State Estimation Strategies in Lithium-ion Battery Management Systems
Description:
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, R&D professionals, and other industry personnel.
Best prices to buy, sell, or rent ISBN 9780443161605
Frequently Asked Questions about State Estimation Strategies in Lithium-ion Battery Management Systems
The price for the book starts from $164.70 on Amazon and is available from 23 sellers at the moment.
If you’re interested in selling back the State Estimation Strategies in Lithium-ion Battery Management Systems book, you can always look up BookScouter for the best deal. BookScouter checks 30+ buyback vendors with a single search and gives you actual information on buyback pricing instantly.
As for the State Estimation Strategies in Lithium-ion Battery Management Systems book, the best buyback offer comes from and is $ for the book in good condition.
The State Estimation Strategies in Lithium-ion Battery Management Systems book is in very low demand now as the rank for the book is 4,122,115 at the moment. A rank of 1,000,000 means the last copy sold approximately a month ago.
Not enough insights yet.