Artificial intelligent techniques for electric and hybrid electric vehicles / (Record no. 69318)

000 -LEADER
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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