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Analysis of Plug-in Hybrid Electric Vehicles' Utility Factors Using GPS-based Longitudinal Travel Data

Analysis of Plug-in Hybrid Electric Vehicles' Utility Factors Using GPS-based Longitudinal Travel Data PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 12

Book Description
The benefit of using a PHEV comes from its ability to substitute gasoline with electricity in operation. Defined as the proportion of distance traveled in the electric mode, the utility factor (UF) depends mostly on the battery capacity, but also on many other factors, such as travel pattern and recharging pattern. Conventionally, the UFs are calculated based on the daily vehicle miles traveled (DVMT) by assuming motorists leave home in the morning with a full battery, and no charge occurs before returning home in the evening. Such an assumption, however, ignores the impact of the heterogeneity in both travel and charging behavior, such as going back home more than once in a day, the impact of available charging time, and the price of gasoline. In addition, the conventional UFs are based on the National Household Travel Survey (NHTS) data, which are one-day travel data of each sample vehicle. A motorist's daily distance variation is ignored. This paper employs the GPS-based longitudinal travel data (covering 3-18 months) collected from 403 vehicles in the Seattle metropolitan area to investigate how such travel and charging behavior affects UFs. To do this, for each vehicle, we organized trips to a series of home and work related tours. The UFs based on the DVMT are found close to those based on home-to-home tours. However, it is seen that the workplace charge opportunities significantly increase UFs if the CD range is no more than 40 miles.

Analysis of Plug-in Hybrid Electric Vehicles' Utility Factors Using GPS-based Longitudinal Travel Data

Analysis of Plug-in Hybrid Electric Vehicles' Utility Factors Using GPS-based Longitudinal Travel Data PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 12

Book Description
The benefit of using a PHEV comes from its ability to substitute gasoline with electricity in operation. Defined as the proportion of distance traveled in the electric mode, the utility factor (UF) depends mostly on the battery capacity, but also on many other factors, such as travel pattern and recharging pattern. Conventionally, the UFs are calculated based on the daily vehicle miles traveled (DVMT) by assuming motorists leave home in the morning with a full battery, and no charge occurs before returning home in the evening. Such an assumption, however, ignores the impact of the heterogeneity in both travel and charging behavior, such as going back home more than once in a day, the impact of available charging time, and the price of gasoline. In addition, the conventional UFs are based on the National Household Travel Survey (NHTS) data, which are one-day travel data of each sample vehicle. A motorist's daily distance variation is ignored. This paper employs the GPS-based longitudinal travel data (covering 3-18 months) collected from 403 vehicles in the Seattle metropolitan area to investigate how such travel and charging behavior affects UFs. To do this, for each vehicle, we organized trips to a series of home and work related tours. The UFs based on the DVMT are found close to those based on home-to-home tours. However, it is seen that the workplace charge opportunities significantly increase UFs if the CD range is no more than 40 miles.

Analysis of Plug-in Hybrid Electric Vehicles' Utility Factors Using GPS-based Longitudinal Travel Data

Analysis of Plug-in Hybrid Electric Vehicles' Utility Factors Using GPS-based Longitudinal Travel Data PDF Author: Md Aviquzzaman
Publisher:
ISBN:
Category : Geodatabases
Languages : en
Pages : 114

Book Description


Utility Factor Definitions for Plug-in Hybrid Vehicles Using Travel Survey Data

Utility Factor Definitions for Plug-in Hybrid Vehicles Using Travel Survey Data PDF Author: Society of Automotive Engineers
Publisher:
ISBN:
Category : Hybrid electric vehicles
Languages : en
Pages : 45

Book Description


Utility Factor Definitions for Plug-In Hybrid Electric Vehicles Using 2001 U.S. DOT National Household Travel Survey Data

Utility Factor Definitions for Plug-In Hybrid Electric Vehicles Using 2001 U.S. DOT National Household Travel Survey Data PDF Author: Hybrid - EV Committee
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

Book Description
The total fuel and energy consumption rates of a Plug-In Hybrid Electric Vehicle (PHEV) vary depending upon the distance driven. For PHEVs, the assumption is that operation starts in battery charge-depleting mode and eventually changes to battery charge-sustaining mode. Total distance between charge events determines how much of the driving is performed in each of the two fundamental modes. An equation describing the portion of driving in each mode is defined. Driving statistics from the National Highway Transportation Survey are used as inputs to the equation to provide an aggregate "Utility Factor" (UF) applied to the charge-depleting mode results.Various stakeholders are currently developing their own standards for testing PHEVs. The method of weighting the results using a UF is accepted by many of the stakeholders. However, the stakeholders need a standard document to reference in their procedures. These curves must be from a common standard generated from a standardized calculation method. SAE J1711 will reference this document and as new and/or better data become available, this Information Report may be updated without changing the SAE J1711 or other stakeholder procedures.

