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Добірка наукової літератури з теми "Electric vehicle integration"

Автор: Grafiati
Опубліковано: 11 січня 2025

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Статті в журналах з теми "Electric vehicle integration"

1

Simarro-García, Ana, Raquel Villena-Ruiz, Andrés Honrubia-Escribano, and Emilio Gómez-Lázaro. "Effect of Penetration Levels for Vehicle-to-Grid Integration on a Power Distribution Network." Machines 11, no. 4 (March 23, 2023): 416. http://dx.doi.org/10.3390/machines11040416.

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Анотація:
With the exponential growth of electric vehicle sales worldwide over the past years and progress in technology and actions to combat climate change by reducing greenhouse gas emissions, the trend is expected to continue with a significant increase in the deployment of electric vehicles and plug-in hybrids. Given these circumstances, it is essential to identify the constraints that this increase in the number of electric vehicle charging stations poses for the electricity system. Therefore, the analysis developed in this paper discusses the effect of integrating electric vehicle charging stations in a real distribution network with different penetration levels. For this purpose, a typical electric system in Greece, managed by the Greek distribution system operator (HEDNO), is modeled and simulated in DIgSILENT PowerFactory software, one of the most widely used simulation tools in the electricity sector. To study the feasibility of connecting electric vehicle charging stations to the network, different case studies are presented, showing changes in the quantity of electric vehicles feeding power into the network through vehicle-to-grid technology. Quasi-dynamic simulations are used to analyze and discuss the voltage profiles of the system nodes, active power flows with the external source and power losses of the distribution network to determine whether the system is capable of supporting the increase in load produced by the electric vehicle charging stations and to promote awareness of the benefits of implementing vehicle-to-grid connections.
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2

Zainuri, Fuad, Danardono A. S. Danardono A.S, M. Adhitya, R. Subarkah, Rahman Filzi, Tia Rahmiati, M. Hidayat Tullah, et al. "Analytical Conversion of Conventional Car to Electric Vehicle Using 5KW BLDC Electric Motor." Jurnal Penelitian Pendidikan IPA 10, no. 9 (September 25, 2024): 6703–8. http://dx.doi.org/10.29303/jppipa.v10i9.8599.

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The automotive industry is witnessing a paradigm shift towards sustainable and eco-friendly transportation solutions. This project aims to contribute to this transition by converting a conventional internal combustion engine (ICE) car into an electric vehicle (EV) using a 5 kW Brushless DC (BLDC) electric motor. The conversion involves the removal of the traditional engine components and the integration of an electric propulsion system. The key components of the conversion include the BLDC motor, motor controller, battery pack, and associated power electronics. The BLDC motor is chosen for its efficiency, reliability, and compact design, making it suitable for retrofitting into existing vehicles. The motor controller manages the power supplied to the BLDC motor, ensuring optimal performance and efficiency. The project explores the challenges and solutions encountered during the conversion process, including adapting the vehicle's chassis to accommodate the new components, integrating a charging system, and addressing safety considerations. Additionally, efforts are made to optimize the overall weight distribution and maintain the vehicle's original handling characteristics. Performance testing is conducted to evaluate the acceleration, top speed, and overall efficiency of the converted electric vehicle. The results are compared with the original performance specifications of the conventional car to assess the success of the conversion. This project not only showcases the technical feasibility of converting conventional cars to electric vehicles but also highlights the environmental benefits associated with reducing reliance on fossil fuels. The findings contribute valuable insights to the growing field of electric vehicle conversions and promote sustainable transportation solutions.
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3

Fang, Tingke, Annette von Jouanne, Emmanuel Agamloh, and Alex Yokochi. "Opportunities and Challenges of Fuel Cell Electric Vehicle-to-Grid (V2G) Integration." Energies 17, no. 22 (November 12, 2024): 5646. http://dx.doi.org/10.3390/en17225646.

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Анотація:
This paper presents an overview of the status and prospects of fuel cell electric vehicles (FC-EVs) for grid integration. In recent years, renewable energy has been explored on every front to extend the use of fossil fuels. Advanced technologies involving wind and solar energy, electric vehicles, and vehicle-to-everything (V2X) are becoming more popular for grid support. With recent developments in solid oxide fuel cell electric vehicles (SOFC-EVs), a more flexible fuel option than traditional proton-exchange membrane fuel cell electric vehicles (PEMFC-EVs), the potential for vehicle-to-grid (V2G)’s implementation is promising. Specifically, SOFC-EVs can utilize renewable biofuels or natural gas and, thus, they are not limited to pure hydrogen fuel only. This opens the opportunity for V2G’s implementation by using biofuels or readily piped natural gas at home or at charging stations. This review paper will discuss current V2G technologies and, importantly, compare battery electric vehicles (BEVs) to SOFC-EVs for V2G’s implementation and their impacts.
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4

Shrishail Hatti. "A Study on Latest trends in Automobile Industries with Reference to Electric Vehicles and Smart Grids." International Research Journal on Advanced Engineering and Management (IRJAEM) 2, no. 08 (August 29, 2024): 2779–85. http://dx.doi.org/10.47392/irjaem.2024.0404.

