Hybrid Engine Clutch Torque Estimation via Weighted Sensor Fusion
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Solution Overview
Problem
Conventional engine clutch torque estimation methods in hybrid electric vehicles require artificial slip learning modes and are not accurate in real-time, especially in transient states, lacking effective control performance due to incomplete consideration of variables.
Innovation Solution
An apparatus and method that combine forward and reverse estimation devices to determine engine clutch transfer torque using engine torque information and wheel speed data, with a weight determination device applying weights to combine estimates for precise real-time calculations, eliminating the need for artificial slip learning and reducing energy consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional engine clutch torque estimation methods are used, then the system structure is simple, but the measurement precision is poor especially in transient states
Solution Approach 1:
The torque estimation is divided into two independent estimation values: a first estimation value from engine torque information and a second estimation value from wheel speed data. Each estimation can be calculated separately using different methods and data sources, then combined to achieve high precision without requiring a single complex estimation system.
Solution Approach 2:
The patent combines multiple estimation approaches by calculating both a first estimation value (from engine torque) and a second estimation value (from wheel speed), then merging them through a weighted combination. This merging of independent estimation methods achieves high measurement precision while keeping each individual estimation method relatively simple.
2Measurement precision
If artificial slip learning modes are used for torque estimation, then the measurement precision improves, but the use of energy increases due to additional control operations
Solution Approach 1:
The system uses existing operational data (engine torque information and wheel speed data) that are already being collected for other control purposes to calculate the torque estimation. No additional artificial slip learning modes or extra energy-consuming operations are required, as the estimation leverages readily available information from normal vehicle operation.
Solution Approach 2:
The patent changes the estimation approach from requiring artificial slip conditions to using normal operational parameters. By calculating estimation values from standard engine torque information and wheel speed data during regular operation, the system achieves accurate torque estimation without the energy overhead of artificial slip learning modes.
3Measurement precision
If multiple estimation methods are combined with weight determination, then the measurement precision improves, but the device complexity increases
Solution Approach 1:
The weight for combining estimation values is determined dynamically based on current vehicle operating conditions. The controller adjusts the weight according to real-time parameters such as vehicle speed, acceleration, and operating mode, allowing the system to adapt to changing conditions and maintain high precision across different scenarios without requiring a statically complex system design.
Solution Approach 2:
The patent changes the combination approach from fixed-weight to dynamic-weight based on operating parameters. By adjusting the weight according to vehicle state (such as using the second estimation value more heavily during transient conditions), the system achieves high measurement precision across varying conditions while keeping the control logic relatively simple through parameter-based adaptation.
Data Source
AI summary
An apparatus and method for accurately estimating the transfer torque of an engine clutch provided between an engine and a motor in a hybrid electric vehicle, may include a forward estimation device configured for determining a first estimate of engine clutch transfer torque using engine torque information, a reverse estimation device configured for determining a second estimate of the engine clutch transfer torque using a drive system model including wheels, a transmission, and a motor and using wheel speed information, a weight determination device configured for determining a weight based on brake input by a driver and whether predetermined devices in the vehicle are operated, and an estimate combination determination device configured for determining a final estimate of the engine clutch transfer torque as a value combined by applying a weight to the determined first estimate and the determined second estimate.