9781630819040 - battery management systems: physics-based methods (3) di plett, gregory l.; trimboli, m. scottus (26 risultati)
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Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK
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Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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EUR 112,95
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Da: Chiron Media, Wallingford, Regno UnitoChiron Media
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Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections
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EUR 106,78
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Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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EUR 115,49
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Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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Da: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
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Hardcover. Condizione: new. Hardcover. This book -- the third and final volume in a series describing battery-management systems shows you how to use physics-based models of battery cells in a computationally efficient way for optimal battery-pack management and control to maximize battery-pack performance and extend life. It co…vers the foundations of electrochemical model-based battery management system while introducing and teaching the state of the art in physics-based methods for battery management. Building upon the content in volumes I and II, the book helps you identify parameter values for physics-based models of a commercial lithium-ion battery cell without requiring cell teardown; shows you how to estimate the internal electrochemical state of all cells in a battery pack in a computationally efficient way during operation using these physics-based models; demonstrates the use the models plus state estimates in a battery management system to optimize fast-charge of battery packs to minimize charge time while also maximizing battery service life; and takes you step-by-step through the use models to optimize the instantaneous power that can be demanded from the battery pack while also maximizing battery service life. The book also demonstrates how to overcome the primary roadblocks to implementing physics-based method for battery management: the computational-complexity roadblock, the parameter-identification roadblock, and the control-optimization roadblock. It also uncovers the fundamental flaw in all present state of art methods and shows you why all BMS based on equivalent-circuit models must be designed with over-conservative assumptions. This is a strong resource for battery engineers, chemists, researchers, and educators who are interested in advanced battery management systems and strategies based on the best available understanding of how battery cells operate. Demonstrates how to use physics-based models of battery cells in a computationally efficient framework for optimal battery-pack management to maximize battery performance and extend life. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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EUR 111,39
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Condizione: As New. Unread book in perfect condition.
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Da: Rarewaves USA, OSWEGO, IL, U.S.A.Rarewaves USA
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EUR 131,01
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Hardback. Condizione: New. This book -- the third and final volume in a series describing battery-management systems - shows you how to use physics-based models of battery cells in a computationally efficient way for optimal battery-pack management and control to maximize battery-pack performance and extend life. It covers the f…oundations of electrochemical model-based battery management system while introducing and teaching the state of the art in physics-based methods for battery management. Building upon the content in volumes I and II, the book helps you identify parameter values for physics-based models of a commercial lithium-ion battery cell without requiring cell teardown; shows you how to estimate the internal electrochemical state of all cells in a battery pack in a computationally efficient way during operation using these physics-based models; demonstrates the use the models plus state estimates in a battery management system to optimize fast-charge of battery packs to minimize charge time while also maximizing battery service life; and takes you step-by-step through the use models to optimize the instantaneous power that can be demanded from the battery pack while also maximizing battery service life. The book also demonstrates how to overcome the primary roadblocks to implementing physics-based method for battery management: the computational-complexity roadblock, the parameter-identification roadblock, and the control-optimization roadblock. It also uncovers the fundamental flaw in all present "state of art" methods and shows you why all BMS based on equivalent-circuit models must be designed with over-conservative assumptions. This is a strong resource for battery engineers, chemists, researchers, and educators who are interested in advanced battery management systems and strategies based on the best available understanding of how battery cells operate.
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Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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EUR 127,77
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Condizione: New. Unabridged edition NO-PA16APR2015-KAP.
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Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrlandaKennys Bookshop and Art Galleries Ltd.
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EUR 118,89
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Condizione: New. 2024. Unabridged. hardcover. . . . . .
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Da: California Books, Miami, FL, U.S.A.California Books
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Da: Speedyhen, Hertfordshire, Regno UnitoSpeedyhen
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Condizione: NEW.
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Da: THE SAINT BOOKSTORE, Southport, Regno UnitoTHE SAINT BOOKSTORE
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EUR 120,15
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Hardback. Condizione: New. New copy - Usually dispatched within 3 working days.
