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Submit a ProposalModern Automotive Electrical Systems
 | Theory and Applications Edited by Pedram Asef, Sanjeevikumar Padmanaban, and Andrew Lapthorn Copyright: 2023 | Status: Published ISBN: 1119801047 | Hardcover | 244 pages Price: $195 USD  |
One Line Description
Presenting the concepts and advances of modern automotive electrical systems, this volume, written and edited by a global team of experts, also goes into the practical applications for the engineer, student, and other industry professionals.
Audience
Researchers, software developers, engineers, scientists, students, and other professionals in automotive engineering, electronics, electrical engineering, and other areas of research
Researchers, software developers, engineers, scientists, students, and other professionals in automotive engineering, electronics, electrical engineering, and other areas of research
Description
In recent decades, the rapid and mature development of electronics and electrical components and systems have inevitably been recognized in the automotive industry. This book serves engineers, scientists, students, and other industry professionals as a guide to learn fundamental and advanced concepts and technologies with modelling simulations and case studies. After reading this book, users will have understood the main electrical and electronic components used in EVs.
In this new volume are many fundamentals and advances of modern automotive electrical systems, such as advanced technologies in modern automotive electrical systems, electrical machines characterization and their drives technology for EVs, modeling and analysis of energy storage systems, applied artificial intelligence techniques for energy management systems, fault detection and isolation in electric powertrains, and thermal management for automotive electrical systems.
Also covered are new innovations, such as the use of power electronics in low and high voltage circuits, electrified propulsion systems, energy storage systems, and intelligent energy management methods in EVs. Valuable as a learning tool for beginners in this area as well as a daily reference for engineers and scientists working in these areas, this is a must-have for any library.
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In recent decades, the rapid and mature development of electronics and electrical components and systems have inevitably been recognized in the automotive industry. This book serves engineers, scientists, students, and other industry professionals as a guide to learn fundamental and advanced concepts and technologies with modelling simulations and case studies. After reading this book, users will have understood the main electrical and electronic components used in EVs.
In this new volume are many fundamentals and advances of modern automotive electrical systems, such as advanced technologies in modern automotive electrical systems, electrical machines characterization and their drives technology for EVs, modeling and analysis of energy storage systems, applied artificial intelligence techniques for energy management systems, fault detection and isolation in electric powertrains, and thermal management for automotive electrical systems.
Also covered are new innovations, such as the use of power electronics in low and high voltage circuits, electrified propulsion systems, energy storage systems, and intelligent energy management methods in EVs. Valuable as a learning tool for beginners in this area as well as a daily reference for engineers and scientists working in these areas, this is a must-have for any library.
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Author / Editor Details
Pedram Asef, PhD, is an assistant professor in electrical engineering in the Department of Electronic and Electrical Engineering, University of Bath, in the UK and is also affiliated with the Institute for Advanced Automotive Propulsion Systems (IAAPS). He received his PhD in electrical engineering from the Polytechnic University of Catalonia, Spain. He is a Fellow of the Higher Education Academy (FHEA), a Charted Engineer (CEng) registered by the Engineering Council, and an endorsed Researcher by the Royal Academy of Engineering, in the UK. He is an editor for numerous scientific journals in this area and is a chair and committee member of multiple IEEE International conferences.
Pedram Asef, PhD, is an assistant professor in electrical engineering in the Department of Electronic and Electrical Engineering, University of Bath, in the UK and is also affiliated with the Institute for Advanced Automotive Propulsion Systems (IAAPS). He received his PhD in electrical engineering from the Polytechnic University of Catalonia, Spain. He is a Fellow of the Higher Education Academy (FHEA), a Charted Engineer (CEng) registered by the Engineering Council, and an endorsed Researcher by the Royal Academy of Engineering, in the UK. He is an editor for numerous scientific journals in this area and is a chair and committee member of multiple IEEE International conferences.
Sanjeevikumar Padmanaban, PhD, is a faculty member with the Department of Energy Technology, Aalborg University, Esbjerg, Denmark and works with CTIF Global Capsule (CGC), Department of Business Development and Technology, Aarhus University, Denmark. He received his PhD in electrical engineering from the University of Bologna, Italy. He has almost ten years of teaching, research and industrial experience and is an associate editor on a number of international scientific refereed journals. He has published more than 300 research papers and has won numerous awards for his research and teaching.
