Vehicle Launch Control Parameters for Engine Stop-Start Drivability
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Solution Overview
Problem
Automatic engine stop-start systems in vehicles often result in disappointing vehicle acceleration due to restrained torque transfer, leading to compromised drivability and driver satisfaction, as they struggle to match driver expectations for torque delivery and noise vibration levels.
Innovation Solution
The system adjusts vehicle launch control parameters based on learned driver behavior, using a weighted driving style parameter that considers factors like accelerator pedal application rate, vehicle acceleration, and downshifting frequency to optimize engine and driveline operation during automatic engine starts and launches.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If engine torque increases at a fast rate to meet driver torque demand, then vehicle acceleration improves, but engine and driveline noise becomes greater than driver expectations
Solution Approach 1:
The system dynamically adjusts the torque transfer rate based on learned driver behavior patterns. The controller modifies engine torque delivery characteristics in real-time during vehicle launch, transitioning between different torque ramp-up rates to balance acceleration performance with noise reduction according to individual driver preferences.
Solution Approach 2:
The system changes key operating parameters including engine torque rate of change, transmission gear selection, and launch control settings. These parameters are adjusted based on the learned driving style to optimize the balance between acceleration performance and noise vibration characteristics.
2Object-generated harmful factors
If engine torque is restrained to control driveline noise and vibration, then noise and vibration are reduced, but vehicle acceleration becomes disappointing to the driver
Solution Approach 1:
The system dynamically adapts torque transfer characteristics based on learned driver behavior. Rather than using fixed restraint levels, the controller continuously adjusts torque delivery dynamics to match individual driver expectations, ensuring acceleration remains satisfying while noise is controlled at appropriate levels.
Solution Approach 2:
The system incorporates feedback from learned driver responses and vehicle performance data to continuously refine torque transfer characteristics. The controller uses accumulated information about driver preferences to optimize the balance between acceleration performance and noise control in subsequent launches.
3Use of energy by moving object
If automatic engine stop is implemented to conserve fuel, then fuel consumption is reduced, but vehicle drivability and driver perception of refinement are compromised
Solution Approach 1:
The system performs preliminary learning of driver behavior patterns during normal operation to prepare optimized launch parameters. By accumulating data about driver preferences over time, the system pre-configures optimal torque transfer characteristics that will be activated during automatic engine start events, ensuring smooth and satisfying launches.
Solution Approach 2:
The system uses the vehicle's existing sensors and control systems to automatically learn and adapt to driver preferences without requiring additional driver input or complex external systems. The control unit leverages available data from accelerator pedal position, vehicle speed, and engine parameters to independently optimize launch behavior.
Data Source
AI summary
Systems and methods for improving operation of a vehicle that includes an engine that may be automatically stopped and started are presented. In one example, vehicle launch control parameters are adjusted responsive to a learned driving style. The approach may provide vehicle launches that are closer to driver expectations than vehicle launches that are based solely on accelerator pedal position.