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Анотація:
Automobile is trending now a day because every use personal vehicle for travelling and this paper reveals some of the aspects about the one of the personal vehicles i.e Electric Vehicle and further about Smart grids for that electric vehicle. This is about how Electrical Vehicles can contribute to grid stabilization, simulation-based research for smart charging, grid communication, block chain based technology for Electric Vehicles with the purpose of achieving the international environmental and sustainable goals. Smart grid and future electric vehicle is the most emerging issues that are integrating in the near future. With the increase numbers of EV’s, new challenges are imposed to the grid, in terms of synergistic, continuous, dynamic, and stable integration of electric mobility problems. What was impossible to achieve back in history, eliminating Electrical Vehicles from the market due to its disadvantages is now possible via the Smart Grid integration. This paper presents a review of electrical vehicles and the novel proposals on how to smartly integrate it into the Smart Grid. Moving forward the future characteristic of a smart grid includes, flexibility being able to adapt to the changing needs that a system could require, clever and safe these are the values of the smart grid, efficient where minimizing new infrastructure for electrical grid is the aim, open to be integrated with renewable energies safely, and finally sustainable a key point to the future environment and sociable acceptance. Due to the world vision of smart grid, things are changing rapidly.
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5

Zaman, Shah, Nouman Ashraf, Zeeshan Rashid, Munira Batool, and Javed Hanif. "Integration of EVs through RES with Controlled Interfacing." Electrical, Control and Communication Engineering 19, no. 1 (June 1, 2023): 1–9. http://dx.doi.org/10.2478/ecce-2023-0001.

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Анотація:
Abstract Electric cars have a lot of promise in future energy markets as a manageable load. A popular vehicle-to-grid control interface, which enables the aggregation of the charging mechanism for energy management in the distribution grid, is one of the most significant road blocks to realize this opportunity. Understanding the ecology of electric transportation and integrating it in local communities to alleviate the energy shortage at peak hours is very complicated. In this research paper, recent standardization initiatives aimed at overcoming obstacles such as the integration of electric cars into smart grids are discussed. A charge control scheme focused on vehicle-to-grid connectivity is implemented. It is observed that the rise of environmentally sustainable energy sources, such as photovoltaic (PV) and wind energy, is straining the power network and their infrequent power generation is causing problems in power system operation, regulation and planning. The introduction of electric vehicles (EVs) into the electricity grid has been proposed to overcome grid load variations. Finally, the article discusses the incorporation of renewable energy sources and latest potential solutions involving electric vehicles.
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6

Ota, Yutaka. "Electric Vehicle Integration into Power Systems." IEEJ Transactions on Power and Energy 138, no. 9 (September 1, 2018): 753–56. http://dx.doi.org/10.1541/ieejpes.138.753.

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7

Ota, Yutaka. "Electric vehicle integration into power systems." Electrical Engineering in Japan 207, no. 4 (June 2019): 3–7. http://dx.doi.org/10.1002/eej.23168.

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8

Hao, Ceng Ceng, Yue Jin Tang, and Jing Shi. "Study on the Harmonic Impact of Large Scale Electric Vehicles to Grid." Applied Mechanics and Materials 443 (October 2013): 273–78. http://dx.doi.org/10.4028/www.scientific.net/amm.443.273.

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Анотація:
Large scale electric vehicles integration into power grid, as nonlinear loads, will pose inevitable impacts on the operation of power system, one of which the harmonic problem will affect the power quality greatly. Firstly, the article analyzes the characteristics of harmonic caused by electric vehicle charging. And then, the harmonic flow distribution is analyzed based on the IEEE standard node systems. During transient analyses, the electric vehicle charging stations connected to electric grid are represented as harmonic sources. Results show that structure and voltage grade of electric grid, capacity and access points of electric vehicle charging load will have different effects on harmonic problem. At last, a few conclusions are given for connecting electric vehicles to electric grid.
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9

Hariprasad, Besta, Goturu Sreenivasan, Sambugari Anil Kumar, and Bestha Mallikarjuna. "Vehicle-to-Grid Power Transfer Method for Electric Vehicles using off-board charger." International Journal of Electrical and Electronics Research 12, no. 4 (November 30, 2024): 1203–10. https://doi.org/10.37391/ijeer.120411.

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Анотація:
This article explores a power transfer technique from vehicle to grid (V2G) via the construction of an off-board charger for electric cars (EVs). The charger accommodates several charging modes, such as grid-to-vehicle (G2V), vehicle-to-vehicle (V2V), and vehicle-to-grid (V2G), facilitating efficient and adaptable energy management. In G2V mode, the charger utilizes grid power to recharge electric vehicle batteries, whilst V2V mode enables direct energy transfer between electric vehicles, circumventing the grid. The novel integration of G2V and V2V modes enables the concurrent use of grid electricity and energy from other electric vehicles, therefore diminishing grid reliance and enhancing power efficiency. The system has a three-phase pulse width modulation (PWM) rectifier that sustains a constant DC link voltage and attains a unity power factor on the grid side, therefore adhering to the IEEE 519 standard for total harmonic distortion (THD). Furthermore, a half-bridge bidirectional DC/DC converter guarantees consistent charging and discharging currents, hence improving the reliability and efficiency of the charging process. This holistic strategy enhances dynamic energy flow and grid stability while providing possible economic advantages to electric vehicle owners and operators via the integration of renewable energy sources and sophisticated management algorithms for improved energy use and storage.
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10

Ray, Richik. "Series-Parallel Hybrid Electric Vehicle Parameter Analysis using MATLAB." International Journal for Research in Applied Science and Engineering Technology 9, no. 10 (October 31, 2021): 421–28. http://dx.doi.org/10.22214/ijraset.2021.38433.

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Анотація:
Abstract: In this paper, a MATLAB based Simulink model of a Series-Parallel Hybrid Electric Vehicle is presented. With the advent of Industry 4.0, the usage of Big Data, Machine Learning, Internet of Things, Artificial Intelligence, and similar groundbreaking domains of technology have usurped manual supervision in industrial as well as personal scenarios. This is aided by the drastic shift from orthodox and conventional Internal Combustion Engine based vehicles fuelled by fossil fuels in the order of petrol, diesel, etc., to fully functional electric vehicles developed by renowned companies, for example Tesla. Alongside 100% electric vehicles are hybrid vehicles that function on a system based on the integration of the conventional ICE and the modern Electric Propulsion System, which is referred to as the Hybrid Vehicle Drivetrain. Designs for modern HEVs and EVs are developed on computer software where simulations are run and all the essential parameters for the vehicle’s performance and sustainability are run and observed. This paper is articulated to discuss the parameters of a series-parallel HEV through an indepth MATLAB Simulink design, and further the observations are presented. Keywords: ICE (Internal Combustion Engine), HEV (Hybrid Electric Vehicle), Drivetrain, MATLAB, Simulink, PSD (Power Split Device), Vehicle Dynamics, SOC (State-of-Charge)
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Більше джерел

Дисертації з теми "Electric vehicle integration"

1

Xi, Xiaomin. "Challenges in Electric Vehicle Adoption and Vehicle-Grid Integration." The Ohio State University, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=osu1366106454.

