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Definition and reference framework for life cycle technologies in life cycle engineering

A case study on all solid state traction batteries
: Dilger, Nikolas; Kaluza, Alexander; Kiesewetter, Almut; Cerdas, Felipe; Blume, Stefan; Zellmer, Sabrina; Herrmann, Christoph

Volltext ()

Procedia CIRP 98 (2021), S.217-222
ISSN: 2212-8271
Conference on Life Cycle Engineering (LCE) <28, 2021, Online>
Zeitschriftenaufsatz, Konferenzbeitrag, Elektronische Publikation
Fraunhofer IST ()
traction batteries; life cycle performance; life cycle technologies; all solid state batteries

Life cycle engineering (LCE) methods are essential in the development of next generation energy storage systems in order to avoid harmful unintended environmental consequences. Moreover, the integration of life cycle knowledge early in the development stage of such technologies can lead to improved performance in regard to their environmental impact. Extensive information from all stages is needed to understand interdependencies along the life cycle, e.g. between required raw materials, applied processing parameters and lifetime behaviour of the battery. From an LCE perspective, the development of detailed and representative inventories for the assessment of traction batteries is a time and resource intensive process, which requires a difficult synchronization with product development activities. A cyber and physical integration of Life Cycle Technologies in a product system offers the potential to reduce data collection efforts while enhancing its robustness and reliability. Life Cycle Technologies can refer to any product- or process- integrated data acquisition technology, e.g. sensors, which can be leveraged to provide knowledge about a product’s life cycle performance. In this paper, we introduce the concept of Life Cycle Technologies and their potential to maximize the functionality of traction batteries while reducing their life cycle environmental impact. Furthermore, we present a reference architecture aiming at the development and integration of such technologies. Finally, we illustrate its application in a case study of All Solid State Batteries and discuss its usability in the development of new generation battery systems.