Life cycle assessment of electric traction induction machines
Journal article, 2026
Materials and methods Three IM variants are evaluated: one with copper (Cu) stator windings and Cu rotor bars, one with Cu stator windings and aluminum (Al) rotor bars, and one with Al stator windings and Al rotor bars. Beyond a baseline setup, the study also explores strategies to reduce GHGs, including using green virgin Al and enhancing the material utilization rate during the punching process for electrical steel sheets, referred to as a "green manufacturing" route. Furthermore, a sensitiv-ity analysis of GHGs on magnet production is also conducted.
Results and discussion The results show that the PMSM causes the least greenhouse gas (GHG) emissions due to its higher power density and efficiency. In contrast, the IMs with Al conductors exhibit lower environmental impacts in the categories of toxicity and acidification compared to those with (more) copper. The sensitivity analysis shows that IMs have the poten-tial to display lower carbon footprints than PMSMs under favorable conditions. The research highlights the environmental trade-offs in e-machine design for EVs.
Conclusions The study underscores the need for a sustainable perspective on e-machine materials and manufacturing processes. It demonstrates that REE-free IMs, particularly when paired with green manufacturing strategies, can be competitive alternatives to PMSMs in terms of environmental performance, depending on design and production choice
Rare-earth-element-free
Life cycle assessment (LCA)
Induction machine (IM)
Electrification
Electric vehicle
Author
Meng-Ju Hsieh
Chalmers, Electrical Engineering, Electric Power Engineering
Anders Nordelöf
Chalmers, Technology Management and Economics, Environmental Systems Analysis
Emma Grunditz
Chalmers, Electrical Engineering, Electric Power Engineering
Torbjörn Thiringer
Chalmers, Electrical Engineering, Electric Power Engineering
International Journal of Life Cycle Assessment
0948-3349 (ISSN) 1614-7502 (eISSN)
Vol. 31 1-3 16Subject Categories (SSIF 2025)
Other Electrical Engineering, Electronic Engineering, Information Engineering
Environmental Management
DOI
10.1007/s11367-026-02610-7