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2

Wagner, David. "Sustaining Uber: Opportunities for Electric Vehicle Integration." Scholarship @ Claremont, 2017. http://scholarship.claremont.edu/pomona_theses/168.

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Анотація:
Uber and Lyft, the “unregulated taxis” that are putting traditional taxi companies out of business, are expanding quickly and changing the landscape of urban transportation as they go. This thesis analyzes the environmental impacts of Transportation Network Companies, particularly in California, with respect to travel behavior, congestion, and fuel efficiency. The analysis suggests that fuel efficient taxis are being replaced by less fuel efficient Uber and Lyft vehicles. Linear regressions were run on data from the Clean Vehicle Rebate Project’s Electric Vehicle Consumer Survey of electric vehicle owners in California. The findings indicate that Uber drivers are more reliant upon the state rebate than the general population of electric vehicle owners in California.
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3

Li, Mengyu. "GIS-BASED MODELING OF ELECTRIC VEHICLES AND THE AUSTRALIAN ELECTRICTY GRID." Thesis, The University of Sydney, 2019. https://hdl.handle.net/2123/21880.

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Анотація:
The decarbonisation of transport and power supply sectors is key to achieving global and national emissions cut targets in line with Paris Agreement’s limiting global warming goals. Electric vehicles (EVs), coupled with large adoption of renewable energy (RE) resources in the power system, offer such carbon mitigation solutions. However, due to the unknown spatio-temporal variability of EV charging load, introducing large quantities of EVs and high shares of variable wind and solar energy poses challenges to the load balance management. Against this background, this thesis examines the potential role of flexible EV loads and diverse energy resources in decarbonisation of the transport and electricity supply sectors. The main content of this thesis includes: First, based on real-world vehicle driving survey data, I present a deterministic and a probabilistic model to quantitatively investigate the spatio-temporal distribution of EV charging load for Australia. Second, I present a cross-sectoral integrated EV-grid model for accessing various energy supply and demand scenarios with high spatio-temporal resolution. I quantify the impacts of EV charging demand on the current fossil-based power system in terms of its electricity generation, LOLP and levelized cost of electricity (LCOE) in Australia. Third, I further investigate spatio-temporal configurations of the least-cost 100% renewable power supply in Australia, at various levels of biomass resource use and concentrated solar power (CSP) penetration. Fourth, I utilize the EV-grid integrated model to examine the spatio-temporal interactions of widespread EV charging with a future, 100% renewable electricity system in Australia. I obtain least-cost grid configurations that include both RE generators and EVs, the latter under both uncontrolled and controlled charging, and under adoption rates between 0 and 100%.
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4

FLAMMINI, MARCO GIACOMO. "Reference electric distribution network modelling and integration of electric vehicle charging stations." Doctoral thesis, Politecnico di Torino, 2020. http://hdl.handle.net/11583/2827703.

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Анотація:
Smartcities,withprosumersatthecentre,areatthefrontlineoftheenergytransition. The national and international policies should encourage then this transition by promoting, among many aspects, energy digitalization, massive penetration of renewable energies and electrification of the transport sector. To embrace all these changes, a holistic view, covering not only the distribution system, is necessary to plan, design and reorganize in particular urban areas. The radical distribution networks transformation is monitored and presented, both considering technical and non-technical aspects, which aims at encouraging potential directions that distribution system operators can pursue. The thesis work has three main objectives. From the distribution system operator (DSO) perspective, the main objective is to investigate how the technical and non-technical features vary among distribution system networks in Europe. From the modelling perspective, the second main objective is firstly to define a method which incorporates the previous findings to properly design a tool able to reproduce representative urban networks and secondly to validate the results through a statistical methodology. From the electric vehicle’s infrastructure perspective, the thirdmainobjectiveisfirstlytounderstandtheelectricvehiclesdemandbehaviour and develop models capable of reproducing them, and secondly to assess, through a dedicated methodology, the electric vehicles charging infrastructure features and performance. Theresultsfromthisthesisindicatesthattheincreasingattentiontowardthedistribution sector should not be underestimated by the main actor, distribution system operator, which appears to have different approaches in smartening and digitalizing their network especially concerning electric mobility, demand response and data management between distribution and transmission system operators (TSO). It is urgent for policy makers and stakeholders involved to align distribution system operators to a common strategy to tackle the introduction in the distribution network grids of new players. Tools like DiNeMo platform applied in this thesis may be used to perform preliminary research studies concerning the installation of newcharginginfrastructure, renewableenergygeneratorsornetworkreinforcement analysis. Indeed, it is crucial for regulators to take into account the physical layer of distribution grids when designing new policies and incentives in order to address challenges of tomorrow’s cities.
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5

Berthold, Florence. "Integration of Plug-in Hybrid Electric Vehicle using Vehicle-to-home and Home-to-Vehicle Capabilities." Thesis, Belfort-Montbéliard, 2014. http://www.theses.fr/2014BELF0241/document.

