Continuous product validation – automating design validation in automotive - 7 de julio de 2021 - TecnoWebinars.com

 

Consumer demand and government regulations are changing, forcing automakers to shift their focus to greener, smarter, and safer vehicles. And with capable new competitors emerging, delivering on these demands with speed and efficiency is paramount.

 

Traditional development methods and tools are no longer sustainable for companies looking for pole position in the race to produce the vehicles of tomorrow. There are no shortcuts, but there are advantages for automakers capable of continuous verification and validation (V&V). In this webinar, Siemens Automotive Vice President Nand Kochhar will demonstrate those benefits and illustrate how fully-integrated teams are the ones who are winning the race.

 

 

With electrical, mechanical, and software components all expected to work in perfect harmony, waiting to develop physical prototypes makes your projects vulnerable to blown budgets and missed deadlines due to significant rework. By enabling designers and incorporating V&V into every development phase, teams can now verify their work's performance early and often. Perhaps more importantly, they can also test its compatibility within the entire system.

 

Automakers who adopt a Model-Based Systems Engineering (MBSE) approach are proving to be the ones who are driving the change that is changing driving. By implementing a comprehensive digital twin that brings every engineering discipline into every stakeholders' purview, all systems can be verified and validated before any production activities occur. Harnessing the power of the latest virtual and augmented reality tools, you can now drive a vehicle that is yet to be built.

 

 

Ensuring automobiles deliver on the demands of being safe, reliable, and increasingly high-tech means navigating layer upon layer of complexity. That complexity swells further from internal engineering challenges involving interactivity between sensors, software, electronics, and moving components.

 

This complexity could continue to grow uncontrollably if not reined in sooner rather than later. But, by automating the task of linking and tracing requirements across disciplines and data sources, project parameters can be verified and validated at each stage in the V-cycle. With these abilities, programs can progress with confidence.

 

 

Simulation was first used as a way to replace or supplement prototypes and physical testing. Relegating it to only those tasks doesn't even start to realize the potential simulation has today for automakers. It is no longer necessary to have a doctorate to perform analysis work. It is, however, essential to be working within a fully-integrated software ecosystem to realize the full strength of simulation, and the rest of your digital enterprise.

 

Specialized pieces of software can be an effective way to achieve specific goals. But, when the data produced by those software pieces doesn't fit into the big picture, that software could create just as many problems as it solves. So, it is imperative that software systems across the enterprise speak the same language. By starting integrated and staying integrated, everyone can work from a single source of truth.