Covering Disruptive Technology Powering Business in The Digital Age

Model-based development (MBD), a method of testing complicated interactions among software as a simulated system using virtual recreations of mechanics, is becoming increasingly popular within the manufacturing sector, especially the automotive industry. Find out how Toshiba is applying a cyber-physical approach to MBD to help organisations build transformative and sustainable solutions for cost and productivity efficiencies.

 Schematic of the Distributed Co-Simulation Platform

A cyber-physical era of model-based development

While MBD is effective in testing the efficiency of individual components, it struggles to keep pace with the interconnectivity of today’s cars following the arrival of numerous different types of electronic components and systems within the CASE (i.e. the development of Connected, Autonomous, Shared and Electric vehicles) fields – all of which need to be able to work together.

Toshiba’s Distributed Co-Simulation Platform, with its cyber-physical approach, has the potential to revolutionise what can be achieved, and subsequently simplify these challenges facing automotive companies today. Cyber-physical systems (CPS) are defined as those which collect real-world data and analyse it within cyber or digital environments – using technologies like Artificial Intelligence (AI) – before then applying the learnings back within the physical world to create added value.

Toshiba’s platform has essentially evolved this technique to a new level of large-scale simulations which connect multiple models by deploying a CPS approach to MBD – owned by different automakers and parts suppliers – within a single digital testing environment.

The solution allows automakers to build a fully virtual prototype of the car, enabling them to perform the necessary verifications of today’s complex automotive control systems much earlier in the process – and in turn, significantly improve quality and productivity. Connections between different suppliers can be automated to reduce man-hours, while simulations can be executed via the cloud to reduce latency and considerably accelerate the wider verification process.

A joint approach to techniques such as model-based development may be the first step, but as the physical and digital worlds continue to converge, we will undoubtedly see the emergence of more cyber-physical systems transform the way in which we work and live across multiple domains.

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