Description
Drive the future of sustainable mobility with this essential book, which offers a comprehensive, multi-disciplinary guide to the challenges and AI-driven innovations for developing smart, efficient electric vehicle charging solutions.
The shift to electric vehicles supports the global commitment to reduce greenhouse gas emissions and decrease reliance on fossil fuels. However, crucial charging infrastructure is a key component for encouraging the adoption of electric vehicles. As a developing country, India is experiencing rapid urbanization, leading to higher vehicle ownership rates. With more vehicles on the road, the demand for charging infrastructure is growing, making smart chargers essential to efficiently manage and distribute electricity for electric vehicles. This book offers a comprehensive look at the challenges and innovations for electric vehicle charging solutions to expedite the transition to net-zero emissions. It focuses on the convergence of various technologies, including AI and deep and machine learning for smart charging systems. Through a multi-disciplinary approach and real-world case studies, this book will serve as an essential resource for innovators looking towards the future of green transportation.
Table of Contents
Preface xv
1 Towards Sustainable Mobility: An Autonomous Electric Vehicle Charging Station Powered by Multifaceted Renewable Energy Sources 1
K. Kathiravan and P. N. Rajnarayanan
1.1 Introduction 2
1.2 Description of the Proposed Charging Station 4
1.3 Design and Analysis of the System 5
1.4 System Design Calculations 11
1.5 Result Analysis 15
1.6 Conclusion and Future Outlook 25
2 Innovating EV Charging Infrastructure: A Hybrid Energy Storage System Approach for Solar Powered-Based DC Microgrid 29
Sandeep S. D., Satyajit Mohanty and Shashi Bhushan
2.1 Introduction 29
2.2 System Architecture 30
2.3 Power Management System 33
2.4 Results and Discussion 36
2.5 Conclusion 39
3 Design of Intermediate Charging Facilitated Port Configuration of Charging Station with Consideration of Reliability and Cost 41
K. Vaishali and D. Rama Prabha
3.1 Introduction 42
3.2 Methodology for Estimating the Reliability Probability of Charging Ports 43
3.3 Introduced Pattern Identical and Non-Identical Configuration 46
3.4 Results and Discussions 49
3.5 Conclusion 54
4 AI-Based Smart Charging Infrastructures: Revolutionizing Electric Vehicle Integration 57
V. Bagyaveereswaran, S.L. Arun, M. Manimozhi and B. Jaganatha Pandian
4.1 Introduction 58
4.2 Fundamentals of Smart Charging 59
4.3 Role of AI in Smart Charging 64
4.4 Components of AI-Based Smart Charging Systems 74
4.5 Challenges and Future Directions 83
5 EV Smart Charging Using RES—Challenges 91
Sowmya Ramachandradurai, Joylin Mary J. and D.F. Jingle Jabha
5.1 Introduction 92
5.2 System Description 92
5.3 Results and Discussion 98
5.4 Conclusion 99
6 Green Energy-Based Active Grid Optimization Using Deep Learning for EV Charging Infrastructure 105
D. Shruthi, R. Raja Singh, S. L. Arun and R. Rengaraj
6.1 Introduction 106
6.2 Active Grid and Edge Computing 107
6.3 Modeling of Standalone Hybrid System 109
6.4 Deep Learning and Its Implementation 115
6.5 Micro-Grid and Control Mechanism 123
6.6 Results and Discussion 130
6.7 Conclusion 134
7 Bearing Fault Diagnosis in Permanent Magnet Synchronous Motor Using Deep Neural Network 137
Geetha G., Shanthini C., Geethanjali P. and Yokkeshwaran K.
7.1 Introduction 138
7.2 Methodology 141
7.3 Results and Discussion 148
7.4 Conclusion 152
8 Enhancing Efficiency in Bidirectional CLLC Resonant Converters: A Hybrid Control Approach 157
Aryan Chaturvedi, M. Rajalakshmi and Razia Sultana W.
8.1 Introduction 158
8.2 Bidirectional CLLC Resonant Converter 159
8.3 Working by Controlling Conversion of Frequency 160
8.4 How the Inductance Factor (k) Affects Voltage Gain (M) 162
8.5 How the Quality Factor (Q) Influences Voltage Gain (M) 163
8.6 Understanding Frequency-Conversion Control 164
8.7 Combining Frequency Conversion and Phase Shifting with a Hybrid Control Strategy 165
8.8 Simulation Results and Discussion 168
8.9 Conclusion 173
9 IoT-Based Smart Charging Systems 175
Tanmay Sharma, Pramatha S. Vasishtha and Razia Sultana W.
