Vehicle Noise Suppression Control Unit Energy Optimization
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Solution Overview
Problem
Electric vehicles face challenges in reducing external noise sources like tire noise, which is not masked by the engine noise, leading to increased energy consumption by noise suppression units.
Innovation Solution
A control unit predicts noise levels and composition based on digital maps and environmental sensors, activating or deactivating the noise suppression unit to optimize energy efficiency by switching between active and energy-saving modes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the noise suppression unit operates continuously to suppress tire noise in electric vehicles, then noise suppression effectiveness is improved, but energy consumption increases
Solution Approach 1:
The control unit predicts upcoming noise levels using navigation data and digital maps before the vehicle reaches high-noise areas. This allows the noise suppression unit to be activated in advance during low-noise periods and deactivated before noise levels require suppression, optimizing the timing of energy-consuming operations.
Solution Approach 2:
The noise suppression unit dynamically adjusts its operation between active and energy-saving modes based on real-time predictions of noise levels. The control unit continuously monitors predicted noise levels and switches the suppression unit's operational state accordingly, creating a dynamic adaptation to changing acoustic conditions.
2Object-affected harmful factors
If the noise suppression unit is activated frequently to address external noise sources, then passenger comfort is improved, but energy consumption increases
Solution Approach 1:
By predicting noise levels ahead of time using navigation and digital map data, the system can proactively activate noise suppression only when needed, rather than continuously or reactively, thereby maintaining comfort while reducing unnecessary energy consumption.
Solution Approach 2:
The control unit uses feedback from predicted noise levels to adjust the operational state of the noise suppression unit. This closed-loop control ensures the unit operates only when predicted noise levels indicate a need for suppression, optimizing the balance between comfort and energy efficiency.
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
This approach reduces energy consumption and enhances comfort by accurately predicting and managing noise suppression, particularly in electric vehicles where tire noise is a significant issue.
Implementation Method 1
The noise suppression unit can be designed to reduce interfering noise in or on the vehicle, in particular in a passenger compartment and/or inside the vehicle, by generating at least one acoustic compensation signal. The noise suppression unit can be designed to implement an Active Noise Cancelling, ANC, algorithm to generate the at least one compensation signal
Implementation Method 2
The compensation signal is converted by one or more loudspeakers in the vehicle interior into vibrations, which interfere destructively with the noise to be suppressed and thus lead to noise cancellation
Data Source
AI summary
An apparatus for operating a noise suppression unit of a vehicle includes a control unit. The control unit is configured to reduce interfering noise in or on the vehicle by generating at least one acoustic compensation signal. The control unit is also configured to determine noise information relating to expected interfering noise, including an expected level of interfering noise, at an upcoming vehicle position while the vehicle is traveling. The control unit is also configured to cause the noise suppression unit to be activated or to be in an energy-saving mode at the upcoming vehicle position, depending on the noise information obtained.