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Inertial module targets automotive applications

STMicroelectronics’ ASM300LHB MEMS inertial module provides a certified ASIL B software library for a range of automotive applications.

STMicroelectronics has released its ASM330LHB automotive-qualified MEMS inertial-sensing module that provides accurate measurements for a variety of vehicle applications. The inertial module integrates a three-axis digital accelerometer and a three-axis digital gyroscope and provides a six-channel synchronized output.

The high-accuracy inertial measurements are used to improve the precise positioning of the car in context, said ST, supporting ADAS or vehicle-to-everything (V2X) communication. The module also helps stabilize key sensing systems like radar, LiDAR and visual cameras; assists semi-automated driving applications up to L2+ and can be used to enable a variety of functions in the car body, said the company.

The accelerometer and gyroscope maintain high stability over time and temperature and offer a very low noise, achieving an overall bias instability of 3°/hour, said ST.

STMicroelectronics' ASM330LHB MEMS inertial module with safety integrity to ASIL B for automotive applications.

(Source: STMicroelectronics)

The ASM330LHB’s companion software engine supports automotive systems that require safety integrity up to ASIL B, as classified under the ISO 26262 – Functional Safety for Road Vehicles standard. By using two ASM330LHB sensor modules for fail-safe redundancy, the solution offers resilient contextual data for driver-assistance applications, said the company. These include lane centering, emergency braking, cruise assistance and semi-automated driving.

The ASIL B compatible software library has been certified independently by TÜV SÜD. “By implementing dedicated safety mechanisms, including data integrity and accuracy, the library ensures compliance with ASIL B automotive systems,” said the company.

The ASM330LHB also offers embedded intelligence, via the integrated machine learning core (MLC), which consumes only a few microamperes of current, to add new services about the car status when the driver is away. A machine-learning algorithm can detect events such as theft attempts, jacking-up, towing or impacts from other vehicles, and by monitoring threshold combinations, the integrated finite state machine (FSM) can be used to detect when the vehicle is in motion or stationary and for sensing vibrations or instability.

In addition, the ASM330LHB features multiple operating modes, enabling the optimization of the data-update rate and power consumption. It operates over an extended temperature range of -40°C to 105°C.

The ASM330LHB is AEC-Q100 qualified. It is supplied in a 2.5 × 3.0-mm 14-lead VFLGA package and is in production now.

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