Download or read book Electric Vehicles In Shared Fleets Mobility Management Business Models And Decision Support Systems written by Kenan Degirmenci and published by World Scientific. This book was released on 2022-04-28 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: The electrification of shared fleets offers numerous benefits, including the reduction of local emissions of pollutants, which leads to ecological improvements such as the improvement of air quality. Electric Vehicles in Shared Fleets considers a holistic concept for a socio-technical system with a focus on three core areas: integrated mobility solutions, business models for economic viability, and information systems that support decision-making for the successful implementation and operation of electric vehicles in shared fleets.In this book, we examine different aspects within these areas including multimodal mobility, grid integration of electric vehicles, shared autonomous electric vehicle services, relocation strategies in shared fleets, and the challenge of battery life of electric vehicles. Insights into the future of transport are provided, which is predicted to be shared, autonomous, and electric. This will require the expansion of the charging infrastructure to provide adequate premises for the electrification of transportation and to create market demand.

Download or read book Electric Vehicle Business Models written by David Beeton and published by Springer. This book was released on 2014-12-27 with total page 247 pages. Available in PDF, EPUB and Kindle. Book excerpt: This contributed volume collects insights from industry professionals, policy makers and researchers on new and profitable business models in the field of electric vehicles (EV) for the mass market. This book includes approaches that address the optimization of total cost of ownership. Moreover, it presents alternative models of ownership, financing and leasing. The editors present state-of-the-art insights from international experts, including real-world case studies. The volume has been edited in the framework of the International Energy Agency’s Implementing Agreement for Cooperation on Hybrid and Electric Vehicles (IA-HEV). The target audience primarily comprises practitioners and decision makers but the book may also be beneficial for research experts and graduate students.

Download or read book Large scale Electric Vehicle Sharing Fleet Management written by Yuguang Wu and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Electric vehicle (EV) sharing services have received growing attention from investors and city dwellers in the decade. However, due to high operating costs and the increasing competition, profitability has become the bottleneck for many EV sharing service providers to succeed in the long run. My dissertation research focuses on developing mathematical models to design finer operational strategies for large-scale EV sharing fleets, especially in the stochastic and unbalanced transportation background. The basic blueprint is to upgrade EV fleet management from myopic strategies to location-based, energy-based, and environment-responsive policies. Specifically, we develop models to incorporate dynamic origin-destination pricing, congestion-responsive deployment, and battery health management into centralized EV sharing systems. First, we consider the dynamic pricing and dispatching of EVs given stochastic, time-varying, and heterogeneous customer demand. The EV operator monitors the fleet distribution and the demand signals to make real-time decisions. We adopt approximate dynamic programming (ADP) methods to solve the system. In particular, we develop neural network value function approximation (VFA) techniques that improve the policy performance. Our case study suggests that, with the demand-responsive pricing instrument, the EV fleet can effectively increase its expected profit, reduce the need for manual rebalancing, and smoothen the electricity usage across time. Next, we further investigate the interaction between the EV fleet and the congested transportation network. We extend the preliminary work to build a spatiotemporal network where the fleet operation and traffic states are captured by an approximated fluid model. The ADP algorithm maintains its effectiveness. We further design VFA methods to meet the learning need in the augmented state space. Numerical results demonstrate the benefit of dispatching vehicles using congestion-aware strategies. Finally, we consider the battery health management problem in an EV sharing fleet. We propose a continuous model to address the joint vehicle charging and moving problems for a large-scale EV sharing system. Under reasonable assumptions, the formulation is reduced to the continuous Kantorovich-Rubinstein transshipment and a battery-related optimization. On this basis, we obtain a near-optimal battery charging/replacing policy. Our model supports a shared EV fleet's decisions on charging device installation, vehicle relocation, and battery charging/replacing.