Andrew Lapthorn, PhD, is a senior lecturer with the Department of Electrical and Computer Engineering, University of Canterbury, where he also manages the High Voltage Laboratory. He received his PhD degree in electrical engineering from the University of Canterbury, Christchurch, New Zealand.
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Table of Contents
Preface
1. General Introduction and Classification of Electrical Powertrains
Johannes J.H. Paulides, Laurentiu Encica, Sebastiaan van der Molen and Bruno Ricardo Marques
1.1 Introduction
1.2 Worldwide Background for Change
1.3 Influence of Electric Vehicles on Climate Change
1.4 Mobility Class Based on Experience in the Netherlands (Based on EU Model)
1.5 Type-Approval Procedure
1.6 Torque-Speed Characteristic of the Powertrain for Mobility Vehicles
1.7 Methods of Field Weakening Without a Clear Definition
1.8 Consideration and Literature Concerning “Electronic” Field Weakening: What Does it Mean?
1.9 Summary of Electronic Field Weakening Definitions
1.10 Critical Study of Field Weakening Definitions
1.11 Motor Limits
1.12 Concluding Remarks
References
2. Comparative Analyses of the Response of Core Temperature of a Lithium Ion Battery under Various Drive Cycles
Sumukh Surya and Vineeth Patil
2.1 Introduction
2.2 Thermal Modeling
2.3 Methodology
2.4 Simulation Results
2.5 Conclusions
References
3. Classification and Assessment of Energy Storage Systems for Electrified Vehicle Applications: Modelling, Challenges, and Recent Developments
Seyed Ehsan Ahmadi and Sina Delpasand
3.1 Introduction
3.2 Backgrounds
3.2.1 EV Classifications
3.2.2 EV Charging/Discharging Strategies
3.2.2.1 Uncontrolled Charge and Discharge Strategies
3.2.2.2 Controlled Charge and Discharge Strategies
3.2.2.3 Wireless Charging of EV
3.2.3 Classification of ESSs in EVs
3.3 Modeling of ESSs Applied in EVs
3.3.1 Mechanical Energy Storages
3.3.1.1 Flywheel Energy Storages
3.3.2 Electrochemical Energy Storages
3.3.2.1 Flow Batteries
3.3.2.2 Secondary Batteries
3.3.3 Chemical Storage Systems
3.3.4 Electrical Energy Storage Systems
3.3.4.1 Ultracapacitors
3.3.4.2 Superconducting Magnetic
3.3.5 Thermal Storage Systems
3.3.6 Hybrid Storage Systems
3.3.7 Modeling Electrical Behavior
3.3.8 Modeling Thermal Behavior
3.3.9 SOC Calculation
3.4 Characteristics of ESSs
3.5 Application of ESSs in EVs
3.6 Methodologies of Calculating the SOC
3.6.1 Current-Based SOC Calculation Approach
3.6.2 Voltage-Based SOC Calculation Approach
3.6.3 Extended Kalman-Filter-Based SOC Calculation Approach
3.6.4 SOC Calculation Approach Based on the Transient Response Characteristics
3.6.5 Fuzzy Logic
3.6.6 Neural Networks
3.7 Estimation of Battery Power Availability
3.7.1 PNGV HPPC Power Availability Estimation Approach
3.7.2 Revised PNGV HPPC Power Availability Estimation Approach
3.7.3 Power Availability Estimation Based on the Electrical Circuit Equivalent Model
3.8 Life Prediction of Battery
3.8.1 Aspects of Battery Life
3.8.1.1 Temperature
3.8.1.2 Depth of Discharge
3.8.1.3 Charging/Discharging Rate
3.8.2 Battery Life Prediction Approaches
3.8.2.1 Physic-Chemical Aging Method
3.8.2.2 Event-Oriented Aging Method
3.8.2.3 Lifetime Prediction Method Based on SOL
3.8.3 RUL Prediction Methods
3.8.3.1 Machine Learning Methods
3.8.3.2 Adaptive Filter Methods
3.8.3.3 Stochastic Process Methods
3.9 Recent Trends, Future Extensions, and Challenges of ESSs in EV Implementations
3.10 Government Policy Challenges for EVs
3.11 Conclusion
References
4. Thermal Management of the Li-Ion Batteries to Improve the Performance of the Electric Vehicles Applications
Hamidreza Behi, Foad H. Gandoman, Danial Karimi, MD Sazzad Hosen, Mohammadreza Behi, Joris Jaguemont, Joeri Van Mierlo and Maitane Berecibar
