{"product_id":"artificial-intelligent-techniques-for-electric-and-hybrid-electric-vehicles-9781119681908","title":"Artificial Intelligent Techniques for Electric","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003ePreface xiii\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 IoT-Based Battery Management System for Hybrid Electric Vehicle 1\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eP. Sivaraman and C. Sharmeela\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e1.1 Introduction 1\u003c\/p\u003e \u003cp\u003e1.2 Battery Configurations 3\u003c\/p\u003e \u003cp\u003e1.3 Types of Batteries for HEV and EV 5\u003c\/p\u003e \u003cp\u003e1.4 Functional Blocks of BMS 6\u003c\/p\u003e \u003cp\u003e1.4.1 Components of BMS System 7\u003c\/p\u003e \u003cp\u003e1.5 IoT-Based Battery Monitoring System 11\u003c\/p\u003e \u003cp\u003eReferences 14\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 A Noble Control Approach for Brushless Direct Current Motor Drive Using Artificial Intelligence for Optimum Operation of the Electric Vehicle 17\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eUpama Das, Pabitra Kumar Biswas and Chiranjit Sain\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e2.1 Introduction 18\u003c\/p\u003e \u003cp\u003e2.2 Introduction of Electric Vehicle 19\u003c\/p\u003e \u003cp\u003e2.2.1 Historical Background of Electric Vehicle 19\u003c\/p\u003e \u003cp\u003e2.2.2 Advantages of Electric Vehicle 20\u003c\/p\u003e \u003cp\u003e2.2.2.1 Environmental 20\u003c\/p\u003e \u003cp\u003e2.2.2.2 Mechanical 20\u003c\/p\u003e \u003cp\u003e2.2.2.3 Energy Efficiency 20\u003c\/p\u003e \u003cp\u003e2.2.2.4 Cost of Charging Electric Vehicles 21\u003c\/p\u003e \u003cp\u003e2.2.2.5 The Grid Stabilization 21\u003c\/p\u003e \u003cp\u003e2.2.2.6 Range 21\u003c\/p\u003e \u003cp\u003e2.2.2.7 Heating of EVs 22\u003c\/p\u003e \u003cp\u003e2.2.3 Artificial Intelligence 22\u003c\/p\u003e \u003cp\u003e2.2.4 Basics of Artificial Intelligence 23\u003c\/p\u003e \u003cp\u003e2.2.5 Advantages of Artificial Intelligence in Electric Vehicle 24\u003c\/p\u003e \u003cp\u003e2.3 Brushless DC Motor 24\u003c\/p\u003e \u003cp\u003e2.4 Mathematical Representation Brushless DC Motor 25\u003c\/p\u003e \u003cp\u003e2.5 Closed-Loop Model of BLDC Motor Drive 30\u003c\/p\u003e \u003cp\u003e2.5.1 P-I Controller \u0026amp; I-P Controller 31\u003c\/p\u003e \u003cp\u003e2.6 PID Controller 32\u003c\/p\u003e \u003cp\u003e2.7 Fuzzy Control 33\u003c\/p\u003e \u003cp\u003e2.8 Auto-Tuning Type Fuzzy PID Controller 34\u003c\/p\u003e \u003cp\u003e2.9 Genetic Algorithm 35\u003c\/p\u003e \u003cp\u003e2.10 Artificial Neural Network-Based Controller 36\u003c\/p\u003e \u003cp\u003e2.11 BLDC Motor Speed Controller With ANN-Based PID Controller 37\u003c\/p\u003e \u003cp\u003e2.11.1 PID Controller-Based on Neuro Action 38\u003c\/p\u003e \u003cp\u003e2.11.2 ANN-Based on PID Controller 38\u003c\/p\u003e \u003cp\u003e2.12 Analysis of Different Speed Controllers 39\u003c\/p\u003e \u003cp\u003e2.13 Conclusion 41\u003c\/p\u003e \u003cp\u003eReferences 42\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 Optimization Techniques Used in Active Magnetic Bearing System for Electric Vehicles 49\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eSuraj Gupta, Pabitra Kumar