AI Vehicle NVH Control via Remote Server Diagnosis
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Solution Overview
Problem
Current vehicle systems lack an effective solution for diagnosing and controlling noise, vibration, and harshness (NVH) issues, which affect vehicle performance and passenger comfort, and do not utilize artificial intelligence for real-time data analysis and combustion control.
Innovation Solution
A vehicle control total management system that employs noise and vibration sensors, artificial intelligence for NVH diagnosis, and a central AI server to classify and update AI parameters, along with a tone control unit that learns driving patterns to adjust the vehicle tone based on real-time traffic and road conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If AI learning is applied to NVH diagnosis and combustion control, then vehicle performance and passenger comfort are improved, but system complexity and data processing requirements increase
Solution Approach 1:
The system segments NVH diagnosis into multiple specialized AI models: a noise classification model for identifying noise sources, a vibration analysis model for structural assessment, and a combustion control model for engine optimization. Each model processes specific aspects of NVH independently, improving diagnostic accuracy while managing system complexity through functional decomposition.
Solution Approach 2:
The patent introduces an AI server as an intermediary that receives raw noise and vibration data from sensors, processes it through multiple specialized models, and generates control commands. This intermediary layer separates data acquisition from complex analysis and control execution, allowing the vehicle control unit to operate with simplified logic while the AI server handles sophisticated NVH diagnosis.
2Productivity
If real-time noise and vibration data are collected and analyzed, then combustion control and tone adjustment are improved, but data processing time and computational load increase
Solution Approach 1:
The system performs preliminary classification of noise data using a noise classification model that identifies and categorizes different noise sources before detailed analysis. This preliminary action filters and organizes raw data, reducing the computational load for subsequent vibration analysis and combustion control decisions, thereby accelerating overall processing while maintaining real-time capabilities.
Solution Approach 2:
The patent implements a hierarchical analysis approach where the system performs partial analysis at multiple levels: basic noise classification at the sensor level, detailed vibration pattern recognition at the AI server level, and specific combustion parameter optimization at the control level. This partial action at each stage avoids the need for complete simultaneous processing of all data, reducing total computational time while achieving comprehensive NVH control.
3Measurement precision
If multiple AI models are used for noise classification and vibration analysis, then diagnostic precision is improved, but system resource consumption and processing complexity increase
Solution Approach 1:
The system divides the AI processing into specialized models with distinct functions: a noise classification model for acoustic source identification, a vibration analysis model for structural NVH assessment, and a combustion control model for engine parameter optimization. Each model processes specific data types and generates targeted outputs, improving diagnostic precision while minimizing energy consumption by avoiding redundant processing across all models.
Solution Approach 2:
The AI server is designed as a universal processing platform that hosts multiple specialized models but operates them in a coordinated manner. The system uses a single multi-functional AI server rather than separate dedicated processors for each model, sharing computational resources and data processing capabilities across all NVH analysis functions, thereby reducing overall energy consumption while maintaining high diagnostic accuracy.
Data Source
AI summary
Disclosed is a system for controlling a vehicle using a remote artificial intelligence (AI) server. A vehicle communicates with an artificial intelligence server for noise, vibration and harshness (NVH) issue diagnosis. The vehicle controls its fuel combustion condition for improving NVH based on an NVH diagnosis result using the AI.