Wang, Shunli, PhD (Southwest University of Science and C Technology, Carlos Fernandez (Robert Gordon University, Aberdeen, UK), Yu Chunmei (Southwest University School of Information Engineering

Battery System Modeling

• Broschiertes Buch

Produktbeschreibung

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.

Produktdetails

• Verlag: Elsevier - Health Sciences Division
• Seitenzahl: 354
• Erscheinungstermin: 25. Juni 2021
• Englisch
• Abmessung: 201mm x 231mm x 22mm
• Gewicht: 714g
• ISBN-13: 9780323904728
• ISBN-10: 0323904726
• Artikelnr.: 61260119

Autorenporträt

Shunli Wang is a professor at the Southwest University of Science and Technology, China. He is an authoritative expert in the field of new energy research. He is the head of DTlab, modeling, and state estimation strategy research for lithium-ion batteries. He has undertaken more than 40 projects and 30 patents, published more than 100 research papers as well as won 20 awards such as the Young Scholar, and Science & Technology Progress Awards.

Inhaltsangabe

1. Li
ion Battery Characteristics and Applications 2. Electrical Equivalent Circuit Modeling 3. Electrochemical Nernst Modeling 4. Battery State Estimation Methods 5. Battery State
of
charge Estimation Methods 6. Battery State
of
energy Prediction Methods 7. Battery State
of
power Evaluation Methods 8. Battery State
of
health Estimation Methods 9. Battery System Active Control Strategies