Biswas, Sukanta Debnath and Jonathan Laldingliana\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e3.1 Introduction 50\u003c\/p\u003e \u003cp\u003e3.2 Basic Components of an Active Magnetic Bearing (AMB) 54\u003c\/p\u003e \u003cp\u003e3.2.1 Electromagnet Actuator 54\u003c\/p\u003e \u003cp\u003e3.2.2 Rotor 54\u003c\/p\u003e \u003cp\u003e3.2.3 Controller 55\u003c\/p\u003e \u003cp\u003e3.2.3.1 Position Controller 56\u003c\/p\u003e \u003cp\u003e3.2.3.2 Current Controller 56\u003c\/p\u003e \u003cp\u003e3.2.4 Sensors 56\u003c\/p\u003e \u003cp\u003e3.2.4.1 Position Sensor 56\u003c\/p\u003e \u003cp\u003e3.2.4.2 Current Sensor 57\u003c\/p\u003e \u003cp\u003e3.2.5 Power Amplifier 57\u003c\/p\u003e \u003cp\u003e3.3 Active Magnetic Bearing in Electric Vehicles System 58\u003c\/p\u003e \u003cp\u003e3.4 Control Strategies of Active Magnetic Bearing for Electric Vehicles System 59\u003c\/p\u003e \u003cp\u003e3.4.1 Fuzzy Logic Controller (FLC) 59\u003c\/p\u003e \u003cp\u003e3.4.1.1 Designing of Fuzzy Logic Controller (FLC) Using MATLAB 60\u003c\/p\u003e \u003cp\u003e3.4.2 Artificial Neural Network (ANN) 63\u003c\/p\u003e \u003cp\u003e3.4.2.1 Artificial Neural Network Using MATLAB 63\u003c\/p\u003e \u003cp\u003e3.4.3 Particle Swarm Optimization (PSO) 67\u003c\/p\u003e \u003cp\u003e3.4.4 Particle Swarm Optimization (PSO) Algorithm 68\u003c\/p\u003e \u003cp\u003e3.4.4.1 Implementation of Particle Swarm Optimization for Electric Vehicles System 70\u003c\/p\u003e \u003cp\u003e3.5 Conclusion 71\u003c\/p\u003e \u003cp\u003eReferences 72\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Small-Signal Modelling Analysis of Three-Phase Power Converters for EV Applications 77\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eMohamed G. Hussien, Sanjeevikumar Padmanaban, Abd El-Wahab Hassan and Jens Bo Holm-Nielsen\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e4.1 Introduction 77\u003c\/p\u003e \u003cp\u003e4.2 Overall System Modelling 79\u003c\/p\u003e \u003cp\u003e4.2.1 PMSM Dynamic Model 79\u003c\/p\u003e \u003cp\u003e4.2.2 VSI-Fed SPMSM Mathematical Model 80\u003c\/p\u003e \u003cp\u003e4.3 Mathematical Analysis and Derivation of the Small-Signal Model 86\u003c\/p\u003e \u003cp\u003e4.3.1 The Small-Signal Model of the System 86\u003c\/p\u003e \u003cp\u003e4.3.2 Small-Signal Model Transfer Functions 87\u003c\/p\u003e \u003cp\u003e4.3.3 Bode Diagram Verification 96\u003c\/p\u003e \u003cp\u003e4.4 Conclusion 100\u003c\/p\u003e \u003cp\u003eReferences 100\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 Energy Management of Hybrid Energy Storage System in PHEV With Various Driving Mode 103\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eS. Arun Mozhi, S. Charles Raja, M. Saravanan and J. Jeslin Drusila Nesamalar\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e5.1 Introduction 104\u003c\/p\u003e \u003cp\u003e5.1.1 Architecture of PHEV 104\u003c\/p\u003e \u003cp\u003e5.1.2 Energy Storage System 105\u003c\/p\u003e \u003cp\u003e5.2 Problem Description and Formulation 106\u003c\/p\u003e \u003cp\u003e5.2.1 Problem Description 106\u003c\/p\u003e \u003cp\u003e5.2.2 Objective 106\u003c\/p\u003e \u003cp\u003e5.2.3 Problem Formulation 106\u003c\/p\u003e \u003cp\u003e5.3 Modeling of HESS 107\u003c\/p\u003e \u003cp\u003e5.4 Results and Discussion 