Product architecting involves conceptual system design, module identification (clustering) and product layout design. In this paper, we propose a new extended version of the previously introduced Integrated Modularization Methodology (IMM) that integrates technical complexity and business strategic concerns into product architecture clustering. The extended IMM (eIMM) adds physical interference and implementation dependent behavior into architecture clustering. The proposed method is logically verified by an industrial case, where the architecture of a presently developed battery electric truck is used as a test bench for studying if and how the product architecture DSM and eIMM approaches may enable us to identify module candidates that are reasonable trade-offs between technical complexity, business strategies and physical interferences. The case study indicates that the eIMM is able to propose a modular product architecture with reasonable module candidates from a technical complexity point of view, and without conflicting business strategies or intra-modular physical interferences.