US20260057714
2026-02-26
Physics
G07C5/0816
The disclosure outlines a method for diagnosing and predicting issues in a vehicle's multicomponent dynamic system. The system is designed to identify components that may be causing unexpected behavior within the vehicle's systems. By using vibration data collected from sensors, the system can determine if certain operating conditions are met and assess the health of both the overall system and individual components. This approach helps pinpoint which specific component might be responsible for any anomalies detected.
The focus is on detecting potential unexpected conditions in components of a vehicle's multicomponent dynamic system. The complexity of vehicles, with their numerous components and interrelated systems, often makes it challenging to identify the root cause of malfunctions. This method addresses these challenges by analyzing interactions between components to locate the source of unexpected behavior.
The method involves a vehicle equipped with processors, memory, a communication interface, and sensors. The vehicle receives vibration data from these sensors and checks if specific operating conditions are met. Based on this data, the system assesses the health of the multicomponent dynamic system. If unexpected behavior is detected, the vehicle further examines individual components to identify any that might be contributing to the issue. This process involves a detailed analysis of health indication data derived from the vibration data.
The system can be implemented in a vehicle comprised of various units such as an automotive computer, Vehicle Control Unit (VCU), and infotainment unit. The VCU includes multiple Electronic Control Units (ECUs) that communicate with the automotive computer. The vehicle is equipped with a range of sensors, including RADAR, LIDAR, and proximity sensors, which are strategically placed to monitor different aspects of the vehicle's environment and components.
The automotive computer, a central element of the system, includes processors, memory, and transceivers. These components work together to receive data from sensors and external devices, process this information, and communicate findings. The Vehicle Control Unit coordinates data between vehicle systems and connected servers, interfacing with various ECUs like the Engine Control Module and Transmission Control Module. The vehicle's sensory system, integrated with numerous sensors, plays a crucial role in collecting the data necessary for diagnostics and prognostics.