Dynamic Look-Up Table for Multi-Controller Powertrain Torque Coordination
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Powertrain systems with multiple torque actuators controlled by separate controllers often experience delays in responding to system demands due to the need for communication between controllers, leading to slower coordination and potential high-frequency torque command reversals.
Innovation Solution
A powertrain assembly with a dynamic look-up table that allows the first controller to convert input signals into torque demands and the second controller to determine optimal torque allocations, enabling immediate reaction to changes in torque requests by using estimated values during communication lags and updating the table with actual values when available, thus reducing delays and reversals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If separate controllers control multiple torque actuators with communication between them, then coordination between actuators is achieved, but response speed to system demands decreases
Solution Approach 1:
The first controller pre-calculates and executes torque commands based on stored torque production allocation values before receiving optimal allocation data from the second controller. This preliminary action eliminates the waiting period during communication lags, enabling immediate response to torque demands while maintaining coordinated control through subsequent updates.
2Measurement precision
If the first controller waits for optimal torque allocations from the second controller before acting, then accurate torque distribution is achieved, but high-frequency torque command reversals occur
Solution Approach 1:
The first controller uses pre-stored torque production allocation values to immediately determine torque commands without waiting for the second controller's optimal allocation data. This preliminary calculation prevents torque command reversals by ensuring continuous, stable torque delivery while maintaining accuracy through subsequent updates when optimal allocations become available.
Solution Approach 2:
The system uses simplified, pre-stored torque production allocation values as temporary substitutes for the optimal torque allocations calculated by the second controller. These stored values enable immediate control actions without the complexity and delay of real-time inter-controller communication, providing stable torque commands that are later refined when accurate allocations are received.
3Reliability
If real-time communication between controllers is implemented for optimal torque allocation, then coordinated control is achieved, but system complexity increases
Solution Approach 1:
The first controller stores torque production allocation values in advance, eliminating the need for real-time communication with the second controller during torque demand execution. This preliminary preparation maintains coordinated control through pre-calculated values while significantly reducing system complexity by removing the requirement for continuous inter-controller data exchange.
Data Source
AI summary
A powertrain assembly has multiple torque actuators. The assembly includes a first controller configured to control a first torque actuator and a second controller configured to control a second torque actuator. The first controller is configured to receive a signal from an input sensor and convert the signal into a torque demand. The second controller is configured to receive the torque demand from the first controller and determine respective optimal torque allocations for the first and second torque actuators based on the torque demand and a plurality of optimization factors. The first controller includes a processor and tangible, non-transitory memory on which is recorded instructions for executing a method of controlling the multiple torque actuators across the at least two controllers via a dynamic look-up table. The dynamic look-up table is populated by a plurality of stored torque production allocation values based on a respective plurality of torque requests.