4.1 Introduction
4.2 The Objective of the Research
4.3 Electric Vehicles Trend
4.4 Thermal Management of the Li-Ion Batteries
4.4.1 Internal Battery Thermal Management System
4.4.2 External Battery Thermal Management System
4.4.2.1 Active Cooling Systems
4.4.2.2 Passive Cooling Systems
4.5 Lifetime Performance of Li-Ion Batteries
4.5.1 Why Do Batteries Age?
4.5.2 Characterisation Techniques of Aging
4.5.3 Lifetime Tests Protocols of the Li-Ion Batteries
4.5.4 Lifetime Results of Different Li-Ion Technologies
4.6 Basic Aspects of Safety and Reliability Evaluation of EVs
4.6.1 Concept Reliability Analysis of Battery Pack from Thermal Aspects
4.6.2 Reliability Assessment of the Li-Ion Battery at High and Low Temperatures
4.7 Conclusion
References
5. Fault Detection and Isolation in Electric Vehicle Powertrain
Gbanaibolou Jombo and Yu Zhang
5.1 Introduction
5.1.1 EV Powertrain Configurations
5.1.1.1 Battery Electric Vehicle (BEV)
5.1.1.2 Hybrid Electric Vehicle (HEV)
5.1.1.3 Fuel Cell Electric Vehicle (FCEV)
5.1.2 EV Powertrain Technologies
5.1.2.1 Energy Storage System
5.1.2.2 Electric Motor
5.1.2.3 Power Electronics
5.2 Battery Fault Diagnosis
5.2.1 Battery Management System (BMS)
5.2.2 Model-Based FDI Approach
5.2.2.1 Battery Modelling
5.2.3 Signal Processing-Based FDI Approach
5.2.3.1 State of Charge (SOC) Estimation
5.2.3.2 State of Health Estimation
5.3 Electric Motor Fault Diagnosis
5.3.1 Electric Motor Faults
5.3.1.1 Mechanical Fault
5.3.1.2 Electrical Fault
5.3.2 Signal Processing-Based FDI Approach
5.3.2.1 Motor Current Signature Analysis (MSCA)
5.4 Power Electronics Fault Diagnosis
5.4.1 Signal Processing-Based FDI Approach
5.4.1.1 Open Switch Fault
5.4.1.2 Short Switch Fault
5.5 Conclusions
References
Index
Back to Top
Preface
1. General Introduction and Classification of Electrical Powertrains
Johannes J.H. Paulides, Laurentiu Encica, Sebastiaan van der Molen and Bruno Ricardo Marques
1.1 Introduction
1.2 Worldwide Background for Change
1.3 Influence of Electric Vehicles on Climate Change
1.4 Mobility Class Based on Experience in the Netherlands (Based on EU Model)
1.5 Type-Approval Procedure
1.6 Torque-Speed Characteristic of the Powertrain for Mobility Vehicles
1.7 Methods of Field Weakening Without a Clear Definition
1.8 Consideration and Literature Concerning “Electronic” Field Weakening: What Does it Mean?
1.9 Summary of Electronic Field Weakening Definitions
1.10 Critical Study of Field Weakening Definitions
1.11 Motor Limits
1.12 Concluding Remarks
References
2. Comparative Analyses of the Response of Core Temperature of a Lithium Ion Battery under Various Drive Cycles
Sumukh Surya and Vineeth Patil
2.1 Introduction
2.2 Thermal Modeling
2.3 Methodology
2.4 Simulation Results
2.5 Conclusions
References
3. Classification and Assessment of Energy Storage Systems for Electrified Vehicle Applications: Modelling, Challenges, and Recent Developments
Seyed Ehsan Ahmadi and Sina Delpasand
3.1 Introduction
3.2 Backgrounds
3.2.1 EV Classifications
3.2.2 EV Charging/Discharging Strategies
3.2.2.1 Uncontrolled Charge and Discharge Strategies
3.2.2.2 Controlled Charge and Discharge Strategies
3.2.2.3 Wireless Charging of EV
3.2.3 Classification of ESSs in EVs
3.3 Modeling of ESSs Applied in EVs
3.3.1 Mechanical Energy Storages
3.3.1.1 Flywheel Energy Storages
3.3.2 Electrochemical Energy Storages
3.3.2.1 Flow Batteries
3.3.2.2 Secondary Batteries
3.3.3 Chemical Storage Systems
3.3.4 Electrical Energy Storage Systems
