How are Power Management ICs Enhancing ADAS for Next-Generation Automotive Systems?
Next-generation automotive systems are reshaping the ecosystem of mobility and transportation, which is creating new challenges for these systems to keep up with the changing customer needs.
To maintain the pace and optimum designs of these automotive systems, three-chip manufacturers and vendors are opting for power management integrated circuits aiming to enhance security with advanced driver assistance systems (ADAS).
Moreover, engineers in the automotive industry are driving the development of integrated circuits (ICs) to incorporate cost-effective, safe, energy-efficient, and robust subsystems for next-generation vehicles.
In this article, we’ll learn about the increasing demand for ADAS systems to showcase the latest next-generation technologies aimed at enhancing the driving experience.
How does an ADAS work?
Next-generation automotive era is the mobile-connected automobile devices era which has been the sole foundation of autonomous vehicles. These autonomous application solutions are partitioned into various chips, called systems on a chip (SoCs), which work on advanced driver assistance systems. These chips are used to connect sensors and actuators through interfaces and high-performance electronic controller units (ECUs).
Self-driving cars have a variety of applications of this technology to attain a complete 360-degree vision, including both near and far. Some of the leading companies, such as IONITY, EVGo, Charge Point, and Tritium, are working toward public charging infrastructural plans while collaborating with several gas stations for the deployment of fast chargers.
These companies are using advanced process nodes to meet ever-higher performance targets and sustainable hardware design materials to simultaneously reduce demands on power and footprint.
What are power management ICs, and how are these applicable in ADAS?
Power management integrated circuits (ICs) are solid-state devices that are used to control the flow and direction of electrical power. They have a wide range of applications, such as DC-to-DC power conversion, voltage scaling, power-source selection, battery charging, and power sequencing.
Self-driving vehicles that consist of various power management IC modules, such as cameras, sensors, battery chargers, and display drivers, provide a highly integrated low-power microprocessor platform. These modules are inbuilt with their own power supply requirements, and it is managed by DC-DC converters, controllers, and voltage regulators compiled with integrated circuits.
A significant share of the automotive power management IC market is held by the safety segment, which is driven by several factors, such as increasing production and sales of electric cars, increasing demand for PMICs in advanced driver assistance systems (ADAS), and growing implementation of 5G networks.
According to a report by BIS Research, the global automotive power management IC market is projected to reach $10.18 billion by 2031 from $4.17 billion in 2021, at a CAGR of 9.5% during the forecast period 2022–2031.
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The growth in the automotive power management IC market is expected to be driven further by the latest technological advancements and increasing demand for advanced driver assistance systems.
What are some common applications of ADAS?
This technology helps in responding faster than a human driver and can also analyze video shows and other mobile-connected functionality in real-time. Some of the most common ADAS applications in the automotive industry are:
Glare-Free High Beam and Pixel Light: Sensors are used in automotives to adjust the darkness based on the vehicle’s surroundings without disturbing oncoming traffic. This ADAS technology detects the lights of other vehicles that are approaching toward the driver and automatically redirects the vehicle’s light away to prevent any severe road accident.
Navigation System: Advanced driver assistance systems offer a heads-up display with navigation systems for drivers to reduce distraction. It provides on-screen instructions and voice prompts to find the route without distracting the concentration from the road. Such ADAS can display exact traffic data, plan a new route to avoid traffic, and enhance the driving experience.
Adaptive Cruise Control: On highways, it is difficult for drivers to monitor the speed of themselves and other cars. Adaptive cruise control is helpful for such instances. Depending on the actions of other objects in the immediate area, the cruise control function in an advanced driver assistance system can automatically accelerate, slow down, and at times stop the vehicle, thereby avoiding road accidents.
Automatic Parking: As compared to traditional side mirrors, vehicles equipped with rear-view cameras have a better view of their surroundings which helps in automatic parking. Automatic parking equipped with ADAS can perform complete parking by combining the input of multiple sensors without the driver’s assistance.
Conclusion
With the increase in the adoption of autonomous vehicles, various technological advancements are required to meet the needs of next-generation automotive systems, which involves processing heavy volume of data. To handle this data, the new integrated circuit domain controllers are required, which can offer higher computing performance and lower power consumption.
The automotive power management IC market is expected to grow exponentially owing to the increase in demand for such autonomous vehicles holding enormous opportunities to captivate high-investment and high-revenue generating technologies like temperature-controlling batteries and advanced driver assistance systems.
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