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Le challenge de ces prochaines années est de réduire le plus possible les émissions de CO2 qui la première cause du réchauffement climatique. L’émission de CO2 est principalement due à l’utilisation du moteur thermique dans le milieu du transport. Pour diminuer cette émission, la solution réside à utiliser des véhicules électriques qui sont non polluants et rechargés par des sources émettant le moins possible de CO2. Mais cela impliquerait une production supplémentaire d’énergie. Aujourd’hui l’énergie électrique est produite principalement par des centrales thermiques au niveau mondial, des centrales nucléaires enFrance et des centrales hydrauliques au Québec. Les pics d’utilisations et de productions restant une problématique posant encore beaucoup de problèmes.Une utilisation croissante de véhicules électriques ou hybrides rechargeables permettrait de pouvoir disposer de systèmes de stockage d’énergie, permettant à la fois d’alimenter le moteur électrique du véhicule ou d’aider le réseau électriques. Ce flux est appelé Vehicle-to-Grid ou plus précisément dans le travail présenté ici, ce flux s’appelle Vehicle-to-Home. Alimenter la maison via la batterie du véhicule, permet de diminuer le pic de consommation du foyer. De plus, la batterie du véhicule peut être chargée durant la nuit lorsque la production d’énergie est au plus bas et la moins chère.Ce document présente une optimisation offline du système qui inclut les différents flux d’énergie. Cette optimisation a été réalisée à l’aide de la programmation dynamique. L’objectif de cette optimisation est de minimiser le coût de l’énergie que ce soit le coût de l’essence ou de l’électricité ou encore des énergies renouvelables installées localement.Ensuite deux contrôleurs flous localisés dans le véhicule et dans la maison ont été dimensionnés, testés par simulation (simulation online) et validés expérimentalement.Finalement cette recherche a mis en avant deux cas d’études: un en hivers et l’autre en été. Le cas d’hiver présente une réduction budgétaire de 40% dans la simulation offline, 27% dans la simulation online et 29% en expérimentation. D’autre part, le cas d’été montre une réduction budgétaire de 62% dans la simulation offline, 60% dans la simulation online et 64% en expérimentation
The challenge for the next few years is to reduce CO2 emissions, which are the cause of global climate warming. CO2 emissions are mainly due to thermal engines used in transportation. To decrease this emission, a viable solution lies in using non-polluting electric vehicles recharged by low CO2 emission energy sources. New transportation penetration has effected on energy production. Energy production has already reached peaks. At the same time, load demand has drastically increased. Hence, it has become imperative to increase daily energy production. It is well-known that world energy production is mainly produced thermal pollutant power plants, except in Québec, where energy is produced by hydro power plants.The more recent electricity utility trend is that electric, and plug-in hybrid electric vehicles (EV, PHEV) could allow storage and/or production of energy. EV/PHEV batteries can supply the electric motor of the vehicle, and act as an energy storage that assists the grid to supply household loads. This power flow is called vehicle-to-grid, V2G. In this dissertation, the V2G power flow is specifically called vehicle-to-home, V2H. That is battery is used during peak. Moreover, the EV battery is charged during the night, when energy production is low and cheap. This important aspect of V2H is that the vehicle battery is not connected to the grid, but is a part of a house micro-grid.This dissertation presents an offline optimization technique, which includes different energy flows, between the home, EV/PHEV, and a renewable energy source (such as photovoltaic - PV and/or wind) which forms the micro-grid. This optimization has been realized through the dynamic programming algorithm. The optimization objective is to minimize energy cost, including fuel cost, electricity cost, and renewable energy cost.Two fuzzy logic controllers, one located in the vehicle and the second one in the house, have been designed, tested by simulation (online simulation) and validated by experiments.The research analyses two seasonal case studies: one in winter and the other one in summer. In the winter case, a cost reduction of 40% for the offline simulation, 27% for the online simulation and 29% for the experiment is realized whereas in the summer case a cost reduction of 62% for the offline simulation, 60% for the online simulation and 64% for the experiment is presented
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6

GUERCIONI, GUIDO RICARDO. "Integration of dual-clutch transmissions in hybrid electric vehicle powertrains." Doctoral thesis, Politecnico di Torino, 2018. http://hdl.handle.net/11583/2706035.

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Анотація:
This dissertation presents a study focused on exploring the integration of Dual-Clutch Transmissions (DCTs) in Hybrid Electric Vehicles (HEVs). Among the many aspects that could be investigated regarding the electrification of DCTs, research efforts are undertaken here to the development of control strategies for improving vehicle dynamic performance during gearshifts and the energy management of HEVs. In the first part of the dissertation, control algorithms for upshift and downshift maneuvers are developed for a Plug-in Hybrid Electric Vehicle (PHEV) architecture in which an electric machine is connected to the output of the transmission, thus obtaining torque filling capabilities during gearshifts. Promising results, in terms of the vehicle dynamic performance, are obtained for the two transmission systems analyzed: Hybrid Automated Manual Transmission (H-AMT) and Hybrid Dual-Clutch Transmission (H-DCT). On the other hand, the global optimal solution to the energy management problem for a PHEV equipped with a DCT is found by developing a detailed Dynamic Programing (DP) formulation. The main control objective is to reduce the fuel consumption during a driving mission. Based on the DP results, a novel real-time implementable Energy Management Strategy (EMS) is proposed. The performance of such controller, in terms of the overall fuel usage, is close to that of the optimal solution. Furthermore, the developed approach is shown to outperform a well-known causal strategy: Adaptive Equivalent Consumption Minimization Strategy (A-ECMS). One of the main aspects that differentiates the EMSs proposed here to those presented in previous works is the introduction of a model to estimate the energy consumption during gearshifts in DCTs. Thus, this dissertation illustrates how through the electrification of powertrains equipped with DCTs both the vehicle dynamic performance and the energy consumption can be improved.
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7

Cooke, David William. "Powertrain Modeling, Design, and Integration for the World’s Fastest Electric Vehicle." The Ohio State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=osu1431081117.

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8

Mowry, Andrew Maxwell. "Integration challenges for fast-charging infrastructure to support electric vehicle adoption." Thesis, Massachusetts Institute of Technology, 2020. https://hdl.handle.net/1721.1/129127.