3.3.4.1 Ultracapacitors
3.3.4.2 Superconducting Magnetic
3.3.5 Thermal Storage Systems
3.3.6 Hybrid Storage Systems
3.3.7 Modeling Electrical Behavior
3.3.8 Modeling Thermal Behavior
3.3.9 SOC Calculation
3.4 Characteristics of ESSs
3.5 Application of ESSs in EVs
3.6 Methodologies of Calculating the SOC
3.6.1 Current-Based SOC Calculation Approach
3.6.2 Voltage-Based SOC Calculation Approach
3.6.3 Extended Kalman-Filter-Based SOC Calculation Approach
3.6.4 SOC Calculation Approach Based on the Transient Response Characteristics
3.6.5 Fuzzy Logic
3.6.6 Neural Networks
3.7 Estimation of Battery Power Availability
3.7.1 PNGV HPPC Power Availability Estimation Approach
3.7.2 Revised PNGV HPPC Power Availability Estimation Approach
3.7.3 Power Availability Estimation Based on the Electrical Circuit Equivalent Model
3.8 Life Prediction of Battery
3.8.1 Aspects of Battery Life
3.8.1.1 Temperature
3.8.1.2 Depth of Discharge
3.8.1.3 Charging/Discharging Rate
3.8.2 Battery Life Prediction Approaches
3.8.2.1 Physic-Chemical Aging Method
3.8.2.2 Event-Oriented Aging Method
3.8.2.3 Lifetime Prediction Method Based on SOL
3.8.3 RUL Prediction Methods
3.8.3.1 Machine Learning Methods
3.8.3.2 Adaptive Filter Methods
3.8.3.3 Stochastic Process Methods
3.9 Recent Trends, Future Extensions, and Challenges of ESSs in EV Implementations
3.10 Government Policy Challenges for EVs
3.11 Conclusion
References
4. Thermal Management of the Li-Ion Batteries to Improve the Performance of the Electric Vehicles Applications
Hamidreza Behi, Foad H. Gandoman, Danial Karimi, MD Sazzad Hosen, Mohammadreza Behi, Joris Jaguemont, Joeri Van Mierlo and Maitane Berecibar
4.1 Introduction
4.2 The Objective of the Research
4.3 Electric Vehicles Trend
4.4 Thermal Management of the Li-Ion Batteries
4.4.1 Internal Battery Thermal Management System
4.4.2 External Battery Thermal Management System
4.4.2.1 Active Cooling Systems
4.4.2.2 Passive Cooling Systems
4.5 Lifetime Performance of Li-Ion Batteries
4.5.1 Why Do Batteries Age?
4.5.2 Characterisation Techniques of Aging
4.5.3 Lifetime Tests Protocols of the Li-Ion Batteries
4.5.4 Lifetime Results of Different Li-Ion Technologies
4.6 Basic Aspects of Safety and Reliability Evaluation of EVs
4.6.1 Concept Reliability Analysis of Battery Pack from Thermal Aspects
4.6.2 Reliability Assessment of the Li-Ion Battery at High and Low Temperatures
4.7 Conclusion
References
5. Fault Detection and Isolation in Electric Vehicle Powertrain
Gbanaibolou Jombo and Yu Zhang
5.1 Introduction
5.1.1 EV Powertrain Configurations
5.1.1.1 Battery Electric Vehicle (BEV)
5.1.1.2 Hybrid Electric Vehicle (HEV)
5.1.1.3 Fuel Cell Electric Vehicle (FCEV)
5.1.2 EV Powertrain Technologies
5.1.2.1 Energy Storage System
5.1.2.2 Electric Motor
5.1.2.3 Power Electronics
5.2 Battery Fault Diagnosis
5.2.1 Battery Management System (BMS)
5.2.2 Model-Based FDI Approach
5.2.2.1 Battery Modelling
5.2.3 Signal Processing-Based FDI Approach
5.2.3.1 State of Charge (SOC) Estimation
5.2.3.2 State of Health Estimation
5.3 Electric Motor Fault Diagnosis
5.3.1 Electric Motor Faults
5.3.1.1 Mechanical Fault
5.3.1.2 Electrical Fault
5.3.2 Signal Processing-Based FDI Approach
5.3.2.1 Motor Current Signature Analysis (MSCA)
5.4 Power Electronics Fault Diagnosis
5.4.1 Signal Processing-Based FDI Approach
5.4.1.1 Open Switch Fault
5.4.1.2 Short Switch Fault
5.5 Conclusions
References
Index
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