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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.
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. 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
| Erscheinungsjahr: | 2021 |
|---|---|
| Fachbereich: | Atomphysik & Kernphysik |
| Genre: | Physik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Seiten: | 354 |
| Inhalt: | Kartoniert / Broschiert |
| ISBN-13: | 9780323904728 |
| ISBN-10: | 0323904726 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: |
Wang, Shunli (Department of Energy Technology, Aalborg University, Denmark)
Fernandez, Carlos (Robert Gordon University, Aberdeen, UK) Chunmei, Yu (School of Information Engineering, Southwest University of Science and Technology, China) Fan, Yongcun (School of Information Engineering, Southwest University of Science and Technology, China) Wen, Cao (School of Information Engineering, Southwest University of Science and Technology, China) Stroe, Daniel-Ioan (Department of Energy Technology, Aalborg University, Denmark Department of Energy Technology, Aalborg University, Denmark) Chen, Zonghai (Department of Automation, University of Science and Technology of China, China) |
| Hersteller: | Elsevier - Health Sciences Division |
| Abbildungen: | Approx. 110 illustrations; Illustrations, unspecified |
| Maße: | 201 x 231 x 22 mm |
| Von/Mit: | Shunli Wang (u. a.) |
| Erscheinungsdatum: | 25.06.2021 |
| Gewicht: | 0,714 kg |
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
| Erscheinungsjahr: | 2021 |
|---|---|
| Fachbereich: | Atomphysik & Kernphysik |
| Genre: | Physik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Seiten: | 354 |
| Inhalt: | Kartoniert / Broschiert |
| ISBN-13: | 9780323904728 |
| ISBN-10: | 0323904726 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: |
Wang, Shunli (Department of Energy Technology, Aalborg University, Denmark)
Fernandez, Carlos (Robert Gordon University, Aberdeen, UK) Chunmei, Yu (School of Information Engineering, Southwest University of Science and Technology, China) Fan, Yongcun (School of Information Engineering, Southwest University of Science and Technology, China) Wen, Cao (School of Information Engineering, Southwest University of Science and Technology, China) Stroe, Daniel-Ioan (Department of Energy Technology, Aalborg University, Denmark Department of Energy Technology, Aalborg University, Denmark) Chen, Zonghai (Department of Automation, University of Science and Technology of China, China) |
| Hersteller: | Elsevier - Health Sciences Division |
| Abbildungen: | Approx. 110 illustrations; Illustrations, unspecified |
| Maße: | 201 x 231 x 22 mm |
| Von/Mit: | Shunli Wang (u. a.) |
| Erscheinungsdatum: | 25.06.2021 |
| Gewicht: | 0,714 kg |
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