Parametric Driver Model for Vehicle Speed Trajectory
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Solution Overview
Problem
Current vehicle control systems lack the ability to autonomously determine and adjust target vehicle speed trajectories based on real-time conditions and driver preferences, leading to inefficiencies in fuel consumption and safety, particularly in semi-autonomous driving scenarios.
Innovation Solution
A vehicle control system utilizing a parametric driver model that determines target vehicle speed trajectories by combining first driver parameters, second driver parameters, and vehicle parameters, with real-time data from cameras, GPS, and remote sources, to adjust actuators such as throttle, fuel injection, and spark timing, ensuring optimal speed management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If a parametric driver model is used to determine target vehicle speed trajectory, then fuel efficiency is improved, but device complexity increases
Solution Approach 1:
The system changes parameters by using a parametric driver model that takes multiple driver parameters (aggression, comfort, safety, fuel economy weights) and vehicle parameters as inputs to dynamically determine optimal target speed trajectory. This allows the system to adapt to different driving conditions and preferences while optimizing fuel efficiency.
Solution Approach 2:
The control system is segmented into distinct functional modules: a driver parameters module that determines driver parameters based on conditions, a target speed module that calculates the target speed trajectory using the parametric model, and a control module that adjusts actuators. This modular architecture manages complexity by dividing the control function into manageable segments.
2Reliability
If real-time conditions are monitored to adjust target speed trajectory, then safety is improved, but device complexity increases
Solution Approach 1:
The system implements feedback by continuously monitoring real-time conditions (road grade, curvature, traffic, weather) and using this information to adjust the target speed trajectory. The driver parameters module receives condition inputs and feeds back optimized parameters to the target speed module, creating a closed-loop control system that enhances safety.
Solution Approach 2:
The system performs preliminary action by determining the target speed trajectory in advance for a future time period based on predicted conditions. This allows the control system to proactively adjust speed before entering hazardous conditions, improving safety through advance preparation rather than reactive response.
3Adaptability or versatility
If multiple driver parameters are used to determine target speed, then adaptability is improved, but device complexity increases
Solution Approach 1:
The parametric driver model serves multiple functions by simultaneously considering driver aggression, comfort, safety, and fuel economy parameters to determine the target speed trajectory. This universal model can adapt to different driver preferences and conditions without requiring separate control systems for each parameter, managing complexity through multi-functionality.
Data Source
AI summary
A control system of a vehicle includes: a target speed module configured to, using a parametric driver model and based on first driver parameters, second driver parameters, and vehicle parameters, determine a target vehicle speed trajectory for a future predetermined period; a driver parameters module configured to determine the first driver parameters based on conditions within a predetermined distance in front of the vehicle; and a control module configured to adjust at least one actuator of the vehicle based on the target vehicle speed trajectory and a present vehicle speed.