Tyre Pressure Monitoring Using Load-Dependent Warning Thresholds
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing tire pressure monitoring systems struggle to adapt tire pressure to varying vehicle loads without requiring repeated type approvals and software updates, leading to potential safety issues and increased fuel consumption due to suboptimal tire pressure adjustments.
Innovation Solution
A method that utilizes a tire sensor module with a programmable computing unit and algorithm to adjust tire pressure based on a load-dependent tire pressure characteristic curve, incorporating temperature compensation, allowing the system to operate optimally across different loads without needing new approvals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If tire pressure is adjusted to match varying vehicle loads, then fuel consumption and tire wear are reduced, but the system requires repeated type approvals and software updates
Solution Approach 1:
The system pre-stores multiple tire pressure characteristic curves corresponding to different vehicle loads in its memory. When operation begins, the algorithm automatically selects and applies the appropriate curve based on detected load conditions, eliminating the need for runtime software updates or type approvals for each load scenario.
Solution Approach 2:
The system dynamically adapts tire pressure monitoring by switching between different pressure characteristic curves based on real-time load detection. This dynamic adaptation allows the system to optimize for current conditions without requiring structural changes or re-approval processes.
2Productivity
If tire pressure is adjusted to match varying vehicle loads, then tire efficiency is optimized, but false warning signals may occur without proper adaptation
Solution Approach 1:
The system pre-calculates and stores pressure characteristic curves for different load conditions, establishing accurate reference values before operation. This prevents false warnings by ensuring the monitoring system compares actual pressure against the correct load-specific reference rather than a fixed value.
Solution Approach 2:
The system changes the reference pressure parameter based on detected load conditions by selecting from pre-stored characteristic curves. This parameter adaptation ensures that warning thresholds are always appropriate for current operating conditions, maintaining reliability across varying loads.
3Ease of manufacture
If a fixed reference pressure is used for tire pressure monitoring, then type approval is simplified, but the system cannot adapt to varying vehicle loads
Solution Approach 1:
The system pre-stores multiple pressure characteristic curves for different load conditions during manufacturing. This preliminary preparation allows the system to maintain a single type approval while providing adaptive functionality, as all necessary data is prepared in advance without requiring additional approval processes.
Solution Approach 2:
The monitoring system achieves multi-functionality by incorporating multiple pressure characteristic curves within a single system. This universal design allows one type-approved system to handle various load conditions, eliminating the need for separate approvals for each load scenario.
4Reliability
If tire pressure monitoring system is type-approved for specific conditions, then regulatory compliance is achieved, but frequent software updates are needed for different loads
Solution Approach 1:
The system incorporates all necessary pressure characteristic curves for different load conditions during initial type approval. This preliminary inclusion of all scenarios eliminates the need for subsequent software updates to maintain compliance, as the system already contains the full range of approved operating parameters.
Solution Approach 2:
The system uses pre-stored copies of pressure characteristic curves for different load conditions. These copied data sets allow the system to simulate different approval scenarios without actually undergoing separate approval processes, maintaining compliance while avoiding update cycles.
Data Source
Figure 1
Figure 2
Figure 3~4
AI summary
In a method for operating a tire pressure monitoring system in a vehicle, a tire pressure is monitored by a tire sensor module. The tire sensor module has a pressure sensor and a transmitting unit that communicates with a vehicle control unit via antennas in the vehicle. The tire sensor module periodically transmits a sensor data set to the control unit, which contains at least data for the tire pressure and data for identifying the tire sensor module. The tire sensor module contains a programmable computing unit with an algorithm that adds warning signal data to the sensor data set to be transmitted if the pressure sensor detects a drop in tire pressure in a monitored tire beyond a predetermined maximum permissible amount. Tire pressure values are stored in a memory of the computing unit as data of a load-dependent tire pressure characteristic curve or table.The current axle load is determined by load sensors, transmitted as data to the processing unit, and stored there in a memory. The algorithm uses the tire pressure determined based on the axle load from the data of the load-dependent tire pressure characteristic curve as the initial value for detecting the maximum permissible amount of drop. Warning signal data is added to the sensor data set if the tire pressure falls below the permissible amount determined from the load-dependent tire pressure characteristic curve or table. This warning signal data can be processed by the control unit to generate a warning signal.