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Da: Rarewaves.com USA, London, LONDO, Regno UnitoRarewaves.com USA
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 145,95
Spedizione gratuitaSpedito da Regno Unito a U.S.A.Quantità: 2 disponibili
Hardback. Condizione: New. This book -- the third and final volume in a series describing battery-management systems - shows you how to use physics-based models of battery cells in a computationally efficient way for optimal battery-pack management and control to maximize battery-pack performance and extend life. It covers the f…oundations of electrochemical model-based battery management system while introducing and teaching the state of the art in physics-based methods for battery management. Building upon the content in volumes I and II, the book helps you identify parameter values for physics-based models of a commercial lithium-ion battery cell without requiring cell teardown; shows you how to estimate the internal electrochemical state of all cells in a battery pack in a computationally efficient way during operation using these physics-based models; demonstrates the use the models plus state estimates in a battery management system to optimize fast-charge of battery packs to minimize charge time while also maximizing battery service life; and takes you step-by-step through the use models to optimize the instantaneous power that can be demanded from the battery pack while also maximizing battery service life. The book also demonstrates how to overcome the primary roadblocks to implementing physics-based method for battery management: the computational-complexity roadblock, the parameter-identification roadblock, and the control-optimization roadblock. It also uncovers the fundamental flaw in all present "state of art" methods and shows you why all BMS based on equivalent-circuit models must be designed with over-conservative assumptions. This is a strong resource for battery engineers, chemists, researchers, and educators who are interested in advanced battery management systems and strategies based on the best available understanding of how battery cells operate.
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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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EUR 132,28
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Condizione: New.
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Da: Kennys Bookstore, Olney, MD, U.S.A.Kennys Bookstore
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EUR 146,12
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Condizione: New. 2024. Unabridged. hardcover. . . . . . Books ship from the US and Ireland.
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Da: Rarewaves USA United, OSWEGO, IL, U.S.A.Rarewaves USA United
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 133,55
EUR 43,26 spedizioneSpedito in U.S.A.Quantità: 2 disponibili
Hardback. Condizione: New. This book -- the third and final volume in a series describing battery-management systems - shows you how to use physics-based models of battery cells in a computationally efficient way for optimal battery-pack management and control to maximize battery-pack performance and extend life. It covers the f…oundations of electrochemical model-based battery management system while introducing and teaching the state of the art in physics-based methods for battery management. Building upon the content in volumes I and II, the book helps you identify parameter values for physics-based models of a commercial lithium-ion battery cell without requiring cell teardown; shows you how to estimate the internal electrochemical state of all cells in a battery pack in a computationally efficient way during operation using these physics-based models; demonstrates the use the models plus state estimates in a battery management system to optimize fast-charge of battery packs to minimize charge time while also maximizing battery service life; and takes you step-by-step through the use models to optimize the instantaneous power that can be demanded from the battery pack while also maximizing battery service life. The book also demonstrates how to overcome the primary roadblocks to implementing physics-based method for battery management: the computational-complexity roadblock, the parameter-identification roadblock, and the control-optimization roadblock. It also uncovers the fundamental flaw in all present "state of art" methods and shows you why all BMS based on equivalent-circuit models must be designed with over-conservative assumptions. This is a strong resource for battery engineers, chemists, researchers, and educators who are interested in advanced battery management systems and strategies based on the best available understanding of how battery cells operate.
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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EUR 117,50
EUR 66,58 spedizioneSpedito da Germania a U.S.A.Quantità: 2 disponibili
Buch. Condizione: Neu. Neuware - Battery Management Systems, Volume III: Physics-Based Methods is the third and final volume in a celebrated series, which demonstrates how to use physics-based models of battery cells in a computationally efficient framework for optimal battery-pack management to maximize battery performance and…extend life. It reviews the foundations of electrochemical models of lithium-ion cells and explains how to incorporate these models in state-of-the-art physics-based methods for battery management. Building upon the content in Volumes I and II, this reference helps identify parameter values for physics-based models of a commercial lithium-ion battery cell without requiring cell teardown; demonstrates how to estimate the internal electrochemical state of all cells in a battery pack in a computationally efficient manner during operation using these models; showcases the models plus state estimates in a battery management system to optimize fast-charge of battery packs to minimize charge time while also maximizing battery service life; and takes a step-by-step approach of reviewing the use of these models to compute the available power that can be demanded from the battery pack while also maximizing battery service life. The approaches presented in this guide overcome the primary roadblocks to implementing physics-based methods for battery management: the computational complexity roadblock, the parameter-identification roadblock, and the control optimization roadblock. By uncovering the internal physical variables of lithium-ion cells, the operation of the battery up to its fundamental performance limits is enabled, instead of requiring the over-conservative design assumptions used in all present state-of-the art methods based on equivalent-circuit models. This is a strong resource for battery engineers, chemists, researchers, and educators who are interested in advanced battery management.
