This dataset shows the Battery Electric Vehicles (BEVs) and Plug-in Hybrid Electric Vehicles (PHEVs) that are currently registered through Washington State Department of Licensing (DOL).

Total number of electric and plug-in hybrid vehicle registrations by county as of each month end from July 2020 to May 2025.

The increasing diversity of vehicle type holdings and growing demand for BEVs and PHEVs have serious policy implications for travel demand and air pollution. Consequently, it is important to accurately predict or estimate the preference for vehicle holdings of households as well as the vehicle miles traveled by vehicle body and fuel type to project future VMT changes and mobile source emission levels. The current report presents the application of a utility-based model for multiple discreteness that combines multiple vehicle types with usage in an integrated model, specifically the MDCEV model. We use the 2019 California Vehicle Survey data here that allows us to analyze the driving behavior associated with more recent EV models (with potentially longer ranges). Important findings from the model include:

Household characteristics like size or having children have an expected impact on vehicle preference: larger vehicles are preferred. College education, rooftop solar ownership, and the number of employed workers in a household affect the preference for BEVs and PHEVs in the small car segment dominated by the Leaf, Bolt, Prius-Plug-in and the Volt often used as a commuter car. Among built environment factors, population density and the walkability index of a neighborhood have a statistically significant impact on the type of vehicle choice and VMT. It is observed that a 10% increase in population density reduces the preference for ICEV pickup trucks by 0.34% and VMT by 0.4%. However, if the increase in population density is 25%, the reduction in preference for pickup trucks is 8.4% and VMT is 8.6%. The other built environment factor we consider is the walkability index. If the walkability index of a neighborhood increases by 25%, it reduces the preference for ICEV pickup trucks by 15% and their VMT by 16%. Overall, these results suggest that if policies encourage mixed development of neighborhoods and increase density, it can have an important impact on ownership and usage of gas guzzlers like pickup trucks and help in the process of electrification of the transportation sector.

Methods The dataset used in this report was created using the following public data sources:

2019 California Vehicle Survey: "Transportation Secure Data Center." ([2019]). National Renewable Energy Laboratory. Accessed [04/26/2023]: www.nrel.gov/tsdc. The Smart Mapping Tool by EPA: https://www.epa.gov/smartgrowth/smart-location-mapping

American Community Survey: https://www.census.gov/programs-surveys/acs

Virginia Hybrid Vehicles (including Plug-in Hybrids) dataset provides a comprehensive view of hybrid and plug-in hybrid vehicle adoption and performance in Virginia.

Total number of electric and plug-in hybrid vehicle registrations by zip code as of each month end from July 2020 to May 2025.

This data set is provided in support of a forthcoming paper: "Impact of uncoordinated plug-in electric vehicle charging on residential power demand," [1]. These files include electricity demand profiles for 200 households randomly selected among the ones available in the 2009 RECS data set for the Midwest region of the United States. The profiles have been generated using the modeling proposed by Muratori et al. [2], [3], that produces realistic patterns of residential power consumption, validated using metered data, with a resolution of 10 minutes. Households vary in size and number of occupants and the profiles represent total electricity use, in watts. The files also include in-home plug-in electric vehicle recharging profiles for 348 vehicles associated with the 200 households assuming both Level 1 (1920 W) and Level 2 (6600 W) residential charging infrastructure. The vehicle recharging profiles have been generated using the modeling proposed by Muratori et al. [4], that produces real-world recharging demand profiles, with a resolution of 10 minutes. [1] M. Muratori, "Impact of uncoordinated plug-in electric vehicle charging on residential power demand." Forthcoming. [2] M. Muratori, M. C. Roberts, R. Sioshansi, V. Marano, and G. Rizzoni, "A highly resolved modeling technique to simulate residential power demand," Applied Energy, vol. 107, no. 0, pp. 465 - 473, 2013. https://doi.org/10.1016/j.apenergy.2013.02.057 [3] M. Muratori, V. Marano, R. Sioshansi, and G. Rizzoni, "Energy consumption of residential HVAC systems: a simple physically-based model," in 2012 IEEE Power and Energy Society General Meeting. San Diego, CA, USA: IEEE, 22-26 July 2012. https//doi.org/10.1109/PESGM.2012.6344950 [4] M. Muratori, M. J. Moran, E. Serra, and G. Rizzoni, "Highly-resolved modeling of personal transportation energy consumption in the United States," Energy, vol. 58, no. 0, pp. 168-177, 2013. https://doi.org/10.1016/j.energy.2013.02.055

