Battery Management Systems for Electric Vehicles
Fundamentals, Design Strategies, and Future Trends
- 1st Edition - March 1, 2027
- Latest edition
- Editors: Sanjeev Gautam, Sanjeev Manhas
- Language: English
Battery Management Systems for Electric Vehicles: Fundamentals, Design Strategies, and Future Trends examines modern electric vehicle technology, focusing on the crucial role o… Read more
Description
Description
Battery Management Systems for Electric Vehicles: Fundamentals, Design Strategies, and Future Trends examines modern electric vehicle technology, focusing on the crucial role of Battery Management Systems (BMS). Written for engineers, researchers, and senior students, this comprehensive guide provides a thorough examination of battery fundamentals, system design considerations, and advanced modeling techniques. From exploring key battery chemistries and thermal management solutions to detailing cutting-edge control strategies and fault diagnosis methods, the book underscores the interdisciplinary nature of EV development. Case studies illustrate real-world applications, highlighting both successes and lessons learned, while forward-looking chapters investigate emerging technologies—such as AI-driven monitoring and solid-state batteries—poised to shape the next generation of EVs. Through clear explanations, detailed illustrations, and practical insights, readers will gain the knowledge needed to optimize EV performance, enhance safety, and extend battery longevity.
Key features
Key features
- By spanning battery chemistry through advanced battery management systems or BMS algorithms, “Battery Management Systems for Electric Vehicles” provides a single resource that encapsulates both theoretical underpinnings and hands-on design practices
- The book practical examples and industry examples to illustrate common pitfalls and innovative solutions, offering invaluable lessons for readers working on commercial or research-based EV projects
- The book integrates materials science, electrical engineering, and automotive design to highlight how collaboration across these fields enhances battery performance and reduces system-level failures
- “Battery Management Systems for Electric Vehicles” includes discussions of next-generation battery technologies, such as solid-state systems and AI-driven diagnostics, prepare readers for upcoming market shifts and regulatory changes
Readership
Readership
Researchers, academics, and advanced students in the fields of materials science, electrical engineering, and sustainable transportation; as well as industry professionals and engineering teams involved in designing, implementing, or optimizing battery management systems within electric vehicle platforms
Table of contents
Table of contents
1. Introduction to Electric Vehicles
1.1 Historical Evolution of EVs
1.2 Market Trends and Global Adoption
1.3 Key EV Subsystems (Motor, Inverter, Battery Pack)
1.4 Role of Battery Management Systems in EV Ecosystems
1.5 Environmental and Regulatory Drivers
1.6 Chapter Summary and Preview
2. Fundamentals of Battery Technologies
2.1 Basic Electrochemical Principles
2.2 Lithium-Ion Battery Chemistry
2.3 Alternative Chemistries (NiMH, Lead-Acid, Emerging Solid-State)
2.4 Performance Metrics: Energy Density, Power Density, Cycle Life
2.5 Battery Degradation Mechanisms and Failure Modes
2.6 Chapter Summary
3. Battery Management Systems — Concepts and Architectures
3.1 Core BMS Functions (Monitoring, Protection, Balancing)
3.2 BMS Hardware Components (Sensors, Microcontrollers, Power Electronics)
3.3 Communication Protocols (CAN, LIN, Ethernet) and EV Integration
3.4 Centralized vs. Distributed BMS Architectures
3.5 Standards and Compliance (ISO, SAE, IEC)
3.6 Chapter Summary
4.
4.1 State-of-Charge (SoC) Estimation Techniques
4.2 State-of-Health (SoH) and State-of-Function (SoF) Methods
4.3 Estimation Algorithms: Kalman Filters, Extended Kalman Filters, Neural Networks
4.4 Adaptive Control Strategies and Model Predictive Control
4.5 Sensor Fusion and Data Analytics
4.6 Chapter Summary
5. Thermal Management and Safety
5.1 Sources of Heat Generation in Battery Cells
5.2 Thermal Modeling and Simulation
5.3 Active and Passive Cooling Strategies
5.4 Thermal Runaway Mechanisms and Prevention
5.5 Fault Diagnosis and Safety Protocols
5.6 Chapter Summary
6. Power Electronics in BMS
6.1 DC-DC Converters for Charging and Discharging
6.2 Bidirectional Inverters and Regenerative Braking
6.3 Battery Chargers: On-Board vs. Off-Board
6.4 Interaction with Vehicle Power Distribution Units
6.5 Emerging Trends in Power Electronics (Wide-Bandgap Devices, SiC/GaN)
6.6 Chapter Summary
7. Design and Implementation Case Studies
7.1 Industrial BMS Designs (Passenger Cars, Buses, Logistics Fleets)
7.2 Retrofitting ICE Vehicles into EVs
7.3 Battery Swapping and Wireless Charging Projects
7.4 Fleet Management and Telemetry
7.5 Lessons Learned: Best Practices and Pitfalls
7.6 Chapter Summary
8. Advanced Topics and Future Directions
8.1 AI and Machine Learning in BMS
8.2 Solid-State and Next-Generation Batteries
8.3 Emerging Standards, Regulations, and Testing Protocols
8.4 Cybersecurity and Over-the-Air Updates for BMS
8.5 Future Challenges and Research Directions
8.6 Chapter Summary
9.
