SMART CHARGING SOLUTIONS The most comprehensive and up-to-date study of smart charging solutions for hybrid and electric vehicles for engineers, scientists, students, and other professionals. As our dependence on fossil fuels continues to wane all over the world, demand for dependable and economically feasible energy sources continues to grow. As environmental regulations become more stringent, energy production is relying more and more heavily on locally available renewable resources. Furthermore, fuel consumption and emissions are facilitating the transition to sustainable transportation. The market for electric vehicles (EVs) has been increasing steadily over the past few years throughout the world. With the increasing popularity of EVs, a competitive market between charging stations (CSS) to attract more EVs is expected. This outstanding new volume is a resource for engineers, researchers, and practitioners interested in getting acquainted with smart charging for electric vehicles technologies. It includes many chapters dealing with the state-of-the-art studies on EV smart charging along with charging infrastructure. Whether for the veteran engineer or student, this is a must-have volume for any library. Smart Charging Solutions for Hybrid and Electric Vehicles: Presents the state of the art of smart charging for hybrid and electric vehicles, from a technological point of view Focuses on optimization and prospective solutions for practical problems Covers the most important recent developmental technologies related to renewable energy, to keep the engineer up to date and well informed Includes economic considerations, such as business models and price structures Covers standards and regulatory frameworks for smart charging solutions
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Preface xv 1 Smart Charging: An Outlook Towards its Role and Impacts, Enablers, Markets, and the Global Energy System 1Bikash Sah and Praveen Kumar 1.1 Introduction to Smart Charging 2 1.1.1 Context of SMART 3 1.1.2 Approaches 5 1.1.3 Contributions 5 1.2 Types of Charging 6 1.2.1 Uncoordinated Charging 6 1.2.2 Coordinated Charging 7 1.2.3 Smart Charging 8 1.3 Impact of Smart Charging on Global Energy Systems 14 1.3.1 On the Grid Side 15 1.3.2 On the Demand Side 15 1.3.3 Overall Infrastructure 16 1.4 Types of Smart Charging 16 1.5 Entities of a Smart-Charging System 18 1.5.1 Operators: Generation, Transmission, and Distribution 19 1.5.2 Controllers 19 1.5.3 Aggregators 20 1.5.4 Communication System 20 1.5.5 Stakeholders 22 1.5.5.1 Policymakers 22 1.5.5.2 Manufacturers 23 1.5.5.3 Service and Support Providers 23 1.5.5.4 Consumers 23 1.5.6 Market 24 1.6 Enablers of Smart Charging 24 1.7 Control Architectures 26 1.7.1 Centralized 26 1.7.2 Decentralized 27 1.7.3 Comments on Suitability 28 1.8 Outlook towards Smart Charging 30 1.9 Conclusion 31 References 32 2 Influence of Electric Vehicles on Improvements in the Electric Distribution Grid 39Michela Longo, Wahiba Yaïci and Dario Zaninelli 2.1 Introduction 39 2.2 Evolution of the Distribution System 41 2.2.1 Present and Next Challenges of the Distribution System 41 2.2.2 Energy Planning 43 2.2.3 Impacts on the Consumption of Energy Sources 45 2.2.4 Impacts of the Consumption on Distribution Networks 45 2.2.5 Evolution towards Smart Grids 46 2.3 Electric Mobility 50 2.3.1 Electric Vehicle Classification 51 2.3.2 Electric Mobility Maturity in Italy 53 2.3.2.1 Technological Maturity 54 2.3.2.2 Regulatory Maturity 54 2.3.2.3 Market Maturity 54 2.3.3 Electric Vehicle Market 57 2.3.4 Italian EV Market 58 2.3.5 The Influence of Batteries 59 2.3.6 Future Scenarios 61 2.3.7 Plans for the Diffusion of Charging Systems in Italy – PNIRE 64 