Plug-In electric vehicles (PEV) are in an early market phase in almost all markets. Still, the lack of public charging infrastructure is a barrier to PEV adoption. The assessment of future charging infrastructure needs is often based on key figures, mainly the ratio of PEV to public charging points. However, countries differ regarding their framework conditions, e.g. the availability of home charging, and the question of how much public charging infrastructure is needed cannot be answered equally for all countries. Yet, studies analyzing the framework conditions for the medium- to long-term demand for charging infrastructure are rare. Here, we review the existing literature and summarize the evidence for the importance of framework conditions on charging infrastructure needs. Furthermore, we illustrate the literature evidence by comparing the framework conditions for charging infrastructure in different countries based on a comprehensive dataset of framework parameters. We find public charging infrastructure as alternative to home charging is only needed in some densely populated areas. However, framework conditions vary largely among countries. Accordingly, findings from literature for specific countries can only be transferred to other countries to a limited extent.

With the ever-pressing threat of a climate crisis, the EU has decided to become the first climate-neutral continent by 2050. This in turn will require the road transportation sector to make a transition from fossil dependent to fossil-free vehicles. Sweden has the objective to become net positive in GHG emissions by 2045. To be on track to reach this goal, the GHG emissions of the domestic transport sector must be reduced by 70% by 2030 compared to 2017’s levels. Electric vehicles (EVs) are leading the way in the transition to fossil-free vehicles. To further springboard the diffusion of EVs, the development of a fully functional EV charging network is required. In order to assist the transition to electric vehicles, this report aims to analyse the development of the public fast charging infrastructure in Norrland and Svealand from now to 2030. Additionally, identify geographical areas where an expansion of the public EV fast charging network is needed to cover the future demand of electrified passenger cars. However, there are two major hurdles in building a fast charging network with full coverage. The first is the high monthly costs of providing fast charging which needs a certain utilisation rate to cover the expenses. The second hurdle is the difficulty to receive a grid connection, in certain areas, at the required power output to be able to provide EV fast charging. Therefore, a semi-mobile battery solution used for EV charging is analysed through a business model perspective. The semi-mobile battery solution requires a lower grid connection hence it could be possible to implement public EV fast charging at a lower monthly cost and to develop the public EV fast charging network in otherwise technical difficult areas. A mixed-method approach including both quantitative and qualitative elements was utilised. Primarily, a study of 10 interviews with respondents from a range of different fields connected to EV charging and batteries was performed in combination with a literature review and document analysis. In addition, existing traffic flow data and data of fast-charging infrastructure, were converged via ArcGIS Pro to illustrate the coverage of the fast charging network. Furthermore, projections of the development of the EV fleet were used in order to forecast the flow of EVs in Norrland and Svealand by 2030. Based on these forecasts the future demand of public EV fast charging was analysed. Resulting in a map showing areas of interest, where there will arise a need to expand the charging infrastructure. These areas are Umeå to Piteå, Lycksele with proximity, Bollnäs to Ljusdal and Leksand to Älvdalen. Additionally, the exiting public fast charging infrastructure was identified to require expansion of existing charging stations due to the increased traffic flow of EVs by 2030. The upgrade of existing stations was further assessed to be required to meet both a permanent and seasonal demand, hence making semi-mobile battery supported charging an attractive solution. Furthermore, the design of a semi-mobile battery supporting public EV fast charging was identified to be influenced by situational aspects and that the location-specific conditions were vital in determining profitability for a specific case. For example, the power output in the EV chargers should be adapted to the specifications of the geographical location and the customer segment identified. The energy storage capacity of the battery should also be designed based on the conditions of the location. A connection to the electricity grid exceeding 0.1 MW was also important since it enables the semi-mobile battery to provide additional services to the electricity grid and hence increase revenue streams. Furthermore, FCR-D Up was determined to be the most suitable complementary service to integrate into the system. One major challenge for the semi-mobile battery, based on a business model perspective, is the high costs for semi-mobile batteries and EV fast charging station hardware. However, these costs are projected to continue to decrease and consequently, improve the opportunities for semi-mobile lithium-ion batteries.

No description available.

