Artificial Intelligent Techniques for Electric and Hybrid Electric Vehicles

Artificial Intelligent Techniques for Electric and Hybrid Electric Vehicles

by Chitra A., S. Padmanaban, Jens Bo Holm-Nielsen, S. Himavathi
Released July 2020
Publisher(s): Wiley-Scrivener
ISBN: 9781119681908

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Book description

Electric vehicles/hybrid electric vehicles (EV/HEV) commercialization is still a challenge in industries in terms of performance and cost.  The performance along with cost reduction are two tradeoffs which need to be researched to arrive at an optimal solution. This book focuses on the convergence of various technologies involved in EV/HEV.

The book brings together the research that is being carried out in the field of EV/HEV whose leading role is by optimization techniques with artificial intelligence (AI). Other featured research includes green drive schemes which involve the possible renewable energy sources integration to develop eco-friendly green vehicles, as well as Internet of Things (IoT)-based techniques for EV/HEVs. Electric vehicle research involves multi-disciplinary expertise from electrical, electronics, mechanical engineering and computer science. Consequently, this book serves as a point of convergence wherein all these domains are addressed and merged and will serve as a potential resource for industrialists and researchers working in the domain of electric vehicles.     

Table of contents

  1. Cover
  2. Preface
  3. 1 IoT-Based Battery Management System for Hybrid Electric Vehicle
    1. 1.1 Introduction
    2. 1.2 Battery Configurations
    3. 1.3 Types of Batteries for HEV and EV
    4. 1.4 Functional Blocks of BMS
    5. 1.5 IoT-Based Battery Monitoring System
    6. References
  4. 2 A Noble Control Approach for Brushless Direct Current Motor Drive Using Artificial Intelligence for Optimum Operation of the Electric Vehicle
    1. 2.1 Introduction
    2. 2.2 Introduction of Electric Vehicle
    3. 2.3 Brushless DC Motor
    4. 2.4 Mathematical Representation Brushless DC Motor
    5. 2.5 Closed-Loop Model of BLDC Motor Drive
    6. 2.6 PID Controller
    7. 2.7 Fuzzy Control
    8. 2.8 Auto-Tuning Type Fuzzy PID Controller
    9. 2.9 Genetic Algorithm
    10. 2.10 Artificial Neural Network-Based Controller
    11. 2.11 BLDC Motor Speed Controller With ANN-Based PID Controller
    12. 2.12 Analysis of Different Speed Controllers
    13. 2.13 Conclusion
    14. References
  5. 3 Optimization Techniques Used in Active Magnetic Bearing System for Electric Vehicles
    1. 3.1 Introduction
    2. 3.2 Basic Components of an Active Magnetic Bearing (AMB)
    3. 3.3 Active Magnetic Bearing in Electric Vehicles System
    4. 3.4 Control Strategies of Active Magnetic Bearing for Electric Vehicles System
    5. 3.5 Conclusion
    6. References
  6. 4 Small-Signal Modelling Analysis of Three-Phase Power Converters for EV Applications
    1. 4.1 Introduction
    2. 4.2 Overall System Modelling
    3. 4.3 Mathematical Analysis and Derivation of the Small-Signal Model
    4. 4.4 Conclusion
    5. References
  7. 5 Energy Management of Hybrid Energy Storage System in PHEV With Various Driving Mode
    1. 5.1 Introduction
    2. 5.2 Problem Description and Formulation
    3. 5.3 Modeling of HESS
    4. 5.4 Results and Discussion
    5. 5.5 Conclusion
    6. References
  8. 6 Reliability Approach for the Power Semiconductor Devices in EV Applications
    1. 6.1 Introduction
    2. 6.2 Conventional Methods for Prediction of Reliability for Power Converters
    3. 6.3 Calculation Process of the Electronic Component
