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Charging Behavior Driving Patterns And Evmt For Phev 20s Over Time


Charging Behavior Driving Patterns And Evmt For Phev 20s Over Time
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Charging Behavior Driving Patterns And Evmt For Phev 20s Over Time


Charging Behavior Driving Patterns And Evmt For Phev 20s Over Time
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Author : Laura Christine Cackette
language : en
Publisher:
Release Date : 2017

Charging Behavior Driving Patterns And Evmt For Phev 20s Over Time written by Laura Christine Cackette and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with categories.


Analysis of real world data from plug-in hybrid electric vehicles (PHEVs) in California was conducted with the objective of characterizing how owners charge and drive PHEVs with 20 miles of battery capacity (PHEV 20s). A large volume of in-use data, collected by a major vehicle manufacturer over a period of almost three years, was examined. Results and discussion focus on several key points of interest: how often PHEV 20 owners plug in and how that changes over time; how other variables such as fuel price may affect plug-in frequency; and how many electric miles are driven as a result of charging and travel behavior. On average, owners plug their vehicles in more than once per active day; although, some owners stop doing so and cause rates of not charging to increase over time. They also drive around 52 miles per active day, with 17 of those powered by electricity. Therefore, PHEV 20s in California achieve more than 30% eVMT (electric vehicle miles traveled) on average.



Overcoming Barriers To Deployment Of Plug In Electric Vehicles


Overcoming Barriers To Deployment Of Plug In Electric Vehicles
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Author : National Research Council (U.S.). Committee on Overcoming Barriers to Electric-Vehicle Deployment
language : en
Publisher:
Release Date : 2015

Overcoming Barriers To Deployment Of Plug In Electric Vehicles written by National Research Council (U.S.). Committee on Overcoming Barriers to Electric-Vehicle Deployment and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with Science categories.


In the past few years, interest in plug-in electric vehicles (PEVs) has grown. Advances in battery and other technologies, new federal standards for carbon-dioxide emissions and fuel economy, state zero-emission-vehicle requirements, and the current administration's goal of putting millions of alternative-fuel vehicles on the road have all highlighted PEVs as a transportation alternative. Consumers are also beginning to recognize the advantages of PEVs over conventional vehicles, such as lower operating costs, smoother operation, and better acceleration; the ability to fuel up at home; and zero tailpipe emissions when the vehicle operates solely on its battery. There are, however, barriers to PEV deployment, including the vehicle cost, the short all-electric driving range, the long battery charging time, uncertainties about battery life, the few choices of vehicle models, and the need for a charging infrastructure to support PEVs. What should industry do to improve the performance of PEVs and make them more attractive to consumers? At the request of Congress, Overcoming Barriers to Deployment of Plug-in Electric Vehicles identifies barriers to the introduction of electric vehicles and recommends ways to mitigate these barriers. This report examines the characteristics and capabilities of electric vehicle technologies, such as cost, performance, range, safety, and durability, and assesses how these factors might create barriers to widespread deployment. Overcoming Barriers to Deployment of Plug-in Electric Vehicles provides an overview of the current status of PEVs and makes recommendations to spur the industry and increase the attractiveness of this promising technology for consumers. Through consideration of consumer behaviors, tax incentives, business models, incentive programs, and infrastructure needs, this book studies the state of the industry and makes recommendations to further its development and acceptance.



Impact Of Observed Travel And Charging Behavior Simulated Workplace Charging Infrastructure And Vehicle Design On Phev Utility Factors Uf Total Charge Depleting Cd Driving And Time Of Day Tod Grid Demand


Impact Of Observed Travel And Charging Behavior Simulated Workplace Charging Infrastructure And Vehicle Design On Phev Utility Factors Uf Total Charge Depleting Cd Driving And Time Of Day Tod Grid Demand
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Author : Jamie Davies-Shawhyde
language : en
Publisher:
Release Date : 2011

Impact Of Observed Travel And Charging Behavior Simulated Workplace Charging Infrastructure And Vehicle Design On Phev Utility Factors Uf Total Charge Depleting Cd Driving And Time Of Day Tod Grid Demand written by Jamie Davies-Shawhyde and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with categories.


