Brake Pad Thickness Estimation via Sensor Fusion and Thermal Modeling
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Solution Overview
Problem
Existing systems fail to provide a continuous and accurate estimation of brake pad thickness as it wears, leading to inadequate advanced warning for replacement, especially during long trips, and are often expensive.
Innovation Solution
A system that employs sensor fusion and brake modeling to estimate brake pad thickness by using inputs such as friction material properties, cooling rate, temperature, vehicle mass, road grade, and braking energy, with the option to incorporate a brake pad sensor for verification and adjustment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional sensors with wires extending across the brake pad are used to detect brake pad thickness, then brake pad thickness can be detected at certain levels, but the system becomes expensive and does not provide continuous indication through the brake pad's life
Solution Approach 1:
The patent replaces mechanical wire-based sensors with a computational model that uses electrical signals from existing vehicle sensors (accelerometer, gyroscope, temperature sensors) to calculate brake pad thickness. The system substitutes physical measurement infrastructure with a mathematical model that processes readily available vehicle operation data to estimate brake pad wear continuously throughout its lifecycle.
Solution Approach 2:
The patent creates a virtual model of the brake pad wear process by copying and processing signals from existing vehicle sensors through a computational algorithm. Instead of installing new physical sensors, the system copies data from available sensors (accelerometer, gyroscope, temperature) and uses these copies to generate continuous thickness estimates, eliminating the need for expensive dedicated thickness sensors.
2Reliability
If mechanical scrapers contact the brake rotor to indicate worn brake pads, then the vehicle operator is alerted that the brake pad needs replacement, but only after the brake pad has worn down to a low level without advanced warning
Solution Approach 1:
The patent performs preliminary calculation of brake pad thickness continuously throughout the brake pad's service life using a computational model that processes real-time vehicle operation data. By continuously estimating thickness before the pad reaches critical wear levels, the system provides advance warning to operators, allowing them to plan maintenance during convenient downtime rather than being forced to stop operations when the mechanical scraper contacts the rotor.
Solution Approach 2:
The patent implements a feedback mechanism where the computational model continuously processes inputs from vehicle sensors (accelerometer, gyroscope, temperature) and updates the brake pad thickness estimate in real-time. This continuous feedback loop provides ongoing information about brake pad condition, enabling operators to monitor wear progression and receive timely warnings before critical wear occurs, rather than relying on the single-point mechanical scraper indication.
3Measurement precision
If a computational model using sensor fusion and brake modeling is implemented to estimate brake pad thickness continuously, then continuous and accurate estimation is achieved, but the system requires integration of multiple sensor inputs and modeling algorithms
Solution Approach 1:
The patent makes existing vehicle sensors serve multiple functions: the accelerometer and gyroscope are used not only for their primary vehicle dynamics functions but also as inputs to the brake pad wear estimation model. The temperature sensors serve dual purposes for both thermal management and wear calculation. This multi-functionality allows the system to achieve continuous thickness monitoring without adding dedicated sensors, reducing overall system complexity despite the sophisticated modeling required.
Solution Approach 2:
The patent enables the vehicle's existing sensor system to serve itself by using its own operational data (acceleration, rotation, temperature) to monitor the condition of its braking system. The computational model processes data that the vehicle already collects for other purposes, allowing the brake pad thickness estimation to be a byproduct of normal vehicle operation monitoring rather than requiring a separate dedicated measurement infrastructure.
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
Provides a continuous and accurate estimation of brake pad thickness and remaining life, enabling timely replacement and improving safety during long journeys without the need for expensive sensors.
Implementation Method 1
The system and method calculate brake work using total work minus losses, such as aerodynamic drag resistance, engine braking and/or braking power as braking torque times velocity divided by rolling resistance to determine the brake rotor and lining temperature.
Implementation Method 2
The system and method then use the brake temperature to determine the brake pad wear, where the wear is accumulated for each braking event.
Data Source
AI summary
A method for providing an estimate of brake pad thickness. The method employs fusion of sensors, if used, and driver brake modeling to predict the vehicle brake pad life. An algorithm is employed that uses various inputs, such as brake pad friction material properties, brake pad cooling rate, brake temperature, vehicle mass, road grade, weight distribution, brake pressure, brake energy, braking power, etc. to provide the estimation. The method calculates brake work using total work minus losses, such as aerodynamic drag resistance, engine braking and/or braking power as braking torque times velocity divided by rolling resistance to determine the brake rotor and lining temperature. The method then uses the brake temperature to determine the brake pad wear, where the wear is accumulated for each braking event. A brake pad sensor can be included to provide one or more indications of brake pad thickness from which the estimation can be revised.


