operation and expansion planning would become more complicated due to the high degree of uncertainty of the EV charging demand. Markov model is used in this study to calculate the probabilities and locations of EV charging. To mitigate the loading and voltage quality problem, feeder reconfiguration is proposed. The problem is formulated as an stochastic programming program with an objective function of minimizing total switching and system loss costs, and subject to radial structure of the distribution network and security constraints. The problem is solved by a binary particle swarm optimization technique. Test results indicate that feeder reconfiguration can be exercised to match loading patterns of different types of feeders (residential, commercial and industrial) with various stochastic charging scenarios, and consequently, reduce the impacts of EV charging and optimize the use of the existing network.

This paper explores how the concept of Vehicle to Grid (V2G) could bring benefits to California's electric grid, transportation sector, and environmental goals.

Uppsala’s population and infrastructure is expanding at a fast rate. This results in problems with supplying sufficient electrical power during peak hours such as early mornings and late evenings. One of the many ways to solve this issue is through peak shaving by using parked electrical vehicles as batteries to discharge into the power grid (vehicle-to-grid). In this report, the possibilies for peak shaving during peak hours in a mobility house called Dansmästaren are presented, as well as the possibilities for the vehicle-to-grid technology in the future. Dansmästaren has 60 available parking slots for electric vehicles, and a large central battery available.Through simulations using MATLAB, the results show that it’s possible to achieve a considarable degree of peak shaving, while battery degradation is kept reasonably low. Conclusions regarding vehicle-to-grid in the future are that there is a large potential for Vehicle-to-grid to become an important part of tomorrow’s energy system. However, continued research and development is necessary, as well as bigger focus on the social and economic aspects of this technology. A succesful implementation will require cooperation between the grid owners, the industry and the customers.

In Uppsala, there has been grid congestion in the electricity grid because of thegrowing demand for electricity in the region over the past ten years. This study aimsto explore the possibilities of using V2G as a solution to this problem. V2G isimplemented as a type of energy resource using the electric car's battery to supplythe property with electricity. In this way, the power peaks created may be reduced.This report aims to examine three different scenarios. The scenarios are simulated inMATLAB. Each scenario has different values for the significant factors such as thebattery size, the number of electric cars parked, and the charge and discharge speeds.The first scenario reflects the situation today, while the other scenarios explorescenarios of future vehicle fleets. This study shows that V2G is a theoretically feasibleresource for peak-power shaving for commercial properties in the future.Furthermore, the result shows that even with today's battery sizes and levels ofelectric cars in the vehicle fleet V2G can theoretically be implemented successfully.Further discussions regarding the future implementation of V2G and what is requiredboth socially and financially are also addressed shortly.

In this thesis, a method was developed to evaluate the impact of bidirectional electric vehicle (EV) charging on power system reliability using Synergi Electric software. Load profiles, EV availability, EV state-of-charge (SOC) were important factors considered in this study. The analysis in this study is based on local and interregional vehicle-to-grid (V2G) implementation at different load points in the system. In general, local V2G implementation is observed to be more effective in improving system reliability over interregional V2G power flow. System Average Interruption Duration Index (SAIDI) and System Average Interruption Frequency Index (SAIFI) improvements were observed to increase with increasing SOC but are less progressive between higher SOCs. Based on the simulation results, the method proves to be sufficient in calculating SAIDI and SAIFI reliability indices as the simulation results are corroborated with theory.

The transition from combustion engine vehicles to electric vehicles (EV) is an important step in achieving a carbon neutral society, but poses future difficulties in energy production. This is an issue in sustaining sufficient net energy, as well as providing sufficient power during hours of high demand. Vehicle to grid (V2G) may serve as a means of mitigating the power related issues. The main restraints are that battery state of charge (SoC) must be high enough when transportation is desired, and that the added energy flux through the battery causes additional wear. Furthermore, the production of batteries is heavily energy demanding, and the supply chain prompts environmental concerns. This study examines V2G profitability and environmental impact through modelling and simulation using Python. A battery degradation model is constructed based on life cycle versus depth of discharge, a N(D)-function. A V2G-system for one vehicle is simulated with t = 8736 h. Profitability is determined applying parameter optimization of maximum SoC and minimum difference in price of bought and sold energy. Evironmental impact is assessed with GWP100, and presented in terms of g CO2e per discharged kWh of energy from the battery. The results show that battery degradation is an important factor in determining profitability, but do indicate that profit is possible. However, the N(D) based modelling involves a risk of underestimating battery degradation due to insufficient model complexity. Calculated environmental impact is low, which is partly a result of low battery degradation, but there is a lack of similar studies on other energy storage methods, leading to difficulties in making useful comparisons.