Download or read book Large scale Electric Vehicle Sharing Fleet Management written by Yuguang Wu and published by . This book was released on 2021 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Electric vehicle (EV) sharing services have received growing attention from investors and city dwellers in the decade. However, due to high operating costs and the increasing competition, profitability has become the bottleneck for many EV sharing service providers to succeed in the long run. My dissertation research focuses on developing mathematical models to design finer operational strategies for large-scale EV sharing fleets, especially in the stochastic and unbalanced transportation background. The basic blueprint is to upgrade EV fleet management from myopic strategies to location-based, energy-based, and environment-responsive policies. Specifically, we develop models to incorporate dynamic origin-destination pricing, congestion-responsive deployment, and battery health management into centralized EV sharing systems. First, we consider the dynamic pricing and dispatching of EVs given stochastic, time-varying, and heterogeneous customer demand. The EV operator monitors the fleet distribution and the demand signals to make real-time decisions. We adopt approximate dynamic programming (ADP) methods to solve the system. In particular, we develop neural network value function approximation (VFA) techniques that improve the policy performance. Our case study suggests that, with the demand-responsive pricing instrument, the EV fleet can effectively increase its expected profit, reduce the need for manual rebalancing, and smoothen the electricity usage across time. Next, we further investigate the interaction between the EV fleet and the congested transportation network. We extend the preliminary work to build a spatiotemporal network where the fleet operation and traffic states are captured by an approximated fluid model. The ADP algorithm maintains its effectiveness. We further design VFA methods to meet the learning need in the augmented state space. Numerical results demonstrate the benefit of dispatching vehicles using congestion-aware strategies. Finally, we consider the battery health management problem in an EV sharing fleet. We propose a continuous model to address the joint vehicle charging and moving problems for a large-scale EV sharing system. Under reasonable assumptions, the formulation is reduced to the continuous Kantorovich-Rubinstein transshipment and a battery-related optimization. On this basis, we obtain a near-optimal battery charging/replacing policy. Our model supports a shared EV fleet's decisions on charging device installation, vehicle relocation, and battery charging/replacing.

Download or read book Electric Vehicle Sharing Services for Smarter Cities written by Daniele Fabrizio Bignami and published by Springer. This book was released on 2017-08-20 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book examines electric car sharing in cities from a variety of perspectives, from service design to simulation, from mathematical modeling to technology deployment, and from energy use improvement to the integration of different kinds of vehicle. The contents reflect the outcomes of the Green Move project, undertaken by Politecnico di Milano with the aim of fostering an innovative and easily accessible electric vehicle sharing system. The first section of the book illustrates the car sharing service, covering service design, the configuration of the vehicle sharing model and the Milan mobility pattern, analysis of local demand and supply, testing of the condominium-based car sharing model, and communication design for social engagement. The second section then explains the technological choices, from the architecture of the system and dynamic applications to information management, the smartphone-based energy-oriented driving assistance system, automatic fleet balancing systems, and real-time monitoring of vehicle positions. In the final section, readers will find descriptions of the simulation model, a model to estimate potential users of the service, and a model for a full-scale electric car sharing service in Milan.

Download or read book Leverage Data Streams for Better Operational Decision Making written by Christoph Prinz and published by Cuvillier Verlag. This book was released on 2023-05-31 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: Smart sustainable mobility ecosystems promise to address society’s expectation of environmentally friendly on-demand mobility. While the technology stack to build such ecosystems is just around the corner in the form of connected, automated, and electric vehicles, strategies to deploy and operate such fleets in a coordinated manner must still be advanced. Most of such optimization challenges highly depend on the nature of customer demand, vehicle supply, and environmental influences. Hence, this dissertation investigates how available data streams from mobility ecosystems can be leveraged in Information Systems to solve related decision problems. The overarching goal of this work is to generate design knowledge to improve vehicle availability, provider profitability, and environmental sustainability for such ecosystems. Applying quantitative methods to real-world data from shared vehicle systems generates insights into the nature of demand and supply. Combining it with an analysis of empirical research on vehicle relocation algorithms builds the foundation for two artifact designs. The first artifact enables the development and simulation-based evaluation of operation modes for vehicle fleets. The second artifact enables artificial intelligence-based decision support for the vehicle rebalancing problem. The insights are finally incorporated and generalized to a nascent design theory on data-enabled operational decision-making in the context of smart sustainable mobility environments. The findings have multifaceted implications for researchers concerned with data-enabled value creation in Green IS, shared economy and smart mobility, and business analytics and data science. Furthermore, guidance for fleet providers to improve system attractiveness and for society to experience the potential amount of vehicle access without personal ownership is provided.

