Hybrid Torque Command Generation for NVH Reduction
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Solution Overview
Problem
Hybrid electric vehicles face challenges in rapidly responding to driver inputs while effectively reducing noise, vibration, and harshness (NVH) problems caused by torsion and backlash in the drive system, as existing solutions require excessive process steps and fail to provide real-time control.
Innovation Solution
A driving torque command generating apparatus and method that includes detectors for driver inputs, engine, motor, and wheel speeds, and a controller that generates engine and motor torque commands based on torsional state observation values, enabling real-time optimization of torque commands to reduce NVH issues.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If a rate limiter or filter is used to reduce NVH problems, then noise and vibration are reduced, but the vehicle response to driver input becomes slow
Solution Approach 1:
The torsion observer estimates the torsional state of the drive system in advance before the NVH problems occur. By predicting the torsional vibrations and backlash based on current system state, the controller can pre-adjust torque commands to prevent harmful vibrations and noise, while still maintaining rapid response to driver input.
Solution Approach 2:
The system implements a feedback mechanism where the torsion observer continuously monitors the torsional state of the drive system and feeds this information back to the controller. The controller uses this feedback to dynamically adjust torque commands, reducing NVH problems when torsional vibrations are detected while maintaining rapid response capability when the system is in a normal state.
2Adaptability or versatility
If multiple diversified torque command methods are used for different driving modes, then driving customization is improved, but the number of process steps increases significantly
Solution Approach 1:
The torsion observer serves as a universal component that handles all driving modes and conditions through a single integrated algorithm. Instead of implementing separate torque command methods for different driving modes, the observer adaptively estimates torsional state regardless of the operating condition, simplifying the control architecture while maintaining versatility across all driving scenarios.
Solution Approach 2:
The system achieves driving customization by dynamically changing the torque command parameters based on the estimated torsional state rather than using different control algorithms for different modes. The observer continuously adjusts torque magnitude and timing parameters according to real-time torsional conditions, providing adaptive control that works across all driving modes without requiring multiple specialized processes.
Data Source
AI summary
A driving torque command generating apparatus and method of operating a hybrid electric vehicle can obtain torsional state observation values using an engine speed, a motor speed, and a wheel speed detected by an engine speed detector, a motor speed detector, and a wheel speed detector, respectively, together with a motor torque command generated in a previous period, and generate an engine torque command and a motor torque command of a driving torque command based on a driving input value input by a driving input detector and the torsional state observation values.