Electric Vehicle Design Design Simulation and Applications 1st Edition by Krishan Arora, Suman Lata Tripathi, Himanshu Sharma – Ebook PDF Instant Download/Delivery: 139420437X, 9781394204373
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Product details:
ISBN 10: 139420437X
ISBN 13: 9781394204373
Author: Krishan Arora, Suman Lata Tripathi, Himanshu Sharma
This book deals with novel concepts related to fundamentals, design, and applications of conventional automobiles with internal combustion engines (ICEs), electric vehicles (EVs), hybrid electric vehicles (HEVs), and fuel cell vehicles (FCVs). It broadly covers vehicle performance, configuration, control strategy, design methodology, modeling, and simulation for different conventional and hybrid vehicles based on mathematical equations.
Fundamental and practical examples of conventional electrical machines, advanced electrical machines, battery energy sources, on-board charging and off-board charging techniques, and optimization methods are presented here. This book can be useful for students, researchers, and practitioners interested in different problems and challenges associated with electric vehicles.
Furthermore, in explaining the design methodology of each drive train, design examples are presented with simulation results.
Table of contents:
1 Development of Braking Systems in Fuel Cell Electric Vehicles
1.1 Introduction
1.2 Historical Background of Fuel Cell
1.3 ADVISOR
1.4 Why Hydrogen is Preferred
1.5 What is a Fuel Cell?
1.6 Working of Fuel Cells
1.7 Types of Fuel Cells
1.8 Block Diagram of Vehicle on MATLAB/Simulink
1.9 Braking System in Vehicle
1.10 Regenerative Braking System
1.11 Anti-Lock Braking System (ABS)
1.12 Conclusion
References
2 Design and Applications of Fuel Cells
2.1 Introduction
2.2 Types of Electric Vehicles
2.3 Design Equations of Fuel Cells
2.4 Designing of Fuel Cells
2.5 Types of Fuel Cells
2.6 Solid Oxide FCs (SOFCs)
2.7 Alkaline Fuel Cells (AFCs)
2.8 Molten Carbonate Fuel Cell (MCFC)
2.9 Phosphoric Acid Fuel Cells (PAFCs)
2.10 Polymer Electrolyte Membrane Fuel Cell (PEMFC)
2.11 Direct Methanol Fuel Cells (DMFCs)
2.12 Parameters Affecting the Performance of FCs
References
3 Smart Energy Management and Monitoring System for Electric Vehicles with IoT Integration
3.1 Introduction
3.2 The Control of Electric Vehicles Using IoT
3.3 IoT Management Issues with Electric Vehicles
3.4 Monitoring and Management Benefits of IoT
3.5 Predictive Maintenance System with Fault Alerts
3.6 IoT Management and Monitoring Issues with Electric Vehicles
3.7 Microcontroller
3.8 IoT-Based Systems for Battery Management and Monitoring
3.9 Design of Battery Charge Control and Monitoring System
3.10 Results and Discussion
3.11 Conclusions
3.12 Future Scope of IoT in Electric Vehicles
References
4 A Review of Electric Vehicles: Technologies and Challenges
4.1 Introduction
4.2 Electric Motors
4.3 Power Electronic Converters
4.4 Battery in Electric Vehicles
4.5 Conclusion
References
5 Electric Vehicle and Design Using MATLAB
List of Abbreviations
5.1 Introduction
5.2 Motivation
5.3 Basic Fundamentals of EVs
5.4 Why Electric Vehicles?
5.5 Comparison Between ICV and EV
5.6 Classification of EVs
5.7 Design and Structure of EV
5.8 Mathematical Model of an Electric Vehicle
5.9 Control Strategy of EVs
5.10 Design Methodology for Electric Vehicles (EVs)
5.11 Latest Emerging Technology in EV
5.12 Performance Valuation of BLDC Motor and Induction Motor for Electric Vehicle Propulsion Application
5.13 Conclusion
References
6 Model Order Reduction of Battery for Smart Battery Management System
6.1 Introduction
6.2 Problem Formulation
6.3 Modeling of Battery
6.4 Methodology for Model Order Reduction
6.5 Result and Discussion
6.6 Conclusion
Appendix