9.1 Introduction 176
9.2 Remote Monitoring and Telematics 176
9.3 Infrastructure Connectivity for Charging 177
9.4 Autonomous Driving and Advanced Driver Assistance Systems (ADAS) 178
9.5 Logistics and Fleet Management 178
9.6 Sustainability and Energy Management 179
9.7 Services and User Experience 180
9.8 Algorithms for Shortest Path Finding 180
9.9 Advantages 192
9.10 Conclusion 193
10 Embedded Control of Power Converters in E-Mobility 195
Yeddula Pedda Obulesu and Pallamkuppam Vinodh Kumar
10.1 Introduction 196
10.2 Evolution of Digital Control in Power Converters 199
10.3 Embedded Systems and Digital Control 202
10.4 Tools and Technologies for Digital Control Systems 202
10.5 Implementation of Embedded Digital Control Based on DSPs 203
10.6 Key Components in Embedded Digital Controllers 205
10.7 Signal Generation for Power Converter Devices 207
10.8 Field Programmable Gate Arrays (FPGAs) 208
10.9 Code Composer Studio and JTAG 212
10.10 Software Development Environment (SDE): Compiler, Linker, Assembler, and Downloader 219
10.11 STM-Based Embedded Controllers 226
10.12 Main Traction Inverter 227
10.13 On-Board Charger 228
10.14 Battery Management System (BMS) 229
11 Solar Piezo Hybrid Power Charging System 231
Vedanth S., Varun Baalaji S., Shairahul Gautam S., Sharan Vikash, Ashwini K. and R. Resmi
11.1 Introduction 231
11.2 Methodology 233
11.3 Operating Modes 236
11.4 Result and Discussion 237
11.5 Conclusion 240
12 EV Power Train Performance with DC Motor 243
Nithya Chandran and R. Resmi
12.1 Introduction 243
12.2 Methodology 244
12.3 Results and Discussion 249
12.4 Conclusion 251
13 RC Vehicle for Delivery 255
Vemulapati Dhanunjaya Reddy, Mallireddy Jayanthi Reddy, Manoj Kumar S., R. Resmi and Y. N. V. Ganesh
13.1 Introduction 256
13.2 Literature Review 257
13.3 Methodology 259
13.4 Result and Discussions 262
13.5 Conclusion 263
14 Aerodynamic Drag Reduction in Heavy Vehicles 267
Amutha Prabha N., Abhishek Gudipalli, Dyuti Ranjan Acharya, Indragandhi V. and Manee Sangaran Diagarajan
14.1 Introduction 267
14.2 Literature Survey 268
14.3 Methodology 269
14.4 Results and Discussion 273
14.5 Analysis Comparison 277
14.6 Conclusion 279
15 Review of Optimization-Based Sensor Fault Detection for Lithium-Ion Batteries in Electric Vehicles 281
Mohana Devi S. and V. Bagyaveereswaran
15.1 Introduction 282
15.2 Gestalt of Battery Sensors 284
15.3 Utilization of Battery Sensors in Electric Vehicles 287
15.4 Optimization in Sensor Fault Detection 293
15.5 Advantages and Category of Metaheuristic Algorithm 297
15.6 Result and Discussion 305
15.7 Conclusion 306
16 Development of a Hybrid Foot‑Stamping Bicycle with Dynamic Electric Support: A Sustainable Alternative to Traditional Pedal and Electric Bicycles 313
Sumant Shyam, Jahnavi Gayatri D., Anushka and Abhishek Gudpalli
16.1 Introduction 314
16.2 Background and Motivation 314
16.3 Study Objectives 322
16.4 Scope of Study 326
16.5 Conclusion 329
17 A Novel Multilevel Inverter with Reduced Switch for Electric Vehicle Applications 337
Vijaya Sambhavi Y. and Vijayapriya R.
17.1 Introduction 337
17.2 Proposed MLI 340
17.3 Control Strategy and Simulation Outcomes 342
17.4 Conclusion 346
References 347
Index 349
