Torque Machine Flux Control for Fast Response
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Solution Overview
Problem
Existing electrically-powered torque machines in powertrain systems face challenges in rapidly responding to torque changes due to mechanical inertia, control signal delays, and transient delays, which affect their ability to efficiently manage torque output.
Innovation Solution
A method is introduced to determine a predicted torque command that includes a fast torque reserve, allowing for a prescribed minimum rate of change in torque output by controlling the flux of the torque machine, using an adaptive rotor flux command process and an adaptive predicted torque routine to optimize direct and quadrature current commands, thereby enhancing the torque machine's responsiveness and minimizing power loss.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If conventional torque control methods are used, then the control system is simple, but the torque machine cannot respond rapidly to torque changes due to mechanical inertia and control signal delays
Solution Approach 1:
The control method determines a predicted torque command that anticipates future torque requirements before they are actually needed. By preparing the torque machine in advance with a predicted torque reserve, the system eliminates delays associated with mechanical inertia and control signal transmission, achieving rapid torque response without requiring complex additional hardware
Solution Approach 2:
The system dynamically adjusts the flux level of the torque machine based on the predicted torque command. By varying the flux dynamically rather than maintaining a fixed level, the control system optimizes the torque response characteristics adaptively, enabling fast torque changes while managing the complexity through software-based control logic
2Speed
If flux levels are increased to improve torque response, then torque responsiveness improves, but power loss increases
Solution Approach 1:
The control method optimizes the flux level parameter dynamically based on the predicted torque command requirements. Rather than maintaining high flux levels continuously (which would cause excessive power loss), the system adjusts the flux parameter to the minimum necessary level to achieve the required torque response, thereby reducing power loss while maintaining fast torque responsiveness
Solution Approach 2:
The system applies only the necessary amount of flux increase required to achieve the predicted torque reserve, rather than applying excessive flux. This partial action approach ensures that power loss is minimized while still achieving the prescribed minimum rate of change in torque output
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enables the torque machine to achieve a rapid and efficient torque response, compensating for delays and improving system efficiency by optimizing flux levels to meet the prescribed minimum rate of change in torque, thus enhancing overall powertrain system performance.
Implementation Method 1
electrically-powered torque machines in the form of multi-phase electric induction motors are employed on powertrain systems to generate propulsion torque
Data Source
AI summary
A method for controlling an electrically-powered torque machine of a powertrain system includes determining a predicted torque command to control the torque machine. A flux command is determined responsive to the predicted torque command. The flux command is a flux level providing a fast torque reserve that is responsive to the predicted torque command. The fast torque reserve is a prescribed minimum rate of change in torque output from the torque machine responsive to the predicted torque command. An inverter controller controls flux of the torque machine responsive to the flux command.