Buch, Englisch, 272 Seiten
Buch, Englisch, 272 Seiten
ISBN: 978-1-394-33409-4
Verlag: John Wiley & Sons Inc
Master energy storage system design for electric vehicles
Electric vehicles face urgent challenges including high battery costs, slow charging infrastructure, and battery management risks. Principles of Electric Energy Storage Systems for E-Mobility provides engineers and students with comprehensive guidance on designing energy storage systems for transportation electrification applications. Written by Sheldon Williamson, an NSERC Canada Research Chair, this textbook connects academic research with practical product development.
The book covers lithium-ion batteries, supercapacitors, and emerging technologies including solid-state batteries and fuel cells. It explores electrical modeling, state estimation techniques, thermal management strategies, and battery sizing methodologies. Chapters address charging methods and international standards including CHAdeMO and CCS, along with second-life applications for grid storage systems. Vehicle-to-grid applications with related control algorithms are explored in depth.
The book also includes: - Detailed solved examples demonstrating battery capacity calculation, lifetime estimation, thermal modeling, battery cooling, and charging time analysis
- Comprehensive coverage of battery management system design including SOC, SOP, SOH, SOE, and RUL estimation techniques
- Practical guidance on supercapacitors and hybrid energy storage systems with comparative analysis against lithium-ion batteries
- Complete exploration of charging topologies from constant current-constant voltage to pulse charging with charger sizing examples
- In-depth discussion of second-life battery applications including economic benefits, technical challenges, and grid integration strategies
This book serves engineers, researchers, and graduate students working in electric vehicle development and energy storage. With case studies, real-world examples, and solved problems throughout, it provides the technical foundation and practical tools needed to design effective energy storage systems for electric transportation applications.
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Table of Contents
Chapter 1: Introduction to Electric Energy Storage Systems
1. Introduction
2. Advances in Battery Technologies
2.1. Battery Management and Charging Strategies
2.2. Vehicle-to-Grid and Second-Life Applications
3. Classification of Energy Storage Technologies
3.1. Chemical Energy Storage
3.2. Electrical Energy Storage
3.3. Electrochemical Energy Storage
3.4. Electromagnetic Energy Storage
3.5. Mechanical Energy Storage
3.6. Thermal Energy Storage
4. Hybrid Energy Storage Systems
5. Comparative Analysis and Applications
6. Challenges and Future Directions
7. Emerging Technologies: Looking Forward
Chapter 2: Battery Fundamentals
1. 1. Introduction
1.1. Historical development of battery technology
1.2. Historical development of automotive propulsion for electric vehicles
2. Different Battery Types
3. Construction
4. Operating Principles
5. Internal Kinetics
6. Charging and Discharging Characteristics
7. Battery Management System (BMS)
7.1. Battery Monitoring and State Estimation
7.2. Safety Management
7.3. Battery Performance Optimization
7.4. Longevity Enhancement
7.5. Thermal Management
7.6. Energy Efficiency
7.7. Communications and Control
7.8. Architecture of LIBs with BMS
7.9. Protection in BMS
7.10. Communication in BMS
7.11. 7.11 Data Monitoring
7.12. CAN Bus Data Decoder `
8. Introduction to Configurations and System Design Consideration
9. Battery Degradation
10. Characteristics and performance of lithium-ion batteries
11. States of battery
11.1. State of charge (SOC)
11.2. State of power (SOP)
11.3. State of health (SOH)
11.4. State of temperature (SOT)
11.5. State of energy (SOE)
11.6. Remaining useful life (RUL)
12. Solved examples on calculating battery capacity, estimation of battery lifetime
Chapter 3: Alternative Energy Storage Devices: Supercapacitors & Fuel Cells
1. Introduction
2. Supercapacitors
3. Fuel Cells
3.1. Fuel cell types
3.1.1. Polymer-electrolyte membrane fuel cells (PEMFCs)
3.1.2. Alkaline
3.1.3. Solid Oxide
3.1.4. Phosphoric acid
3.1.5. Molten carbonate
4. Hybrid Systems
4.1. Battery/Supercapacitor
4.2. Battery/Fuel Cell
5. Conclusions
Chapter 4: Electrical Circuit Modeling, State Estimation, and Battery Pack Design
1. Introduction
2. Battery Sizing
2.1. Key Parameters for Battery Sizing
2.1.1. Electrode Materials, Cell Voltage and Cell sizing
2.1.2. Specific Capacity, Ah vs Wh, and Energy Density
2.1.3. C-Rate, Power Capability, and Rate-Dependent Capacity
2.2. Battery Capacity and Power Sizing Methodology
2.2.1. Energy-Based Sizing
2.2.2. Voltage Determination and Series Cell Configuration
