Why Software Architecture, Semiconductors, and the Cloud Must Work Together
David Fidalgo
Founder & CEO Y-Mobility- Create, Cultivate and Connect the future of Mobility and Autonomous driving
I want to talk about the one truth that’s becoming increasingly clear: designing vehicles today isn’t just about metal, rubber, and horsepower anymore. It’s about integrating cutting-edge software, advanced semiconductors, and powerful cloud technology right from the start. In this article I want to talk about why these elements are so crucial and why they must be considered together in modern vehicle design.
The Brain: Advanced Software Architecture
At the heart of every modern vehicle lies its software architecture—an intricate system that manages everything from engine control to user interfaces. But we’re not talking about simple code here. Modern vehicles rely on a software architecture that’s as sophisticated as anything found in data centers. We’re talking about layers of abstraction, virtualisation, and real-time operating systems (RTOS) that allow vehicles to process massive amounts of data instantly.
For example, the shift from traditional Electronic Control Units (ECUs) to zonal architectures involves creating a more centralised software structure. This allows for the consolidation of multiple vehicle functions, reducing complexity and enabling seamless OTA updates. These updates aren’t just minor tweaks—they can be complete overhauls, pushing new features, enhancing existing systems, and even fixing vulnerabilities without the need to visit a dealership.
However, none of this is possible without the right hardware foundation, which brings us to the next critical component.
The Nerves: High-Performance Semiconductors
Many think that the main focus of semiconductors in modern vehicles are to power infotainment systems— but there is a lot more to it, they’re the workhorse driving everything from powertrain controls to Advanced Driver Assistance Systems (ADAS) and beyond. We’re dealing with automotive-specific nodes, like those built on AEC-Q100 standards, designed to handle the rigours of automotive environments. These chips must operate flawlessly in temperatures ranging from -40°C to 150°C, all while managing power efficiently to extend the life of electric vehicles (EVs).
In EVs, the role of semiconductors is even more critical. Power electronics—particularly Insulated-Gate Bipolar Transistors (IGBTs) and Silicon Carbide (SiC) MOSFETs—are crucial for converting DC to AC in inverters and managing the flow of electricity in the vehicle’s drive system. These components must handle high voltages and currents with minimal losses, directly impacting the vehicle's range and efficiency.
But it’s not just about raw power. These semiconductors also need to support real-time data processing, enabling features like collision avoidance, adaptive cruise control, and lane-keeping assistance. This requires chips with low latency, high processing power, and the ability to handle AI-driven algorithms that can make split-second decisions.
Without these high-performance semiconductors, the sophisticated software in modern vehicles would be nothing more than lines of code without a processor to run it. It’s the hardware-software synergy that makes today’s vehicles not just functional, but intelligent.
The Soul: Cloud Integration
Now, let’s talk about the cloud. While semiconductors provide the muscle and software the brain, the cloud is what ties it all together—allowing vehicles to connect, communicate, and learn. Cloud technology isn’t just an add-on; it’s integral to the vehicle’s architecture. It’s what allows for Vehicle-to-Everything (V2X) communication, where cars can interact with each other, with infrastructure, and even with pedestrians.
The cloud also plays a critical role in processing the massive amounts of data generated by modern vehicles. Take autonomous driving, for instance. The data from LIDAR, radar, and cameras is processed locally on semiconductors, but it’s the cloud that aggregates this data, allowing the vehicle to learn from other vehicles’ experiences. This collective intelligence is what makes autonomous vehicles safer and more reliable over time.
Moreover, cloud integration is essential for fleet management, remote diagnostics, and predictive maintenance. By analysing data in real-time, the cloud can predict potential issues before they become serious problems, reducing downtime and improving safety. This isn’t just a nice-to-have—it’s a game-changer for how vehicles are designed, operated, and maintained.
Why It All Matters
When designing vehicles today, it’s not enough to think of software, semiconductors, and the cloud as separate components. They’re deeply interconnected, each one critical to the other’s success. Advanced software requires high-performance semiconductors to run efficiently. These semiconductors, in turn, need to be integrated with cloud technology to unlock the full potential of the vehicle’s capabilities.
Going forward, the message is clear: the vehicles of the future will be defined not just by their horsepower or their design but by how well they integrate software, semiconductors, and the cloud into a seamless, intelligent whole. And that’s a future we’re excited to be part of.