Vehicle Parameter Feedback Control for Primary Mover Health
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Solution Overview
Problem
Existing vehicle control systems struggle to efficiently maintain or improve vehicle performance and health by achieving a target primary mover operating point while considering vehicle health.
Innovation Solution
A method and system that use a closed-loop feedback process to determine a target value for a vehicle parameter, based on a predicted primary mover performance measure, to operate the vehicle effectively and maintain health.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If vehicle parameters are adjusted to achieve target primary mover operating points, then fuel efficiency and primary mover performance improve, but vehicle health monitoring and prediction capability deteriorates due to lack of feedback mechanisms
Solution Approach 1:
The patent implements a closed-loop feedback system where actual primary mover performance measures are continuously obtained and compared with predicted values. The difference between actual and predicted performance feeds back into the system to update future predictions and adjust vehicle parameters, creating a self-correcting mechanism that simultaneously optimizes fuel efficiency and maintains vehicle health monitoring capability
Solution Approach 2:
The system performs preliminary predictions of primary mover performance using predicted vehicle parameters before actual operation occurs. These predictions are made in advance and used to set target vehicle parameters, allowing the system to proactively optimize performance while maintaining the capability to detect deviations from expected behavior that would indicate health issues
2Reliability
If closed-loop feedback processes are implemented to determine target vehicle parameters, then vehicle health and performance are maintained, but system complexity increases
Solution Approach 1:
The vehicle control system performs multiple functions using a unified approach: it predicts vehicle parameters, obtains actual performance measures, calculates differences, and updates predictions all within a single integrated control framework. This multi-functional design maintains vehicle health while avoiding the need for separate dedicated systems for each function, thereby limiting the increase in overall system complexity
Solution Approach 2:
The system uses its own predicted performance measures and actual performance data to automatically adjust and maintain optimal operation. The closed-loop feedback mechanism is self-regulating, using the system's own operational data to maintain health and performance without requiring external intervention or complex external control infrastructure
3Use of energy by moving object
If target primary mover operating points are pursued for fuel efficiency, then energy consumption decreases, but the ability to adapt to varying vehicle health conditions deteriorates
Solution Approach 1:
The system dynamically adjusts vehicle parameters based on real-time feedback from actual performance measurements. Rather than maintaining fixed target operating points, the system continuously adapts the predicted vehicle parameters based on the difference between actual and predicted performance, allowing it to respond to changing vehicle health conditions while maintaining energy efficiency
Solution Approach 2:
The system changes operational parameters based on the calculated difference between actual and predicted primary mover performance measures. When deviations are detected, the system adjusts vehicle parameters to compensate for health changes, enabling adaptation to varying vehicle conditions while pursuing energy-efficient operation through optimized parameter selection
Data Source
AI summary
A vehicle control system and method of operating a vehicle based on a target value for a vehicle parameter, wherein the target value is determined based on a closed loop feedback process that uses a predicted primary mover performance measure for a primary mover operating point (PMOP) to determine a target value indication. The method includes: obtaining a current vehicle parameter value for the vehicle parameter; determining a current primary mover performance measure for the PMOP; determining the predicted primary mover performance measure for the PMOP; determining the target value indication for the vehicle parameter based on the current primary mover performance measure, the predicted primary mover performance measure, and the current vehicle parameter value for the vehicle parameter; and operating the vehicle according to the target value for the vehicle parameter, wherein the target value for the vehicle parameter is obtained based on the target value indication.