Vehicle Driving State Estimation With Phase-Compensated Sensor Data
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Solution Overview
Problem
Existing methods for estimating vehicle dynamics parameters like center-of-mass speed and float angle are prone to inaccuracies due to phase shifts in sensor data, which can lead to instability in driving state calculations, affecting the performance of systems like anti-lock braking systems, especially during sporty driving.
Innovation Solution
A method that involves reading phase-shifted sensor data, compensating it using a filtering algorithm to remove phase shifts, and integrating the compensated data with further vehicle parameters through extended or unscented Kalman filters to accurately ascertain the driving state, thereby improving the accuracy and robustness of vehicle state estimation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If phase-shifted sensor data is used directly for driving state estimation, then the system complexity is reduced, but the measurement precision and reliability of driving state estimation deteriorate due to phase shifts causing inaccuracies in center-of-mass speed and float angle calculations
Solution Approach 1:
The patent applies a preliminary phase compensation action to the sensor data before it is used for driving state estimation. By pre-processing the phase-shifted sensor data through a compensation algorithm, the system eliminates phase shift errors in advance, ensuring accurate center-of-mass speed and float angle calculations without adding complexity to the main estimation system
Solution Approach 2:
The patent introduces a phase compensation algorithm as an intermediary component between the sensor data acquisition and the driving state estimation. This intermediary process corrects the phase-shifted sensor data by calculating and applying compensation values, thereby mediating the error transmission and improving the overall measurement precision without requiring fundamental changes to the estimation system
2Measurement precision
If phase-compensated sensor data is calculated using a filtering algorithm, then the measurement precision of driving state estimation is improved, but the loss of time increases due to additional processing steps
Solution Approach 1:
The patent changes the temporal parameters of the phase compensation process by optimizing the filtering algorithm to operate in real-time or near real-time. By adjusting the compensation calculation to use current and recent sensor data with optimized computational parameters, the system achieves phase correction with minimal time delay, maintaining high measurement precision while reducing processing time loss
3Speed
If phase-shifted sensor data is used in wheel slip-based driving functions, then the responsiveness is improved, but the reliability deteriorates due to time delays affecting anti-lock braking system performance
Solution Approach 1:
The patent applies preliminary anti-action by pre-calculating and compensating for phase shifts in the sensor data before it reaches the wheel slip-based driving functions. By anticipating and correcting the phase error in advance, the system prevents the time delay from affecting the anti-lock braking system performance, thereby maintaining both responsiveness and reliability
Data Source
AI summary
A method for ascertaining a driving state of a vehicle. The method includes: reading in phase-shifted sensor data representing an acceleration and/or a rotation rate of the vehicle; ascertaining phase-compensated sensor data based on the read-in phase-shifted sensor data using a filtering algorithm; and ascertaining the driving state of the vehicle using the ascertained phase-compensated sensor data by means of a computing unit.