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Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
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Vendeur : moluna, Greven, Allemagne
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Ajouter au panierEtat : New. Über den AutorShunli 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 strate.
Edité par Elsevier - Health Sciences Division, US, 2023
ISBN 10 : 0443161607 ISBN 13 : 9780443161605
Langue: anglais
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EUR 228,81
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Ajouter au panierPaperback. Etat : New. State Estimation Strategies in Lithium-ion Battery Management Systems presents key technologies and methodologies in modeling and monitoring charge, energy, power and health of lithium-ion batteries. Sections introduce core state parameters of the lithium-ion battery, reviewing existing research and the significance of the prediction of core state parameters of the lithium-ion battery and analyzing the advantages and disadvantages of prediction methods of core state parameters. Characteristic analysis and aging characteristics are then discussed. Subsequent chapters elaborate, in detail, on modeling and parameter identification methods and advanced estimation techniques in different application scenarios. Offering a systematic approach supported by examples, process diagrams, flowcharts, algorithms, and other visual elements, this book is of interest to researchers, advanced students and scientists in energy storage, control, automation, electrical engineering, power systems, materials science and chemical engineering, as well as to engineers, RandD professionals, and other industry personnel.
Edité par Elsevier - Health Sciences Division, US, 2023
ISBN 10 : 0443161607 ISBN 13 : 9780443161605
Langue: anglais
Vendeur : Rarewaves USA United, OSWEGO, IL, Etats-Unis
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Ajouter au panierPaperback. Etat : New. State Estimation Strategies in Lithium-ion Battery Management Systems presents key technologies and methodologies in modeling and monitoring charge, energy, power and health of lithium-ion batteries. Sections introduce core state parameters of the lithium-ion battery, reviewing existing research and the significance of the prediction of core state parameters of the lithium-ion battery and analyzing the advantages and disadvantages of prediction methods of core state parameters. Characteristic analysis and aging characteristics are then discussed. Subsequent chapters elaborate, in detail, on modeling and parameter identification methods and advanced estimation techniques in different application scenarios. Offering a systematic approach supported by examples, process diagrams, flowcharts, algorithms, and other visual elements, this book is of interest to researchers, advanced students and scientists in energy storage, control, automation, electrical engineering, power systems, materials science and chemical engineering, as well as to engineers, RandD professionals, and other industry personnel.
Edité par Elsevier - Health Sciences Division, US, 2023
ISBN 10 : 0443161607 ISBN 13 : 9780443161605
Langue: anglais
Vendeur : Rarewaves.com UK, London, Royaume-Uni
EUR 239,81
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Ajouter au panierPaperback. Etat : New. State Estimation Strategies in Lithium-ion Battery Management Systems presents key technologies and methodologies in modeling and monitoring charge, energy, power and health of lithium-ion batteries. Sections introduce core state parameters of the lithium-ion battery, reviewing existing research and the significance of the prediction of core state parameters of the lithium-ion battery and analyzing the advantages and disadvantages of prediction methods of core state parameters. Characteristic analysis and aging characteristics are then discussed. Subsequent chapters elaborate, in detail, on modeling and parameter identification methods and advanced estimation techniques in different application scenarios. Offering a systematic approach supported by examples, process diagrams, flowcharts, algorithms, and other visual elements, this book is of interest to researchers, advanced students and scientists in energy storage, control, automation, electrical engineering, power systems, materials science and chemical engineering, as well as to engineers, RandD professionals, and other industry personnel.
Edité par Elsevier - Health Sciences Division, US, 2023
ISBN 10 : 0443161607 ISBN 13 : 9780443161605
Langue: anglais
Vendeur : Rarewaves.com USA, London, LONDO, Royaume-Uni
EUR 256,88
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Ajouter au panierPaperback. Etat : New. State Estimation Strategies in Lithium-ion Battery Management Systems presents key technologies and methodologies in modeling and monitoring charge, energy, power and health of lithium-ion batteries. Sections introduce core state parameters of the lithium-ion battery, reviewing existing research and the significance of the prediction of core state parameters of the lithium-ion battery and analyzing the advantages and disadvantages of prediction methods of core state parameters. Characteristic analysis and aging characteristics are then discussed. Subsequent chapters elaborate, in detail, on modeling and parameter identification methods and advanced estimation techniques in different application scenarios. Offering a systematic approach supported by examples, process diagrams, flowcharts, algorithms, and other visual elements, this book is of interest to researchers, advanced students and scientists in energy storage, control, automation, electrical engineering, power systems, materials science and chemical engineering, as well as to engineers, RandD professionals, and other industry personnel.
Vendeur : Revaluation Books, Exeter, Royaume-Uni
EUR 178,68
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Ajouter au panierPaperback. Etat : Brand New. 376 pages. 8.94x6.02x0.94 inches. In Stock. This item is printed on demand.