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Cars are now rolling compute platforms. They take us to the grocery store, but under the hood and throughout the vehicle, they also enable the swift fusion of multimodal data via edge devices like sensors and actuators.
, but today’s cars can have anywhere from one to three thousand chips — and a single sensor error can lead to a dangerous situation.
Vehicle safety now goes far beyond the trusty seat belt. Here are five crucial insights into modern automotive functional safety.
Discover key strategies and expert insights to ensure reliable and trustworthy automotive semiconductors.
We can’t have uniform safety unless the industry works together under a common framework. That’s why the International Organization for Standardization (ISO) collaborates with auto manufacturers (OEMs) and their suppliers to develop standards such as ISO 26262, which governs the functional safety of electrical and electronic systems in road vehicles.
Additionally, my committee at the Institute of Electrical and Electronics Engineers (IEEE) administers IEEE P2851, which sets guidelines for designing, implementing, and evaluating safety-critical systems. The standard outlines essential methods, description languages, data models, and databases that can be used across the industry.
By following these technology-agnostic standards, manufacturers can build safer vehicles. They can also reduce costs associated with redesigns and recalls due to safety issues.
These standards — along with others that govern vehicle safety — enable the exchange and interoperability of data across all steps of the vehicle’s lifecycle. They also evolve as new technologies emerge, such as AI.
Standards are vital, because as we add more technology, we also introduce more risk.
Integrating AI components into modern vehicles can provide many advantages — such as park assist and real-time analysis of road situations — but it also comes with a cost.
Additional chips and safety features introduce more complexity, which brings increased risk of failure. Data security is another concern. And so is the material cost of new technologies, which can impact profit margins and affordability.
Functional safety is therefore a balancing act, where OEMs must weigh safety mechanisms against budget constraints, performance requirements — and security.
To ensure tamper-proof data transfer among the many sensors and components in modern vehicles, it is essential to adopt a comprehensive security approach.
Data and transmission security help prevent tampering and ensure predictable vehicle operation — but components that govern security also use chips. We must practice predictive maintenance to ensure those chips are operating safely.
Predictive maintenance uses advanced analytics and machine learning algorithms to forecast potential failures before they occur. This approach can be applied to any part of a vehicle and is increasingly used at the silicon level to anticipate chip degradation.
However, to fully realize the benefits of predictive maintenance, a comprehensive framework for managing and utilizing this vast amount of data effectively is essential. This is where Silicon Lifecycle Management (SLM) comes into play.
SLM offers a comprehensive approach to managing the data and processes associated with the maintenance and service of vehicle components throughout their lifecycle. By integrating SLM with predictive maintenance, cybersecurity, and industry standards, manufacturers can ensure that maintenance activities are timely and aligned with the overall vehicle service strategy.
These automotive-grade IP solutions and the continuous insights from SLM are essential for ensuring the long-term functional safety of modern vehicles.
According to the World Health Organization, human errors account for the vast . With myriad sensors and safety features, modern cars can help reduce these errors by alerting us to dangerous conditions or even taking corrective actions.
But those same sensors and safety features also introduce complexity and risk.
To ensure functional safety, we need to continue to promote and enhance essential industry standards. We need to ensure the security of the data flowing into, out of, and within each vehicle. And we need to leverage solutions that provide end-to-end monitoring, verification, and predictability — from silicon to systems.