Battery System Modeling
Autor Shunli Wang, Carlos Fernandez, Yu Chunmei, Yongcun Fan, Cao Wen, Daniel-Ioan Stroe, Zonghai Chenen Limba Engleză Paperback – 25 iun 2021
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.
- Explains how to model battery systems, including equivalent, electrical circuit and electrochemical nernst modeling
- Includes comprehensive coverage of battery state estimation methods, including state of charge estimation, energy prediction, power evaluation and health estimation
- Provides a dedicated chapter on active control strategies
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Specificații
ISBN-13: 9780323904728
ISBN-10: 0323904726
Pagini: 354
Ilustrații: Approx. 110 illustrations
Dimensiuni: 191 x 235 x 22 mm
Greutate: 0.61 kg
Editura: ELSEVIER SCIENCE
ISBN-10: 0323904726
Pagini: 354
Ilustrații: Approx. 110 illustrations
Dimensiuni: 191 x 235 x 22 mm
Greutate: 0.61 kg
Editura: ELSEVIER SCIENCE
Cuprins
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
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