108\u003c\/p\u003e \u003cp\u003e5.4.1 Case 1: Gradual Acceleration of Vehicle 108\u003c\/p\u003e \u003cp\u003e5.4.2 Case 2: Gradual Deceleration of Vehicle 109\u003c\/p\u003e \u003cp\u003e5.4.3 Case 3: Unsystematic Acceleration and Deceleration of Vehicle 110\u003c\/p\u003e \u003cp\u003e5.5 Conclusion 111\u003c\/p\u003e \u003cp\u003eReferences 112\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 Reliability Approach for the Power Semiconductor Devices in EV Applications 115\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eKrishnachaitanya, D., Chitra, A. and Biswas, S.S.\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e6.1 Introduction 115\u003c\/p\u003e \u003cp\u003e6.2 Conventional Methods for Prediction of Reliability for Power Converters 116\u003c\/p\u003e \u003cp\u003e6.3 Calculation Process of the Electronic Component 118\u003c\/p\u003e \u003cp\u003e6.4 Reliability Prediction for MOSFETs 119\u003c\/p\u003e \u003cp\u003e6.5 Example: Reliability Prediction for Power Semiconductor Device 121\u003c\/p\u003e \u003cp\u003e6.6 Example: Reliability Prediction for Resistor 122\u003c\/p\u003e \u003cp\u003e6.7 Conclusions 123\u003c\/p\u003e \u003cp\u003eReferences 123\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 Modeling, Simulation and Analysis of Drive Cycles for PMSM-Based HEV With Optimal Battery Type 125\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eChitra, A., Srivastava, Shivam, Gupta, Anish, Sinha, Rishu, Biswas, S.S. and Vanishree, J.\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e7.1 Introduction 126\u003c\/p\u003e \u003cp\u003e7.2 Modeling of Hybrid Electric Vehicle 127\u003c\/p\u003e \u003cp\u003e7.2.1 Architectures Available for HEV 128\u003c\/p\u003e \u003cp\u003e7.3 Series—Parallel Hybrid Architecture 129\u003c\/p\u003e \u003cp\u003e7.4 Analysis With Different Drive Cycles 129\u003c\/p\u003e \u003cp\u003e7.4.1 Acceleration Drive Cycle 130\u003c\/p\u003e \u003cp\u003e7.4.1.1 For 30% State of Charge 130\u003c\/p\u003e \u003cp\u003e7.4.1.2 For 60% State of Charge 131\u003c\/p\u003e \u003cp\u003e7.4.1.3 For 90% State of Charge 131\u003c\/p\u003e \u003cp\u003e7.5 Cruising Drive Cycle 132\u003c\/p\u003e \u003cp\u003e7.6 Deceleration Drive Cycle 132\u003c\/p\u003e \u003cp\u003e7.6.1 For 30% State of Charge 134\u003c\/p\u003e \u003cp\u003e7.6.2 For 60% State of Charge 136\u003c\/p\u003e \u003cp\u003e7.6.3 For 90% State of Charge 137\u003c\/p\u003e \u003cp\u003e7.7 Analysis of Battery Types 139\u003c\/p\u003e \u003cp\u003e7.8 Conclusion 140\u003c\/p\u003e \u003cp\u003eReferences 141\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 Modified Firefly-Based Maximum Power Point Tracking Algorithm for PV Systems Under Partial Shading Conditions 143\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eChitra, A., Yogitha, G., Karthik Sivaramakrishnan, Razia Sultana, W. and Sanjeevikumar, P.