Dynamic Brake Impulse Control for Switchable Valve Noise Reduction

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Solution Overview

Problem

Existing methods for controlling switchable valves are ineffective in maintaining noise reduction as boundary conditions change, such as voltage, fuel pressure, and temperature, leading to suboptimal brake impulse timing and duration.

Innovation Solution

The method involves modifying parameters of the brake impulse based on real-time evaluation of measurement quantities, such as current curves, to ensure optimal positioning and duration, thereby maintaining noise reduction without impairing valve behavior, and allowing for continuous adaptation without the need for regular re-parameterization.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Object-affected harmful factors

If fixed brake impulse parameters are used for noise reduction, then switching noise is reduced under initial conditions, but noise reduction effectiveness deteriorates as boundary conditions change (voltage, fuel pressure, temperature)

Engineering Contradiction:

Improveswitching noiseVSAvoidadaptation to changing boundary conditions

Core Design Contradiction:

Object-affected harmful factorsVSAdaptability or versatility

Solution Approach 1:

The brake impulse parameters (position and duration) are made dynamic rather than fixed. The control device continuously determines optimal parameters based on real-time boundary conditions including voltage, fuel pressure, and temperature. This allows the system to adapt to changing conditions while maintaining noise reduction effectiveness.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system uses feedback from sensors measuring boundary conditions (voltage, fuel pressure, temperature) to continuously adjust brake impulse parameters. The control device receives information about current operating conditions and determines the optimal brake impulse parameters accordingly, creating a closed-loop control system that maintains effectiveness under varying conditions.

Inventive Principle:

Principle #23Feedback

2Object-affected harmful factors

If brake impulse parameters are continuously adapted to optimal values, then noise reduction is maintained, but system complexity and measurement requirements increase

Engineering Contradiction:

Improveswitching noiseVSAvoidcontrol system complexity

Core Design Contradiction:

Object-affected harmful factorsVSDevice complexity

Solution Approach 1:

The control device automatically determines optimal brake impulse parameters based on measured boundary conditions without requiring external intervention or complex manual configuration. The system self-adjusts by using sensor data and pre-stored characteristic values to calculate optimal parameters, reducing the need for complex external control mechanisms.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system changes the parameters of the brake impulse (position and duration) based on measured boundary conditions and stored characteristic values. By adjusting these parameters dynamically, the system maintains noise reduction effectiveness without requiring fundamentally new control mechanisms, thus limiting the increase in system complexity.

Inventive Principle:

Principle #35Parameter changes

3Object-affected harmful factors

If fixed characteristic curves are supplied with data input, then initial noise reduction is achieved, but application outlay increases and continuous adaptation is prevented

Engineering Contradiction:

Improveswitching noiseVSAvoidapplication outlay and re-parameterization

Core Design Contradiction:

Object-affected harmful factorsVSEase of operation

Solution Approach 1:

The system enables continuous determination of optimal brake impulse parameters during operation rather than requiring fixed pre-programmed curves. The control device continuously measures boundary conditions and calculates optimal parameters in real-time, eliminating the need for periodic re-parameterization or data input updates.

Inventive Principle:

Principle #20Continuity of useful action

Solution Approach 2:

The system replaces manual data input and characteristic curve supply with automated electronic determination based on sensor measurements. The control device uses electronic processing of measured boundary conditions and stored characteristic values to automatically determine optimal parameters, eliminating the need for manual re-parameterization processes.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

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 ensures consistent noise reduction and optimal valve behavior by dynamically adjusting brake impulse parameters in response to changing conditions, reducing noise emissions and simplifying application by eliminating the need for frequent data input and reconfiguration.

Implementation Method 1

If the measurement quantity is the current flowing through the valve. In the curve of the current, the optimal value for the parameter can be recognized particularly well.

Methodology Applied

Scientific EffectElectrical current measurement: Ohm's Law

Data Source

PatentUS10865727B2Device for controlling at least one switchable valve

Publication Date: 2020.12.15 ROBERT BOSCH GMBH

AI summary

A method for controlling at least one switchable valve, a brake impulse that slows down the valve movement being produced during the controlling of the at least one valve. At least one parameter of the brake impulse determines the position and/or the duration of the brake impulse. A parameter is modified, and the reaction of a measurement quantity or of a characteristic feature derived from the measurement quantity is evaluated.