This thesis presents the study and the design analysis of apermanent magnet synchronous motor (PMSM) for the tractionapplication of an electric vehicle. An existing inductiontraction motor for an electric forklift benchmarks the expectedperformances of the proposed PMSM design. Further, thepossibility of using the identical stator as the one used inthe induction motor is explored for the fast prototyping. Theprototype motor is expected to be field-weakened and to have aconstant power speed range (CPSR) of 2.5 to 3. A design approach based on the CPSR contour plot in aninterior permanent magnet (IPM) parameter plane is derived toobtain the possible designs that meet all the designspecifications and the targeted CPSR. This study provides thepossible alternative designs for the subsequent futureprototype motors. An analytical approach to estimate the iron loss in PMsynchronous machines is developed and included in the designprocedure. The proposed technique is based on predicting theflux density waveforms in the various regions of the machine.The model can be applied at any specified load condition,including the field-weakening operation region. This model canbe ultimately embedded in the design process for a routine usein loss estimations. The first prototype motor with an inset permanent magnetrotor has been built and the available measurements are used tovalidate the design performance. In particular, the thermalanalyses based both on the lumped-circuit approach and thenumerical method are compared with the measured results. Asecond and possibly a third prototype motor targeting a widerand higher performance will be carried out in the continuingphase of the project. Keywords:Constant Power Speed Range, Electric Vehicles,Field-weakening, Reference Flux Linkage, Iron Loss, PermanentMagnet Synchronous Motor, Thermal Analysis / <p>QCR 20161026</p>

Indiana University-Purdue University Indianapolis (IUPUI) / An increase in the awareness of environmental conservation is leading the automotive industry into the adaptation of alternatively fueled vehicles. Electric, Fuel-Cell as well as Hybrid-Electric vehicles focus on this research area with the aim to efficiently utilize vehicle powertrain as the first step. Energy and Power Management System control strategies play a vital role in improving the efficiency of any hybrid propulsion system. However, these control strategies are sensitive to the dynamics of the powertrain components used in the given system. A kinematic mathematical model for Plug-in Hybrid Electric Vehicle (PHEV) has been developed in this study and is further optimized by determining optimal power management strategy for minimal fuel consumption as well as NOx emissions while executing a set drive cycle. A multi-objective optimization using weighted sum formulation is needed in order to observe the trade-off between the optimized objectives. Particle Swarm Optimization (PSO) algorithm has been used in this research, to determine the trade-off curve between fuel and NOx. In performing these optimizations, the control signal consisting of engine speed and reference battery SOC trajectory for a 2-hour cycle is used as the controllable decision parameter input directly from the optimizer. Each element of the control signal was split into 50 distinct points representing the full 2 hours, giving slightly less than 2.5 minutes per point, noting that the values used in the model are interpolated between the points for each time step. With the control signal consisting of 2 distinct signals, speed, and SOC trajectory, as 50 element time-variant signals, a multidimensional problem was formulated for the optimizer. Novel approaches to balance the optimizer exploration and convergence, as well as seeding techniques are suggested to solve the optimal control problem. The optimization of each involved individual runs at 5 different weight levels with the resulting cost populations being compiled together to visually represent with the help of Pareto front development. The obtained results of simulations and optimization are presented involving performances of individual components of the PHEV powertrain as well as the optimized PMS strategy to follow for a given drive cycle. Observations of the trade-off are discussed in the case of Multi-Objective Optimizations.

Electric Vehicles is regarded as an important solution for emission reduction. But, the adoption to it is still a problem in many countries. With survey data containing demographic and attitude factors of respondents, this paper proposes two classification models: logistic regression and random forest using the Multiple Correspondence Analysis (MCA) as an intermediate step to identify the factors affecting the willingness of electric vehicles purchase. The analysis shows that the addition of MCA does enhance the explanatory power while it takes a low cost on prediction performance, and the results reveal that characteristics such as frequency of using modern transport services, car-sharing subscription, living place, mode of frequent trip do have a significant impact on EV purchases.

Electric vehicles are revolutionizing the way we travel. Climate change and policies worldwide are pushing the vehicle market towards a more sustainable future through electric vehicles. However, can these solutions be considered safe and secure? Because of the entirely new attack vector that is charging, many new security concerns are present in this new type of vehicle that did not exist in combustion engine vehicles. Here, a literature study of the current situation surrounding electric vehicle charging and the ISO 15118 standard is presented. In addition to this, a risk analysis of currently implemented solutions for electric vehicle charging is also presented. The purpose is to unveil what weaknesses that are present in modern electric vehicle communication standards and how secure electric vehicles on the road today really are. The results indicate that there are vulnerabilities present in electric vehicles today that require radical improvements to the charging security to provide a safer way of traveling for the future. A list of proposed countermeasures to found vulnerabilities as well as verification methods are also presented as part of this paper. The comprehensive study presented here acts as an excellent foundation for future projects but also for organizations to address critical areas within charging security.