Electric vehicles (EVs) offer significant advantages over conventional internal combustion engine vehicles, including zero emissions and convenient overnight charging. However, there are still several challenges that need to be addressed. These challenges include limited driving ranges, slow refueling options while on-the-go, concerns related to the supply of lithium for batteries, and emissions associated with certain sources of electricity generation, such as coal. Adding on-board solar generation and/or fuel cell range extenders to EVs can help to mitigate some of these challenges, but also adds the need for optimal power electronic converters to manage the power flow of these multiple on-board energy sources, which is the focus of this thesis. This thesis first performs a comprehensive review of EV onboard chargers (OBCs) including charger system requirements by different standards and codes and different DC/DC power converters in the current infrastructures. Various power levels are compared and evaluated based on their component ratings, efficiency, cost, and power density. Secondly, there has been recent interest in harnessing solar power within electric vehicles, leading to the emergence of solar-charged electric vehicles (SEVs), which can offer extended driving ranges and less need for grid charging. These vehicles also offer a new opportunity for distributed generation when their traction batteries are fully charged, and the plugged-in vehicle is still generating solar energy. However, this also presents a unique power electronic dilemma. The OBC must exhibit high efficiency in two scenarios: firstly, during normal charging from the grid at power levels around 6.6 kW, and secondly, during vehicle-to-grid operation at significantly lower solar power levels, typically below 800 W. Unfortunately, conventional OBC designs tend to have low efficiency when operating at light loads. To tackle this challenge, this thesis proposes a novel bidirectional LLC-based converter, for use within the OBC, that achieves higher vehicle-to-grid efficiency at light loads than a traditional dual bridge converter. Detailed PLECS simulation results and experimental results are presented to verify the circuit. Thirdly, the presence of manufacturing variations can introduce parameter mismatches, resulting in voltage imbalances across capacitors in the proposed converter, or in other resonant converters with multiple transformer windings and two series-connected capacitors with a center connection. Such voltage imbalances pose significant concerns regarding safety and reliability. However, the existing capacitor balancing strategies developed for other converter topologies are not directly applicable to these new resonant multi-winding topologies. To address this issue, this thesis presents a novel method for achieving capacitor voltage balancing in a resonant multi-winding converter. The proposed method employs a straightforward approach to determine the appropriate balancing switching states. Time domain analysis is conducted to quantify the number of control cycles required, and an adaptive control strategy is introduced to enhance the balancing performance. The effectiveness of the proposed method and the beneficial effects on the converter's efficiency and bus capacitor sizes are validated through experimental investigations involving multiple bus capacitor sizes. Finally, though SEVs offer advantages over non-solar EVs, some challenges remain such as lithium supply concerns for large batteries, slow recharging, and driving range that is still limited compared to conventional vehicles. Fuel cell range-extended vehicles (FCREVs) can add a small fuel cell and hydrogen tank to allow quick refueling for long trips, and still use a reduced-size plug-in battery for the majority of short trips. This allows the driver to use efficient and convenient overnight charging for most daily commutes, and refuel with hydrogen on long-distance driving days if hydrogen stations are available. The smaller battery means that lithium requirements are reduced. Further, by adding on-board solar generation to a FCREV (S-FCREV), range can be further extended and grid charging requirements can be reduced. However, using conventional separate converters for a S-FCREV would be complex and costly, having a high number of semiconductor devices. To overcome this, the thesis proposes a practical multi-port converter that fulfills S-FCREV requirements with reduced components. A novel triple PWM and triple phase shift (TPTPS) control is proposed. Simulation and experimental results validate the proposed topology's operation and efficiency, offering a promising solution for integrating power electronics in S-FCREV applications. / Thesis / Doctor of Philosophy (PhD) / In the pursuit of sustainable transportation, recent scholarly investigations have placed significant emphasis on the advancement of electric vehicles (EVs) with a particular focus on solar-charged EVs and fuel cell range-extended vehicles (FCREVs) in order to help mitigate some of the drawbacks of battery EVs such as limited driving range, long refueling times, and charging impacts on the grid. Power electronic converters play a crucial role in managing the transfer of power between multiple energy sources, such as on-board solar panels, fuel cells, batteries, and connection to the grid. The objective of this thesis is to propose novel topologies and control for power electronic converters in solar-charged EVs and solar-charged FCREVs. Firstly, a novel bidirectional DC/DC topology is proposed for solar-charged EVs that allows a high-efficiency transfer of excess solar energy to the grid when the EV battery is full. Additionally, a novel control methodology for balancing the DC bus capacitors is introduced, aiming to reduce capacitor size and mitigate circulating unbalanced currents. Lastly, this thesis presents the pioneering practical implementation of a multi-port converter for a solar-charged FCREV, along with its adaptable control approach, enabling efficient power flow management among the grid, on-board battery, solar panels, and fuel cell.