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Анотація:
Thesis: S.M. in Technology and Policy, Massachusetts Institute of Technology, School of Engineering, Institute for Data, Systems, and Society, Technology and Policy Program, September, 2020
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 59-64).
Highway fast-charging stations located between major population centers are necessary to address consumer charging concerns and thus to support the continued adoption of electric vehicles to meet decarbonization policy targets. Yet such stations, if sized to support anticipated demand, may cause operational difficulties on the power grid. Using a spatially resolved model of the power transmission network and a detailed market simulator, we characterize the effects of large-scale EV fast-charging on the Texas ERCOT system. We further explore three strategies to mitigate these effects -- energy storage colocation, network reinforcement, and demand flexibility --
and quantify their costs. This analysis is unique in its focus on highway fast-charging, in its nodal representation of the power grid, and in its measurement of transmission-level impacts. We find that highway fast-charging stations do have the potential to cause transmissionlevel impacts, especially by exacerbating local transmission constraints. Inter-zonal transfer constraints and increased costs due to the dispatching of more expensive generation also contribute to system costs. We develop a general method to identify the most impactful charging stations, but we find that the determination of cost-effective mitigation strategies for each station requires a more tailored approach. Our analysis indicates that transmission reinforcement and battery co-location are relatively competitive mitigation strategies, but that demand flexibility is not.
When considering policies to promote fast-charger development, policymakers should focus on involving multiple stakeholders who can contribute different expertise to identify costefficient solutions. Specifically, we suggest a central role for power utilities due to their experience planning transmission reinforcement, but we also highlight an important role for private developers, especially in the United States, for political feasibility and overall cost controls.
by Andrew Maxwell Mowry.
S.M. in Technology and Policy
S.M.inTechnologyandPolicy Massachusetts Institute of Technology, School of Engineering, Institute for Data, Systems, and Society, Technology and Policy Program
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9

Kang, Xueying. "Vehicle-infrastructure integration (VII) enabled plug-in hybrid electric vehicles (PHEVS) for traffic and energy management." Connect to this title online, 2009.

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10

Mohamed, Ahmed A. S. Mr. "Bidirectional Electric Vehicles Service Integration in Smart Power Grid with Renewable Energy Resources." FIU Digital Commons, 2017. https://digitalcommons.fiu.edu/etd/3529.

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As electric vehicles (EVs) become more popular, the utility companies are forced to increase power generations in the grid. However, these EVs are capable of providing power to the grid to deliver different grid ancillary services in a concept known as vehicle-to-grid (V2G) and grid-to-vehicle (G2V), in which the EV can serve as a load or source at the same time. These services can provide more benefits when they are integrated with Photovoltaic (PV) generation. The proper modeling, design and control for the power conversion systems that provide the optimum integration among the EVs, PV generations and grid are investigated in this thesis. The coupling between the PV generation and integration bus is accomplished through a unidirectional converter. Precise dynamic and small-signal models for the grid-connected PV power system are developed and utilized to predict the system’s performance during the different operating conditions. An advanced intelligent maximum power point tracker based on fuzzy logic control is developed and designed using a mix between the analytical model and genetic algorithm optimization. The EV is connected to the integration bus through a bidirectional inductive wireless power transfer system (BIWPTS), which allows the EV to be charged and discharged wirelessly during the long-term parking, transient stops and movement. Accurate analytical and physics-based models for the BIWPTS are developed and utilized to forecast its performance, and novel practical limitations for the active and reactive power-flow during G2V and V2G operations are stated. A comparative and assessment analysis for the different compensation topologies in the symmetrical BIWPTS was performed based on analytical, simulation and experimental data. Also, a magnetic design optimization for the double-D power pad based on finite-element analysis is achieved. The nonlinearities in the BIWPTS due to the magnetic material and the high-frequency components are investigated rely on a physics-based co-simulation platform. Also, a novel two-layer predictive power-flow controller that manages the bidirectional power-flow between the EV and grid is developed, implemented and tested. In addition, the feasibility of deploying the quasi-dynamic wireless power transfer technology on the road to charge the EV during the transient stops at the traffic signals is proven.
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Книги з теми "Electric vehicle integration"

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Vahidinasab, Vahid, and Behnam Mohammadi-Ivatloo, eds. Electric Vehicle Integration via Smart Charging. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-05909-4.

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Bayram, İslam Şafak. Plug-in electric vehicle grid integration. Norwood, MA: Artech House, 2017.

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Garcia-Valle, Rodrigo, and João A. Peças Lopes, eds. Electric Vehicle Integration into Modern Power Networks. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-0134-6.

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Garcia-Valle, Rodrigo. Electric Vehicle Integration into Modern Power Networks. New York, NY: Springer New York, 2013.

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Alam, Mohammad Saad, and Mahesh Krishnamurthy. Electric Vehicle Integration in a Smart Microgrid Environment. Boca Raton: CRC Press, 2021. http://dx.doi.org/10.1201/9780367423926.

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National Renewable Energy Laboratory (U.S.), ed. Electric vehicle grid integration for sustainable military installations. Golden, Colo.]: National Renewable Energy Laboratory, 2011.

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7

Qiuwei Wu. Grid Integration of Electric Vehicles in Open Electricity Markets. Oxford, UK: John Wiley & Sons Ltd, 2013. http://dx.doi.org/10.1002/9781118568040.

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Ovalle, Andrés, Ahmad Hably, and Seddik Bacha. Grid Optimal Integration of Electric Vehicles: Examples with Matlab Implementation. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-73177-3.

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Li, Kang, Yusheng Xue, Shumei Cui, Qun Niu, Zhile Yang, and Patrick Luk, eds. Advanced Computational Methods in Energy, Power, Electric Vehicles, and Their Integration. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-6364-0.

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10

Armstrong, Lee R. Electronic system integration and systems engineering. Warrendale, PA: Society of Automotive Engineers, 2002.