\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e8.1 Introduction 143\u003c\/p\u003e \u003cp\u003e8.2 System Block Diagram Specifications 146\u003c\/p\u003e \u003cp\u003e8.3 Photovoltaic System Modeling 148\u003c\/p\u003e \u003cp\u003e8.4 Boost Converter Design 150\u003c\/p\u003e \u003cp\u003e8.5 Incremental Conductance Algorithm 152\u003c\/p\u003e \u003cp\u003e8.6 Under Partial Shading Conditions 153\u003c\/p\u003e \u003cp\u003e8.7 Firefly Algorithm 154\u003c\/p\u003e \u003cp\u003e8.8 Implementation Procedure 156\u003c\/p\u003e \u003cp\u003e8.9 Modified Firefly Logic 157\u003c\/p\u003e \u003cp\u003e8.10 Results and Discussions 159\u003c\/p\u003e \u003cp\u003e8.11 Conclusion 162\u003c\/p\u003e \u003cp\u003eReferences 162\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 Induction Motor Control Schemes for Hybrid Electric Vehicles\/Electric Vehicles 165\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eSarin, M.V., Chitra, A., Sanjeevikumar, P. and Venkadesan, A.\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e9.1 Introduction 166\u003c\/p\u003e \u003cp\u003e9.2 Control Schemes of IM 167\u003c\/p\u003e \u003cp\u003e9.2.1 Scalar Control 167\u003c\/p\u003e \u003cp\u003e9.3 Vector Control 168\u003c\/p\u003e \u003cp\u003e9.4 Modeling of Induction Machine 169\u003c\/p\u003e \u003cp\u003e9.5 Controller Design 174\u003c\/p\u003e \u003cp\u003e9.6 Simulations and Results 175\u003c\/p\u003e \u003cp\u003e9.7 Conclusions 176\u003c\/p\u003e \u003cp\u003eReferences 177\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 Intelligent Hybrid Battery Management System for Electric Vehicle 179\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eRajalakshmi, M. and Razia Sultana, W.\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e10.1 Introduction 179\u003c\/p\u003e \u003cp\u003e10.2 Energy Storage System (ESS) 181\u003c\/p\u003e \u003cp\u003e10.2.1 Lithium-Ion Batteries 183\u003c\/p\u003e \u003cp\u003e10.2.1.1 Lithium Battery Challenges 183\u003c\/p\u003e \u003cp\u003e10.2.2 Lithium–Ion Cell Modeling 184\u003c\/p\u003e \u003cp\u003e10.2.3 Nickel-Metal Hydride Batteries 186\u003c\/p\u003e \u003cp\u003e10.2.4 Lead-Acid Batteries 187\u003c\/p\u003e \u003cp\u003e10.2.5 Ultracapacitors (UC) 187\u003c\/p\u003e \u003cp\u003e10.2.5.1 Ultracapacitor Equivalent Circuit 187\u003c\/p\u003e \u003cp\u003e10.2.6 Other Battery Technologies 189\u003c\/p\u003e \u003cp\u003e10.3 Battery Management System 190\u003c\/p\u003e \u003cp\u003e10.3.1 Need for BMS 191\u003c\/p\u003e \u003cp\u003e10.3.2 BMS Components 192\u003c\/p\u003e \u003cp\u003e10.3.3 BMS Architecture\/Topology 193\u003c\/p\u003e \u003cp\u003e10.3.4 SOC\/SOH Determination 193\u003c\/p\u003e \u003cp\u003e10.3.5 Cell Balancing Algorithms 197\u003c\/p\u003e \u003cp\u003e10.3.6 Data Communication 197\u003c\/p\u003e \u003cp\u003e10.3.7 The Logic and Safety Control 198\u003c\/p\u003e \u003cp\u003e10.3.7.1 Power Up\/Down Control 198\u003c\/p\u003e \u003cp\u003e10.3.7.2 Charging and Discharging Control 199\u003c\/p\u003e \u003cp\u003e10.4 Intelligent Battery Management System 199\u003c\/p\u003e \u003cp\u003e10.4.1 Rule-Based Control 201\u003c\/p\u003e \u003cp\u003e10.4.2 Optimization-Based Control 201\u003c\/p\u003e \u003cp\u003e10.4.3 AI-Based Control 202\u003c\/p\u003e \u003cp\u003e10.4.4 Traffic (Look Ahead Method)-Based Control 203\u003c\/p\u003e \u003cp\u003e10.5 Conclusion 203\u003c\/p\u003e \u003cp\u003eReferences 203\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11 A Comprehensive Study on Various Topologies of Permanent Magnet Motor Drives for Electric Vehicles Application 207\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eChiranjit Sain, Atanu Banerjee and Pabitra Kumar