PUES previously used discrete point tools across multiple engineering domains for EV development. These developments are facing challenges with automated driving requirements, stringent global emissions regulations and pressure to reduce costs and time-to-market. With point tools, making design changes in one domain required time-consuming and error prone rework in other domains.
The Capital suite of tools from subsidiary Mentor supports EV development through system architecture definition, electrical system and wire harness design, configuration and change management, as well as functional verification and manufacturing process generation. The suite as developed for transportation applications with an extended flow from concept and electrical architecture definition to wire harness design, manufacture and vehicle maintenance with tools that can be implemented individually or deployed together in a unified flow. Robust integration with adjacent domains such as requirements management, mechanical CAD and PLM is fully supported, as is cross-organizational collaboration.
“At PUES, we’ve being working closely with our customers to rapidly develop EV/HEV system prototypes and to fulfill other related development requests. Capital is a true electrical collaboration platform that provides the digital continuity we need across a broad range of critical tasks to get EV electrical systems to customers faster,” said Kishi Shingo, executive officer for PUES. “Because many of the world's leading automotive OEMs and suppliers also use Capital, as well as adjacent Siemens products such as embedded software for AUTOSAR-based systems, we expect to realize even more efficiency moving forward, due to streamlined collaboration with our global customer base.”
The Capital EV development tools also automate the production of documentation linking assets such as wiring schematics, component locations, harness views and diagnostic procedures, as autonomous drive functionality and other fast-evolving requirements dramatically increase the complexity of EV systems.