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Частини книг з теми "Electric vehicle integration"

1

Patel, Arpit J., Chaitali Mehta, Ojaswini A. Sharma, Amit V. Sant, and V. S. K. V. Harish. "Electric vehicle technology." In Renewable Energy Integration with Building Energy Systems, 113–28. London: CRC Press, 2022. http://dx.doi.org/10.1201/9781003211587-6.

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Young, Kwo, Caisheng Wang, Le Yi Wang, and Kai Strunz. "Electric Vehicle Battery Technologies." In Electric Vehicle Integration into Modern Power Networks, 15–56. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-0134-6_2.

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Nikowitz, Michael, Steven Boyd, Andrea Vezzini, Irene Kunz, Michael Duoba, Kevin Gallagher, Peter Drage, et al. "System Optimization and Vehicle Integration." In Advanced Hybrid and Electric Vehicles, 87–204. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-26305-2_5.

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4

Abdi, Hamdi, Maryam Shahbazitabar, and Mansour Moradi. "Operational Challenges of Electric Vehicle Smart Charging." In Electric Vehicle Integration via Smart Charging, 223–36. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-05909-4_10.

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5

Almeida, P. M. Rocha, F. J. Soares, and João A. Peças Lopes. "Impacts of Large-Scale Deployment of Electric Vehicles in the Electric Power System." In Electric Vehicle Integration into Modern Power Networks, 203–49. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-0134-6_7.

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Aghajan-Eshkevari, Saleh, Mohammad Taghi Ameli, and Sasan Azad. "Electric Vehicle Services to Support the Power Grid." In Electric Vehicle Integration via Smart Charging, 129–48. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-05909-4_6.

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7

Bordons, Carlos, Félix Garcia-Torres, and Miguel A. Ridao. "Demand-Side Management and Electric Vehicle Integration." In Model Predictive Control of Microgrids, 147–68. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-24570-2_6.

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8

Shekari, Mohammadreza, Hamidreza Arasteh, and Vahid Vahidinasab. "Recognition of Electric Vehicles Charging Patterns with Machine Learning Techniques." In Electric Vehicle Integration via Smart Charging, 49–83. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-05909-4_3.

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9

Gandoman, Foad H., Vahid Nasiriyan, Behnam Mohammadi-Ivatloo, and Davood Ahmadian. "The Concept of Li-Ion Battery Control Strategies to Improve Reliability in Electric Vehicle (EV) Applications." In Electric Vehicle Integration via Smart Charging, 35–48. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-05909-4_2.

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Rabiee, Abbas, Andrew Keane, and Alireza Soroudi. "Smart Charging of EVs to Harvest Flexibility for PVs." In Electric Vehicle Integration via Smart Charging, 149–68. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-05909-4_7.

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Тези доповідей конференцій з теми "Electric vehicle integration"

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Karthick, S., M. Ramesh Babu, R. Leena Rose, and Deepak Arumugam. "Battery Management In Grid Into Vehicle Integration For Smart Electric Vehicles." In 2024 International Conference on Power, Energy, Control and Transmission Systems (ICPECTS), 1–5. IEEE, 2024. https://doi.org/10.1109/icpects62210.2024.10780214.

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2

Singh, Aditi Ranjan, Anuj Chauhan, Karunesh Srivastava, and Akash Gupta. "Solar Wireless Electric Vehicle Charger with Cooling Fan Integration." In 2024 International Conference on Electrical Electronics and Computing Technologies (ICEECT), 1–5. IEEE, 2024. http://dx.doi.org/10.1109/iceect61758.2024.10739090.

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3

Solis, Dario, and Chris Schwarz. "Multirate Integration in Hybrid Electric Vehicle Virtual Proving Grounds." In ASME 1998 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1998. http://dx.doi.org/10.1115/detc98/dac-5634.

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Abstract In recent years technology development for the design of electric and hybrid-electric vehicle systems has reached a peak, due to ever increasing restrictions on fuel economy and reduced vehicle emissions. An international race among car manufacturers to bring production hybrid-electric vehicles to market has generated a great deal of interest in the scientific community. The design of these systems requires development of new simulation and optimization tools. In this paper, a description of a real-time numerical environment for Virtual Proving Grounds studies for hybrid-electric vehicles is presented. Within this environment, vehicle models are developed using a recursive multibody dynamics formulation that results in a set of Differential-Algebraic Equations (DAE), and vehicle subsystem models are created using Ordinary Differential Equations (ODE). Based on engineering knowledge of vehicle systems, two time scales are identified. The first time scale, referred to as slow time scale, contains generalized coordinates describing the mechanical vehicle system that includs the chassis, steering rack, and suspension assemblies. The second time scale, referred to as fast time scale, contains the hybrid-electric powertrain components and vehicle tires. Multirate techniques to integrate the combined set of DAE and ODE in two time scales are used to obtain computational gains that will allow solution of the system’s governing equations for state derivatives, and efficient numerical integration in real time.
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Dias, Fábio Gaiotto, Carlos José Minutti, and Fabricio Oliveira Menezes. "Vehicle System Integration (Electric Parking Brake)." In 15th SAE Brasil International Brake and Motion Control Colloquium & Engineering Exhibition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2022. http://dx.doi.org/10.4271/2021-36-0414.

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Diaz-Londono, Cesar, Giambattista Gruosso, Paolo Maffezzoni, and Luca Daniel. "Coordination Strategies for Electric Vehicle Chargers Integration in Electrical Grids." In 2022 IEEE Vehicle Power and Propulsion Conference (VPPC). IEEE, 2022. http://dx.doi.org/10.1109/vppc55846.2022.10003274.

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6

Quigley, C. "Electronic system integration for hybrid and electric vehicles." In IET Hybrid Vehicle Conference 2006. IEE, 2006. http://dx.doi.org/10.1049/cp:20060604.

