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