Download or read book Power Trip written by Matthew David Dean and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The climate crisis requires substantial shifts in the transportation and energy sectors. Greater use of intermittent renewable energy sources requires demand- and supply-side flexibility in electricity markets. Deployment of on-demand, shared, fully automated, and electric vehicle (SAEV) fleets offers natural synergies in meeting such challenges. Smart charging (and discharging) of electric vehicles (EVs) can shift loads away from peak demand to reduce, or at least delay, expensive infrastructure upgrades, while fleet managers lower emissions and power costs in real time. This dissertation explores (1) optimization-based idle-vehicle dispatch strategies to improve SAEV fleet operations in the Austin metro, (2) integration of power and transportation system (EV-use) modeling across the Chicago metro area, and (3) a case study of demand response participation and charging station siting in a region with multiple energy suppliers. Optimizing SAEV repositioning and charging dispatch strategies jointly lowered rider wait times by 39%, on average, and increased daily trips served per SAEV by 28% (up to 6.4 additional riders), compared to separate range-agnostic repositioning and heuristic charging strategies. Joint strategies may also decrease the SAEV fleet’s empty travel by 5.7 to 12.8 percentage points (depending on geofencing and charging station density). If fleets pay dynamic electricity prices and wish to internalize their upstream charging emissions damages, a new multi-stage charging problem is required. A day-ahead energy transaction problem provides targets for a within-day idle-vehicle dispatch strategy that balances charging, discharging, repositioning, and maintenance decisions. This strategy allowed the Austin SAEV fleet to lower daily power costs (by 15.5% or $0.79/day/SAEV, on average) while reducing health damages from generation-related pollution (2.8% or $0.43/day/SAEV, on average). Fleet managers obtained higher profits ($8 per SAEV per day) by serving more passengers per day than with simpler (price-agnostic) dispatch strategies. This dissertation also coupled an agent-based travel demand simulator (POLARIS) with an electricity grid model (A-LEAF) to evaluate charging impacts on the power grid across seasons, household-EV adoption levels, SAEV mode shares, and dynamic ride-sharing assumptions in 2035 for the Chicago, Illinois metro. At relatively low EV penetration levels (8% to 17%), an increase in electricity demand will require at most 1 GW of additional generation capacity. Illinois’ transition to intermittent variable renewable energy (VRE) and phase-out of coal-fired power plants will likely not noticeably increase wholesale power prices, even with unmanaged personal EV charging at peak hours. However, wholesale power prices will increase during peak winter hours (by +$100/MWh, or $0.10/kWh) and peak summer hours (+$300/MWh) due to higher energy fees and steep congestion fees on Illinois’ 2015-era transmission system. Although a smart-charging SAEV fleet uses wholesale prices to reduce electricity demand during peak hours, spreading charging demand in hours before and after the baseline peak creates new "ridges" in energy demand, which raise prices for all. These simulation results underscore the importance of investing in transmission system expansion and reducing barriers to upgrading or building new transmission infrastructure. If vehicles and chargers support bidirectional charging, SAEVs can improve grid reliability and resilience at critical times through demand response (DR) programs that allow load curtailment and vehicle-to-grid (V2G) power. Scenario testing of DR requests in Austin ranging from 1 MW to 12 MW between 4 and 5 PM reveals break-even compensation costs (to SAEV owners) that range from $86/kW to $4,160/kW (if the city imposes unoccupied travel fees), depending on vehicle locations and battery levels at the time of the DR request. Smaller requests can be met without V2G by reducing charging speeds, usually from 120 kW speed to Level 2 charging. Finally, an incremental charging station heuristic was designed to capture differences in land costs and electricity rate structures from different energy suppliers in the same region. The daily amortized costs over 10 years of hardware, installation, and land costs were estimated to be nearly $0.30/SAEV/day, compared to $0.38/SAEV/day with a baseline heuristic strategy ignoring land costs and marginal costs of expanding existing sites. SAEV charging costs showed no substantial difference between heuristic strategies, although combined daily energy fees were more expensive at $0.43/SAEV/day. Including land costs in charging station investment heuristics is necessary, and modelers should include spatially varying energy prices since the average daily per-vehicle energy costs are higher than the physical station costs. Taken together, this dissertation’s contributions offer hope for a decarbonizing world that provides affordable, clean, and convenient on-demand mobility

Download or read book Electric Vehicle Integration into Modern Power Networks written by Rodrigo Garcia-Valle and published by Springer Science & Business Media. This book was released on 2012-11-29 with total page 331 pages. Available in PDF, EPUB and Kindle. Book excerpt: Electric Vehicle Integration into Modern Power Networks provides coverage of the challenges and opportunities posed by the progressive integration of electric drive vehicles. Starting with a thorough overview of the current electric vehicle and battery state-of-the-art, this work describes dynamic software tools to assess the impacts resulting from the electric vehicles deployment on the steady state and dynamic operation of electricity grids, identifies strategies to mitigate them and the possibility to support simultaneously large-scale integration of renewable energy sources. New business models and control management architectures, as well as the communication infrastructure required to integrate electric vehicles as active demand are presented. Finally, regulatory issues of integrating electric vehicles into modern power systems are addressed. Inspired by two courses held under the EES-UETP umbrella in 2010 and 2011, this contributed volume consists of nine chapters written by leading researchers and professionals from the industry as well as academia.

