Aim and Scope xv
Preface xvii
Acknowledgement xxi
1 Sustainable Mobility: Clean Energy Integration with Electric Vehicle Technology 1
Pranjal Barman, Lachit Dutta, Sushanta Bordoloi, Manash Pratim Sarma, Anamika Kalita, Swapna Bharali and Brian Azzopardi
1.1 Introduction 2
1.2 Transportation and Carbon Emission 3
1.3 Transportation Electrification 4
1.4 Electric Vehicle Integration with Renewable Sources 9
1.5 Solar Energy 12
1.6 Wind Energy 13
1.7 Integration with the Grid 15
1.8 State-of-the-Art Methods 17
1.9 Opportunities and Challenges 22
1.10 Conclusion 22
Acknowledgement 23
References 23
2 Sustainable Mobility Policies in Developed and Developing Countries 29
Reetu Gour and Nikki Baliyan
2.1 Introduction 29
2.2 Pollution by Air and Effect of Greenhouse Gases 31
2.3 Promotion of Cycling and Walking 32
2.4 Sustainable Trade and Global Governance 34
2.4.1 Socioeconomic Impacts 35
2.4.2 Technology Aspects 36
2.4.3 Role of Smart Connectivity in Sustainable Mobility 36
2.5 Discussion 37
2.6 Conclusion 38
References 39
3 Transitions from IC Engine to EV and HEV: Current Status of EV in India 45
Puneet Kumar and Apurva Goyal
3.1 Introduction 46
3.2 Changing Electric Vehicles Trend 47
3.3 Case Study: Maruti Suzuki and EV Market 49
3.4 Numerous Downsides to Electric Cars 50
3.4.1 Ultra Expensive 50
3.4.2 Transport Not a Considerable Contributor to Emissions 51
3.4.3 Batteries as the Major Emitter 52
3.4.4 Need of Societal Change 52
3.5 Zero Emissions is a Myth 52
3.6 Prolonged Charging Time 52
3.7 Carbon Footprints 53
3.8 Degrading Battery Performance from Fast Charging 53
3.9 Underdeveloped Charging Infrastructure 54
3.10 Impractical for Inner-City Inhabitants and Lack of Resale Value 54
3.11 Reasons Behind Slow Adoption of Electric Vehicles in India 56
3.12 Conclusion 57
References 57
4 Alternative Source Systems of In-Vehicle Electricity Production 61
Dinesh Kumar Patel, Sachin Kumar, Vipin Kumar Sharma, Hari Om Sharma and Arbind Prasad
4.1 Introduction 62
4.2 Electric Vehicles (EVs) 63
4.3 Passenger Electric Vehicle 64
4.3.1 Plug-In Battery Electric Vehicle (PBEV) 65
4.3.2 Plug-In Hybrid Electric Vehicle (PHEV) 65
4.3.3 Hybrid Electric Vehicles (HEV) 65
4.3.4 Commercial Electric Vehicle 66
4.3.4.1 Plug-In Battery Electric Vehicles 66
4.3.4.2 Plug-In Hybrid Electric Vehicles 67
4.3.4.3 Hydraulic Hybrid Electric Vehicle 68
4.4 Integration of Different Renewable Energy Resources with Power System of In-Vehicle Electricity Production 68
4.4.1 Fuel Cell Electric Vehicles (FCEVs) 68
4.4.2 Electric Vehicle Integration with Wind Energy 68
4.4.3 Electric Vehicle Integration with Solar Energy 69
4.4.4 Distribution Grid Management with Electrical Network 70
4.5 Factors Affecting Adoption of Alternative Fuel Vehicles 71
4.6 Conclusion on Market Penetration of Alternative Fuel Vehicles 71
References 72
5 Autonomous Navigation of Unmanned Aerial Vehicle Using Reinforcement Learning 79
Payal Bansal, Jyotsna Joshi, Surender Hans and Ashwani Kumar
5.1 Introduction 80
5.2 Literature Review 80
5.3 Technology Used 81
5.3.1 System Architecture Overview 81
5.3.2 Reinforcement Learning and Control 82
5.3.3 Elements of Reinforcement Learning 83
5.4 Markov Decision Process (MDP) 83
5.4.1 Value Function and Action-Value Function 84
5.4.2 Q-Learning Algorithm 85
5.4.3 SARSA Algorithm 88
