Idioma: Inglés
Publicado por The Institution of Engineering and Technology, 2022
ISBN 10: 1839535296 ISBN 13: 9781839535291
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 121,00
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Idioma: Inglés
Publicado por Institution of Engineering and Technology, GB, 2022
ISBN 10: 1839535296 ISBN 13: 9781839535291
Librería: Rarewaves USA, OSWEGO, IL, Estados Unidos de America
EUR 123,38
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Añadir al carritoHardback. Condición: New. Batteries are of vital importance for storing intermittent renewable energy for stationary and mobile applications. In order to charge the battery and maintain its capacity, the states of the battery - such as the current charge, safety and health, but also quantities that cannot be measured directly - need to be known to the battery management system. State estimation estimates the electrical state of a system by eliminating inaccuracies and errors from measurement data. Numerous methods and techniques are used for lithium-ion and other batteries. The various battery models seek to simplify the circuitry used in the battery management system. This concise work captures the methods and techniques for state estimation needed to keep batteries reliable. The book focuses particularly on mechanisms, parameters and influencing factors. Chapters convey equivalent modelling and several Kalman filtering techniques, including adaptive extended Kalman filtering for multiple battery state estimation, dual extended Kalman filtering prediction for complex working conditions, and particle filtering of safety estimation considering the capacity fading effect. This book is necessary reading for researchers in battery research and development, including battery management systems and related power electronics, for battery manufacturers, and for advanced students in power electronics.
Idioma: Inglés
Publicado por The Institution of Engineering and Technology, 2022
ISBN 10: 1839535296 ISBN 13: 9781839535291
Librería: California Books, Miami, FL, Estados Unidos de America
EUR 126,07
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Idioma: Inglés
Publicado por The Institution of Engineering and Technology, 2022
ISBN 10: 1839535296 ISBN 13: 9781839535291
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 133,92
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Idioma: Inglés
Publicado por The Institution of Engineering and Technology, 2022
ISBN 10: 1839535296 ISBN 13: 9781839535291
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 134,35
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Idioma: Inglés
Publicado por The Institution of Engineering and Technology, 2022
ISBN 10: 1839535296 ISBN 13: 9781839535291
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 140,67
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Idioma: Inglés
Publicado por The Institution of Engineering and Technology, 2022
ISBN 10: 1839535296 ISBN 13: 9781839535291
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 148,35
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Idioma: Inglés
Publicado por Institution of Engineering and Technology, GB, 2022
ISBN 10: 1839535296 ISBN 13: 9781839535291
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
EUR 174,19
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Añadir al carritoHardback. Condición: New. Batteries are of vital importance for storing intermittent renewable energy for stationary and mobile applications. In order to charge the battery and maintain its capacity, the states of the battery - such as the current charge, safety and health, but also quantities that cannot be measured directly - need to be known to the battery management system. State estimation estimates the electrical state of a system by eliminating inaccuracies and errors from measurement data. Numerous methods and techniques are used for lithium-ion and other batteries. The various battery models seek to simplify the circuitry used in the battery management system. This concise work captures the methods and techniques for state estimation needed to keep batteries reliable. The book focuses particularly on mechanisms, parameters and influencing factors. Chapters convey equivalent modelling and several Kalman filtering techniques, including adaptive extended Kalman filtering for multiple battery state estimation, dual extended Kalman filtering prediction for complex working conditions, and particle filtering of safety estimation considering the capacity fading effect. This book is necessary reading for researchers in battery research and development, including battery management systems and related power electronics, for battery manufacturers, and for advanced students in power electronics.
Idioma: Inglés
Publicado por Institution of Engineering and Technology, GB, 2022
ISBN 10: 1839535296 ISBN 13: 9781839535291
Librería: Rarewaves USA United, OSWEGO, IL, Estados Unidos de America
EUR 134,36
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Añadir al carritoHardback. Condición: New. Batteries are of vital importance for storing intermittent renewable energy for stationary and mobile applications. In order to charge the battery and maintain its capacity, the states of the battery - such as the current charge, safety and health, but also quantities that cannot be measured directly - need to be known to the battery management system. State estimation estimates the electrical state of a system by eliminating inaccuracies and errors from measurement data. Numerous methods and techniques are used for lithium-ion and other batteries. The various battery models seek to simplify the circuitry used in the battery management system. This concise work captures the methods and techniques for state estimation needed to keep batteries reliable. The book focuses particularly on mechanisms, parameters and influencing factors. Chapters convey equivalent modelling and several Kalman filtering techniques, including adaptive extended Kalman filtering for multiple battery state estimation, dual extended Kalman filtering prediction for complex working conditions, and particle filtering of safety estimation considering the capacity fading effect. This book is necessary reading for researchers in battery research and development, including battery management systems and related power electronics, for battery manufacturers, and for advanced students in power electronics.
Idioma: Inglés
Publicado por Inst of Engineering & Technology, 2022
ISBN 10: 1839535296 ISBN 13: 9781839535291
Librería: Revaluation Books, Exeter, Reino Unido
EUR 165,84
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Añadir al carritoHardcover. Condición: Brand New. 274 pages. 9.25x6.25x0.75 inches. In Stock.
Idioma: Inglés
Publicado por INSTITUTION OF ENGINEERING & T, 2022
ISBN 10: 1839535296 ISBN 13: 9781839535291
Librería: moluna, Greven, Alemania
EUR 161,20
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Añadir al carritoCondición: New. KlappentextBatteries are vital for storing renewable energy for stationary and mobile applications. Managing batteries requires knowledge of parameters such as charge and power output. State estimation estimates such parameters using .
Idioma: Inglés
Publicado por Institution of Engineering and Technology, GB, 2022
ISBN 10: 1839535296 ISBN 13: 9781839535291
Librería: Rarewaves.com UK, London, Reino Unido
EUR 164,03
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Añadir al carritoHardback. Condición: New. Batteries are of vital importance for storing intermittent renewable energy for stationary and mobile applications. In order to charge the battery and maintain its capacity, the states of the battery - such as the current charge, safety and health, but also quantities that cannot be measured directly - need to be known to the battery management system. State estimation estimates the electrical state of a system by eliminating inaccuracies and errors from measurement data. Numerous methods and techniques are used for lithium-ion and other batteries. The various battery models seek to simplify the circuitry used in the battery management system. This concise work captures the methods and techniques for state estimation needed to keep batteries reliable. The book focuses particularly on mechanisms, parameters and influencing factors. Chapters convey equivalent modelling and several Kalman filtering techniques, including adaptive extended Kalman filtering for multiple battery state estimation, dual extended Kalman filtering prediction for complex working conditions, and particle filtering of safety estimation considering the capacity fading effect. This book is necessary reading for researchers in battery research and development, including battery management systems and related power electronics, for battery manufacturers, and for advanced students in power electronics.
Idioma: Inglés
Publicado por Institution of Engineering and Technology, 2022
ISBN 10: 1839535296 ISBN 13: 9781839535291
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
EUR 150,86
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Añadir al carritoHRD. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Idioma: Inglés
Publicado por Institution of Engineering and Technology, 2022
ISBN 10: 1839535296 ISBN 13: 9781839535291
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de America
EUR 154,52
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Añadir al carritoHRD. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Idioma: Inglés
Publicado por Institution of Engineering and Technology, 2022
ISBN 10: 1839535296 ISBN 13: 9781839535291
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 154,70
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Añadir al carritoHardback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.