Übersicht			Auf mobile öffnen

Lieferstatus:	Vorankündigung
Veröffentlichung:	ANGEKÜNDIGT (September 2026)
Genre:	Naturwissensch., Medizin, Technik
	Artificial Intelligence / Deep Learning / Energy conversion & storage / Energy technology and engineering / Lithium-ion battery / Materials science / modeling methods / SCIENCE / Energy / State Estimation / TECHNOLOGY & ENGINEERING / Materials Science / General mehr...
ISBN:	9780443453472
EAN-Code:	9780443453472
Verlag:	Elsevier
Einband:	Kartoniert
Sprache:	English
Dimensionen:	H 229 mm / B 152 mm / D
Gewicht:	450 gr
Bewertung:	Keine Bewertung vor Veröffentlichung möglich.

Inhalt:

Modelling, Estimation and AI Applications for Lithium-Ion Battery Management Systems is a comprehensive guide to the latest advancements in integrating artificial intelligence with lithium-ion battery technology. The book offers an in-depth exploration of fundamental principles, advanced modeling techniques, and state estimation strategies that are vital for enhancing battery performance, safety, and longevity. The book presents systematic coverage of battery operation, performance testing methods, and application scenarios, providing a solid foundation for understanding current challenges and innovations. Sections delve into core AI algorithms, including machine learning, deep learning, and hybrid approaches, illustrating how they revolutionize battery modeling and health monitoring. Key topics include hybrid modeling methods that combine equivalent circuit models, electrochemical theories, and AI techniques; precise estimation of State of Charge (SOC), State of Health (SOH), and State of Power (SOP); and strategies for joint state estimation to facilitate comprehensive battery management. Practical insights are reinforced with detailed discussions on experimental platform design, validation procedures, and data visualization techniques, bridging theory and real-world engineering.