We provide MATLAB binary files (.mat) and comma separated values files of data collected from a pilot study of a plug load management system that allows for the metering and control of individual electrical plug loads. The study included 15 power strips, each containing 4 channels (receptacles), which wirelessly transmitted power consumption data approximately once per second to 3 bridges. The bridges were connected to a building local area network which relayed data to a cloud-based service. Data were archived once per minute with the minimum, mean, and maximum power draw over each one minute interval recorded. The uncontrolled portion of the testing spanned approximately five weeks and established a baseline energy consumption. The controlled portion of the testing employed schedule-based rules for turning off selected loads during non-business hours; it also modified the energy saver policies for certain devices. Three folders are provided: “matFilesAllChOneDate” provides a MAT-file for each date, each file has all channels; “matFilesOneChAllDates” provides a MAT-file for each channel, each file has all dates; “csvFiles” provides comma separated values files for each date (note that because of data export size limitations, there are 10 csv files for each date). Each folder has the same data; there is no practical difference in content, only the way in which it is organized.

Please refer to the data article where the data is described (Data-in-brief, https://doi.org/10.1016/j.dib.2024.110883).

The data article refers to the paper "A method for generating complete EV charging datasets and analysis of residential charging behaviour in a large Norwegian case study". The Electric Vehicle (EV) charging dataset includes detailed information on plug-in times, plug-out times, and energy charged for over 35,000 residential charging sessions, covering 267 user IDs across 12 locations within a mature EV market in Norway. Utilising methodologies outlined in the paper, realistic predictions have been integrated into the datasets, encompassing EV battery capacities, charging power, and plug-in State-of-Charge (SoC) for each EV-user and charging session. In addition, hourly data is provided, such as energy charged and connected energy capacity for each charging session.

The comprehensive dataset provides the basis for assessing current and future EV charging behaviour, analysing and modelling EV charging loads and energy flexibility, and studying the integration of EVs into power grids.

Note: Find data at source. ・ The rapid growth of electric vehicle (EV) charging will present challenges to electrical distribution networks and will affect grid operation and reliability. In order to improve the understanding of EV charging behaviour, we present the open-access EV Charging Profiles and Waveforms (EV-CPW) dataset for AC charging. The dataset comprises of charging profiles and high-resolution current/voltage AC waveforms for 12 different EV's, including popular battery EV's and plug-in hybrid EV's. (2023-12-04)

The data are in Excel spreadsheets

New York State’s Charge NY initiative offers electric car buyers the Drive Clean Rebate of up to $2,000 for new car purchases or leases. The rebate amount depends on the battery-only range of each vehicle. Dealers enrolled in the program deduct the eligible amount from the vehicle price at the point of sale and then submit a rebate application with NYSERDA. This dataset includes all completed rebate applications as of the data through date.

The New York State Energy Research and Development Authority (NYSERDA) offers objective information and analysis, innovative programs, technical expertise, and support to help New Yorkers increase energy efficiency, save money, use renewable energy, and accelerate economic growth. reduce reliance on fossil fuels. To learn more about NYSERDA’s programs, visit nyserda.ny.gov or follow us on X, Facebook, YouTube, or Instagram.

