Electric and Plug-in Hybrid Vehicle Networks: Optimization and Control
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This book explores the behavior of networks of electric and hybrid vehicles. The topics that are covered include: energy management issues for aggregates of plug-in vehicles; the design of sharing systems to support electro-mobility; context awareness in the operation of electric and hybrid vehicles, and the role that this plays in a Smart City context; and tools to test and design massively large-scale networks of such vehicles. The book also introduces new and interesting control problems that are becoming prevalent in the EV-PHEV's context, as well as identifying some open questions. A particular focus of the book is on the opportunities afforded by networked actuation possibilities in electric and hybrid vehicles, and the role that such actuation may play in air-quality and emissions management. Content: PrefaceAcronyms1 Introduction to Electric Vehicles1.1 Introduction1.2 Benefits and Challenges1.3 Contribution of the Book2 Disruption in the Automotive Industry2.1 Introduction2.2 Causes for ChangeSection I Energy Management for Electric Vehicles (EVs)3 Introduction to Energy Management Issues3.1 Introduction3.2 Energy Consumption in Road Networks3.3 Distribution of Charging Facilities3.4 Interaction with the Power Grid4 Traffic Modeling for EVs4.1 Introduction4.2 Traffic Model4.3 Sample Applications4.4 Concluding Remarks5 Routing Algorithms for EVs5.1 Introduction5.2 Examples of Selfish Routing for EVs5.3 Collaborative Routing5.4 Concluding Remarks6 Balancing charging loads - A network perspective6.1 Introduction6.2 Stochastic Balancing for Charging6.3 Basic Algorithm6.4 Analysis6.5 Simulations6.6 Concluding Remarks7 Charging EVs7.1 Introduction7.2 EV Charging Schemes7.3 Specific Charging Algorithms for Plug-In EVs7.4 Test Scenarios7.5 Simulations7.6 Concluding Remarks8 Vehicle to Grid8.1 Introduction8.2 V2G and G2V Management of EVs8.3 Unintended Consequences of V2G Operations8.4 Concluding RemarksSection II The Sharing Economy and EVs9 Sharing Economy and Electric Vehicles9.1 Introduction and Setting9.2 Contributions10 On-Demand Access and Shared Vehicles10.1 Introduction10.2 On Types of Range Anxiety10.3 Problem Statement10.4 Mathematical Models10.5 Financial Calculations10.6 Reduction of Fleet Emissions10.7 Concluding Remarks11 Sharing Electric Charge Points and Parking Spaces11.1 Introduction11.2 Setting: Parking Spaces11.3 Dimensioning and Statistics11.4 Efficient Allocation of Premium Spaces11.5 Turning Private Charge Points into Public OnesSection III EVs and Smart Cities12 Context-Awareness of EVs in Smart Cities12.1 Introduction13 Using PHEVs to Regulate Aggregate Emissions (twinLIN)13.1 Background13.2 Cooperative Pollution Control13.3 Simulations14 Smart Procurement of Naturally Generated Energy (SPONGE)14.1 Mathematical Formulation14.2 Practical Implementation14.3 Specific Use-Case: SPONGE for Plug-in Buses14.4 Optimization Problem14.5 Simulation Results15 An Energy-Efficient Speed Advisory System for Electric Vehicles15.1 Introduction15.2 Power Consumption in EVs15.3 Algorithm15.4 Simulation 15.5 Concluding RemarksSection IV Platform Analytics and Tools16 E-Mobility Tools and Analytics16.1 Introduction17 A Large-Scale SUMO-Based Emulation Platform17.1 Introduction17.2 Prior work17.3 Description of the Platform17.4 Sample Application17.5 Concluding Remarks18 Scale-Free Distributed Optimization Tools for Smart City Applications18.1 Introduction18.2 The AIMD Algorithm18.3 Optimal Resource Allocation 18.4 Scale-Free and Privacy Preserving Advantages of AIMD18.5 Passivity
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