ST launched inertial modules and ASIL B certification software library suitable for various automotive systems

The ASM330LHBMEMS inertial sensor module measures height accurately and is mainly suitable for automotive system functions. It is equipped with specialized software to solve ASIL problems and B-level functional safety application design challenges.

This module consists of a three-axis data accelerometer and a three-axis data gyroscope. It adopts an automotive grade design and provides six channel synchronous export. Good inertial measurement accuracy can improve the positioning accuracy of vehicles in relevant environments. The module is suitable for semi-automatic driving applications such as ADAS advanced driving assistance systems or the Internet of Vehicles (V2X) communication, which helps maintain the stability of key perception systems such as radar, LiDAR, and visual cameras. In addition, this module can also be used for various body control functions.

The ASM330LHB relies on supporting software modules to meet the increasing demand for safety and integrity in automotive systems that meet the requirements of automotive companies. Design a fault protection redundancy system using two ASM330LHB sensor modules, which can quickly recover environmental perception data of driving assistance systems such as lane maintenance, emergency parking, cruise assistance, and semi-automatic driving. ASIL Level B software library is developed based on the automobile function test standard ISO 26262, and has passed the independent authoritative certification of the third party T ∨ V S ∨ D test certification. The software library ensures that the vehicle system meets the requirements of ASIL B standard according to the completed special safety mechanism, including data integrity and measurement correctness.

In addition to making driving safer, the ASM330LHB also has high application flexibility, allowing customers to experience a more intelligent lifestyle. For example, embedded intelligence is beneficial for adding new automotive services. For example, when the driver leaves the vehicle, remind the vehicle. Integrated Machine Learning Critical (MLC) machine learning algorithms with a working current of only a few microamps can detect vehicle safety accidents such as theft, lifting, riding, and collisions. In addition, detecting various thresholds can keep the internal finite state (FSM) in an excellent standard for detecting vehicle motion or stationary, vibration or unstable states.

The time and temperature zero drift stability of modular accelerometers and gyroscopes is excellent, with extremely low noise and an overall zero bias variability of up to 3 °/hour. The standard ambient temperature of ASM330LHB is extended to -40 ° C to 105 ° C, suitable for designers to optimize data update rate and power consumption in a variety of ways.

The ASM330LHB complies with the AEC-Q100 specification and is packaged with 2.5mm x 3.0mm 14 pin VFLGA. It has now been put into production.

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