Battery System Modeling provides advances on the modeling of lithium-ion batteries. Offering step-by-step explanations, the book systematically guides the reader through the modeling of state of charge estimation, energy prediction, power evaluation, health estimation, and active control strategies. Using applications alongside practical case studies, each chapter shows the reader how to use the modeling tools provided. Moreover, the chemistry and characteristics are described in detail, with algorithms provided in every chapter. Providing a technical reference on the design and application of Li-ion battery management systems, this book is an ideal reference for researchers involved in batteries and energy storage.
Moreover, the step-by-step guidance and comprehensive introduction to the topic makes it accessible to audiences of all levels, from experienced engineers to graduates.
1. Battery System Modeling - p. Page i 2. Cover - p. Page i 3. Front Matter - p. Page i 4. Table of Contents - p. Page iii 5. Copyright - p. Page iv 6. List of Illustrations - p. Page v 7. List of Tables - p. Page vi 8. Chapter 1 : Lithium-ion battery characteristics and applications - p. Page vi 9. Chapter 2 : Electrical equivalent circuit modeling - p. Page 44 10. Chapter 3 : Electrochemical Nernst modeling - p. Page 92 11. Chapter 4 : Battery state estimation methods - p. Page 123 12. Chapter 5 : Battery state-of-charge estimation methods - p. Page 154 13. Chapter 6 : Battery state-of-energy prediction methods - p. Page 196 14. Chapter 7 : Battery state-of-power evaluation methods - p. Page 224 15. Chapter 8 : Battery state-of-health estimation methods - p. Page 252 16. Chapter 9 : Battery system active control strategies - p. Page 305 17. Index - p. Page 338
Battery System Modeling provides advances on the modeling of lithium-ion batteries. Offering step-by-step explanations, the book systematically guides the reader through the modeling of state of charge estimation, energy prediction, power evaluation, health estimation, and active control strategies. Using applications alongside practical case studies, each chapter shows the reader how to use the modeling tools provided. Moreover, the chemistry and characteristics are described in detail, with algorithms provided in every chapter. Providing a technical reference on the design and application of Li-ion battery management systems, this book is an ideal reference for researchers involved in batteries and energy storage.
Moreover, the step-by-step guidance and comprehensive introduction to the topic makes it accessible to audiences of all levels, from experienced engineers to graduates.
1. Battery System Modeling - p. Page i 2. Cover - p. Page i 3. Front Matter - p. Page i 4. Table of Contents - p. Page iii 5. Copyright - p. Page iv 6. List of Illustrations - p. Page v 7. List of Tables - p. Page vi 8. Chapter 1 : Lithium-ion battery characteristics and applications - p. Page vi 9. Chapter 2 : Electrical equivalent circuit modeling - p. Page 44 10. Chapter 3 : Electrochemical Nernst modeling - p. Page 92 11. Chapter 4 : Battery state estimation methods - p. Page 123 12. Chapter 5 : Battery state-of-charge estimation methods - p. Page 154 13. Chapter 6 : Battery state-of-energy prediction methods - p. Page 196 14. Chapter 7 : Battery state-of-power evaluation methods - p. Page 224 15. Chapter 8 : Battery state-of-health estimation methods - p. Page 252 16. Chapter 9 : Battery system active control strategies - p. Page 305 17. Index - p. Page 338
