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Theo Hofman

4 papers indexed

arxiveess.SY2026-07-13

Geometric Scaling of Battery Cells and Its Effect on Key Performance Indicators

Tim de Krijger, Jorn van Kampen, Mouhriz Boulghalgh, Theo Hofman

This paper presents a computationally lightweight scaling model for cylindrical lithium-ion battery cells, intended for early-stage battery design-space exploration. The model maps selected geometric and electrode-level design variables, including cell height, cell diameter, cath…

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arxivcs.CEcs.CGeess.SYmath.NA2026-07-07

A Decomposition-Based Framework for Joint Optimization and Spatial Packaging of Interconnected Systems with Physical Interactions

Julian Bückmann, Jorn van Kampen, Theo Hofman

This paper presents an approach and application of optimization of spatial packaging of interconnected systems with physical interactions (SPI2) in three-dimensional component placement problems. To enable its application for an automotive use case, SPI2 must support both initial…

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arxivcs.AIcs.ARcs.CEeess.SY2026-07-07

Auto-DSM Under the Lens: A Black-Box Evaluation Framework for LLM-Based DSM Generation

Niels Potters, Theo Hofman

This paper presents a black-box evaluation framework to systematically assess the ability of Large Language Models (LLMs) to generate Design Structure Matrices (DSMs) from structured technical documentation. Motivated by the closed-source nature of current Auto-DSM pipelines, the…

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arxivcs.AIcs.ARcs.CEcs.ETcs.RO2026-06-26

AI-Driven Synthesis for High-Tech System Design: Automating Innovation

Luuk Oerlemans, Steven Westerhof, Theo Hofman

This article addresses the combinatorial complexity inherent in modern high-tech system design by presenting automation-in-design (AiD) as a transformative paradigm. We propose computational design synthesis (CDS), a framework utilising deep learning and generative AI to automate…

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