5.4.4 Robot Operating System (ROS) 89
5.5 Implementation: Flow of the Project Flow 90
5.6 Controller Design of Unmanned Aerial Vehicle (UAV) 92
5.6.1 Controller Design 93
5.6.2 Training Procedure of UAV 94
5.7 Results and Discussion 95
5.7.1 Experimental Results 96
5.8 Conclusion and Future Scope 98
References 99
6 IoT-Based Automatic Vehicle Accident & Rash Driving Alert System 105
Payal Bansal
6.1 Introduction 106
6.2 Problem and Necessity 107
6.3 Need for the System 108
6.3.1 IoT Architecture 108
6.3.2 Sonar Sensor 111
6.3.3 Data Processing and Analysis 113
6.4 User Interface and Reporting 115
6.4.1 Results and Impact 116
6.4.2 Challenges and Limitations 117
6.4.3 Future Enhancements 119
6.4.4 Architectural Design of the Work 120
6.6 Implementation: Tools for Controlling & Processing 123
6.7 Hardware Setup 124
6.7.1 Result 126
6.7.2 Conclusion 128
6.8 Applications 128
Bibliography 129
7 Mobile Edge Communication, Computing and Caching (MEC3) in Vehicle Communication 131
Payal Bansal
7.1 Introduction to MEC3 in Vehicle Communication 132
7.2 What is Mobile EDGE? 132
7.2.1 Advantages of Mobile EDGE Computing 133
7.3 Mobile Edge Communication (MEC) 133
7.3.1 How We Can Use MEC 134
7.3.2 Opportunities in Mobile Edge Computing 135
7.3.3 Challenges of Mobile Edge Computing 136
7.3.4 Mobile Edge Computing Uses 136
7.3.5 Multi-Access vs. Mobile Edge Computing 137
7.3.6 Mobile Edge Computing Importance 138
7.4 Mobile Edge Caching 139
7.4.1 The Architecture of Mobile Edge Caching 139
7.5 Technology Description 141
7.5.1 Advantages and Disadvantages of MEC 3 143
7.6 Applications of MEC 3 144
7.7 Conclusion 145
Bibliography 145
8 IoT-Based Automatic Vehicle Tracking and Accident Alert System 149
Priyanshu Gupta, Parth Tripathi, Pallavie Tyagi and Sanjay Kumar Singh
8.1 Introduction 150
8.2 Literature Review 151
8.3 Methodology 152
8.4 Programming Code 154
8.5 Results and Discussion 156
8.6 Conclusion and Future Scope 157
Bibliography 157
9 Interfacing of GPS and GSM with the Help of NodeMCU for Vehicle Monitoring and Tracking 159
Sandesh Singh, Ajay Suri, Vaibhav Patel, Ujjwal Shukla and Harshita Sisodia
9.1 Introduction 160
9.2 Problem Statement 161
9.3 Literature Review 162
9.4 Monitoring and Tracking of Vehicles 163
9.5 Result and Discussion 168
9.6 Conclusion 168
References 171
10 A Comprehensive Analysis of Cell Balancing in BMS for Electric Vehicle 173
Rahul Sarker, Subir Datta, Ksh. Robert Singh and Apurba Kr. Das
10.1 Introduction 174
10.2 Cell Balancing Methods 175
10.2.1 Passive Cell Balancing 175
10.2.1.1 Proposed Block Diagram of Passive Cell Balancing 176
10.2.2 Active Cell Balancing 178
10.3 Proposed Topology 181
10.3.1 Working Modes for Two Cells 182
10.3.2 Algorithm for Two Cells Balancing 183
10.3.2.1 Block Diagram of Proposed Active Cell Balancing for Two Cell 184
10.3.3 SOC-Voltage-Based Inductive Buck Boost Active Cell Balancing 185
10.4 Conclusion 190
References 190
11 Analyzing and Testing of Fuel Cell Hybrid Electric Vehicles 193
Shrey Agrawal, Raghav Gupta and Manoj Sindhwani
11.1 Introduction 194
11.2 Battery Management System 195
11.2.1 Classification 196
11.2.2 Challenges of Fuel Cell Hybrid Electric Vehicles 199
11.3 System Setup 199
11.3.1 Block Diagram 199
11.3.2 Components 199
11.3.3 System Methodology 201
11.4 Simulations 202