2.3.8 Models and Diffusion Plans 65 2.3.8.1 The ANCI Guidelines 66 2.3.9 Charging Infrastructure 66 2.4 Charging Infrastructure for Electric Vehicles 68 2.4.1 State-of-the-Art Charging Infrastructure 68 2.4.2 Charging Modes 69 2.4.2.1 Mode 1: Charging in Domestic Environment, Slow (6-8 h) up to 16 A 70 2.4.2.2 Mode 2: Charging in Domestic Environment, Slow (3-4 h) up to 32 A 71 2.4.2.3 Mode 3: Recharge in Domestic and Public Environment, Slow (6-8 h) or Fast (30 min – 1 h) 71 2.4.2.4 Mode 4: Charging in Public Environment, Fast (10-30 min) (Charging in Direct Current) 71 2.4.3 Charging Poles 72 2.4.4 Charging Connectors 75 2.4.5 Pilot Circuit 77 2.4.6 Complete Pilot Circuit 78 2.4.7 Simplified Pilot Circuit 78 2.5 Conclusion 79 References 79 3 Smart Charging Strategies for the Changing Grid 83Chandana Sasidharan and Shweta Kalia 3.1 Introduction 83 3.2 Charging Strategy based on Vehicle Type 86 3.3 Mapping of Charging Strategies 90 3.4 Evaluation of Charging Strategies 99 References 100 4 Pricing Schemes for Smart Charging 105Ahad Abessi, Vahid Safari and Mohammad Shadnam Zarbil Abbreviations 105 Nomenclature 106 4.1 Introduction 108 4.2 Concepts and Issues in Charging Pricing 109 4.3 Different Models of Charging Stations’ Dynamic Pricing 111 4.4 Classification of Charging Pricing Models 112 4.4.1 Stochastic Dynamic Pricing 114 4.4.1.1 Profit of Charging Stations 116 4.4.1.2 Customer Satisfaction 117 4.4.1.3 Effect on the Power Grid 117 4.4.1.4 Multi-Objective Optimization Framework 118 4.4.2 Distributed Dynamic Pricing Policy Method 119 4.4.2.1 Distributed Dynamic Pricing Strategy 119 4.4.2.2 Usage-Based Dynamic Pricing (UDP) 121 4.4.2.3 Distributed Demand Response Pricing (D2R) 122 4.4.2.4 Quadratic Cost Function Pricing (QCF) 123 4.4.3 Integrated Dynamic Pricing and Scheduling of EV Charging Stations 123 4.4.4 Competitive Charging Station Pricing 124 4.4.4.1 Charger Station Pricing Game (CSPG) 125 4.4.5 Negotiation Pricing in Charging Stations 126 4.4.5.1 Initial Price of EV User 127 4.4.5.2 Charging Station Operator Initial Price 127 4.4.5.3 Strategy of Price Adjustment for Charging Station Operator 128 4.4.5.4 Price Adjustment Strategy of EV User 128 4.4.6 Charging Pricing of Fast Charging Stations for the Voltage Control of Distribution Network 129 4.4.6.1 The Lower-Layer Optimization Model 129 4.4.6.2 The Upper-Layer Optimization Model 131 4.4.7 Online Reinforcement Learning Approach for Dynamic Pricing 132 4.5 Electricity Pricing of Vehicle Discharging to Grid 134 4.5.1 Scheme of Discharge Pricing 135 4.5.2 Some Common Schemes of Discharge Pricing 137 4.6 Electricity Pricing Currently Used at Charging Stations 137 4.7 Effect of Charging Pricing on Economic Competitiveness of Electric Vehicles 139 4.8 Conclusion 140 References 141 5 Management of Electric Vehicles Using Automatic Learning Algorithms: Application in Office Buildings 143Andres Alonso Rodriguez, Luis Perdomo, Ameena Al-sumaiti, Francisco Santamaria and Sergio Rivera 5.1 Introduction 143 5.2 Proposed Charging Strategy 145 5.3 Test Bed and Implementation Results 150 5.4 Conclusion 155 References 156 6 High-Power Charging Strategies of EV Batteries and Energy Storage 159Marta Zurek-Mortka and Jerzy R. Szymanski Abbreviations 159 6.1 Introduction 160 6.2 EV Battery Set Model 163 6.3 Case Study of Charging High Power Li-Ion Battery for Energy Storage and Electric Work Machines 165 6.4 Proposed Constant Current and Constant Voltage Method for EV Battery Charging 169 6.5 Simulation Tests of EV Battery Charging 170 6.6 Conclusions 172 References 173 7 Integration of Fast Charging Stations for Electric Vehicles with the Industrial Power System 175Marta Zurek-Mortka and Jerzy R. Szymanski Abbreviations 