How 3D diagnostics unveil efficiency in data-driven troubleshooting[DE]
Overcome automotive software complexity with SPREAD’s 3D Diagnostics—visualize ECU connections, pinpoint failures, and automate compliance. Watch now!
The wiring harness is often referred to as the central nervous system of a vehicle, responsible for ensuring seamless communication between electronic control units (ECUs), sensors, and actuators. As software-defined vehicle architectures become more advanced, physical layer designers face growing pressure to reduce weight, standardize designs, and ensure regulatory compliance—all while maintaining safety and functional integrity.
Achieving these objectives simultaneously is no easy task. Engineers must navigate increasingly complex wiring architectures, avoid overengineering, and streamline material usage without sacrificing performance. Traditional automotive engineering software often lacks the flexibility needed to integrate real-time insights, making it difficult to validate optimizations early in the design process.
By leveraging engineering intelligence solutions, physical layer designers can now:
Join Senior Solution Manager Daniel Metzinger as he explores how engineers can succeed in discovering, validating, and implementing design optimizations within the wiring system architecture. Learn how modern engineering tools provide a data-driven approach to harness design, enabling automotive OEMs and suppliers to improve efficiency, reduce material waste, and enhance vehicle performance.
Watch now and take a deep dive into the future of intelligent wiring harness design.
How 3D diagnostics unveil efficiency in data-driven troubleshooting[DE]
Overcome automotive software complexity with SPREAD’s 3D Diagnostics—visualize ECU connections, pinpoint failures, and automate compliance. Watch now!
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Streamline wiring harness design: Overcome legacy PLM challenges, cut costs, and boost R&D efficiency. Watch Daniel Metzinger’s SPREAD Cube insights now!
Read MoreJohn Deere, Rheinmetall, and TU Berlin share their experiences with Systems Engineering to manage product complexity
See how experts use digital documentation and data orchestration to overcome data silos & standardize complex engineering workflows.
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