Vehicle Parameter Identification for Automated Driving Adaptation
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Solution Overview
Problem
Current automated vehicle systems lack the ability to accurately ascertain and adapt to varying vehicle parameters during day-to-day operations, particularly in trucks with high variability in payload and load distribution, which affects safe and efficient driving behavior on public roads.
Innovation Solution
A method that involves receiving and evaluating static and dynamic vehicle parameters through sensors and defined driving maneuvers, allowing for real-time adaptation of driving behavior and trajectory planning, enabling safe operation even with uneven cargo distribution and sloshing behavior.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If comprehensive parameter identification with test maneuvers is carried out to ascertain vehicle parameters, then measurement precision is improved, but loss of time increases and ease of operation deteriorates
Solution Approach 1:
The system performs preliminary action by integrating sensor data from ongoing operational driving maneuvers to pre-identify vehicle parameters before automated driving begins. This allows parameters like mass, center of gravity, and axle loads to be determined in advance during regular driving activities rather than requiring separate test maneuvers.
Solution Approach 2:
The vehicle system serves itself by using its own operational driving data and existing sensor infrastructure to automatically identify its own parameters. The planning unit utilizes measuring data from the vehicle's normal operation to determine vehicle parameters without external intervention or dedicated test procedures.
2Measurement precision
If comprehensive parameter identification with test maneuvers is carried out to ascertain vehicle parameters, then measurement precision is improved, but ease of operation deteriorates
Solution Approach 1:
The vehicle system serves itself by using its own operational driving data and existing sensor infrastructure to automatically identify its own parameters. The planning unit utilizes measuring data from the vehicle's normal operation to determine vehicle parameters without external intervention or dedicated test procedures.
Solution Approach 2:
The system achieves universality by using the vehicle's regular operational driving maneuvers for dual purposes: normal transportation and parameter identification. The same driving activities serve both operational and diagnostic functions, eliminating the need for separate test procedures.
3Extent of automation
If automated vehicle control is implemented without accurate vehicle parameter data, then extent of automation is improved, but reliability deteriorates
Solution Approach 1:
The system implements feedback by continuously monitoring measuring data from sensors during operational driving maneuvers and using this information to refine and update vehicle parameter identification. This feedback loop ensures that the automated control system has accurate, up-to-date parameter data for reliable operation.
Solution Approach 2:
The system performs preliminary action by integrating sensor data from ongoing operational driving maneuvers to pre-identify vehicle parameters before automated driving begins. This allows parameters like mass, center of gravity, and axle loads to be determined in advance during regular driving activities rather than requiring separate test maneuvers.
Data Source
AI summary
A method for adapting a driving behavior of a vehicle or of a vehicle combination based on vehicle parameters, in particular by a control unit. In the method, static vehicle parameters are received, preferably prior to starting the drive, measuring data being collected and received during at least one initiated driving maneuver, the measuring data received during the at least one initiated driving maneuver being evaluated for ascertaining at least one dynamic vehicle parameter, and the static vehicle parameters and/or ascertained dynamic vehicle parameters being transmitted to a vehicle control unit for the vehicle-specific adaptation of a driving behavior. A control unit, a computer program, and a machine-readable memory medium are also described.