This article was originally published in FierceElectronics.
Imagine your dream car of the future. Perhaps it’s completely autonomous and can drive you wherever you need to go, while allowing you to get some work done and catch up on your favorite TV show on the road. And the cherry on top? The vehicle drops you off while it finds a parking spot where it can charge itself while it waits for you to recall it to your current location.
This description of the futuristic car points to a new automotive trend where vehicles are increasingly becoming data centers on wheels that need to be able to monitor their “health” in order to function effectively, efficiently, securely, reliably, and safely. Silicon lifecycle management (SLM) is the answer to the many questions that arise as we move toward self-driving electric vehicles (EVs) with more sophisticated infotainment systems.
The automotive industry is witnessing compute consolidation and expansion of compute power in the vehicle, as increasingly complicated features are being powered through an EV charging system in a wide range of environments and temperatures across the globe. The question becomes not only how we do this, but how do we know the more advanced silicon being put into cars is working well and will work well for years to come? With a vehicle’s average lifecycle expectancy increasing to 15+ years, such parameters become critical to scale future updates.
SLM provides a way to monitor the many stages of automotive systems-on-chips (SoCs) from testing and manufacturing to their function in the vehicle. This data is critical to OEMs as they deploy over-the-air (OTA) updates that proactively solve issues for today’s vehicles. SLM is also relevant to the next generation of software-defined vehicles as OEMs gather insight and visibility into key challenges and determine how they’ll need to shift their production to address those.
Read on to find out what the largest technology challenges are for automotive chips, the corresponding OEM difficulties, and how SLM can help address both categories of challenges to help make your next software-defined vehicle run for longer, provide more convenient features, and become more resilient against security and safety threats.