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 PDF Author: Jamie Davies-Shawhyde
Publisher:
ISBN: 9781124722788
Category :
Languages : en
Pages :

Book Description
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.

Smart Energy for Smart Transport

Smart Energy for Smart Transport PDF Author: Eftihia G. Nathanail
Publisher: Springer Nature
ISBN: 3031237218
Category : Technology & Engineering
Languages : en
Pages : 1837

Book Description
This book reports on original research and practical findings fostering sustainable and smart urban mobility transformation. Gathering contributions presented at the 6th Conference on Sustainable Urban Mobility, held from August 31 to September 2, 2022, on Skiathos Island, Greece, it covers topics relating to electric and clean energy, intelligent technologies and automation, green travel modes, and transport safety. It highlights solutions for inclusive transportation, sustainable and resilient supply chains, and describes novel strategies for urban planning and innovative transport infrastructure. This book offers extensive information to academicians, researchers, practitioners and decision makers working on effective strategies to transform urban mobility in a sustainable and equitable way.

Using GPS Travel Data to Assess the Real World Driving Energy Use of Plug-In Hybrid Electric Vehicles (PHEVs).

Using GPS Travel Data to Assess the Real World Driving Energy Use of Plug-In Hybrid Electric Vehicles (PHEVs). PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 13

Book Description
Highlights opportunities using GPS travel survey techniques and systems simulation tools for plug-in hybrid vehicle design improvements, which maximize the benefits of energy efficiency technologies.

Transportation in a Net Zero World: Transitioning Towards Low Carbon Public Transport

Transportation in a Net Zero World: Transitioning Towards Low Carbon Public Transport PDF Author: Kathryn G. Logan
Publisher: Springer Nature
ISBN: 3030966747
Category : Technology & Engineering
Languages : en
Pages : 124

Book Description
This book discusses the importance of transitioning from conventionally fuelled, electric and hydrogen personal vehicles towards low carbon electric and hydrogen public transport. It presents international comparisons and case studies of countries who have successfully and unsuccessfully implemented policies to reduce their emissions from land-based transport. It discusses and provides policy recommendations to meet a net zero transport world by exploring potential issues, including infrastructure changes and electricity generation mix which may prevent targets being met successfully. The book also demonstrates how the COVID-19 pandemic has influenced individual transport choices and what will need to be done to ensure travel remains sustainable going forward. Aligned with an active area of academic and civil discourse on the topic of sustainable transportation systems, Transportation in a Net Zero World will be of interest to researchers, policy makers, and graduate students alike, in the fields of environmental science and transport studies.

How Assumptions about Consumers Influence Estimates of Electric Vehicle Miles Traveled of Plug-in Hybrid Electric Vehicles

How Assumptions about Consumers Influence Estimates of Electric Vehicle Miles Traveled of Plug-in Hybrid Electric Vehicles PDF Author: Jamie Davies
Publisher:
ISBN:
Category : Automobile drivers
Languages : en
Pages : 9

Book Description


Cyber-Physical-Human Systems

Cyber-Physical-Human Systems PDF Author: Anuradha M. Annaswamy
Publisher: John Wiley & Sons
ISBN: 1119857406
Category : Computers
Languages : en
Pages : 596

Book Description
Cyber–Physical–Human Systems A comprehensive edited volume exploring the latest in the interactions between cyber–physical systems and humans In Cyber–Physical–Human Systems: Fundamentals and Applications, a team of distinguished researchers delivers a robust and up-to-date volume of contributions from leading researchers on Cyber–Physical–Human Systems, an emerging class of systems with increased interactions between cyber–physical, and human systems communicating with each other at various levels across space and time, so as to achieve desired performance related to human welfare, efficiency, and sustainability. The editors have focused on papers that address the power of emerging CPHS disciplines, all of which feature humans as an active component during cyber and physical interactions. Articles that span fundamental concepts and methods to various applications in engineering sectors of transportation, robotics, and healthcare and general socio-technical systems such as smart cities are featured. Together, these articles address challenges and opportunities that arise due to the emerging interactions between cyber–physical systems and humans, allowing readers to appreciate the intersection of cyber–physical system research and human behavior in large-scale systems. In the book, readers will also find: A thorough introduction to the fundamentals of cyber–physical–human systems In-depth discussions of cyber–physical–human systems with applications in transportation, robotics, and healthcare A comprehensive treatment of socio-technical systems, including social networks and smart cities Perfect for cyber–physical systems researchers, academics, and graduate students, Cyber–Physical–Human Systems: Fundamentals and Applications will also earn a place in the libraries of research and development professionals working in industry and government agencies.