2.2.3. Capacity Scaling and Parallel Cell Configuration
2.2.4. Power-Based Sizing and C-Rate Constraints
3. Lithium-ion Battery States
3.1. State-of-Charge (SOC)
3.1.1. Direct Methods
3.1.2. Model-Based Estimation Methods
3.1.3. Adaptive Methods
3.1.4. Hybrid SOC Estimation Approaches
3.2. Depth of Discharge (DOD)
3.3. State of Health (SOH)
3.3.1. Experimental Method
3.3.2. Model Based Methods
3.4. Remaining Useful Life
3.5. State of Temperature (SOT)
4. Battery Thermal Management System
4.1. Lithium-Ion Battery Thermal Behavior
4.2. Thermal Management Techniques for EV Battery Packs
4.3. Lumped Thermal Modeling of Battery Packs
5. Battery management systems design
Chapter 5: Battery Charging Systems
1. Introduction
2. Fundamentals of Battery Charging
3. Charging Strategies
3.1. Constant Current-Constant Voltage (CC-CV)
3.2. Multi-Stage Constant Current (MSCC)
3.3. Pulse Charging
3.4. Constant Temperature-Constant Voltage (CT-CV)
4. Charging Standards
5. Different charging levels
5.1. Level 1 Charging
5.2. Level 2 Charging
5.3. Level 3 Charging (DC Fast Charging)
6. Emerging Electric Vehicle Charging Approaches
7. Power-Electronic Interfaces for Battery Charging
7.1. AC Charging Architecture (Level 1 and Level 2)
7.2. DC Fast Charging Architecture (Level 3)
8. Solved Examples of Battery Charging
Chapter 6: Second-life Applications of Retired EV Batteries
1. Introduction
2. Motivation, Challenges, and Value Proposition
2.1. Why second life is attractive from an energy and electrical perspective
2.2. Key technical challenges: heterogeneity, uncertainty, and bankability
2.3. Diagnostics, grading, and compliance considerations
2.4. Value proposition across environmental, economic, and grid dimensions
3. Taxonomy of Second-Life Applications
3.1. Classification by Mobility Level
3.2. Use Cases and Technical Requirements
3.3. Repurposing Level and Integration Implications
4. Performance Metrics of Second-Life Applications
4.1. Technical Performance Metrics
4.2. Economic Performance Metrics
4.3. Environmental and Sustainability Performance Metrics
4.4. Reliability and Operational Performance Metrics
4.5. Application-Specific Performance Metrics
4.6. Multi-Criteria Evaluation and Composite Index Development
5. Assessment, Testing, and Grading workflows
5.1. Second-life Battery SOH Estimation and Ageing Models
5.2. Degradation Data from First Use
5.3. Screening, Sorting, and Repurposing
5.4. Safety and Regulatory Compliance Testing
6. Grading, Classification, and Application Matching
6.1. Purpose and Decision-Gate Role
6.2. Grade A/B/C Logic and Thresholding
6.3. Capacity–Resistance Trade-offs and Power Capability
6.4. Mapping Grades to Second-Life Applications
6.5. Interface with Techno-economic Assessment
7. Deployment Domains and Case Studies for Second-Life Batteries
7.1. Stationary Second-Life Applications
7.2. Illustrative Lifetime Sensitivity Across Use Cases
7.3. Economic Note on Service Stacking
8. Future Trends and Innovations
8.1. Digital-Twin-Based Diagnostics and Health-Aware Operation
8.2. AI-Driven SOH and RUL Estimation Under Heterogeneity
8.3. Standardized Refurbishment and Integration Architectures
8.4. Service-Based Business Models and Risk Allocation
8.5. Grid-Interactive and Aggregated SLB Fleets
9. Conclusions and Outlook
10. Additional Solved Examples
Chapter 7: Advanced Topics and Emerging Technologies
1. Introduction
2. Decentralized Energy Storage System
3. Major Components of Decentralized Energy Storage Systems
3.1. Energy Storage Medium
3.2. Power Conversion System (PCS)
3.3. Battery Management System (BMS)
3.4. Energy Management System (EMS)
3.5. Communication and Control Infrastructure
3.6. Protection, Safety, and Auxiliary Systems
4. Detailed Insights into Core Applications
4.1. Microgrids: Resilient Local Ecosystems
4.2. Virtual Power Plants (VPPs): Digital Power Stations
4.3. Prosumer Integration and Peer-to-Peer (P2P) Trading
4.4. Vehicle-to-Grid (V2G) Technology
5. Integration of Energy Storage with Renewable Energy Systems
6. Application of energy storage in microgrids and remote areas
7. Integration of EVs into grid
7.1. Technical Challenges of Large-Scale EV Integration
7.2. Vehicle to grid application
7.3. Vehicle to home application
7.4. Related algorithms
Chapter 8: Conclusions and Future Directions
1. Summary of Key Concepts
1.1. Fundamentals of Lithium-Ion Batteries
1.2. Alternative Storage and Hybrid Systems
1.3. Modeling and State Estimation
1.4. Charging Systems and Infrastructure
2. Challenges and Opportunities in Electric Energy Storage
2.1. Degradation and Aging
2.2. Thermal Management and Safety
2.3. State Estimation Complexity
2.4. Grid Integration and Second-Life Applications
3. Future Directions in Energy Storage Research and Development
4. Concluding Remarks