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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 182,61
EUR 17,48 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 2 disponibili
Hardcover. Condizione: Brand New. 380 pages. 11.50x8.75x1.00 inches. In Stock.
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Da: Rarewaves.com UK, London, Regno UnitoRarewaves.com UK
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 137,41
EUR 75,75 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 2 disponibili
Hardback. Condizione: New. This book -- the third and final volume in a series describing battery-management systems - shows you how to use physics-based models of battery cells in a computationally efficient way for optimal battery-pack management and control to maximize battery-pack performance and extend life. It covers the f…oundations of electrochemical model-based battery management system while introducing and teaching the state of the art in physics-based methods for battery management. Building upon the content in volumes I and II, the book helps you identify parameter values for physics-based models of a commercial lithium-ion battery cell without requiring cell teardown; shows you how to estimate the internal electrochemical state of all cells in a battery pack in a computationally efficient way during operation using these physics-based models; demonstrates the use the models plus state estimates in a battery management system to optimize fast-charge of battery packs to minimize charge time while also maximizing battery service life; and takes you step-by-step through the use models to optimize the instantaneous power that can be demanded from the battery pack while also maximizing battery service life. The book also demonstrates how to overcome the primary roadblocks to implementing physics-based method for battery management: the computational-complexity roadblock, the parameter-identification roadblock, and the control-optimization roadblock. It also uncovers the fundamental flaw in all present "state of art" methods and shows you why all BMS based on equivalent-circuit models must be designed with over-conservative assumptions. This is a strong resource for battery engineers, chemists, researchers, and educators who are interested in advanced battery management systems and strategies based on the best available understanding of how battery cells operate.
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Da: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 189,86
EUR 32,01 spedizioneSpedito da Australia a U.S.A.Quantità: 1 disponibili
Hardcover. Condizione: new. Hardcover. This book -- the third and final volume in a series describing battery-management systems shows you how to use physics-based models of battery cells in a computationally efficient way for optimal battery-pack management and control to maximize battery-pack performance and extend life. It co…vers the foundations of electrochemical model-based battery management system while introducing and teaching the state of the art in physics-based methods for battery management. Building upon the content in volumes I and II, the book helps you identify parameter values for physics-based models of a commercial lithium-ion battery cell without requiring cell teardown; shows you how to estimate the internal electrochemical state of all cells in a battery pack in a computationally efficient way during operation using these physics-based models; demonstrates the use the models plus state estimates in a battery management system to optimize fast-charge of battery packs to minimize charge time while also maximizing battery service life; and takes you step-by-step through the use models to optimize the instantaneous power that can be demanded from the battery pack while also maximizing battery service life. The book also demonstrates how to overcome the primary roadblocks to implementing physics-based method for battery management: the computational-complexity roadblock, the parameter-identification roadblock, and the control-optimization roadblock. It also uncovers the fundamental flaw in all present state of art methods and shows you why all BMS based on equivalent-circuit models must be designed with over-conservative assumptions. This is a strong resource for battery engineers, chemists, researchers, and educators who are interested in advanced battery management systems and strategies based on the best available understanding of how battery cells operate. Demonstrates how to use physics-based models of battery cells in a computationally efficient framework for optimal battery-pack management to maximize battery performance and extend life. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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- Print on Demand
Da: THE SAINT BOOKSTORE, Southport, Regno UnitoTHE SAINT BOOKSTORE
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 143,82
EUR 18,66 spedizioneSpedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
Hardback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
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- Print on Demand
Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 165,66
EUR 17,48 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 2 disponibili
Hardcover. Condizione: Brand New. 380 pages. 11.50x8.75x1.00 inches. In Stock. This item is printed on demand.
