Dynamic Tire Modeling for Heavy-Duty Vehicle Slip Control
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Solution Overview
Problem
Heavy-duty vehicles face challenges in managing wheel slip and energy efficiency due to unpredictable behavior and energy inefficiency caused by excessive wheel slip, which existing technologies have not adequately addressed.
Innovation Solution
A method for controlling heavy-duty vehicle motion by using dynamically adapted tire models based on real-time data from sensors and tire parameters, including wheel slip, tire pressure, temperature, and design characteristics, to optimize wheel force generation and reduce rolling resistance and wear.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a static tire model is used for vehicle control, then the control system is simple, but the tire model does not accurately reflect changing tire properties over time
Solution Approach 1:
The patent implements a dynamic tire model that continuously adapts to changing tire properties by updating tire parameters based on real-time sensor measurements. The tire model transitions from a static representation to a dynamic one that evolves with tire wear, temperature, and operating conditions, thereby maintaining accuracy without requiring complete model replacement.
Solution Approach 2:
The system incorporates feedback loops where sensor measurements of tire behavior are continuously fed back to update the tire model parameters. This closed-loop approach allows the tire model to self-correct and adapt to actual tire conditions, improving accuracy while keeping the control system manageable through automated parameter adjustment.
2Reliability
If tire parameters are not updated, then the control system is simple to operate, but the tire model becomes inaccurate as tires wear and conditions change
Solution Approach 1:
The tire model system performs self-updating by automatically adjusting its parameters based on sensor feedback without requiring manual intervention. The system serves itself by detecting tire condition changes and adapting the model accordingly, thereby maintaining reliability while preserving ease of operation through automated self-adjustment.
Solution Approach 2:
The patent systematically changes tire model parameters based on measured tire behavior and operating conditions. By dynamically adjusting parameters such as friction coefficients and stiffness values according to actual tire performance, the system maintains high reliability while the automated parameter management keeps operation simple for the user.
3Use of energy by moving object
If wheel slip is not controlled, then the control strategy is simpler, but energy efficiency decreases and tire wear increases
Solution Approach 1:
The system performs preliminary actions by continuously monitoring tire parameters and predicting potential wheel slip conditions before they occur. By proactively adjusting control parameters based on predicted tire behavior, the system prevents excessive wheel slip and maintains energy efficiency without requiring complex reactive control strategies.
Solution Approach 2:
The patent replaces complex mechanical wheel slip control mechanisms with a software-based tire model and control algorithm. By using computational methods to predict and manage wheel slip through torque optimization, the system achieves energy efficiency improvements while keeping the physical mechanical system simple.
Data Source
AI summary
A method for controlling motion of a heavy-duty vehicle, the method including:obtaining input data related to one or more parameters of a tire on the heavy-duty vehicle,determining at least part of the one or more tire parameters based on the input data,configuring a tire model, wherein the tire model defines a relationship between wheel slip and generated wheel force, wherein the tire model is parameterized by the one or more tire parameters, andcontrolling the motion of the heavy-duty vehicle based on the relationship between wheel slip and generated wheel force.