Plug-in hybrid electric vehicles (PHEVs) can run on gasoline or grid electricity and have been widely touted as promising more future societal and environmental benefits than hybrid electric vehicles (HEVs). However, since the charging of PHEVs will place new loads on the electrical grid, how much and the time of day (TOD) at which users plug in their vehicles will have implications for electricity providers who must meet the additional electrical load required to charge a fleet of PHEVs. PHEV charging could place new burdens on existing electrical infrastructure (substations and transformers) and generating capacity. Information about consumers' charging behavior can help utilities and interested parties better plan for PHEVS in the marketplace. To date, analysts have made assumptions as to the design of PHEVs that will be purchased, and the travel and charging behavior of the future users. Furthermore, since PHEVs can run in charge depleting (CD) and charge sustaining (CS) modes there is uncertainty as to how much travel will be completed in each mode due to the variety of possible vehicle designs, access to charging infrastructure, and travel and charging behavior of PHEV users. Accounting for the amount of travel in each mode is crucial in order to accurately assess the fuel economy (FE) benefits, green house gas (GHG) emissions and costs of PHEVs. In 2001, the Society of Automotive Engineers (SAE) promulgated standard J2841 defining the utility factor (UF) as the percentage of travel that can be completed in CD mode for a PHEV fleet with a given CD range. As such, the SAE standard J2841 has a substantial influence on policies regarding PHEVs and their assumed benefits and costs, and has been used by analysts, industry, and policy makers to calculate PHEV corporate average fuel economy (CAFE), GHG emissions, operating costs and Zero Emission Vehicle (ZEV) credits. My analysis challenges J2841 by calculating the observed UF for a fleet of PHEVs driven by 25 Plausible Early Market (PEM) PHEV buyers in a demonstration and market research project. To estimate the potential effects on the UF of additional recharging infrastructure, I model a workplace charging scenario in which each of the 25 households recharges the PHEV at their workplace as well as at home. Lastly, hypothetical consumer designed PHEVs, solicited from each PEM household, are used to create and compare future market scenarios in which consumers are offered a wide variety of makes and body styles of PHEVs--thus simulating a plausible future market in which a variety of PHEVs are offered for sale. The results suggest that promoting "short range" PHEVs and focusing on popular vehicle-types, rather than upon achieving high CD ranges, could lead to greater total benefits from PHEVs in the early market, through more widespread adoption of PHEVs. Compared to SAE J2841, the observed UFs from the PEM demonstration data are 10 percentage points higher for PHEVs of up to 40 miles of CD range. At 40 miles CD range, J2841 stipulates a UF of 62%; I calculate a UF of 72% from the observed data. The increase in CD driving from adding simulated workplace charging varies by vehicle range, with the largest percentage point increases in CD driving occurring below 20 miles. Workplace charging changes the TOD distribution of power needed to charge a fleet of vehicles, producing a new maximum at 9:30am. The addition of workplace charging under the conditions modeled here does not change the evening peak power demand.



Behavioral Realism Of Plug In Electric Vehicle Usage


Behavioral Realism Of Plug In Electric Vehicle Usage
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Author : Seshadri Srinivasa Raghavan
language : en
Publisher:
Release Date : 2020

Behavioral Realism Of Plug In Electric Vehicle Usage written by Seshadri Srinivasa Raghavan and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with categories.