The plug-in hybrid electric vehicle (PHEV) market is experiencing robust growth, projected to reach a market size of $17.24 billion in 2025, expanding at a Compound Annual Growth Rate (CAGR) of 11.2% from 2025 to 2033. This significant expansion is driven by several factors. Increasing concerns about environmental sustainability and stricter emission regulations globally are pushing consumers and governments towards cleaner transportation options. Furthermore, advancements in battery technology are leading to increased electric range and reduced charging times, making PHEVs a more practical choice for daily commutes and longer journeys. Government incentives, such as tax credits and subsidies, are also playing a crucial role in accelerating PHEV adoption. Key players like Nissan, BMW, Honda, Toyota, Volkswagen, Tesla, Renault, Ford, Daimler, and General Motors are heavily investing in research and development, leading to innovative designs and improved performance, further fueling market growth. Competition is fierce, with manufacturers focusing on enhancing fuel efficiency, offering diverse models to cater to various consumer needs, and expanding charging infrastructure to overcome range anxiety. The market's continued expansion relies on overcoming several challenges. The relatively higher initial cost of PHEVs compared to conventional vehicles remains a barrier for many potential buyers. Furthermore, the availability of charging stations, particularly in rural areas, needs significant improvement to support widespread adoption. Concerns about battery lifespan and the environmental impact of battery production and disposal also need to be addressed. Despite these challenges, the long-term outlook for the PHEV market remains positive, driven by sustained technological advancements, supportive government policies, and growing consumer awareness of environmental issues. The market is expected to witness substantial growth in various regions, with North America and Europe anticipated to be key contributors to this expansion.

Analysis of ‘Plug-In EVerywhere Charging Station Network’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/1aebc0c9-d7ed-436a-aa77-436cbe8f9b34 on 26 January 2022.

--- Dataset description provided by original source is as follows ---

Austin Energy operates a network of electric vehicle charging stations powered by renewable energy through our GreenChoice® program. EV Drivers should use the Access Category column to determine if the station will be accessible to any EV driver. Most stations on the Plug-In EVerywhere Network are accessible to all EV drivers, but multifamily, education, fleet and workplace charging stations may have restricted access. View more information @ http://austinenergy.com/go/greenchoice and http://austinenergy.com/wps/portal/ae/green-power/plug-in-austin/plug-in-austin .

--- Original source retains full ownership of the source dataset ---

This statistic gives a breakdown of worldwide plug-in electric vehicle (PEV) year-over-year sales growth in 2021, by manufacturer. Tesla's electric vehicle sales grew by over ** percent between 2020 and 2021. Subsidizing electric vehicles Many emerging clean technologies receive government subsidies in order to establish the foundations of economic sectors. Milestones in electric vehicle technologies could only be met through well-funded research. The Chinese government has been particularly interested in developing electric vehicles. In China, electric vehicles are seen as the modern and superior technology compared to combustion energies. State-owned manufacturers are behind some of the most popular plug-in battery models. Companies have also been able to receive subsidies from the Chinese government amounting to tens of billions of U.S. dollars since 2009. The subsidies have allowed companies to sell new vehicles cheaper. The Chinese government has however announced ** percent cuts to new energy vehicle subsidies in 2022, which could likely sap consumers' intention to buy an electric vehicle.China is the largest electric vehicle market, recording an increase in plug-in electric vehicle registrations of *** percent in 2021. Battery electric vehicles comprised the majority of new PEVs sold on the Chinese market, reaching over *** million in 2021. It therefore comes as no surprise that BYD, headquartered in Shenzhen, recorded the steepest growth in 2021.

This API will return data relating to Electric Vehicle Charging Points in the United kingdom. Data includes: Names, Addresses, Lat/Longs, Device Controller/Owner Info, Connector Type, Rated Output etc and can be returned in an xml, json or csv format. A few examples have been provided to demonstrate the operation of the API but detailed instructions can be examined here. The Government provide a grant that can be used to offset the cost of each new electric (plug-in) car or van providing certain conditions are met. Buyers can get 25% off the cost of a car up to a maximum of PS5000 and 20% off the cost of a van up to a maximum of PS8000. Plug-in car and van grants. Licence: None

