
The research presented in a poster format, focuses on the environmental impacts of electric traction machines (ETM) used in the electrification of vehicle fleets. While Electric Vehicles (EVs) offer significant benefits in terms of decarbonization, concerns have been raised regarding the environmental effects throughout the lifecycle of ETMs, from resource extraction to end-of-life treatment. In this study, the VUB aims to analyze the environmental impacts of ETMs, with a particular focus on the use of permanent magnets (PM) containing strategic raw materials. The research explores novel recycling processes for PMs, aiming to mitigate environmental impacts associated with their production and disposal. The research methodology employs Life Cycle Assessment (LCA), taking a cradle-to-grave approach to evaluate the environmental footprint of ETMs. Two scenarios will be compared: one with standard end-of-life treatment and the other integrating innovative PM recycling processes. The results of the study are expected to shed light on the potential environmental benefits of circularity strategies in ETM design. Insights gained from this research will inform Maxima’s broader objective of developing more efficient ETMs with reduced reliance on strategic resources.
electrification,, decarbonization, life cycle assesment, end-of-life treatment, sustainable electric traction machines,, permanent magnets, electric vehicles, lifecycle
electrification,, decarbonization, life cycle assesment, end-of-life treatment, sustainable electric traction machines,, permanent magnets, electric vehicles, lifecycle
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
