Driver Command Interpretation for Transient Vehicle State Control
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Solution Overview
Problem
Current driver command interpreter systems face challenges in accurately determining a target vehicle state, especially during transient driving conditions, as they primarily rely on steady-state behavior and do not adequately consider vehicle agility and dynamic responses, leading to reduced handling control in performance vehicles and heavier electric vehicles.
Innovation Solution
A driver command interpreter system that receives dynamic variables and vehicle configuration information to build a transient vehicle dynamic model, solving for desired zeros that shape the target vehicle state, including transient yaw rate and lateral velocity, to achieve enhanced agility and stability, with real-time constraints such as tire tractive limits and actuator bandwidths.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If current driver command interpreter systems rely on steady-state behavior to determine target vehicle state, then the system complexity is reduced, but vehicle agility and transient response are degraded
Solution Approach 1:
The patent applies the Dynamics principle by transitioning from steady-state assumptions to a dynamic model that explicitly accounts for transient vehicle behavior. The system now considers time-varying parameters and transient responses when determining target vehicle state, allowing the vehicle control system to adapt to changing driving conditions and achieve better transient response without excessive complexity increase.
2Loss of time
If current driver command interpreter systems use steady-state behavior models, then calculation speed is improved, but handling control precision is reduced
Solution Approach 1:
The patent applies theParameter changesprinciple by modifying the underlying behavioral model from steady-state to transient-aware parameters. The system now uses parameters that capture transient vehicle dynamics characteristics, enabling more precise handling control predictions while maintaining computational efficiency through optimized calculation methods for the enhanced model.
3Ease of operation
If the system determines target vehicle state without considering transient conditions, then ease of operation is improved, but vehicle stability during transient conditions is reduced
Solution Approach 1:
The patent applies theFeedbackprinciple by incorporating transient vehicle behavior information into the target state determination process. The system uses feedback from transient dynamic models to adjust target vehicle state calculations, ensuring that stability requirements are met during transient conditions while maintaining reasonable operational simplicity through automated compensation mechanisms.
Data Source
AI summary
A driver command interpreter system for a vehicle includes one or more controllers that execute instructions to receive a plurality of dynamic variables, vehicle configuration information, and driving environment conditions, and determine a target vehicle state during transient driving conditions based on the plurality of dynamic variables from the one or more sensors, the vehicle configuration information, and the driving environment conditions. The one or more controllers build a transient vehicle dynamic model based on the target vehicle state during transient driving conditions, the plurality of dynamic variables, the vehicle configuration information, and the driving environment conditions, and solve for desired zeros corresponding to the target vehicle state during transient conditions.