Electric Drive Train Torque Control for Gear Mesh Noise Damping
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Solution Overview
Problem
Existing drive train systems with electromotive drives face challenges in effectively damping noise caused by long-term changes in tooth stiffness due to wear and aging, which are not accounted for during the design phase.
Innovation Solution
A method for operating a drive train with an electromotive drive that involves determining the current state variable based on tooth stiffness, assigning it to a classification space, and adjusting the torque control by superimposing a periodic torque change signal in phase with tooth stiffness changes to better damp noise.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If a periodic torque change signal is superimposed on the control signal to damp transmission noise, then noise damping performance is improved, but the system cannot adapt to long-term changes in tooth stiffness due to wear and aging
Solution Approach 1:
The patent implements a feedback mechanism by continuously monitoring operating state signals (torque, speed, temperature) and using them to determine a state variable that reflects tooth stiffness. The control system compares the current state variable with a target state variable and adjusts the periodic torque change signal accordingly, enabling the system to adapt to long-term changes in tooth stiffness due to wear and aging while maintaining effective noise damping
Solution Approach 2:
The patent transforms the static torque control into a dynamic adaptive control system. The periodic torque change signal is continuously adjusted based on the determined state variable that reflects current tooth stiffness conditions. This dynamic adjustment allows the noise damping performance to be maintained throughout the service life of the transmission, accommodating progressive changes in tooth stiffness
2Duration of action of stationary object
If the torque control is adjusted based on current state variable to adapt to wear and aging, then long-term noise damping is improved, but the control system complexity increases
Solution Approach 1:
The control system performs self-adjustment by using its own operating state signals (torque, speed, temperature) to determine the state variable reflecting tooth stiffness. The system autonomously compares the current state with the target state and modifies the periodic torque change signal without requiring external intervention or additional complex sensing systems, thereby achieving long-term adaptive noise damping with minimal increase in system complexity
Solution Approach 2:
The control system utilizes existing operating state signals that are already measured for other control purposes (torque control, speed control, thermal management) and repurposes them for determining tooth stiffness state. This multi-functional use of existing sensors and signals avoids the need for additional dedicated sensors or measurement systems, limiting the increase in system complexity while achieving adaptive long-term noise damping
Data Source
AI summary
The invention relates to a method for operating a drive train (2) having an electromotive drive (4), wherein a speed and a drive torque of the electromotive drive (4) can be converted via a toothed transmission stage (12) for an output (19), and the electromotive drive (4) is controlled with a control signal (40), wherein a periodic torque change signal (5) which alternately reduces and amplifies the drive torque is superimposed on the control signal (40) in order to damp transmission noises, wherein the periodic torque change signal (5) is in phase with a periodic change in the tooth stiffness of the toothed transmission stage (12). The method according to the invention proposes, on the basis of a software architecture extended by machine-learning knowledge, detecting a change in state of the drive train over the service life that can be attributed to a long-term change in the tooth stiffness of the transmission stage, and based on these changes, to adjust a torque control in such a way that progressive noise effects caused by ageing or wear can be better damped.