Brake System Parameter Estimation via Motorized Piston Control

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Solution Overview

Problem

Existing vehicle brake systems equipped with motorized piston-cylinder devices face challenges in accurately determining elasticity and rigidity, especially under extreme conditions, production deviations, aging, and environmental changes, which affects their performance and requires reliable and cost-effective parameter estimation methods.

Innovation Solution

A device and method that utilize low-pass filters, displacement path sensors, and pressure sensors to estimate brake fluid volume and pressure changes, allowing for the determination of elasticity and rigidity, and a motor control system to adapt brake pressure, enabling accurate and reliable parameter estimation and adaptive braking control.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If parameter estimation methods are used for brake systems with production deviations, aging, and environmental changes, then reliability of parameter determination is improved, but measurement precision deteriorates under extreme boundary conditions

Engineering Contradiction:
Improvereliability of parameter determinationVSAvoidprecision of elasticity and rigidity measurement
Core Design Contradiction:
ReliabilityVSMeasurement precision

Solution Approach 1:

The system dynamically adapts the inverse system model parameters (elasticity and rigidity) to changing brake system conditions through continuous parameter estimation. The computing device updates these parameters based on real-time sensor data, allowing the system to maintain measurement precision despite production deviations, aging, and environmental changes by making the parameters dynamic rather than static.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The system employs feedback through sensor measurements (pressure, temperature, displacement) that are continuously fed back to the computing device. This feedback loop enables the system to detect deviations from standard conditions and adjust the inverse system model parameters accordingly, maintaining both reliability and precision under varying operating conditions.

Inventive Principle:
Principle #23Feedback

2Reliability

If robust parameter determination is implemented to account for production deviations and aging, then reliability is improved, but device complexity increases

Engineering Contradiction:
Improverobustness of parameter determinationVSAvoidcomplexity of parameter estimation system
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The brake system performs self-characterization by using its own sensor data to continuously estimate and update its parameters. The computing device automatically determines elasticity and rigidity values without requiring external calibration equipment or manual intervention, making the system robust to production deviations and aging while avoiding the complexity of external calibration systems.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The inverse system model serves multiple functions: it characterizes the brake system during manufacturing, monitors aging effects during operation, and adapts to environmental changes. This multi-functionality achieves robust parameter determination without requiring separate systems for each function, thereby limiting the increase in device complexity.

Inventive Principle:
Principle #6Universality (Multi-functionality)

3Measurement precision

If low-pass filtering is applied to reduce signal noise, then measurement precision is improved, but response speed deteriorates

Engineering Contradiction:
Improveprecision of parameter estimationVSAvoidresponse speed of parameter determination
Core Design Contradiction:
Measurement precisionVSSpeed

Solution Approach 1:

The system applies low-pass filtering selectively to specific sensor signals (pressure and temperature) that require noise reduction for accurate parameter estimation, rather than filtering all signals. This partial application of filtering maintains measurement precision where needed while preserving response speed in other aspects of the system.

Inventive Principle:
Principle #16Partial or excessive action

Data Source

PatentUS20230159012A1Device and method for estimating parameters for a vehicle brake system equipped with a motorized piston-cylinder device
Publication Date: 2023.05.25 ROBERT BOSCH GMBH
  • US20230159012A1 patent drawing
  • US20230159012A1 patent drawing
  • US20230159012A1 patent drawing

AI summary

Parameter estimation for a vehicle brake system equipped with a motorized piston-cylinder device. The estimation includes controlling an electric motor of the motorized piston-cylinder device so that at least one piston, displaceable by the operated electric motor, of the motorized piston-cylinder device is displaced from its initial position; ascertaining/estimating a brake fluid volume displaced by the at least one displaceable piston of the motorized piston-cylinder device between the motorized piston-cylinder device and at least a part of the brake system adjoining the motorized piston-cylinder device; ascertaining/estimating a change in pressure occurring due to the displaced brake fluid volume at least in the part of the brake system adjoining the motorized piston-cylinder device; and determining an elasticity of the brake system and/or a rigidity of the brake system at least taking into account the ascertained or estimated displaced brake fluid volume and the ascertained or estimated change in pressure.