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7

Ledinger, Stephan, David Reihs, Daniel Stahleder, and Felix Lehfuss. "Test Device for Electric Vehicle Grid Integration." In 2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe). IEEE, 2018. http://dx.doi.org/10.1109/eeeic.2018.8493902.

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Aziz, Muhammad, Muhammad Huda, Bentang Arief Budiman, Erwin Sutanto, and Poetro Lebdo Sambegoro. "Implementation of Electric Vehicle and Grid Integration." In 2018 5th International Conference on Electric Vehicular Technology (ICEVT). IEEE, 2018. http://dx.doi.org/10.1109/icevt.2018.8628317.

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Bach Andersen, Peter, Rodrigo Garcia-Valle, and Willett Kempton. "A comparison of electric vehicle integration projects." In 2012 3rd IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe). IEEE, 2012. http://dx.doi.org/10.1109/isgteurope.2012.6465780.

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Andersen, Peter Bach, Mattia Marinelli, Ole Jan Olesen, Claus Amtrup Andersen, Gregory Poilasne, Bjoern Christensen, and Ole Alm. "The Nikola project intelligent electric vehicle integration." In 2014 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe). IEEE, 2014. http://dx.doi.org/10.1109/isgteurope.2014.7028765.

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Звіти організацій з теми "Electric vehicle integration"

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Rolufs, Angela, Amelia Trout, Kevin Palmer, Clark Boriack, Bryan Brilhart, and Annette Stumpf. Integration of autonomous electric transport vehicles into a tactical microgrid : final report. Engineer Research and Development Center (U.S.), September 2021. http://dx.doi.org/10.21079/11681/42007.

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The objective of the Autonomous Transport Innovation (ATI) technical research program is to investigate current gaps and challenges and develop solutions to integrate emerging electric transport vehicles, vehicle autonomy, vehicle-to-grid (V2G) charging and microgrid technologies with military legacy equipment. The ATI research area objectives are to: identify unique military requirements for autonomous transportation technologies; identify currently available technologies that can be adopted for military applications and validate the suitability of these technologies to close need gaps; identify research and operational tests for autonomous transport vehicles; investigate requirements for testing and demonstrating of bidirectional-vehicle charging within a tactical environment; develop requirements for a sensored, living laboratory that will be used to assess the performance of autonomous innovations; and integrate open standards to promote interoperability and broad-platform compatibility. This final report summarizes the team’s research, which resulted in an approach to develop a sensored, living laboratory with operational testing capability to assess the safety, utility, interoperability, and resiliency of autonomous electric transport and V2G technologies in a tactical microgrid. The living laboratory will support research and assessment of emerging technologies and determine the prospect for implementation in defense transport operations and contingency base energy resilience.
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Rolufs, Angela, Amelia Trout, Kevin Palmer, Clark Boriack, Bryan Brilhart, and Annette Stumpf. Autonomous Transport Innovation (ATI) : integration of autonomous electric vehicles into a tactical microgrid. Engineer Research and Development Center (U.S.), September 2021. http://dx.doi.org/10.21079/11681/42160.

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The objective of the Autonomous Transport Innovation (ATI) technical research program is to investigate current gaps and challenges then develop solutions to integrate emerging electric transport vehicles, vehicle autonomy, vehicle-to-grid (V2G) charging and microgrid technologies with military legacy equipment. The ATI research area objectives are to: identify unique military requirements for autonomous transportation technologies; identify currently available technologies that can be adopted for military applications and validate the suitability of these technologies to close need gaps; identify research and operational tests for autonomous transport vehicles; investigate requirements for testing and demonstrating of bidirectional vehicle charging within a tactical environment; develop requirements for a sensored, living laboratory that will be used to assess the performance of autonomous innovations; and integrate open standards to promote interoperability and broad-platform compatibility. The research performed resulted in an approach to develop a sensored, living laboratory with operational testing capability to assess the safety, utility, interoperability, and resiliency of autonomous electric transport and V2G technologies in a tactical microgrid. The living laboratory will support research and assessment of emerging technologies and determine the prospect for implementation in defense transport operations and contingency base energy resilience.
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3

Abdul Hamid, Umar Zakir. Privacy for Software-defined Battery Electric Vehicles. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, June 2024. http://dx.doi.org/10.4271/epr2024012.

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<div class="section abstract"><div class="htmlview paragraph">The integration of software-defined approaches with software-defined battery electric vehicles brings forth challenges related to privacy regulations, such as European Union’s General Data Protection Regulation and Data Act, as well as the California Consumer Privacy Act. Compliance with these regulations poses barriers for foreign brands and startups seeking entry into these markets. Car manufacturers and suppliers, particularly software suppliers, must navigate complex privacy requirements when introducing vehicles to these regions.</div><div class="htmlview paragraph"><b>Privacy for Software-defined Battery Electric Vehicles</b> aims to educate practitioners across different market regions and fields. It seeks to stimulate discussions for improvements in processes and requirements related to privacy aspects regarding these vehicles. The report covers the significance of privacy, potential vulnerabilities and risks, technical challenges, safety risks, management and operational challenges, and the benefits of compliance with privacy standards within the software-defined battery electric vehicle realm.</div><div class="htmlview paragraph"><a href="https://www.sae.org/publications/edge-research-reports" target="_blank">Click here to access the full SAE EDGE</a><sup>TM</sup><a href="https://www.sae.org/publications/edge-research-reports" target="_blank"> Research Report portfolio.</a></div></div>
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4

Kisacikoglu, Mithat, Jason Harper, Rajendra Kandula, Alastair Thurlbeck, Akram Ali, Emin Ucer, Edward Watt, Md Shafquat Khan, and Rasel Mahmud. High-Power Electric Vehicle Charging Hub Integration Platform (eCHIP): Design Guidelines and Specifications for DC Distribution-Based Charging Hub. Office of Scientific and Technical Information (OSTI), April 2024. http://dx.doi.org/10.2172/2335495.