Biswas\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e11.1 Introduction 208\u003c\/p\u003e \u003cp\u003e11.2 Proposed Design Considerations of PMSM for Electric Vehicle 209\u003c\/p\u003e \u003cp\u003e11.3 Impact of Digital Controllers 211\u003c\/p\u003e \u003cp\u003e11.3.1 DSP-Based Digital Controller 212\u003c\/p\u003e \u003cp\u003e11.3.2 FPGA-Based Digital Controller 212\u003c\/p\u003e \u003cp\u003e11.4 Electric Vehicles Smart Infrastructure 212\u003c\/p\u003e \u003cp\u003e11.5 Conclusion 214\u003c\/p\u003e \u003cp\u003eReferences 215\u003c\/p\u003e \u003cp\u003e\u003cb\u003e12 A New Approach for Flux Computation Using Intelligent Technique for Direct Flux Oriented Control of Asynchronous Motor 219\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eA. Venkadesan, K. Sedhuraman, S. Himavathi and A. Chitra\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e12.1 Introduction 220\u003c\/p\u003e \u003cp\u003e12.2 Direct Field-Oriented Control of IM Drive 221\u003c\/p\u003e \u003cp\u003e12.3 Conventional Flux Estimator 222\u003c\/p\u003e \u003cp\u003e12.4 Rotor Flux Estimator Using CFBP-NN 223\u003c\/p\u003e \u003cp\u003e12.5 Comparison of Proposed CFBP-NN With Existing CFBP-NN for Flux Estimation 224\u003c\/p\u003e \u003cp\u003e12.6 Performance Study of Proposed CFBP-NN Using MATLAB\/SIMULINK 225\u003c\/p\u003e \u003cp\u003e12.7 Practical Implementation Aspects of CFBP-NN-Based Flux Estimator 229\u003c\/p\u003e \u003cp\u003e12.8 Conclusion 231\u003c\/p\u003e \u003cp\u003eReferences 231\u003c\/p\u003e \u003cp\u003e\u003cb\u003e13 A Review on Isolated DC–DC Converters Used in Renewable Power Generation Applications 233\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eIngilala Jagadeesh and V. Indragandhi\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e13.1 Introduction 233\u003c\/p\u003e \u003cp\u003e13.2 Isolated DC–DC Converter for Electric Vehicle Applications 234\u003c\/p\u003e \u003cp\u003e13.3 Three-Phase DC–DC Converter 238\u003c\/p\u003e \u003cp\u003e13.4 Conclusion 238\u003c\/p\u003e \u003cp\u003eReferences 239\u003c\/p\u003e \u003cp\u003e\u003cb\u003e14 Basics of Vector Control of Asynchronous Induction Motor and Introduction to Fuzzy Controller 241\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eS.S. Biswas\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e14.1 Introduction 241\u003c\/p\u003e \u003cp\u003e14.2 Dynamics of Separately Excited DC Machine 243\u003c\/p\u003e \u003cp\u003e14.3 Clarke and Park Transforms 244\u003c\/p\u003e \u003cp\u003e14.4 Model Explanation 251\u003c\/p\u003e \u003cp\u003e14.5 Motor Parameters 252\u003c\/p\u003e \u003cp\u003e14.6 PI Regulators Tuning 254\u003c\/p\u003e \u003cp\u003e14.7 Future Scope to Include Fuzzy Control in Place of PI Controller 256\u003c\/p\u003e \u003cp\u003e14.8 Conclusion 257\u003c\/p\u003e \u003cp\u003eReferences 258\u003c\/p\u003e \u003cp\u003eIndex 259\u003c\/p\u003e","brand":"John Wiley \u0026 Sons","offers":[{"title":"Default Title","offer_id":51039267193175,"sku":"9781119681908","price":143.06,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781119681908.jpg?v=1750943105","url":"https:\/\/bookcurl.com\/products\/artificial-intelligent-techniques-for-electric-and-hybrid-electric-vehicles-9781119681908","provider":"Book Curl","version":"1.0","type":"link"}