Download or read book Vehicle to Grid written by Lance Noel and published by Springer. This book was released on 2019-01-04 with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt: ​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.

Download or read book Road Vehicle Automation 3 written by Gereon Meyer and published by Springer. This book was released on 2016-07-01 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited book comprises papers about the impacts, benefits and challenges of connected and automated cars. It is the third volume of the LNMOB series dealing with Road Vehicle Automation. The book comprises contributions from researchers, industry practitioners and policy makers, covering perspectives from the U.S., Europe and Japan. It is based on the Automated Vehicles Symposium 2015 which was jointly organized by the Association of Unmanned Vehicle Systems International (AUVSI) and the Transportation Research Board (TRB) in Ann Arbor, Michigan, in July 2015. The topical spectrum includes, but is not limited to, public sector activities, human factors, ethical and business aspects, energy and technological perspectives, vehicle systems and transportation infrastructure. This book is an indispensable source of information for academic researchers, industrial engineers and policy makers interested in the topic of road vehicle automation.

Download or read book The Advent of Unmanned Electric Vehicles written by S. Van Themsche and published by Springer. This book was released on 2015-08-29 with total page 407 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explaining in detail how new e-mobility technologies work, and the system requirements which must be fulfilled for these new technologies to be implemented, this book augments this analysis with discussion of the business models, financing and social and economic conditions that will foster the emergence of a new e-mobility industry. New e-mobility technologies and business models will initiate changes in work patterns and in our personal choices on transportation means. This book looks at how smart cities may apply the “internet of things” to the transportation environment and how this may create a complete set of new technologies and service offerings that will enable the advent of the unmanned vehicle society. This e-mobility revolution will disrupt the transport market and bring opportunities and threats for many potential actors. These consequences are analysed within. This book is suitable for anyone interested in the e-mobility revolution and its impact on the future of cars, buses and trains.

Download or read book Markets and Policy Measures in the Evolution of Electric Mobility written by Dirk Fornahl and published by Springer. This book was released on 2015-11-06 with total page 219 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited monograph collects theoretical, empirical and political contributions from different fields, focusing on the commercial launch of electric mobility, and intending to shed more light on the complexity of supply and demand. It is an ongoing discussion, both in the public as well as in academia, whether or not electric mobility is capable of gaining a considerable market share in the near future. The target audience primarily comprises researchers and practitioners in the field, but the book may also be beneficial for graduate students.

Download or read book Three Revolutions written by Daniel Sperling and published by Island Press. This book was released on 2018-03 with total page 253 pages. Available in PDF, EPUB and Kindle. Book excerpt: Front Cover -- About Island Press -- Subscribe -- Title Page -- Copyright Page -- Contents -- Preface -- Acknowledgments -- 1. Will the Transportation Revolutions Improve Our Lives-- or Make Them Worse? -- 2. Electric Vehicles: Approaching the Tipping Point -- 3. Shared Mobility: The Potential of Ridehailing and Pooling -- 4. Vehicle Automation: Our Best Shot at a Transportation Do-Over? -- 5. Upgrading Transit for the Twenty-First Century -- 6. Bridging the Gap between Mobility Haves and Have-Nots -- 7. Remaking the Auto Industry -- 8. The Dark Horse: Will China Win the Electric, Automated, Shared Mobility Race? -- Epilogue -- Notes -- About the Contributors -- Index -- IP Board of Directors

Download or read book Evolutionary Paths Towards the Mobility Patterns of the Future written by Michael Hülsmann and published by Springer Science & Business Media. This book was released on 2013-09-26 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited volume presents new insights and challenges in the field of electric mobility in relation to new mobility and infrastructure concepts as well as to renewable energies. The book covers the socio-economic view on the topic as well as technical aspects and thus offers valuable knowledge for future business models. It primarily addresses practitioners and researchers in the field but may also be of use to graduate students.