9.1 Recap of Key Technical Insights
9.2 Sustainability Perspectives and Broader Impact
9.3 Opportunities for Multidisciplinary Collaboration
9.4 Resources for Continued Learning
9.5 Closing Thoughts
1.1 Historical Evolution of EVs
1.2 Market Trends and Global Adoption
1.3 Key EV Subsystems (Motor, Inverter, Battery Pack)
1.4 Role of Battery Management Systems in EV Ecosystems
1.5 Environmental and Regulatory Drivers
1.6 Chapter Summary and Preview
2. Fundamentals of Battery Technologies
2.1 Basic Electrochemical Principles
2.2 Lithium-Ion Battery Chemistry
2.3 Alternative Chemistries (NiMH, Lead-Acid, Emerging Solid-State)
2.4 Performance Metrics: Energy Density, Power Density, Cycle Life
2.5 Battery Degradation Mechanisms and Failure Modes
2.6 Chapter Summary
3. Battery Management Systems — Concepts and Architectures
3.1 Core BMS Functions (Monitoring, Protection, Balancing)
3.2 BMS Hardware Components (Sensors, Microcontrollers, Power Electronics)
3.3 Communication Protocols (CAN, LIN, Ethernet) and EV Integration
3.4 Centralized vs. Distributed BMS Architectures
3.5 Standards and Compliance (ISO, SAE, IEC)
3.6 Chapter Summary
4.
4.1 State-of-Charge (SoC) Estimation Techniques
4.2 State-of-Health (SoH) and State-of-Function (SoF) Methods
4.3 Estimation Algorithms: Kalman Filters, Extended Kalman Filters, Neural Networks
4.4 Adaptive Control Strategies and Model Predictive Control
4.5 Sensor Fusion and Data Analytics
4.6 Chapter Summary
5. Thermal Management and Safety
5.1 Sources of Heat Generation in Battery Cells
5.2 Thermal Modeling and Simulation
5.3 Active and Passive Cooling Strategies
5.4 Thermal Runaway Mechanisms and Prevention
5.5 Fault Diagnosis and Safety Protocols
5.6 Chapter Summary
6. Power Electronics in BMS
6.1 DC-DC Converters for Charging and Discharging
6.2 Bidirectional Inverters and Regenerative Braking
6.3 Battery Chargers: On-Board vs. Off-Board
6.4 Interaction with Vehicle Power Distribution Units
6.5 Emerging Trends in Power Electronics (Wide-Bandgap Devices, SiC/GaN)
6.6 Chapter Summary
7. Design and Implementation Case Studies
7.1 Industrial BMS Designs (Passenger Cars, Buses, Logistics Fleets)
7.2 Retrofitting ICE Vehicles into EVs
7.3 Battery Swapping and Wireless Charging Projects
7.4 Fleet Management and Telemetry
7.5 Lessons Learned: Best Practices and Pitfalls
7.6 Chapter Summary
8. Advanced Topics and Future Directions
8.1 AI and Machine Learning in BMS
8.2 Solid-State and Next-Generation Batteries
8.3 Emerging Standards, Regulations, and Testing Protocols
8.4 Cybersecurity and Over-the-Air Updates for BMS
8.5 Future Challenges and Research Directions
8.6 Chapter Summary
9.
9.1 Recap of Key Technical Insights
9.2 Sustainability Perspectives and Broader Impact
9.3 Opportunities for Multidisciplinary Collaboration
9.4 Resources for Continued Learning
9.5 Closing Thoughts
Product details
Product details
- Edition: 1
- Latest edition
- Published: March 1, 2027
- Language: English
About the editors
About the editors
SG
Sanjeev Gautam
Dr Sanjeev Gautam leads an independent research group, the Advanced Functional Materials Lab., at Panjab University, India. He has 25+ years of experience with over 161+ international publications. He completed his PhD (2007) in condensed matter physics at the Centre of Advanced Study in Physics, Panjab University. He worked as a grid-computing administrator for the CMS (LHC) project. Dr Gautam then worked at the Korea Institute of Science and Technology, South Korea (2007–2014). At Panjab University (2014 onwards), he has received international and national grants in the field of nanotechnology sustainable energy, food technology, catalysts, and environmental safety
Affiliations and expertise
Panjab University, IndiaSM
Sanjeev Manhas
Professor Sanjeev Manhas is a Professor in Electronics and Communication Engineering at IIT Roorkee. He earned his Ph.D. from De Montfort University, UK, and M.Tech. from IIT Madras, India. His research focuses on 3D NAND, FeFET, nanoscale DRAM, neuromorphic computing, nanoscale transistors, MEMS energy harvesting, and CMOS reliability.
He has held key administrative roles, including Faculty-in-Charge at TIDES Business Incubator, and Chairman of various research committees at IIT Roorkee. He has led major research projects funded by DST, MeitY, DRDO, and Applied Materials.
Professor Manhas holds patents in semiconductor devices and nanotechnology and actively contributes as an IEEE Senior Member, and journal reviewer, advancing microelectronics and semiconductor research
Affiliations and expertise
Indian Institute of Technology, Roorkee, India