Advances in electrochemical models for predicting the cycling performance of traction batteries: experimental study on Ni-MH and simulation (Record no. 171725)

MARC details
000 -LEADER
fixed length control field 01838nab a2200205 4500
008 - CÓDIGOS DE INFORMACIÓN DE LONGITUD FIJA - INFORMACIÓN GENERAL
Campo de control de longitud fija 260224s2010 xxu
245 00 - TITULO
Título Advances in electrochemical models for predicting the cycling performance of traction batteries: experimental study on Ni-MH and simulation
260 ## - PUBLICACION, DISTRIBUCION, ETC
Lugar de publicación, distribución, etc.
Nombre de publicador, distribuidor, etc.
Fecha de publicación, distribución, etc. ene./feb. 2010
270 ## - FECHA DE CARGA
Fecha de carga 05/07/2010 ; 05/07/2010
300 ## - DESCRIPCION FISICA
Otra extensión 12 p. ; 55-66
520 ## - RESUMEN, ETC
Resumen Transcripción del resumen del autor. Rigorous electrochemical models to simulate the cycling performance of batteries have been successfully developed and reported in the literature. They constitute a very promising approach for State-of-Charge (SoC) estimation based on the physics of the cell with regards to other methods since SoC is an internal parameter of these physical models. However, the computational time needed to solve electrochemical battery models for online applications requires to develop a simplified physics-based battery model. In this work, our goal is to present and validate an advanced 0D-electrochemical model of a Ni-MH cell, as an example. This lumped-parameter model will be used to design an extended Kalman filter to predict the SoC of a Ni-MH pack. It is presented, followed by an extensive experimental study conducted on Ni-MH cells to better understand the mechanisms of physico-chemical phenomena occurring at both electrodes and support the model development. The last part of the paper focuses on the evaluation of the model with regards to experimental results obtained on Ni-MH sealed cells but also on the related commercial HEV battery pack.
581 ## - ESTADO DE COLECCIÓN
Estado de colección 1
773 0# - CORRECCIÓN
Título Oil and Gas Science and Technology
Partes relacionadas 65
942 ## - DESC. DE MATERIAL
Tipo de item KOHA Artículo de Revista
100 1# - RESPONSABLE PERSONAL
Apellido, Nombre Bernard, J.
9 (RLIN) 43441
100 1# - RESPONSABLE PERSONAL
Apellido, Nombre Sciarretta, A.
9 (RLIN) 43442
100 1# - RESPONSABLE PERSONAL
Apellido, Nombre Touzani, Y.
9 (RLIN) 43443
Holdings
Biblioteca propietaria Biblioteca actual Fecha de adquisición Inventario Total de préstamos Inventario Fecha de carga Tipo de item KOHA
Biblioteca Alejandro Angel Bulgheroni Biblioteca Alejandro Angel Bulgheroni 05/03/2026 200046593   200046593 05/03/2026 Artículo de Revista


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