Accelerating the adoption of plug-in electric vehicles (PEVs), is critical to reduce GHG emissions in the light duty vehicle sector. Conventional PEV usage and GHG assessments are largely based on assumptions drawn from stated preferences and choice experiments of potential or current PEV owners, or self-reported travel and refueling diaries of mainstream internal combustion engine(ICE) users. This dissertation focuses on observed behavior of current PEV users. I present three studies that seek to improve our understanding of PEV driving and charging typified by two levels of disaggregation- vehicle level and household level. First study develops an analytical procedure to quantify what aspects of driving and charging behavior contributes to the gap between observed PHEV Utility Factors and Society of Automotive Engineers (SAE) J2841 expectations. Results indicated that depending on the PHEV range, roughly ±45% of deviations is attributable charging behavior. Daily mileage was responsible for -20% to +3% of deviation. Annual mileage and effective charge depleting range achieved on-road influenced the UF deviation by ±25% and -20% to -4% respectively. In the second study, driving and charging behavior differences between short-range (20 miles or less) and long-range (35 miles or more) PHEVs are investigated. It was found that diversity of charging locations is positively associated with electric miles from short-range PHEVs whereas encouraging more home charging increases the electrification benefits of longer-range PHEVs. Third study quantifies the well-to-wheel GHG mitigation potential of Nissan Leaf, Chevrolet Bolt and Tesla Model S at the household level using a multi-year actual usage data from 73 two-car (single BEV and single ICE) California households. Analysis shows that on average 25% of Leaf and Bolt, and 30% of Tesla household's GHG can be reduced from their current levels by driving the BEV instead of the ICE. Upgrading to a longer-range efficiency oriented BEV and fully charging overnight can mitigate an additional 10-15% household GHG. Upgrading to longer-range sportier performance oriented BEV nearly offset the GHG abatement benefits, but it electrifies the highest share of household miles.



Consumer Response To Plug In Hybrid Electric Vehicles


Consumer Response To Plug In Hybrid Electric Vehicles
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Author : Kenneth S. Kurani
language : en
Publisher:
Release Date : 2012

Consumer Response To Plug In Hybrid Electric Vehicles written by Kenneth S. Kurani and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with California categories.




Analyzing The Impact Of Plug In Electric Vehicle S Charging Load On The Grid Based On Driver S Personal Attitudes Towards Pev Usage And Charging


Analyzing The Impact Of Plug In Electric Vehicle S Charging Load On The Grid Based On Driver S Personal Attitudes Towards Pev Usage And Charging
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Author : Mehran Mustafa
language : en
Publisher:
Release Date : 2021

Analyzing The Impact Of Plug In Electric Vehicle S Charging Load On The Grid Based On Driver S Personal Attitudes Towards Pev Usage And Charging written by Mehran Mustafa and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with Attitude (Psychology) categories.


Today, the transport sector is responsible for nearly one-quarter of global energy-related direct carbon-dioxide (CO2) emissions and is a significant contributor to air pollution. In the United States, the transportation sector has the highest share (28%) in the mix of green-house gas (GHG) sources. Some of the more developed nations across the globe are now committed to improve the climate and air quality. Countries like China, Europe and the United States are front runners in introducing ambitions policies to incentivize the production and adoption of plug-in electric vehicles (PEV's). Along with the expected benefits of PEV uptake, large scale deployment poses a challenge for the electric grid, especially at the distribution level, since the charging load of an PEV is substantial. This load is dependent not only on the characteristics of the PEV, but also on its use and charging habits of its user(s). Since a PEV can be directly plugged into the grid at any available point, which may be spatially anywhere in the utility's service area, it is important to model its accurate use and charging behavior of the users. Having precise knowledge of the load profile, the utilities can have a better economic solution to balancing the supply and demand. In this dissertation, an agent-based model is developed that estimates the impact of charging load of PEVs on the grid. It is based on reasonably realistic diverse human behavior pertaining to day-to-day driving patterns and charging practices and their effect on each other. The model portrays the heterogenous, spatial and temporal nature of this load, which depends on the habits and the interaction among different agents. The model mimics the heterogeneity of choices made by human drivers and its effect on the charging choices of other drivers, which is an important element to consider when depicting human behavior. The model uses travel statistics of conventional personally owned vehicles (POVs) from the National Household Travel Survey (NHTS) conducted by the Federal Highway Administration (FHWA) across different states of the United States from 2016-2017. The travel needs are modified to incorporate the effect of EV's limited range and charging time requirements. A modified GIS map of Collinsville, IL, is used to implement the spatial requirements of travel, with, which highlight exact load points. The agent's travel and charging choices are modelled with heterogenous rules of engagement with the environment and other agents. Common psychological effects of limited range, long charging times, and range anticipation are applied heterogeneously to all agents to create a macro environment. The resulting charging load is superimposed on existing substation transformer load and voltage profile is analyzed to study the impact of different charging strategies and charging infrastructure availability. Different case studies are analyzed to investigate the effect of the aggregated load of multiple charging points in the respective service areas of the distribution transformers.



