Gregory plett (19 Ergebnisse)

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New. In English.

Zustand: NEW.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages.

Zustand: New. 2024. Unabridged. hardcover. . . . . . Books ship from the US and Ireland.

Zustand: New. In English.

Zustand: NEW.

Zustand: New. In English.

Hardcover. Zustand: Brand New. 380 pages. 11.50x8.75x1.00 inches. In Stock.

Zustand: New. This first of its kind new resource focuses on developing a mathematical understanding of how electrochemical (battery) cells work, both internally and externally.KlappentextrnrnThis first of its kind new resource focuses on developing a mat.

Zustand: New. This first of its kind new resource focuses on developing a mathematical understanding of how electrochemical (battery) cells work, both internally and externally. Num Pages: 346 pages. BIC Classification: THRH; TJF. Category: (P) Professional & Vocational. Dimension: 225 x 298 x 27. Weight in Grams: 1188. . 2015. Hardcover. . . . . Books ship from the US and Ireland. …

Buch. Zustand: 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.…

Hardcover. Zustand: Brand New. 327 pages. 11.00x8.50x1.00 inches. In Stock.

Zustand: New. pp. 346.

Zustand: New. This second volume discusses state-of-the-art applications of equivalent-circuit models as they pertain to solving problems in battery management and control. Readers are provided information on how to use models from Volume I to control battery packs, alon.

Zustand: New. pp. 336.

Buch. Zustand: Neu. Neuware - This comprehensive resource derives physics-based microscale model equations,then continuum-scale model equations, and finally reduced-order model equations.This book describes the commonly used equivalent-circuit-type battery modeland develops equations for superior physics-based models of lithium-ion cells atdifferent length scales.This book presents a breakthrough technology called the discrete-time realizationalgorithm that automatically converts physics-based models into high-fidelityapproximate reduced-order models. These reduced-order models have similarcomputational complexity to equivalent-circuit-type models, but can also predictelectrochemical variables at any spatial location inside the cell.…

Hardcover. Zustand: Neu. Neu Neuware, Importqualität, auf Lager - State-Of-The-Art applications of equivalent-circuit methods as they pertain to solving problems in battery management and control.