Brake Temperature Modeling for Residual Torque Estimation
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Solution Overview
Problem
Residual braking torque in vehicles, caused by unintended interactions between brake pads and discs, leads to increased fuel consumption and brake pad wear, posing challenges for meeting stringent CO2 emission standards.
Innovation Solution
A method and device using an N-dimensional calculation model with temperature sensors and an electronic control unit to estimate residual braking torque by calculating a reference temperature and comparing it to the acquired temperature, incorporating variables like vehicle speed and ambient temperature, to detect and limit this torque.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If temperature-based residual torque estimation is implemented, then measurement precision of residual torque is improved, but device complexity increases due to additional sensors and calculation models
Solution Approach 1:
The patent replaces direct mechanical measurement of residual torque with a thermal field-based estimation system. Temperature sensors measure brake component temperature, and an N-dimensional calculation model computes residual torque from thermal data, substituting mechanical torque sensing with thermal measurement and computational analysis.
Solution Approach 2:
The patent introduces temperature as an intermediary parameter between brake activation and residual torque estimation. Temperature sensors detect thermal states of brake components, and the calculation model uses these thermal readings as intermediate data to infer residual torque values without direct mechanical contact.
2Productivity
If real-time temperature monitoring is implemented, then productivity of residual torque detection is improved, but use of energy increases due to continuous sensing and processing
Solution Approach 1:
The patent implements periodic temperature sampling at predetermined time intervals rather than continuous monitoring. The electronic control unit acquires temperature data at discrete intervals, processes the information, and updates residual torque estimates periodically, reducing computational load and energy consumption while maintaining detection effectiveness.
3Measurement precision
If N-dimensional calculation model is used, then measurement precision of residual torque is improved, but device complexity increases due to multiple input variables
Solution Approach 1:
The patent creates a universal N-dimensional calculation model that processes multiple input parameters (temperature, ambient conditions, brake usage patterns, vehicle speed) through a single integrated computational framework. This multi-functional model handles various operating conditions and environmental factors uniformly, improving estimation accuracy across diverse scenarios.
Solution Approach 2:
The patent incorporates multiple dynamic parameters including temperature variations, ambient conditions, brake activation history, and vehicle speed into the calculation model. By considering changes in these parameters over time and their interrelationships, the model achieves more accurate residual torque estimation that adapts to different operating conditions.
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
Enables real-time estimation and reduction of residual braking torque, improving fuel efficiency and reducing brake pad wear, while being compatible with on-board systems and compatible with remote monitoring.
Implementation Method 1
acquiring the temperature value of said braking element
Data Source
AI summary
Methods and devices for estimating a residual torque between the braked (e.g., brake disk or drum) and braking elements (e.g., support plate or friction block) of a vehicle based on acquired and reference temperatures, where the reference temperature can be calculated using an N-dimensional calculation model with an N-dimensional vector of input variables, and where said N-dimensional calculation model can be an analytical or experimental characterization of the thermal behavior of the brake.