With the advent of electric vehicles (EVs) and the proliferation of vehicle technologies like drive-by-wire and autonomous driving, advanced communication protocols to connect vehicles and the infrastructure have been proposed. However, practical large-scale deployments have been hindered due to caveats such as hardware, and infrastructure demands — including the security of vehicles, given their ubiquitous nature and direct correlation to human safety. As part of this thesis, we look at deploying a practical solution to adopt a secure large-scale vehicle-to-everything (V2X) communication architecture. Then, we also try to analyze and detect vulnerabilities in vehicle-to-grid communication for electric vehicles. In the first work, we analyze, build a proof of concept and evaluate the use of commercial off-the-shelf (COTS) smartphones as secure cellular-vehicle-to-everything (CV2X) radios. Here, we study the various possible network topologies considering the long-term evolution (LTE) technology with necessary latency requirements considering security and the associated overhead. We further simulate the proposed method by considering real-world scalability for practical deployment. In the second work, we analyze the ISO15118 standard for EV-to-electric grid communication involving high levels of energy exchange. We develop a grammatical fuzzing architecture to assess and evaluate the implementation of the standard on a road-deployed vehicle to detect security vulnerabilities and shortcomings. / Master of Science / The technology around vehicles and the transportation infrastructure has immensely advanced in the last few decades. Today we have advanced technologies like driver assistance, automated driving, and access to multimedia within our vehicles. And deploying such technologies has only been possible due to advancements in the electronics embedded in the vehicles and surrounding infrastructure. Opportunely, we can further improve the technologies to include numerous safety features by connecting vehicles and infrastructure via communication networks. However, this poses immense challenges regarding the scaling of communication infrastructure for the timely exchange of data and its security. But, given the proliferation of cellular technology, the ubiquitous nature of smartphones, and their capabilities, we propose and evaluate the idea of using commercial off-the-shelf (COTS) smartphones to connect vehicles and the infrastructure to exchange data securely. The first work of this thesis details the analysis and evaluation of the system and the network for a secure COTS-based cellular-vehicle-to-everything architecture, including a proof of concept hardware implementation and additional simulations. Additionally, in light of climate policies and cleaner transportation alternatives, we are moving from gasoline-based internal combustion engines to electric vehicles, requiring the transfer of extended amounts of electric energy from the electric grid to the batteries in the vehicles. In light of the same, ISO 15118 standard was developed to reduce repetitive efforts and standardize the communication and exchange of this energy. But as with any new technology, especially involving communication, new attack vectors for malicious entities open up. Therefore, we study this new standard and develop a novel fuzzing architecture to test the implementation of the standard on deployed real-world vehicles for security vulnerabilities and robustness. Again, as this is a nascent technology and standard, a fuzzing approach would accelerate the detection of edge cases and threats before these are exploited to cause harm to human life and property.