Download or read book The Automobile Revolution written by Danielle Attias and published by Springer. This book was released on 2016-10-01 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses cars of the future and the new socio-economic paradigm that they represent. It examines the electromobility revolution in the traditional automotive industry and brings together multidisciplinary expertise to provide insights into the shift towards electromobility. New vehicular technologies may develop in various directions, including the smart car, and this context raises two important questions: will car manufactures maintain control over the industry? And if so, will they be able to come up with sufficiently radical innovations to steer us into the electromobility of tomorrow? One thing is certain: the transition to electromobility will be a revolution. The book’s combined approach to understanding this complex reality enables readers to better visualize the possible future directions. It offers anyone interested in electromobility an excellent review of the subject and a useful roadmap to future developments.

Download or read book Design of Energy sponge Transportation Systems written by Yikang Hua and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The shared electric vehicle (EV) fleet holds high promise for providing eco-friendly transportation service. However, due to high operating costs and complicated logistics, EV penetration into car-sharing markets is not as smooth as expected. My dissertation aims to develop an innovative design, analysis and optimization framework for a sustainable EV sharing system that covers the entire life cycle of the fleet. We focus on developing mathematical models for the proposed EV sharing system, from initial infrastructure planning to management in later periods step by step. We start from a long-term planning perspective and explore the optimal infrastructure deployment to establish the EV sharing system. Based on this infrastructure and the information from the energy market, we explore the mobility service that provides resilience service for both power grid and transportation systems. With this mobility service and associated operating strategies, we calibrate the charging process on a single-vehicle basis by considering battery depletion to increase the long-term sustainability of the entire system. First, we propose an innovative framework to help a shared EV fleet determine where to deploy charging stations. In this work, long-term infrastructure planning and real-time fleet operations are jointly optimized under time-varying uncertain demand based on a multistage stochastic model. Second, we propose a so-called energy-sponge mobility service for a well-deployed shared EV fleet where the fleet serves as a mutual backup in both energy and transportation systems. We establish a two-stage stochastic model to provide systematic management strategies for such a power-grid-integrated EV sharing system under demand uncertainties. In this model, the bid process of an EV fleet operator in the day-ahead energy and reserve market constitutes the first stage, which is optimized based upon macroscopic modeling on the next-day operations of the EV fleet as the second stage. Third, we build a continuous-time Markov chain model to address the joint vehicle charging and moving problems for a large-scale EV sharing system with battery degradation concerns. This model can guide a shared EV fleet on charging device installation, vehicle relocation, and battery charging/replacing.

Download or read book Unsettled Impacts of Integrating Automated Electric Vehicles Into a Mobility as a Service Ecosystem and Effects on Traditional Transportation and Owne written by Joachim Taiber and published by Sae Edge Research Report. This book was released on 2019-12-20 with total page 24 pages. Available in PDF, EPUB and Kindle. Book excerpt: The current business model of the automotive industry is based on individual car ownership, yet new ridesharing companies such as Uber and Lyft are well capitalized to invest in large, commercially operated, on-demand mobility service vehicle fleets. Car manufacturers like Tesla want to incorporate personal car owners into part-time fleet operation by utilizing the company's fleet service. These robotaxi fleets can be operated profitably when the technology works in a reliable manner and regulators allow driverless operation. Although Mobility-as-a-Service (MaaS) models of private and commercial vehicle fleets can complement public transportation models, they may contribute to lower public transportation ridership and thus higher subsidies per ride. This can lead to inefficiencies in the utilization of existing public transportation infrastructure. MaaS platforms can also cause a reduced reliance on parking infrastructure (e.g., street parking lanes and parking garages) which can contribute to an improvement in overall traffic flow, and a reduction in capital investment for commercial and residential real-estate development. Urban planning can be better centered around the true mobility needs of the citizens without sacrificing valuable space for vehicles that are inactive most of the time. A key challenge is the transition phase where traditional forms of car ownership and transportation coexist with new forms of mobility services (before true MaaS platforms are fully optimized). Another fundamental issue is determining the true cost of car ownership and establishing ideal cost structures for on-demand mobility services in order to replace the need of owning a car. This needs to occur without compromising subsidized public transportation which provides affordable transportation for low-income groups. NOTE: SAE EDGE(TM) Research Reports are intended to identify and illuminate key issues in emerging, but still unsettled, technologies of interest to the mobility industry. The goal of SAE EDGE(TM) Research Reports is to stimulate discussion and work in the hope of promoting and speeding resolution of identified issues. SAE EDGE(TM) Research Reports are not intended to resolve the issues they identify or close any topic to further scrutiny.