Deteriorating air quality has attracted the interest of policymakers in most parts of the world. Poor air quality is behind many severe health problems on both a global and a local scale. While decarbonization is the primary driver behind the push for broader adoption of electric cars, we hypothesize the presence of significant co-benefits from adopting electric cars, such that electrifying the mode of transportation might reduce air pollution. To test this hypothesis, we evaluated panel data for the stock of electric cars and emissions of nitrogen oxides (NOX) from Swedish municipalities between 2010-2019 using OLS models with fixed effects. The analysis suggests a significant negative correlation between the stock of electric cars and emissions of NOX. The presence of co-benefits suggests a stronger case for subsidizing the adoption of electric cars, beyond the level climate considerations warrant.

<p>  </p> <p>Present barriers to electric vehicle (EV) adoption include cost and range anxiety. Dynamic wireless power transfer (DWPT) systems, which send energy from an in-road transmitter to a vehicle in motion, offer potential remedies to both issues. Specifically, they reduce the size and charging needs of the relatively expensive battery system by supplying the power required for vehicle motion and operation. Recently, Purdue researchers have been exploring the development of inductive DWPT systems for Class 8 and 9 trucks operating at highway speeds. This research has included the design of transmitter/receiver coils as well as compensation circuits and power electronics that are required to efficiently transmit 200 kW-level power across a large air gap.</p> <p>In this thesis, a focus is on the derivation of electromagnetic and thermal models that are used to support the design and validation of DWPT systems. Specifically, electromagnetic models have been derived to predict the volume and loss of ferrite-based AC inductors and film capacitor used in compensation circuits. A thermal equivalent circuit of the transmitter has been derived to predict the expected coil and pavement temperatures in DWPT systems that utilize either single- or three-phase transmitter topologies. A description of these models, along with their validation using finite element-based simulation and their use in multi-objective optimization of DWPT systems is provided.</p>

¿Sabías que los vehículos eléctricos como transporte serian la solución tecnológica para la contribución con el cuidado del medio ambiente? Decimos esto porque hoy en día los vehículos eléctricos son de rápida implementación que contribuye a resolver el problema de la contaminación del medio ambiente, con un transporte ecológico también se mejora la calidad del aire ya que a la circular no emiten el CO2 porque el motor no emite ningún tipo de humo, debido a que estos son impulsados por uno o varios motores eléctricos en vez de motores de combustión (gasolina o diésel). Ahora ¿Tenias conocimiento que los vehículos eléctricos se recargan por 8 horas y tienen una capacidad especifica de kilometraje de duración de recarga y que las baterías se pueden enchufar a la red cuando estén estacionados? En comparación con los vehículos de motor de combustión, el transporte eléctrico tiene ventajas obvias en cuanto a las emisiones y nuestra salud, ya que solo el transporte es responsable de cerca del 23% de las emisiones de dióxido de carbono energéticas a nivel mundial. Lo que se pretende es lanzar al mercado son estaciones de recarga se podría reducir el tiempo de carga en 20minutos en lugares estratégicos sin necesidad de regresar a casa. Actualmente casi el 80% de los dueños de los vehículos realizan sus cargas en sus propios domicilios, por ello las diferencias entre cargar en estaciones y los hogares, es que en los hogares puede demorar entre 4 y 6 horas una recarga completa. / Did you know that electric vehicles as transport would be the technological solution for the contribution to caring for the environment? We say this because nowadays electric vehicles are of rapid implementation that contributes to solving the problem of environmental pollution, with an ecological transport the air quality is also improved since in the circular they do not emit CO2 because the engine does not emit no smoke, because they are powered by one or more electric motors instead of combustion engines (gasoline or diesel). Now, did you know that electric vehicles recharge for 8 hours and have a specific capacity of mileage of recharge duration and that batteries can be plugged into the network when parked?. Compared to combustion engine vehicles, electric transport has obvious benefits in terms of emissions and our health, as transport alone is responsible for around 23% of global energy carbon dioxide emissions. What is intended is to launch to the market are recharging stations, the charging time could be reduced by 20 minutes in strategic places without the need to return home. Currently, almost 80% of vehicle owners carry out their charges in their own homes, so the differences between charging at stations and in homes is that in homes it can take 4 to 6 hours to fully recharge. / Trabajo de investigación