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Long-Term Health State Estimation of Energy Storage Lithium-Ion Battery Packs

By (author) Qi Huang, By (author) Shunli Wang, By (author) Zonghai Chen, By (author) Ran Xiong, By (author) Carlos Fernandez, By (author) Daniel-I. Stroe

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This book investigates in detail long-term health state estimation technology of energy storage systems, assessing its potential use to replace common filtering methods that constructs by equivalent circuit model with a data-driven method combined with electrochemical modeling, which can reflect the battery internal characteristics, the battery degradation modes, and the battery pack health state. Studies on long-term health state estimation have attracted engineers and scientists from various disciplines, such as electrical engineering, materials, automation, energy, and chemical engineering. Pursuing a holistic approach, the book establishes a fundamental framework for this topic, while emphasizing the importance of extraction for health indicators and the significant influence of electrochemical modeling and data-driven issues in the design and optimization of health state estimation in energy storage systems. The book is intended for undergraduate and graduate students who are interested in new energy measurement and control technology, researchers investigating energy storage systems, and structure/circuit design engineers working on energy storage cell and pack.

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Fifteen Dogs

AndrÃ© Alexis
Paperback / softback
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was: R 315.95
now: R 283.95
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The Ballerina and the Bull: Anarchist Utopias in the Age of Finance

Johanna Isaacson
Paperback / softback
288 pages
was: R 321.95
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The Memory Collectors: A Novel

Dete Meserve
Paperback / softback
320 pages

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