References
7 Power Electronic Converters for Electric Vehicle Application
7.1 Introduction
7.2 Types of Electrical Vehicle and Role of Power Electronic Converter
7.3 Recent Development in Power Electronic Converter
7.4 Power Electronic Converters in Electric, Hybrid, and Fuel Cell Vehicles
7.5 Challenges in Power Electronic Vehicular System
7.6 Conclusion
References
8 Integrating Electric Vehicles Into Smart Grids Through Data Analytics: Challenges and Opportunities
8.1 Introduction
8.2 Smart Grid and Electric Vehicle
8.3 Impact of Electric Vehicle–Based Data Analytics for Smart Grids
8.4 Importance of Resource Availability, Price, and Load for EV
8.5 Electric-Tariff Design Based on Impact of Electric Vehicle Usage
8.6 Data Analytics for Electric Vehicles
8.7 Machine Learning for EV Analytics
8.8 What are the Different ML Algorithms Used by Authors for EV Analytics?
8.9 Importance of Data Analysis in the EV Industry Using an Open Source Data
8.10 Description of the Dataset
8.11 Features and Factors That Influence the Prices of EVs
8.12 Price Prediction of EVs
8.13 Random Forest–Based Price Prediction of Electric Vehicles
8.14 Machine Learning Model
8.15 Electric Vehicle Usage in India
8.16 The Challenges of Adopting EV in India
8.17 How to Increase Renewable Energy in India to Meet EV Demand
Conclusion
References
9 Hybrid Electrical Vehicle Designs
9.1 Introduction
9.2 Plug-In Hybrid Electric Vehicles
9.3 Classification of HEVs
9.4 Fuel Cell Electric Vehicles (FCEVs)
9.5 Hybrid Electric Vehicle System Design and Analysis
9.6 Control Strategy in Series Hybrid Drivetrain Configuration
9.7 Design of Fuel Cell Electric Vehicles with Fuel Economy
9.8 Conclusion
References
10 EV Battery Charging System
10.1 Introduction
10.2 Electric Vehicle Charging Infrastructure
10.3 Power Electronics Converters Used for Charging System
10.4 Control Strategies of EV Charging System
10.5 Various Modes of Charging System
10.6 Real-Time Challenges of EV Charging Infrastructure
Conclusion
References
11 Optimization Algorithms and Computing Techniques for Electric Vehicles: Advancements in Computing and Algorithms
11.1 Introduction
11.2 Fundamental Optimization Techniques
11.3 Problem Formulation of Optimal Solution
11.4 Optimization Techniques [11]
11.5 Electric Vehicle
11.6 Challenges in EV Implementation
11.7 Optimization Techniques for Electric Vehicles
11.8 Conclusion
References
12 Economic Load Dispatch Solutions at Small, Medium, and Large Scales Utilizing Chaotic Spotted Hyena Optimization
12.1 Introduction
12.2 Unit Commitment and Economic Dispatch Process
12.3 Optimization in Power System
12.4 Hybrid Optimization Algorithm
12.5 Chaotic Spotted Hyena Optimization Technique
12.6 Economic Load Dispatch Problem
12.7 Power Balance Equality Constraints
12.8 Generator Power Limit Inequality Constraints
12.9 Test Systems Results and Discussion
12.10 Conclusion
References
13 Simulation of Automatic Search of Charging Station for Electric Bikes
13.1 Introduction
13.2 Related Works
13.3 Methodology
13.4 Load Balancing of Smart Grid
13.5 Electric Bike Supply Equipment (EBSE) Algorithm
13.6 Simulation
13.7 Performance Metrics
13.8 Method and Existing Method
Conclusion and Future Work
References
14 Self-Charging Electrical Vehicle Design and Analysis with MATLAB
14.1 Introduction
14.2 Natural Energy Sources for Self-Charging Electrical Vehicles
14.3 Arduino-Based Control Systems in Electric Vehicles
14.4 MATLAB-Based Simulation and Modeling for Self-Charging Electric Vehicles
14.5 Electric Motor Model
14.6 Results for Vehicle Performance
14.7 Power Electronics Model
14.8 Energy Management System
14.9 Conclusion
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Tags: Krishan Arora, Suman Lata Tripathi, Himanshu Sharma, Electric


