Motor Vehicle Setpoint Trajectory Correction for Drivetrain Limitations
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Solution Overview
Problem
Existing methods for controlling the driving power of hybrid vehicles do not adequately consider limitations in the drivetrain, leading to inaccuracies in maintaining setpoint trajectories and inefficient energy consumption.
Innovation Solution
A method that involves planning an initial setpoint trajectory and receiving a power characteristic variable curve, which is then corrected to account for drivetrain limitations, allowing for accurate guidance and energy-efficient operation by considering factors like maximum power capabilities and friction coefficients.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing methods for controlling driving power are used, then the control process is simple, but the setpoint trajectory cannot be accurately maintained and energy consumption is inefficient
Solution Approach 1:
The patent applies preliminary action by planning an initial setpoint trajectory in advance and receiving an implementable power characteristic variable curve before executing the control. This allows the system to pre-calculate and prepare the trajectory considering drivetrain limitations, thereby improving trajectory accuracy without adding complex real-time control mechanisms during execution.
Solution Approach 2:
The patent implements feedback by comparing the planned initial setpoint trajectory with the received implementable power characteristic variable curve, then correcting the trajectory based on this comparison. This closed-loop feedback mechanism ensures the corrected trajectory is both accurate and feasible within drivetrain limitations, resolving the contradiction between accuracy and complexity.
2Reliability
If drivetrain limitations are not considered, then the control process is simpler, but the setpoint trajectory tracking becomes inaccurate
Solution Approach 1:
The system performs preliminary action by receiving the implementable power characteristic variable curve in advance, which encodes drivetrain limitations. This allows the trajectory planning to incorporate these limitations from the outset, ensuring reliable trajectory tracking without requiring complex real-time adjustments during execution.
Solution Approach 2:
The patent uses feedback by comparing the initial trajectory plan with the implementable power characteristics and correcting the trajectory accordingly. This ensures the final trajectory reliably accounts for drivetrain limitations while maintaining a relatively simple control structure through systematic correction rather than complex real-time control.
3Use of energy by moving object
If the initial setpoint trajectory is used without correction, then the control implementation is simpler, but energy consumption is not optimized
Solution Approach 1:
The patent applies feedback by comparing the initial setpoint trajectory with the implementable power characteristic variable curve and generating a corrected trajectory. This feedback loop optimizes energy consumption by adjusting the trajectory to better match actual drivetrain capabilities and opportunities for energy recovery, without requiring fundamentally complex processing.
Solution Approach 2:
The system implements parameter changes by modifying the setpoint trajectory parameters based on the power characteristic variable curve. This allows optimization of energy consumption through adjusted speed, acceleration, or timing parameters while keeping the overall control architecture relatively simple.
4Measurement precision
If drivetrain limitations are adequately considered, then the setpoint trajectory can be accurately maintained, but the control process becomes more complex
Solution Approach 1:
The patent resolves this contradiction by performing preliminary action - receiving and processing the implementable power characteristic variable curve in advance. This allows accurate trajectory planning that considers drivetrain limitations to be done beforehand, achieving high precision without requiring complex real-time control mechanisms during trajectory execution.
Solution Approach 2:
The system uses feedback to compare the initial trajectory plan with the implementable power characteristics and generate corrections. This feedback mechanism achieves accurate trajectory planning that accounts for drivetrain limitations while maintaining relatively simple control logic through systematic comparison and adjustment rather than complex optimization algorithms.
Data Source
AI summary
A method for ascertaining a setpoint trajectory of a motor vehicle, an initial setpoint trajectory being planned and transmitted to an evaluation unit, a curve of a power characteristic variable, which is implementable as a function of the initial setpoint trajectory, being received from the evaluation unit, and a corrected setpoint trajectory being determined therefrom as a function of the ascertained implementable curve of the power characteristic variable.