Vehicle Active Noise Control Using External Source Detection
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Solution Overview
Problem
Unwanted noise from external sources, such as neighboring vehicles or machinery, enters vehicle cabins and is not effectively mitigated by existing noise control systems.
Innovation Solution
An active noise control method that determines the characteristics of unwanted noise and generates an inverted noise to destructively interfere with it, using vehicle-to-vehicle communication, laser-detection-and-ranging information, camera information, or radar information, and employs a reference equalizer, digital filter, or adaptive algorithm to project the inverted noise, which is then adjusted based on residual noise feedback from an error microphone.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If active noise control is implemented using only internal vehicle noise sources, then the system can effectively control engine noise, but it cannot control unwanted noise from external sources such as neighboring vehicles or machinery
Solution Approach 1:
The active noise control system is extended to handle multiple noise sources (both internal engine noise and external noise from neighboring vehicles/machinery) using a unified control architecture. The system uses multiple microphones to capture different noise sources and a single speaker system to generate anti-noise signals for all sources, achieving multi-functionality without proportionally increasing speaker complexity.
Solution Approach 2:
An external microphone is introduced as an intermediary component to capture noise from external sources. This mediator allows the system to detect and process external noise without requiring the speaker system to be positioned at the noise source, enabling control of previously uncontrollable noise sources while maintaining existing speaker infrastructure.
2Object-affected harmful factors
If the inverted noise is projected to cancel unwanted external noise, then the acoustic comfort is improved, but residual noise may remain due to imperfect cancellation
Solution Approach 1:
The system employs feedback control where the error microphone continuously monitors residual noise in the cabin and feeds this information back to the controller. The controller adjusts the anti-noise signal in real-time based on the measured residual noise, creating a closed-loop system that adapts to changing noise conditions and improves cancellation effectiveness over time.
Solution Approach 2:
The active noise control system dynamically adapts to changing noise conditions by continuously adjusting the anti-noise signal parameters. The controller modifies the amplitude, frequency, and phase of the inverted noise based on real-time measurements from microphones, allowing the system to maintain effectiveness as noise sources move or change characteristics.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Effectively cancels out unwanted external noise by projecting an inverted noise that interferes destructively with the original noise, improving the acoustic comfort within vehicle cabins.
Implementation Method 1
generating an inverted noise to reduce the unwanted noise... The projected inverted noise destructively interferes with the unwanted noise... When the unwanted sound is combined with the second sound, the two sounds can effectively cancel each other out
Data Source
AI summary
A system and method for controlling noise originating from a source external to a vehicle is disclosed. The method includes determining, by an active noise controller of a vehicle, characteristics of an unwanted noise. The unwanted noise originates from a source external to the vehicle. The method also includes determining an inverted noise based on the characteristics of the unwanted noise. The method also includes projecting the inverted noise. The projected inverted noise destructively interferes with the unwanted noise. The method also includes receiving a residual noise via an error microphone. The error microphone is configured to generate a signal based on the received residual noise.


