Active Noise Control Adaptation via Road Roughness

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Solution Overview

Problem

Conventional active noise control systems in vehicles fail to achieve optimal noise reduction performance in changing driving conditions, such as varying road roughness, as they require continuous driving in constant conditions to converge on an optimal filter value.

Innovation Solution

A vehicular apparatus that senses road roughness and updates a convergence coefficient based on this information, applying it to a control filter coefficient to generate a control signal, enabling rapid adaptation to changes in driving conditions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If the optimal filter is continuously updated using conventional active control methods, then the noise control performance improves under constant driving conditions, but the system cannot adapt rapidly to changing driving conditions such as varying road roughness

Engineering Contradiction:
Improvenoise control performanceVSAvoidadaptability to changing driving conditions
Core Design Contradiction:
ReliabilityVSAdaptability or versatility

Solution Approach 1:

The patent applies dynamics by making the convergence coefficient adjustable and variable based on driving conditions. Instead of using a fixed convergence coefficient, the system dynamically modifies it according to detected road roughness and vehicle speed changes, allowing the active noise control system to adapt rapidly to varying driving conditions while maintaining stable convergence

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The patent implements parameter changes by modifying the convergence coefficient parameter based on detected driving conditions. The system detects changes in road roughness and vehicle speed, then adjusts the convergence coefficient accordingly to optimize the filtering process for current conditions, enabling rapid adaptation without sacrificing stability

Inventive Principle:
Principle #35Parameter changes

2Reliability

If the vehicle is driven continuously in the same environmental conditions, then the optimal filter converges on the optimal filter value achieving highest noise control performance, but this requires constant driving conditions which are not practical for real-world usage

Engineering Contradiction:
Improvenoise control performanceVSAvoidpractical usability in varying conditions
Core Design Contradiction:
ReliabilityVSEase of operation

Solution Approach 1:

The patent applies preliminary action by pre-establishing the relationship between driving conditions and convergence coefficient values. The system detects current driving conditions (road roughness, speed changes) and proactively adjusts the convergence coefficient before performance degradation occurs, allowing rapid adaptation to changing conditions without requiring continuous driving in constant conditions

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent implements feedback by continuously monitoring driving conditions such as road roughness and vehicle speed, then using this information to adjust the convergence coefficient. This closed-loop feedback mechanism enables the system to maintain optimal performance across varying driving conditions by automatically adapting to environmental changes

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS10964303B2Vehicular apparatus and method for active noise control, and vehicle including vehicular apparatus
Publication Date: 2021.03.30 HYUNDAI MOTOR CO LTD
  • US10964303B2 patent drawing
  • US10964303B2 patent drawing
  • US10964303B2 patent drawing

AI summary

A vehicular apparatus for active noise control may include: a sensing unit configured to sense information characterizing at least one of an environment inside of a vehicle and an environment outside of the vehicle; and a controller configured extract road roughness information characterizing road roughness from the sensed information, to calculate a convergence coefficient based on the road roughness information, to generate a control signal by applying the convergence coefficient to a control filter coefficient, and to perform active noise control using the control signal.