11.4.1 Efficiency and Continuous Torque Capability 202
11.4.2 National Renewable Energy Laboratory (NREL) 202
11.4.3 Output Graphs 203
11.5 Conclusion 205
References 206
12 Cyberattacks, Threats and Challenges of Cybersecurity: An Outline 207
Tanishq Soni, Deepali Gupta, Ramneet Kaur, Avinash Sharma and Gifty Gupta
12.1 Introduction 208
12.2 Background Work 209
12.3 Security Properties and CIA Triad 212
12.3.1 Confidentiality 212
12.3.2 Integrity 212
12.3.3 Availability 213
12.4 Types of Cyber Threats 213
12.4.1 Cybercrime 213
12.4.2 Cyber Terrorism 213
12.4.3 Cyber Warfare 214
12.5 Types of Cyberattacks 214
12.5.1 Denial of Service 214
12.5.2 Trojan Horse 214
12.5.3 Malware 215
12.5.4 SQL Injection Attack 215
12.5.5 Man-in-the-Middle 216
12.5.6 Reconnaissance Attack 216
12.6 Challenges in Cybersecurity 216
12.6.1 Cybersecurity Challenges in Education 216
12.6.2 Cybersecurity Challenges in Smart Grid 216
12.6.3 Cybersecurity Challenges in IoT and Cloud Computing 217
12.6.4 Cybersecurity Challenges in Connected Home Ecosystem 217
12.7 Bibliometric Analysis and Discussion 217
12.8 Conclusion 220
References 220
13 Opportunities and Challenges of Data-Driven Cybersecurity for Smart Cities: Blockchain-Driven Approach 223
Tanishq Soni, Ramneet Kaur, Deepali Gupta, Avinash Sharma and Gifty Gupta
13.1 Introduction 224
13.2 Background Work 227
13.3 Attacks on the Layers of IoT-Enabled Smart City 229
13.4 Issues and Challenges in Smart Cities 231
13.5 Blockchain and its Types 232
13.6 Smart City Issues with Blockchain 233
13.7 Conclusion 234
References 235
14 On Renewable Energy Source Selection Problem Using T-Spherical Fuzzy Soft Dombi Aggregation Operators 237
Mohit Pal, Himanshu Dhumras, Gaurav Garg and Varun Shukla
14.1 Introduction 238
14.2 Preliminaries 240
14.3 T-Spherical Fuzzy Soft Dombi Aggregation Operators 241
14.4 Application of T-Spherical Fuzzy Soft Dombi Aggregation Operators in Renewable Energy Source Selection 246
14.5 Conclusion and Scope for Future Work 251
References 251
15 Detection of Weather with Hypothesis Testing Performed Through VGG19 Model Utilizing Adam Optimizer 255
Kanwarpartap Singh Gill, Avinash Sharma, Vatsala Anand and Rupesh Gupta
15.1 Introduction 256
15.2 Literature 258
15.3 Input Dataset 261
15.4 Data Validation 262
15.5 Weather Classification Using VGG19 Model 263
15.6 Results 264
15.6.1 Weather Classification Using VGG19 Model on Adam Optimizer 264
15.6.2 Classification Output of Dataset Parameters After Model Optimization 265
15.6.3 Confusion Matrix Comparison of Dataset Parameters 266
15.7 Conclusion 267
References 268
16 Enhanced Ride-Through Capability of a Hybrid Microgrid Under Symmetric and Asymmetric Faults 271
Asis Kumar Mallick, Ullash Kumar Rout, Ajit Kumar Barisal and P. K. Satpathy
16.1 Introduction 272
16.2 Design of the Hybrid Microgrid 272
16.2.1 AC Bus Faults - LG, LL, LLG, LLLG, LLL 273
16.2.2 dc Bus Faults: Pole to Ground, Pole to Ground and Pole to Pole Fault 273
16.3 HMG Inverter Control 274
16.3.1 Problem Formulation 274
16.4 Grid-Tied Inverter Control 277
16.5 Fault Analysis 278
16.5.1 LG Fault (A-G) 280
16.6 LLG Fault (A-B-G) 282
16.7 LL Fault (A-B) 283
16.8 LLL and LLLG Faults 284
16.9 dc Bus Fault 287
16.10 Conclusion 288
Acknowledgements 288
References 288
About the Editors 291
Index 293