176 7.1 Introduction 176 7.2 Structure of Hybrid EV Fast Charging Station 178 7.3 Use of Drive Voltage Frequency Converter for Charging EV Batteries 180 7.4 Fast Charging Converter Integrated with 600V DC Microgrid 183 7.5 Simulation and Experimental Study of Drive Voltage Frequency Converter Used to Charge EV Batteries 187 7.6 Conclusions 192 References 193 8 Regulatory Framework for Smart Charging in Hybrid and Electric Vehicles: Challenges, Driving Forces, and Lessons for Future Roadmap 195Rajkumar Viral and Divya Asija List of Abbreviations 196 8.1 Introduction 197 8.1.1 Status of Adopted EV Technology 199 8.1.2 Prospects and Current Market for Smart Charging 202 8.1.3 Status of International Intervened Framework 204 8.2 EV Charging Technology and Smart Charging 205 8.2.1 EV Charging Technology 205 8.2.1.1 Existent Charging Technologies for EVs 207 8.2.1.2 Emergent Charging Technologies for EVs 208 8.2.2 Smart Charging 209 8.2.3 Smart Charging: Current Status and Technological Advancement 211 8.2.3.1 Smart Charging Powered by Service Provider or Grid Operator Needs 211 8.2.3.2 Smart Charging Powered by EV Owners or Building Needs 211 8.2.4 Affordability and Current Infrastructure 214 8.2.4.1 Charging Stations 214 8.2.4.2 The Charger 215 8.2.5 Major Threats in Smart Charging 218 8.3 Smart Charging Standards 220 8.3.1 Standards Developed by IEC 220 8.3.1.1 IEC61851 Standard 220 8.3.1.2 IEC 61980 Standard 221 8.3.1.3 IEC62196 Standard 221 8.3.2 SAE Standards 221 8.3.2.1 SAEJ2293 Standard 221 8.3.2.2 SAEJ1772 Standard 221 8.3.2.3 SAEJ1773 Standard 221 8.3.2.4 SAEJ2847 and SAEJ2836 Standard 222 8.3.2.5 SAEJ2931 Standard 222 8.3.2.6 SAEJ2954 and SAEJ2954 Standard 222 8.3.3 Safety Standards for EV 222 8.3.3.1 NFPA Standards 222 8.3.3.2 NEC 625 223 8.3.3.3 NEC 626 223 8.4 Regulatory Framework 223 8.4.1 International Smart Charging Framework 223 8.4.2 Role of Agents in Smart Charging 226 8.4.3 Regulatory Challenges of Smart Charging and Impact on Global Energy Market 227 8.5 Conclusions and Discussion 229 References 230 9 EV Fast Charging Station Planning with Renewable Energy Sources: A Case Study of Durgapur System 233Dr. Ashish Kumar Bohre, Dr. Partha Sarathee Bhowmik and Dr. Baseem Khan 9.1 Introduction 234 9.2 Modeling of System 236 9.2.1 Solar PV 236 9.2.2 Battery Storage System (BSS) 237 9.2.3 System Converter 237 9.2.4 Diesel Generator 237 9.2.5 Load Profile 238 9.2.6 Electric Vehicle Fast Charging Station (EV-FCS) Characteristics and Performance 238 9.3 Case Study on Solar and Wind Data 240 9.4 Problem Description and Methodology 242 9.4.1 Cost of Energy (COE) 245 9.4.2 Annual Savings 245 9.4.3 Internal Rate of Return 245 9.4.4 Simple Payback 245 9.4.5 Pollutant Emissions 246 9.5 Results and Discussion 246 9.5.1 System Analysis without EV Fast Charging Stations (EV-FCS) 247 9.5.2 System Analysis with EV Fast Charging Stations (EV-FCS) 261 9.6 Conclusions 278 9.7 Acknowledgment 279 References 279 10 Game Theory Approach for Electric Vehicle Charge Management Considering User Behavior 283Lokesh Kumar Panwar Nomenclature 284 10.1 Introduction 285 10.2 Problem Formulation 288 10.3 Profit Maximization Game 292 10.4 Existence and Uniqueness of Nash Equilibrium of Profit Maximization Game 294 10.5 Results and Discussion 296 10.6 Conclusion 302 Appendix A 302 References 304 11 A Novel SMES Based Charging System for Electric Vehicles in Smart Grids 307Ubaid ur Rehman Nomenclature 307 List of Abbreviations 307 List of Variables 308 11.1 Introduction 308 11.2 System Modeling 310 11.3 Impact Analysis of SME’S on SG Performance while Accommodating EVs 314 11.4 Conclusion 318 References 319 12 A Novel Intelligent Route Planning Framework for Electric Vehicles