A Review of Computational Methods and Tools for Life Cycle Assessment of Traction Battery Systems

Life Cycle Assessment (LCA) is crucial for evaluating the environmental impact of products, but challenges such as uncertainties and data limitations hinder its effective use in design. This paper reviews LCA computational tools, focusing on traction batteries, and examines aspects such as software architecture, database integration, and uncertainty analysis. It highlights how these platforms enhance usability for designers by enabling interaction with complex models and integrating multidisciplinary features. By analyzing system boundaries, inventory criteria, and impact assessment, this review offers valuable insights for researchers, practitioners, and policymakers in LCA, addressing the implementation challenges and best practices for sustainable battery design.