Integrated Computational Life Cycle Engineering for Traction Batteries / by Felipe Cerdas.
By: Cerdas, Felipe., author.
Series: (Sustainable Production Life Cycle Engineering and Management, 2194-055X).Publisher: Cham : Springer International Publishing, 2022Edition: 1st edition 2022.Description: 1 recurso en línea (XVI, 192 páginas) : 18 ilustraciones.ISBN: 9783030829346.Online resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)
| Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|
LIBRO-E NO PRÉSTAMO
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Madrid Digital Acceso Electrónico (UEM) | TL220 2022 EB (Browse shelf(Opens below)) | Acceso electrónico | eBook.09012239 |
Background and context -- LCE and electromobility -- State of Research -- Concept Development -- Exemplary application -- Summary, critical review and outlook. .
The environmental burden caused by private transportation represents a significant challenge towards sustainability. Electric vehicles are considered a key technology to reduce the environmental impact caused by the mobility sector. However, the global adoption of electromobility implies shift and diversification of the environmental impacts caused by the transportation sector mainly driven by the production of the battery system. Modeling the life cycle environmental impacts of traction batteries is a time demanding and interdisciplinary task as it involves a high variability and requires an in-depth knowledge of the product system under analysis. To face these challenges, an Integrated Computational Life Cycle Engineering ICLCE framework for EVs has been developed. The ICLCE framework described aims at supporting fast and comprehensive modelling of complex foreground systems in the electromobility field and their interaction with diverse backgrounds and partial contexts.
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