Vehicle Driver Model Controller with EER Calibration
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Solution Overview
Problem
Numerical vehicle models based solely on feedback control lack the ability to 'look ahead' and accurately represent human driving behavior, leading to overcompensation in acceleration and braking, which affects Energy Economy Rating (EER) and poorly reflects real-world fuel economy results.
Innovation Solution
A controller with energy economy rating (EER) calibration logic that adjusts a look-ahead feed-forward mapping window for vehicle controls, allowing the system to anticipate future velocity changes and incorporate target EER values, enabling more representative human-like driving behavior.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If feedback control is used to control vehicle velocity, then the control system is simple to implement, but the driver model cannot anticipate future velocity changes and overcompensates in acceleration and braking
Solution Approach 1:
The patent implements a look-ahead driver model that uses a target velocity trace to anticipate future velocity changes before they occur. The model calculates desired acceleration based on future target velocity values rather than just current velocity errors, allowing the driver model to prepare appropriate acceleration commands in advance. This preliminary action eliminates overcompensation by preventing excessive acceleration and braking events that would occur with pure feedback control.
2Speed
If a numerical cycle driver overcompensates to achieve target velocity, then the velocity tracking is aggressive, but the Energy Economy Rating (EER) is violated and fuel economy results are invalid
Solution Approach 1:
The patent implements a feedback mechanism where the calculated desired acceleration from the look-ahead model is compared with the actual vehicle acceleration. The difference (error signal) is fed back to adjust the acceleration command, creating a closed-loop control system. This feedback ensures that the aggressive look-ahead commands are moderated to match actual vehicle capabilities and road conditions, preventing EER violations while maintaining responsive velocity tracking.
3Measurement precision
If the look-ahead time window is increased to improve anticipation accuracy, then future velocity changes are better predicted, but the computational complexity and data requirements increase
Solution Approach 1:
The patent implements a variable look-ahead time window that adjusts the prediction horizon based on driving conditions and vehicle state. Rather than using a fixed extended time window that would always increase complexity, the system applies partial look-ahead action by adjusting the window size dynamically. This allows the controller to use longer prediction windows only when beneficial, reducing unnecessary computational complexity while maintaining prediction accuracy when needed.
Data Source
AI summary
A controller with energy economy rating (EER) calibration logic is configured to adjust a look-ahead time and feed-forward mapping window for vehicle controls according to EER.