Battery Electric Vehicle Driving And Charging Behavior Observed Early In The Ev Project


Battery Electric Vehicle Driving And Charging Behavior Observed Early In The Ev Project
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Author :
language : en
Publisher:
Release Date : 2012

Battery Electric Vehicle Driving And Charging Behavior Observed Early In The Ev Project written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with categories.


As concern about society's dependence on petroleum-based transportation fuels increases, many see plug-in electric vehicles (PEV) as enablers to diversifying transportation energy sources. These vehicles, which include plug-in hybrid electric vehicles (PHEV), range-extended electric vehicles (EREV), and battery electric vehicles (BEV), draw some or all of their power from electricity stored in batteries, which are charged by the electric grid. In order for PEVs to be accepted by the mass market, electric charging infrastructure must also be deployed. Charging infrastructure must be safe, convenient, and financially sustainable. Additionally, electric utilities must be able to manage PEV charging demand on the electric grid. In the Fall of 2009, a large scale PEV infrastructure demonstration was launched to deploy an unprecedented number of PEVs and charging infrastructure. This demonstration, called The EV Project, is led by Electric Transportation Engineering Corporation (eTec) and funded by the U.S. Department of Energy. eTec is partnering with Nissan North America to deploy up to 4,700 Nissan Leaf BEVs and 11,210 charging units in five market areas in Arizona, California, Oregon, Tennessee, and Washington. With the assistance of the Idaho National Laboratory, eTec will collect and analyze data to characterize vehicle consumer driving and charging behavior, evaluate the effectiveness of charging infrastructure, and understand the impact of PEV charging on the electric grid. Trials of various revenue systems for commercial and public charging infrastructure will also be conducted. The ultimate goal of The EV Project is to capture lessons learned to enable the mass deployment of PEVs. This paper is the first in a series of papers documenting the progress and findings of The EV Project. This paper describes key research objectives of The EV Project and establishes the project background, including lessons learned from previous infrastructure deployment and PEV demonstrations. One such previous study was a PHEV demonstration conducted by the U.S. Department of Energy's Advanced Vehicle Testing Activity (AVTA), led by the Idaho National Laboratory (INL). AVTA's PHEV demonstration involved over 250 vehicles in the United States, Canada, and Finland. This paper summarizes driving and charging behavior observed in that demonstration, including the distribution of distance driven between charging events, charging frequency, and resulting proportion of operation charge depleting mode. Charging demand relative to time of day and day of the week will also be shown. Conclusions from the PHEV demonstration will be given which highlight the need for expanded analysis in The EV Project. For example, the AVTA PHEV demonstration showed that in the absence of controlled charging by the vehicle owner or electric utility, the majority of vehicles were charged in the evening hours, coincident with typical utility peak demand. Given this baseline, The EV Project will demonstrate the effects of consumer charge control and grid-side charge management on electricity demand. This paper will outline further analyses which will be performed by eTec and INL to documenting driving and charging behavior of vehicles operated in a infrastructure-rich environment.



Characterization Of In Use Medium Duty Electric Vehicle Driving And Charging Behavior


Characterization Of In Use Medium Duty Electric Vehicle Driving And Charging Behavior
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Author :
language : en
Publisher:
Release Date : 2014

Characterization Of In Use Medium Duty Electric Vehicle Driving And Charging Behavior written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with categories.


