Active Downforce Control With Adaptive Bias Bounds for Understeer

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Existing downforce control systems rely heavily on feedforward commands, requiring frequent calibration and leading to inconsistent and excessive or insufficient steering assistance during understeer and oversteer situations, lacking robust feedback control.

Innovation Solution

Implementing adaptive aerodynamic bias bounds as hard constraints in model predictive control (MPC) to set and adjust minimum and maximum downforce values, integrating learning gains for real-time feedback and reducing dependency on feedforward control.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If feedforward commands are used for downforce control, then the system can provide steering assistance, but the system requires frequent calibration and produces inconsistent assistance

Engineering Contradiction:

Improvesteering assistance consistencyVSAvoidcalibration frequency

Core Design Contradiction:

Ease of operationVSReliability

Solution Approach 1:

The patent implements feedback control by using the detected understeer angle to dynamically adjust downforce distribution through actuators. The control system continuously monitors vehicle state and adjusts aerodynamic downforce based on actual steering conditions, eliminating the need for frequent manual calibration and ensuring consistent steering assistance.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The system performs self-calibration by automatically adapting downforce distribution based on real-time detection of understeer angle and vehicle dynamics. The control algorithm self-adjusts the aerodynamic bias bounds and actuator commands without requiring external calibration inputs, making the system self-sufficient and calibration-free.

Inventive Principle:

Principle #25Self-service

2Manufacturing precision

If aerodynamic bias bounds are used to control downforce, then downforce levels can be optimized, but the system complexity increases

Engineering Contradiction:

Improvedownforce control precisionVSAvoidcontrol system complexity

Core Design Contradiction:

Manufacturing precisionVSDevice complexity

Solution Approach 1:

The patent employs dynamic aerodynamic bias bounds that are continuously adjusted based on real-time vehicle state detection. The bias bounds are not fixed but adapt dynamically to changing driving conditions, allowing precise downforce control while maintaining manageable system complexity through algorithmic adaptation rather than mechanical complexity.

Inventive Principle:

Principle #15Dynamics

Data Source

PatentUS20260028069A1Active downforce reactive control based on adaptive aerodynamic bias bounds

Publication Date: 2026.01.29 GM GLOBAL TECHNOLOGY OPERATIONS LLC

AI summary

A downforce control system of a host vehicle includes: at least one module configured to generate a first bias lower bound and a first bias upper bound; a parameter module configured to determine a current understeering angle of the host vehicle; an adaptive bias bounding module configured to generate an understeer and oversteer multiplier based on the current understeering angle; a fusion module configured, based on the first bias lower bound, the first bias upper bound, and the understeer and oversteer multiplier, to generate a second bias lower bound and a second bias upper bound; and a downforce tracking module configured, based on the second bias lower bound and the second bias upper bound, to adjust position of one or more downforce devices of the host vehicle.