The Plug-in Hybrid Vehicle (PHEV) market is experiencing robust growth, driven by increasing environmental concerns, stringent government regulations promoting fuel efficiency and emission reduction, and technological advancements leading to improved battery performance and reduced costs. The market, while smaller than its fully electric counterpart, is poised for significant expansion over the next decade. Major automotive manufacturers, including Tesla, General Motors, Toyota, and others, are heavily invested in PHEV technology, continuously improving models and expanding their offerings to cater to diverse consumer preferences and price points. The segment is further fueled by the availability of government incentives and subsidies aimed at encouraging PHEV adoption, thereby increasing their affordability and accessibility to a wider consumer base. Geographic variations exist, with regions like North America and Europe showing strong adoption rates, although emerging markets are expected to witness accelerated growth in the coming years, as infrastructure improvements and economic development facilitate increased consumer purchasing power. Despite the positive outlook, the PHEV market faces challenges. High initial purchase prices compared to conventional vehicles remain a barrier for many consumers. Furthermore, concerns regarding limited driving range on electric power and charging infrastructure limitations continue to hamper widespread adoption, especially in regions with less developed charging networks. Competition from fully electric vehicles (EVs), which are rapidly improving in terms of range and affordability, also presents a significant challenge. The success of PHEVs will depend on ongoing technological improvements focusing on extended all-electric range, improved battery life and fast charging capabilities, and a continued expansion of charging infrastructure to address range anxiety and convenience issues. Industry efforts towards standardization and interoperability of charging technologies will also be crucial for further market penetration.

The US electric vehicle (EV) market is experiencing explosive growth, driven by increasing environmental concerns, government incentives like tax credits and rebates, improving battery technology leading to longer ranges and faster charging times, and a wider selection of EV models across various price points. The market's Compound Annual Growth Rate (CAGR) exceeding 15% signifies a robust expansion projected through 2033. Key segments contributing to this surge include passenger cars, which currently dominate market share, and commercial vehicles, showing promising growth potential fueled by fleet electrification initiatives and reducing operational costs. Major players like Tesla, General Motors, Ford, and others are aggressively investing in research and development, expanding their charging infrastructure, and introducing innovative models to capture market share in this competitive landscape. The increasing affordability of EVs and the growing consumer awareness of their environmental benefits further accelerate market expansion. The robust growth, however, faces certain challenges. Range anxiety, charging infrastructure limitations in certain regions, and the relatively higher initial purchase price compared to gasoline-powered vehicles remain key restraints. Addressing these issues through public-private partnerships to improve charging infrastructure deployment, continued technological advancements to enhance battery technology and reduce costs, and government initiatives promoting EV adoption are crucial for sustaining the market's momentum. The strategic focus will be on increasing affordability and addressing consumer concerns around charging convenience to further propel the US EV market towards a sustainable and widespread adoption. We project a significant increase in market penetration across all segments, with passenger cars maintaining a dominant position while commercial vehicle adoption steadily gains ground. The continuing influx of new models and technological innovations across different price points will be a key driver of further market growth in the coming years. This in-depth report provides a comprehensive analysis of the burgeoning USA electric vehicle (EV) market, offering invaluable insights for stakeholders across the automotive value chain. Covering the historical period (2019-2024), base year (2025), and projecting growth until 2033, this report meticulously examines market dynamics, trends, and future prospects. We analyze key players like Tesla, Ford, General Motors, and others, segmented by drive type (Battery Electric, Plug-in Hybrid), vehicle type (Passenger Cars, Commercial Vehicles), and regional penetration. This report is crucial for understanding the explosive growth of the electric car market and making informed business decisions. Key drivers for this market are: Government Initiatives to Promote Sales of Electric Vehicle. Potential restraints include: High Initial Investment for Installing Electric Vehicle Charging Infrastructure. Notable trends are: Increasing Demand for Plug-in Hybrid Vehicles.

NASA Ames Research Center’s Sustainability Base is a new 50,000 sq. ft. high-performance office building targeting a LEED Platinum rating. Plug loads are expected to account for a significant portion of overall energy consumption because building design choices resulted in greatly reduced energy demand from Heating, Ventilation, and Air Conditioning (HVAC) and lighting systems, which are typically major contributors to energy consumption in traditional buildings. This paper reports on a pilot study where data from a variety of plug loads were collected in a reference office building to understand usage patterns, to make a preliminary assessment as to the effectiveness of controlling (i.e., turning off and on) selected loads, and to evaluate the utility of the plug load management system chosen for the study. Findings indicate that choosing energy efficient equipment, ensuring that power saving functionality is operating effectively, promoting beneficial occupant energy behavior, and employing plug load controls to turn off equipment when not in use can lead to significant energy savings. These recommendations will be applied to Sustainability Base and further studies of plug load management systems and techniques to reduce plug energy consumption will be pursued.