Battery System Modeling - Shunli Wang,Daniel-Ioan Stroe,Cao Wen,Carlos Fernandez,Zonghai Chen,Yu Chunmei,Yongcun Fan
-25% koodilla BOOKS
Toimitus 31-37 arkipäivässä
30 päivän palautusoikeus
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 to ... Täydellinen kuvaus
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Kuvaus
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.
Lisätietoja
| Kirjoittaja | Shunli Wang, Daniel-Ioan Stroe, Cao Wen, Carlos Fernandez, Zonghai Chen, Yu Chunmei, Yongcun Fan |
|---|---|
| Julkaisija | Elsevier - Health Sciences Division |
| Julkaisuvuosi | 2021 |
| Kannen tyyppi | Pehmeäkantinen |
| EAN | 9780323904728 |