Artificial intelligent techniques for electric and hybrid electric vehicles / (Record no. 69318)
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000 -LEADER | |
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fixed length control field | 04905cam a2200541Ia 4500 |
001 - CONTROL NUMBER | |
control field | on1175916330 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20220711203612.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 200718s2020 nju o 001 0 eng d |
019 ## - | |
-- | 1175675481 |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9781119682035 |
-- | (electronic bk. : oBook) |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 1119682037 |
-- | (electronic bk. : oBook) |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9781119682011 |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 1119682010 |
029 1# - (OCLC) | |
OCLC library identifier | AU@ |
System control number | 000068069126 |
082 04 - CLASSIFICATION NUMBER | |
Call Number | 620.002856/3 |
245 00 - TITLE STATEMENT | |
Title | Artificial intelligent techniques for electric and hybrid electric vehicles / |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
Place of publication | Hoboken : |
Publisher | Scrivener Publishing, |
Year of publication | 2020. |
300 ## - PHYSICAL DESCRIPTION | |
Number of Pages | 1 online resource (278 p.) |
500 ## - GENERAL NOTE | |
Remark 1 | Description based upon print version of record. |
505 0# - FORMATTED CONTENTS NOTE | |
Remark 2 | Cover -- Title Page -- Copyright Page -- Contents -- Preface -- Chapter 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 -- 1.4.1 Components of BMS System -- 1.5 IoT-Based Battery Monitoring System -- References -- Chapter 2 A Noble Control Approach for Brushless Direct Current Motor Drive Using Artificial Intelligence for Optimum Operation of the E -- 2.1 Introduction -- 2.2 Introduction of Electric Vehicle |
505 8# - FORMATTED CONTENTS NOTE | |
Remark 2 | 2.2.1 Historical Background of Electric Vehicle -- 2.2.2 Advantages of Electric Vehicle -- 2.2.2.1 Environmental -- 2.2.2.2 Mechanical -- 2.2.2.3 Energy Efficiency -- 2.2.2.4 Cost of Charging Electric Vehicles -- 2.2.2.5 The Grid Stabilization -- 2.2.2.6 Range -- 2.2.2.7 Heating of EVs -- 2.2.3 Artificial Intelligence -- 2.2.4 Basics of Artificial Intelligence -- 2.2.5 Advantages of Artificial Intelligence in Electric Vehicle -- 2.3 Brushless DC Motor -- 2.4 Mathematical Representation Brushless DC Motor -- 2.5 Closed-Loop Model of BLDC Motor Drive -- 2.5.1 P-I Controller & I-P Controller |
505 8# - FORMATTED CONTENTS NOTE | |
Remark 2 | 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 -- 2.11.1 PID Controller-Based on Neuro Action -- 2.11.2 ANN-Based on PID Controller -- 2.12 Analysis of Different Speed Controllers -- 2.13 Conclusion -- References -- Chapter 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) -- 3.2.1 Electromagnet Actuator |
505 8# - FORMATTED CONTENTS NOTE | |
Remark 2 | 3.2.2 Rotor -- 3.2.3 Controller -- 3.2.3.1 Position Controller -- 3.2.3.2 Current Controller -- 3.2.4 Sensors -- 3.2.4.1 Position Sensor -- 3.2.4.2 Current Sensor -- 3.2.5 Power Amplifier -- 3.3 Active Magnetic Bearing in Electric Vehicles System -- 3.4 Control Strategies of Active Magnetic Bearing for Electric Vehicles System -- 3.4.1 Fuzzy Logic Controller (FLC) -- 3.4.1.1 Designing of Fuzzy Logic Controller (FLC) Using MATLAB -- 3.4.2 Artificial Neural Network (ANN) -- 3.4.2.1 Artificial Neural Network Using MATLAB -- 3.4.3 Particle Swarm Optimization (PSO) |
505 8# - FORMATTED CONTENTS NOTE | |
Remark 2 | 3.4.4 Particle Swarm Optimization (PSO) Algorithm -- 3.4.4.1 Implementation of Particle Swarm Optimization for Electric Vehicles System -- 3.5 Conclusion -- References -- Chapter 4 Small-Signal Modelling Analysis of Three-Phase Power Converters for EV Applications -- 4.1 Introduction -- 4.2 Overall System Modelling -- 4.2.1 PMSM Dynamic Model -- 4.2.2 VSI-Fed SPMSM Mathematical Model -- 4.3 Mathematical Analysis and Derivation of the Small-Signal Model -- 4.3.1 The Small-Signal Model of the System -- 4.3.2 Small-Signal Model Transfer Functions -- 4.3.3 Bode Diagram Verification -- 4.4 Conclusion |
590 ## - LOCAL NOTE (RLIN) | |
Local note | John Wiley and Sons |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
General subdivision | Engineering applications. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
General subdivision | Data processing. |
650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
General subdivision | Engineering applications. |
700 1# - AUTHOR 2 | |
Author 2 | Himavathi, S. |
700 1# - AUTHOR 2 | |
Author 2 | Holm-Nielsen, Jens Bo. |
700 1# - AUTHOR 2 | |
Author 2 | A., Chitra. |
700 1# - AUTHOR 2 | |
Author 2 | Padmanaban, S. |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | https://doi.org/10.1002/9781119682035 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | eBooks |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Artificial intelligence |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Electric vehicles |
650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Artificial intelligence |
-- | (OCoLC)fst01750450 |
994 ## - | |
-- | 92 |
-- | DG1 |
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