Dynamic Tyre Model for Heavy-Duty Rolling Resistance Control
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Solution Overview
Problem
Heavy-duty vehicles face challenges in managing motion efficiently and safely, particularly in uphill conditions and on varying road surfaces, due to issues with wheel slip and energy consumption.
Innovation Solution
A method for controlling the motion of heavy-duty vehicles by obtaining input data on tyre parameters, estimating these parameters, configuring a tyre model that defines the relationship between tyre wheel rolling resistance and vehicle motion state, and using this model to control vehicle motion and optimize tyre rolling resistance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a well-designed tyre is used to provide high friction, then vehicle traction and braking performance are improved, but rolling resistance increases leading to higher energy consumption
Solution Approach 1:
The patent applies dynamics by continuously updating the tyre model with real-time sensor data (temperature, pressure, wear) to dynamically adjust rolling resistance estimates. This allows the system to adapt to changing tyre conditions and optimize energy consumption while maintaining traction performance through active control adjustments.
Solution Approach 2:
The patent changes parameters by incorporating multiple tyre parameters (temperature, pressure, wear, slip) into the rolling resistance model. By monitoring and adjusting these parameters in real-time, the system optimizes the balance between friction performance and rolling resistance, enabling energy-efficient operation while maintaining safe vehicle control.
2Use of energy by moving object
If excessive wheel slip is prevented by reducing torque application, then energy efficiency improves, but vehicle acceleration and uphill performance deteriorate
Solution Approach 1:
The patent implements feedback by continuously monitoring wheel slip, tyre temperature, pressure, and wear conditions, then using this information to adjust torque application through the tyre model. This closed-loop control prevents excessive slip and energy waste while maintaining adequate power delivery for acceleration and uphill performance by optimizing torque distribution in real-time.
Solution Approach 2:
The patent applies preliminary action by using the tyre model to predict optimal torque application before excessive slip occurs. By estimating rolling resistance and tyre capabilities in advance based on current tyre parameters, the system can proactively adjust torque to prevent energy-wasting slip while maintaining power delivery capability.
3Device complexity
If a static tyre model is used for vehicle control, then system complexity is reduced, but accuracy in predicting rolling resistance under varying tyre conditions deteriorates
Solution Approach 1:
The patent transitions from a static to a dynamic tyre model that continuously updates based on sensor inputs. The model adapts to changing tyre conditions (temperature, pressure, wear) by recalculating rolling resistance estimates in real-time, significantly improving prediction accuracy while maintaining manageable system complexity through modular architecture.
Solution Approach 2:
The patent creates a universal tyre model that handles multiple tyre parameters and conditions through a single integrated system. This multi-functional model can predict rolling resistance across various operating conditions (different temperatures, pressures, wear levels) without requiring separate models for each scenario, balancing accuracy with complexity.
Data Source
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AI summary
A method for controlling motion of a heavy-duty vehicle (100), the method comprising obtaining input data related to one or more tyre parameters of a tyre (150, 160, 170) on the heavy-duty vehicle (100), estimating at least part of the one or more tyre parameters based on the input data, configuring a tyre model, wherein the tyre model defines a relationship between tyre wheel rolling resistance and vehicle motion state, wherein the tyre model is parameterized by the one or more tyre parameters, estimating vehicle motion state, and controlling motion of the heavy-duty vehicle based on the tyre model and on the vehicle motion state.