Vehicle Road Noise Cancellation Simulation System
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Solution Overview
Problem
Current road noise cancellation (RNC) technology development and debugging require costly and inconvenient actual vehicle tests for each algorithm verification and debugging, as there is no method to simulate an RNC system operating in a vehicle environment.
Innovation Solution
A simulation test system and method that includes a vehicle RNC simulation system and power amplifier, which transmits acceleration and microphone data as inputs to an RNC algorithm and receives speaker data, utilizing a secondary path simulation model and signal flow simulation model to simulate an RNC system in a vehicle environment, allowing for offline debugging and verification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If actual vehicle tests are conducted for each RNC algorithm verification and debugging, then the reliability of test results is improved, but the development cost and time consumption increase significantly
Solution Approach 1:
The patent creates a virtual simulation system that copies the essential characteristics of the actual vehicle RNC environment. This includes modeling the vehicle's acoustic environment, road noise characteristics, and RNC system behavior to provide a realistic test platform without requiring physical vehicle tests for every debugging iteration
Solution Approach 2:
The simulation system enables preliminary testing and debugging of RNC algorithms before actual vehicle deployment. Developers can perform comprehensive algorithm verification, parameter tuning, and system debugging in the virtual environment, preparing everything in advance to minimize the need for repeated actual vehicle tests
2Measurement precision
If actual vehicle tests are conducted for each RNC algorithm verification and debugging, then the accuracy of algorithm performance evaluation is improved, but the development cost increases
Solution Approach 1:
The simulation system creates a cost-effective virtual copy of the actual vehicle RNC environment that maintains sufficient measurement precision for algorithm evaluation. By accurately modeling the acoustic physics, noise sources, and system responses, it provides reliable performance data without the high costs of repeated actual vehicle testing
Solution Approach 2:
The simulation system serves multiple functions: algorithm verification, performance evaluation, parameter optimization, and debugging. This multi-functionality allows developers to conduct comprehensive algorithm assessment in a single unified environment, eliminating the need for separate actual vehicle tests for each development task
3Ease of operation
If the RNC algorithm is re-transplanted and run in the actual vehicle environment for each debugging, then the ease of operation is improved, but the productivity decreases
Solution Approach 1:
The simulation system acts as an intermediary between the developer and the actual vehicle environment. It provides a convenient debugging interface with virtual sensors, actuators, and signal processing chains that mimic the real system, allowing developers to perform all necessary debugging operations without physically accessing the vehicle
Solution Approach 2:
The system creates a virtual replica of the RNC algorithm execution environment, including the power amplifier platform and signal processing pipeline. This copy allows developers to transplant and test algorithms in the same manner as the actual system, maintaining operational familiarity while eliminating the need for repeated vehicle access
Data Source
AI summary
A simulation test system and method for vehicle road noise cancellation (RNC) are provided in one or more embodiments of the present disclosure. The simulation test system may include a vehicle RNC simulation system and a power amplifier. The vehicle RNC simulation system is configured to simulate an RNC system in a vehicle environment. The power amplifier is configured to execute an RNC algorithm and may perform data communication with the vehicle RNC simulation system. The vehicle RNC simulation system transmits acceleration data representing an acceleration signal and microphone data representing a microphone signal to the power amplifier as inputs to the RNC algorithm in the power amplifier. Moreover, the vehicle RNC simulation system may receive speaker data representing a speaker signal from the power amplifier. The vehicle RNC simulation system includes a secondary path simulation model and a signal flow simulation model.