with Consideration of Waiting Time in Delhi 321Lokesh Kumar Panwar 12.1 Introduction 322 12.2 Problem Description 324 12.2.1 Travelling Cost between Two Edges 325 12.2.2 Charging Cost at CS 325 12.2.3 Travelling Time Between Two Edges 325 12.2.4 Waiting Time at CS 326 12.3 Reinforcement Learning (RL) Based EV Navigation System 326 12.3.1 Objective Functions 327 12.3.2 Online Learning and Estimation Waiting Time 328 12.3.3 RL Based Navigation Method 329 12.4 Results and Discussion 331 12.4.1 Simulation Environment 331 12.4.2 Benchmark Cases 333 12.4.3 Distributed Learning Simulation 336 12.5 Conclusion 338 References 338 13 Smart Charging Management for Autonomous Vehicles: A Smart Solution for Smart Cities & Societies: COVID 19 341Nadia Adnan, Sharina Md Nordin, Malik Fawaz Saleh and Shouvik Sanyal 13.1 Introduction 342 13.2 Autonomous Vehicles: A Promise for Next-Generation Transportation Systems 345 13.3 How Autonomous Vehicle Standards Ensure Safety 346 13.4 Autonomous Cars and Smart Cities 347 13.5 Benefits of Autonomous Vehicles 348 13.6 Adoption Perspectives for Autonomous Vehicles: COVID 19 Situation 349 13.7 During the Fight of Pandemic Situation: How Autonomous Vehicles are Used 349 13.8 Smart Charging Management for Autonomous Vehicles 349 13.9 Challenges Involved in Self Driving Vehicles (V2X) Driving the Development of Autonomous Vehicles 352 13.10 Discussion 354 13.11 Conclusion 354 13.12 Acknowledgment 355 References 356 14 Electric Vehicle Integrated Virtual Power Plants: A Systematic Review 361Sanchari Deb, Sulabh Sachan, Mohammad Saad Alam and Samir M Shariff Abbreviations 361 14.1 Introduction 362 14.2 Overview of VPP 364 14.2.1 Definitions of VPP 364 14.2.2 Components of VPP 365 14.2.3 Classification of VPP 366 14.2.4 Benefits of VPP 366 14.3 Global Scenario 366 14.4 Framework for VPP 368 14.5 Research Initiatives 370 14.6 EV Integrated VPP 370 14.7 Conclusions 375 References 375 15 Optimal Location of EV Charging Stations by Modified Direct Search Algorithm 381Sanchari Deb, Sulabh Sachan and Toni Zhimomi Abbreviations 381 15.1 Introduction 382 15.1.1 Background 382 15.1.2 Existing Works 383 15.1.3 Contribution 383 15.2 Problem Formulation 383 15.3 Methodology 389 15.3.1 Division of Search Space 390 15.3.2 Arrangement of Elements of Search Space 391 15.3.3 Size Reduction of Search Space 392 15.3.4 Evaluation of Objective Function 393 15.4 Numerical Analysis 393 15.5 Conclusion 395 References 395 16 Recent Trends and Technologies of Electric Vehicles and Their Wireless Charging Methods: A Review 399D. R. Karthik, Mallikarjunareddy Bandi, Naveenkumar Marati, Balraj Vaithilingam and Kathirvel Karuppazhagi 16.1 Introduction 400 16.2 FAME Status 401 16.3 Basic Operation of WPT of EVs 403 16.4 Components of WPT System 405 16.5 Advancements in WPT and Electric Vehicle Technology 407 16.6 Electric Vehicle Status in India 408 16.7 Standards of Electrical Vehicles, Infrastructure, and WPT 411 16.8 Conclusion 416 References 416 17 Techno-Economic Issues of Grid Connected Large Photovoltaic Plants of Smart City Prayagraj to the EV Charging Station: A Case Study (A Case Study of 5 MW Photovoltaic Power Plant at Prayagraj) 419Satendra Kumar Singh Kushwaha, Satyprakash, Akhilesh Kumar Gupta, Akbar Ahmad, Bandi Mallikarjuna Reddy and Narendra Kumar Ch 17.1 Introduction 420 17.2 PV Generation Feasibility Study for Prayagraj for EV Charging Stations 422 17.3 Modeling and Challenges of Grid Integrated Photovoltaic System 425 17.4 Real-Time Challenges of 5MW Solar Plant at Naini, Prayagraj, India 429 17.5 Whole System Layout and Description 430 17.6 Cost Analysis of Complete PV System 431 17.7 Conclusion 433 References 433 Index 437