The U.S. Department of Energy's American Recovery and Reinvestment Act (ARRA) deployment and demonstration projects are helping to commercialize technologies for all-electric vehicles (EVs). Under the ARRA program, data from Smith Electric and Navistar medium duty EVs have been collected, compiled, and analyzed in an effort to quantify the impacts of these new technologies. Over a period of three years, the National Renewable Energy Laboratory (NREL) has compiled data from over 250 Smith Newton EVs for a total of over 100,000 days of in-use operation. Similarly, data have been collected from over 100 Navistar eStar vehicles, with over 15,000 operating days having been analyzed. NREL has analyzed a combined total of over 4 million kilometers of driving and 1 million hours of charging data for commercial operating medium duty EVs. In this paper, the authors present an overview of medium duty EV operating and charging behavior based on in-use data collected from both Smith and Navistar vehicles operating in the United States. Specifically, this paper provides an introduction to the specifications and configurations of the vehicles examined; discusses the approach and methodology of data collection and analysis, and presents detailed results regarding daily driving and charging behavior. In addition, trends observed over the course of multiple years of data collection are examined, and conclusions are drawn about early deployment behavior and ongoing adjustments due to new and improving technology. Results and metrics such as average daily driving distance, route aggressiveness, charging frequency, and liter per kilometer diesel equivalent fuel consumption are documented and discussed.



Characterization Of In Use Medium Duty Electric Vehicle Driving And Charging Behavior


Characterization Of In Use Medium Duty Electric Vehicle Driving And Charging Behavior
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Author : Adam Duran
language : en
Publisher:
Release Date : 2014

Characterization Of In Use Medium Duty Electric Vehicle Driving And Charging Behavior written by Adam Duran and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with Automobile driving categories.


The U.S. Department of Energy's American Recovery and Reinvestment Act (ARRA) deployment and demonstration projects are helping to commercialize technologies for all-electric vehicles (EVs). Under the ARRA program, data from Smith Electric and Navistar medium duty EVs have been collected, compiled, and analyzed in an effort to quantify the impacts of these new technologies. Over a period of three years, the National Renewable Energy Laboratory (NREL) has compiled data from over 250 Smith Newton EVs for a total of over 100,000 days of in-use operation. Similarly, data have been collected from over 100 Navistar eStar vehicles, with over 15,000 operating days having been analyzed. NREL has analyzed a combined total of over 4 million kilometers of driving and 1 million hours of charging data for commercial operating medium duty EVs. In this paper, the authors present an overview of medium duty EV operating and charging behavior based on in-use data collected from both Smith and Navistar vehicles operating in the United States. Specifically, this paper provides an introduction to the specifications and configurations of the vehicles examined; discusses the approach and methodology of data collection and analysis, and presents detailed results regarding daily driving and charging behavior. In addition, trends observed over the course of multiple years of data collection are examined, and conclusions are drawn about early deployment behavior and ongoing adjustments due to new and improving technology. Results and metrics such as average daily driving distance, route aggressiveness, charging frequency, and liter per kilometer diesel equivalent fuel consumption are documented and discussed.



Vehicle To Grid


Vehicle To Grid
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Author : Lance Noel
language : en
Publisher: Springer
Release Date : 2019-01-04

Vehicle To Grid written by Lance Noel and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-04 with Technology & Engineering categories.


​This book defines and charts the barriers and future of vehicle-to-grid technology: a technology that could dramatically reduce emissions, create revenue, and accelerate the adoption of battery electric cars. This technology connects the electric power grid and the transportation system in ways that will enable electric vehicles to store renewable energy and offer valuable services to the electricity grid and its markets. To understand the complex features of this emergent technology, the authors explore the current status and prospect of vehicle-to-grid, and detail the sociotechnical barriers that may impede its fruitful deployment. The book concludes with a policy roadmap to advise decision-makers on how to optimally implement vehicle-to-grid and capture its benefits to society while attempting to avoid the impediments discussed earlier in the book.