    4. 6.4 Reliability Prediction for MOSFETs
    5. 6.5 Example: Reliability Prediction for Power Semiconductor Device
    6. 6.6 Example: Reliability Prediction for Resistor
    7. 6.7 Conclusions
    8. References
  9. 7 Modeling, Simulation and Analysis of Drive Cycles for PMSM-Based HEV With Optimal Battery Type
    1. 7.1 Introduction
    2. 7.2 Modeling of Hybrid Electric Vehicle
    3. 7.3 Series—Parallel Hybrid Architecture
    4. 7.4 Analysis With Different Drive Cycles
    5. 7.5 Cruising Drive Cycle
    6. 7.6 Deceleration Drive Cycle
    7. 7.7 Analysis of Battery Types
    8. 7.8 Conclusion
    9. References
  10. 8 Modified Firefly-Based Maximum Power Point Tracking Algorithm for PV Systems Under Partial Shading Conditions
    1. 8.1 Introduction
    2. 8.2 System Block Diagram Specifications
    3. 8.3 Photovoltaic System Modeling
    4. 8.4 Boost Converter Design
    5. 8.5 Incremental Conductance Algorithm
    6. 8.6 Under Partial Shading Conditions
    7. 8.7 Firefly Algorithm
    8. 8.8 Implementation Procedure
    9. 8.9 Modified Firefly Logic
    10. 8.10 Results and Discussions
    11. 8.11 Conclusion
    12. References
  11. 9 Induction Motor Control Schemes for Hybrid Electric Vehicles/Electric Vehicles
    1. 9.1 Introduction
    2. 9.2 Control Schemes of IM
    3. 9.3 Vector Control
    4. 9.4 Modeling of Induction Machine
    5. 9.5 Controller Design
    6. 9.6 Simulations and Results
    7. 9.7 Conclusions
    8. References
  12. 10 Intelligent Hybrid Battery Management System for Electric Vehicle
    1. 10.1 Introduction
    2. 10.2 Energy Storage System (ESS)
    3. 10.3 Battery Management System
    4. 10.4 Intelligent Battery Management System
    5. 10.5 Conclusion
    6. References
  13. 11 A Comprehensive Study on Various Topologies of Permanent Magnet Motor Drives for Electric Vehicles Application
    1. 11.1 Introduction
    2. 11.2 Proposed Design Considerations of PMSM for Electric Vehicle
    3. 11.3 Impact of Digital Controllers
    4. 11.4 Electric Vehicles Smart Infrastructure
    5. 11.5 Conclusion
    6. References
  14. 12 A New Approach for Flux Computation Using Intelligent Technique for Direct Flux Oriented Control of Asynchronous Motor
    1. 12.1 Introduction
    2. 12.2 Direct Field-Oriented Control of IM Drive
    3. 12.3 Conventional Flux Estimator
    4. 12.4 Rotor Flux Estimator Using CFBP-NN
    5. 12.5 Comparison of Proposed CFBP-NN With Existing CFBP-NN for Flux Estimation
    6. 12.6 Performance Study of Proposed CFBP-NN Using MATLAB/SIMULINK
    7. 12.7 Practical Implementation Aspects of CFBP-NN-Based Flux Estimator
    8. 12.8 Conclusion
    9. References
  15. 13 A Review on Isolated DC–DC Converters Used in Renewable Power Generation Applications
    1. 13.1 Introduction
    2. 13.2 Isolated DC–DC Converter for Electric Vehicle Applications
    3. 13.4 Conclusion
    4. References
  16. 14 Basics of Vector Control of Asynchronous Induction Motor and Introduction to Fuzzy Controller
    1. 14.1 Introduction
    2. 14.2 Dynamics of Separately Excited DC Machine
    3. 14.3 Clarke and Park Transforms
    4. 14.4 Model Explanation
    5. 14.5 Motor Parameters
    6. 14.6 PI Regulators Tuning
    7. 14.7 Future Scope to Include Fuzzy Control in Place of PI Controller
    8. 14.8 Conclusion
    9. References
  17. Index
  18. End User License Agreement

Product information

  • Title: Artificial Intelligent Techniques for Electric and Hybrid Electric Vehicles
  • Author(s): Chitra A., S. Padmanaban, Jens Bo Holm-Nielsen, S. Himavathi
  • Release date: July 2020
  • Publisher(s): Wiley-Scrivener
  • ISBN: 9781119681908