Today’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 →
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 →
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 →
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 →
Developing 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 →
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 →
As 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 →
Last summer, we shared with you some of the advances in ANSYS 16.2 as they related to virtual systems prototyping, including how you can optimize your product development process and improve collaboration among different departments and disciplines. I’m happy to let you know that we’ve continued to enhance our systems offering with the latest release of ANSYS Simplorer in ANSYS 17.0.
I’m personally most excited about the native support for Modelica in this new version of ANSYS Simplorer. Why? ANSYS Simplorer users will be delighted to know that you can create and assemble models faster than ever using Modelica models. Native support for the Modelica language allows you to import Modelica models directly into Simplorer. New library components provide access to hundreds of additional mechanical and fluid component models for complex electrified systems. Continue reading →
The tragic derailing of an Amtrak train near Philadelphia points out just one of the challenges facing the modern railroad industry — safety. The industry also must contend with rising energy costs, fast growth of capacity requirements in emerging markets, increasing certification costs and interoperability requirements. Continue reading →
The objective of simulation software is to inform design choices and provide validation results that include systems-level qualities, properties, characteristics, functions, behavior and performance insight. The simulation solution needs to go beyond the parts, or engineering disciplines of the design, and accurately describe the interacting effects of these parts as well as an accurate view into the detail of how these parts perform — essentially a virtual system. Continue reading →