Dynamic Tire Model Control for Heavy-Duty Vehicle Wear Reduction
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Solution Overview
Problem
Existing methods for managing vehicle motion in heavy-duty vehicles, such as trucks and semi-trailers, do not adequately address the need for reducing tire wear and optimizing energy efficiency, particularly in conditions of excessive wheel slip and varying road surfaces.
Innovation Solution
A method for controlling vehicle motion that incorporates a dynamic tire model to estimate tire parameters and vehicle state, allowing for real-time adaptation and optimization of tire wear and energy efficiency by coordinating motion support devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Power
If excessive torque is applied to wheels to improve vehicle acceleration and hill-climbing performance, then vehicle power and speed are improved, but wheel slip increases causing unpredictable vehicle behavior and excessive energy consumption
Solution Approach 1:
The system continuously monitors wheel slip conditions and feeds this information back to the control unit, which adjusts torque distribution in real-time to maintain optimal traction while minimizing energy waste from excessive slip
Solution Approach 2:
The torque distribution strategy dynamically adapts to changing road conditions and vehicle state, transitioning between different control modes (e.g., from maximum power to slip-limited power) based on real-time sensor data and tyre model predictions
2Ease of operation
If conventional vehicle control strategies are used to maintain simple operation, then ease of operation is preserved, but tyre wear increases due to lack of optimization
Solution Approach 1:
The system automatically optimizes tyre wear by continuously monitoring vehicle operation and adjusting control parameters based on real-time tyre state estimates, eliminating the need for driver intervention while extending tyre life
Solution Approach 2:
The control system dynamically adjusts operational parameters such as torque distribution and wheel slip limits based on estimated tyre wear rate, transforming the control strategy to minimize wear while maintaining vehicle performance
3Device complexity
If a static tyre model is used to simplify the control system, then device complexity is reduced, but the system cannot adapt to changing tyre properties and operating conditions
Solution Approach 1:
The tyre model transitions from a static parameter set to a dynamic system that continuously updates tyre state estimates based on sensor measurements and vehicle operating conditions, enabling adaptation without requiring complex physical models
Solution Approach 2:
The system replaces complex mechanical tyre testing and characterization with a computational tyre model that uses sensor data and algorithms to estimate tyre properties, reducing physical complexity while maintaining adaptability
Data Source
AI summary
A method for controlling motion of a heavy-duty vehicle includes obtaining input data related to one or more tire parameters of a tire on the heavy-duty vehicle, estimating 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 tire wear rate and vehicle motion state, wherein the tire model is parameterized by the one or more tire parameters, estimating vehicle motion state, and controlling motion of the heavy-duty vehicle based on the tire model and on the vehicle motion state.