Simulation Innovations: From Systems Simulation to Autonomous Vehicles to Digital Twins

The role of 3-D physics, systems simulation and embedded software is expanding rapidly into new industries and disciplines. A few years ago, 3-D physics simulation was limited to specific departments within organizations, and often these departments did not coordinate with each other on product development activities. Fast forward to today, and much has changed and must continue to evolve in order for companies to remain competitive in the changing landscape of product development. Integrated 3-D physics, systems simulation and embedded software tools are of the utmost importance — especially when tackling the challenges of quickly and accurately developing the technology driving digital twins and autonomous vehicles.

Join us in Paris for our Innovations Conference on December 5-6 and learn how our customers are using simulation to bring their products to market faster.

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Closing the Loop on Medical Device Systems Simulation: An Insulin Delivery Systems Example

Great products are composed of great individual components that are increasingly assessed from every possible physical perspective. But as you probably know, optimally designed components do not necessarily result in optimal systems. Eventually, the components are assembled, powered, sensed and controlled as an integrated system, and must therefore be simulated as a system to meet peak performance requirements and stringent safety standards. But building and testing integrated product systems and subsystems can be costly and may not identify optimal configurations and/or potential shortcomings. Systems simulation can help to overcome this challenge. Continue reading

Driving Towards Autonomous Cars and ADAS – The Future is Now

Remote Sensing System of Vehicle. various cameras and sensors of autonomous vehicles ADASRead any automotive-related article and I’m sure it discusses autonomous cars and Advanced Driver Assistance Systems (ADAS)  – the benefits, the challenges and what the future may hold. More and more auto makers are moving towards autonomous developing vehicles, but many of the systems that will eventually be integrated into these vehicles to make them fully autonomous are being developed today. In fact, you probably have some of them in the car you are driving now — Collision Mitigation Braking,  Lane Departure Warning, Blind Spot Warning, and Lane Keeping Assistance to name a few. These ADAS applications present a new set of challenges and require a multi-disciplinary development approach. You can read more about these development areas in a blog written by my colleague, Sandeep Sovani.

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Driving Toward the Future with AUTOSAR Compliant Software

autosar complianceToday’s automotive systems are more complex, smarter and more autonomous than ever before, featuring functionality that no one could have imagined 10 years ago. Advanced sensors and electronics control everything from a vehicle’s speed and position to its entertainment and communications technologies. Radar, cameras and other sophisticated electronics are increasingly being incorporated into consumer vehicles.

In fact, today, more than 60 percent of a car’s cost comes from its advanced electronics and software systems. Since many of the functions guided by electronic systems are mission-critical, it’s essential that all automotive systems work together with complete reliability. The tens of millions of lines of software code that control these systems must be flawless. Continue reading

System Simulation for Model-driven Automotive Health Monitoring and Predictive Maintenance

Rather than just listing all the new capabilities for system simulation and analysis in the latest release of ANSYS Simplorer, I thought it would be interesting to share a cool example of how our systems capabilities have been applied to health monitoring of an automotive braking system. And along the way, I’ll highlight how the advancements in ANSYS 18 help our customers model and simulate systems such as these.

This example illustrates a physics-based system model intended to support health monitoring and predictive maintenance of automotive braking systems. And while this is an automotive example, our customers throughout different industries are developing similar capabilities to monitor and manage the performance of their products in operation — all in the name of improving safety, performance, and overall customer satisfaction.  Continue reading

Learn About the Many Innovative Features of ANSYS 18

I’m excited and honored to share with you the innovations in the latest release of our suite of simulation solutions, ANSYS 18, on behalf of over a thousand R&D professionals at ANSYS. The driving force for these innovations is the spread of simulation to all areas of engineering practice, a trend we call “pervasive engineering simulation.”

This trend is enabling engineers to explore the design parameter space earlier in the product lifecycle (digital exploration), test thousands of detailed designs rapidly and efficiently (digital prototyping), and monitor and optimize their product’s operation after it has been deployed (using digital twins).

To make pervasive engineering simulation as easy as possible for all engineers, we’ve added a lot of new features to each product family, as you can see below. For more information on ANSYS 18, including demo videos, webcasts, application briefs and technical papers, see our ANSYS 18 web pages. Continue reading

New Capabilities for Testing Embedded Software Announced

A number of new and exciting workflow enhancements were included in ANSYS SCADE 17.2 for those who are validating and testing embedded software. In this blog, I’ll cover the top 3 enhancements.

Virtual System Testing Using Simplorer Entry

In ANSYS 17.2, all SCADE Suite users can immediately simulate and analyze virtual system prototypes thanks to the bundling of Simplorer Entry.

One of the main objectives of embedded software users is to perform closed-loop testing to tune the software application — as early as possible. As a best practice, embedding the application within a virtual environment is a great way to reduce testing costs. It can be performed first with simplified model of the environment using Modelica language then moved to high-fidelity models. Continue reading

From Drones to Connected Cars – Code Generation for Safety-Critical Embedded Software

DLR-image007Developing an Internet of Things (IoT) enabled product is a complicated task, whether it’s an autonomous vehicle, a vehicle user interface like a car infotainment system, or a connected factory. IoT-enabled products contain hundreds, if not millions, of lines of embedded software code. And many of these products — and the systems and software that control them — are mission- or safety-critical. Therefore, developers must have confidence that the software code controlling these devices is 100% accurate and responds in the intended manner. Continue reading

Keys to Safety Critical Embedded Software Development Success

The Internet of Things and the abundance of smart applications have significantly increased the need for the safety critical embedded software that controls these devices. You’ve probably heard some of the following stats. Nearly 400,000 software and system engineers work in the oil and gas industry. In the energy and nuclear sectors, software-based instrumentation and controls have become state of the art. The aerospace industry has witnessed a 500 percent increase in source lines of code over the past decade. And, there are 10 million software lines of code in modern vehicles! Continue reading

Avionics System Engineering: A Complex Problem Demands an Advanced Solution

avionics system engineering cockpitAs one of today’s avionics system engineers, you have a difficult task —  integrating a diverse range of functionally complex components, provided by multiple suppliers, into a system that is reliable enough  to ensure consistent aircraft performance and passenger safety. You also need to understand and meet numerous regulatory operating systems and protocols, including ARINC 653, ARINC 429, CAN and ARINC 664. Continue reading