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The most comprehensive and up-to-date study of smart charging solutions for hybrid and electric vehicles for engineers, scientists, students, and other professionals. As our dependence on fossil fuels continues to wane all over the world, demand for dependable and economically feasible energy sources continues to grow. As environmental regulations become more stringent, energy production is relying more and more heavily on locally available renewable resources. Furthermore, fuel consumption and emissions are facilitating the transition to sustainable transportation. The market for electric vehicles (EVs) has been increasing steadily over the past few years throughout the world. With the increasing popularity of EVs, a competitive market between charging stations (CSS) to attract more EVs is expected. This outstanding new volume is a resource for engineers, researchers, and practitioners interested in getting acquainted with smart charging for electric vehicles technologies. It includes many chapters dealing with the state-of-the-art studies on EV smart charging along with charging infrastructure. Whether for the veteran engineer or student, this is a must-have volume for any library. Smart Charging Solutions for Hybrid and Electric Vehicles: Presents the state of the art of smart charging for hybrid and electric vehicles, from a technological point of view Focuses on optimization and prospective solutions for practical problems Covers the most important recent developmental technologies related to renewable energy, to keep the engineer up to date and well informed Includes economic considerations, such as business models and price structures Covers standards and regulatory frameworks for smart charging solutions
Les mer

Produktdetaljer

ISBN
9781119768951
Publisert
2022-03-04
Utgiver
Vendor
Wiley-Scrivener
Vekt
454 gr
Høyde
10 mm
Bredde
10 mm
Dybde
10 mm
Aldersnivå
P, 06
Språk
Product language
Engelsk
Format
Product format
Innbundet
Antall sider
464

Biographical note

Sulabh Sachan, PhD, is an assistant professor in the Department of Electrical Engineering, MJP Rohilkhand University Bareilly, India. He received his PhD from MNNIT Allahabad, India in 2018, his MTech in power systems from the Indian Institute of Technology, Roorkee, India, in 2013, and his BTech in electrical engineering from KNIT Sultanpur, in 2011. He is a member of IEEE and IEEE PES. His research interests include electric vehicle charging discharging and its integration issues in distribution networks.

Sanjeevikumar Padmanaban, PhD, is a faculty member with the Department of Energy Technology, Aalborg University, Esbjerg, Denmark and works with CTIF Global Capsule (CGC), Department of Business Development and Technology, Aarhus University, Denmark. He received his PhD in electrical engineering from the University of Bologna, Italy. He has almost ten years of teaching, research and industrial experience and is an associate editor on a number of international scientific refereed journals. He has published more than 300 research papers and has won numerous awards for his research and teaching.

Sanchari Deb, PhD, is a post-doctorate fellow at VTT Technical Research Center, Finland. She received her PhD from the Centre for Energy, Indian Institute of Technology, Guwahati, India in 2020. She holds a Bachelor of Engineering degree in electrical engineering from Assam Engineering College, Guwahati and Master of Engineering degree in power systems from Birla Institute of Technology, Mesra. She is a member of IEEE and IEEE PES, and her research interests are power systems, energy, electric vehicles, charging infrastructure, optimization, and evolutionary algorithms.