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Zhang, Yangjun. Unsettled Topics Concerning Flying Cars for Urban Air Mobility. SAE International, May 2021. http://dx.doi.org/10.4271/epr2021011.

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Flying cars—as a new type of vehicle for urban air mobility (UAM)—have become an important development trend for the transborder integration of automotive and aeronautical technologies and industries. This article introduces the 100-year history of flying cars, examines the current research status for UAM air buses and air taxis, and discusses the future development trend of intelligent transportation and air-to-land amphibious vehicles. Unsettled Topics Concerning Flying Cars for Urban Air Mobility identifies the major bottlenecks and impediments confronting the development of flying cars, such as high power density electric propulsion, high lift-to-drag ratio and lightweight body structures, and low-altitude intelligent flight. Furthermore, it proposes three phased goals and visions for the development of flying cars in China, suggesting the development of a flying vehicle technology innovation system that integrates automotive and aeronautic industries.
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Monahan, Joseph F. Life-Cycle Cost Modeling to Determine whether Vehicle-to-Grid (V2G) Integration and Ancillary Service Revenue can Generate a Viable Case for Plug-in Electric Drive Vehicles. Fort Belvoir, VA: Defense Technical Information Center, June 2013. http://dx.doi.org/10.21236/ada586076.

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7

Moncada, Oscar, Zainab Imran, Connor Vickers, Konstantina Gkritza, Steven Pekarek, Dionysios Aliprantis, Aaron Brovont, Behnam Jahangiri, and John E. Haddock. Full-Scale Dynamic Wireless Power Transfer and Pilot Project Implementation. Purdue University, 2024. http://dx.doi.org/10.5703/1288284317744.

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Considering the challenges hindering the widespread adoption of electric vehicles (EVs) and heavy-duty electric vehicles(HDEVs), the integration of dynamic wireless power transfer (DWPT) technology into roadways has gained interest. By embedding DWPT components into pavement, electrical power can be delivered to an EV or HDEV as they are in motion. Yet, large-scale implementation depends on further in-depth research, both to explore optimal construction methods and to understand the impact of embedment on the pavement’s resultant behavior. The objective of this project was trifold: (1) design and evaluate a transmitter-receiver topology for DWPT, (2) enhance the understanding of the interaction between the pavement and the embedded DWPT system, and (3) support the design and installation of a 230 kW DWPT system pilot for HDEVs on an existing INDOT roadway. A three-phase transmitter-receiver topology for DWPT was developed and validated, enabling the transmission of power across a wide range of vehicle classes while reducing the power oscillation that has been encountered in existing single-phase designs. To empirically evaluate the impact of DWPT on pavement, two pavement sections—one flexible and one rigid, were designed and constructed at an Accelerated Pavement Test (APT) facility. Following validation of the DWPT design through structural, thermal, and electromagnetic testing, Purdue University developed plans to establish a Dynamic Wireless Power Transfer Testbed (DWPTT) along ¼-mile of US-231 near West Lafayette. This testbed will serve as a critical platform for the transition of DWPT technology from APT sections to a practical roadway environment.
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Coyner, Kelley, and Jason Bittner. Infrastructure Enablers and Automated Vehicles: Trucking. SAE International, July 2022. http://dx.doi.org/10.4271/epr2022017.

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While automated trucking developers have established regular commercial shipments, operations and testing remain limited largely to limited-access highways like interstates. This infrastructure provides a platform or operating environment that is highly structured, with generally good road conditions and visible lane markings. To date, these deployments have not included routine movements from hub to hub, whether on or off these limited-access facilities. Benefits such as safety, fuel efficiency, staffing for long-haul trips, and a strengthened supply chain turn enable broader deployment which can enable movement from one transportation system to another. Infrastructure Enablers and Automated Vehicles: Trucking focuses on unresolved issues between the automated vehicle industry and infrastructure owners and operators that stand in the way of using infrastructure—both physical and digital—to extend use cases for automated trucking to more operational design domains (ODDs). The report also examines opportunities and recommendations related the integration of automated trucking across transportation networks and the supply chain. The topics include road conditions and lane marking visibility, work zone navigation, transfer hubs, and facility design, as well as connected and electric charging infrastructure.
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9

Abdul Hamid, Umar Zakir. Product Governance and Management for Software-defined Battery Electric Vehicles. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, October 2024. http://dx.doi.org/10.4271/epr2024025.

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<div class="section abstract"><div class="htmlview paragraph">In recent years, battery electric vehicles (BEVs) have experienced significant sales growth, marked by advancements in features and market delivery. This evolution intersects with innovative software-defined vehicles, which have transformed automotive supply chains, introducing new BEV brands from both emerging and mature markets. The critical role of software in software-defined battery electric vehicles (SD-BEVs) is pivotal for enhancing user experience and ensuring adherence to rigorous safety, performance, and quality standards. Effective governance and management are crucial, as failures can mar corporate reputations and jeopardize safety-critical systems like advanced driver assistance systems.</div><div class="htmlview paragraph"><b>Product Governance and Management for Software-defined Battery Electric Vehicles</b> addresses the complexities of SD-BEV product governance and management to facilitate safer vehicle deployments. By exploring these challenges, it aims to enhance internal processes and foster cross-geographical collaborations, assisting automotive product managers in integrating comprehensive considerations into product strategies and requirements.</div><div class="htmlview paragraph"><a href="https://www.sae.org/publications/edge-research-reports" target="_blank">Click here to access the full SAE EDGE</a><sup>TM</sup><a href="https://www.sae.org/publications/edge-research-reports" target="_blank"> Research Report portfolio.</a></div></div>
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10

Tuffner, Francis K., Michael CW Kintner-Meyer, and Krishnan Gowri. Utilizing Electric Vehicles to Assist Integration of Large Penetrations of Distributed Photovoltaic Generation Capacity. Office of Scientific and Technical Information (OSTI), November 2012. http://dx.doi.org/10.2172/1060681.

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