Vehicle Control Adaptation to New Driver Behavior Shifts

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Solution Overview

Problem

Existing vehicle control systems face challenges in adapting to new users or changing operating conditions, leading to potentially inefficient or inappropriate control of vehicle components, such as engine aftertreatment systems, due to reliance on historical data that may no longer be relevant.

Innovation Solution

A method and system that compare current user behavior with predicted behavior, forming new user behavior when a threshold difference is detected, and controlling vehicle components based on this new behavior, while discarding historical data to facilitate rapid adaptation.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If the vehicle control system relies on historical data to control vehicle components, then the control is optimized for the original user's behavior, but the system cannot adapt quickly when a new user operates the vehicle

Engineering Contradiction:

ImproveAdaptability to new user behaviorVSAvoidTime to adapt to new user

Core Design Contradiction:

Adaptability or versatilityVSLoss of time

Solution Approach 1:

The system dynamically adjusts the user behavior profile by comparing current user actions against the stored predicted user behavior. When deviations exceed a threshold, the system transitions from using historical predicted behavior to forming new user behavior in real-time, enabling adaptive response to changing user patterns without fixed time delays

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system changes the parameter of user behavior data by forming new user behavior when the difference between current and predicted behavior exceeds a threshold. This parameter change allows the system to switch from relying on historical data to using newly formed behavior patterns, enabling quick adaptation to new users while maintaining optimized control based on actual observed behavior

Inventive Principle:

Principle #35Parameter changes

2Reliability

If the vehicle control system uses historical data for controlling vehicle components, then control decisions are based on established patterns, but control may be inappropriate when current behavior differs significantly from predicted behavior

Engineering Contradiction:

ImproveReliability of control decisionsVSAvoidResponsiveness to current user behavior

Core Design Contradiction:

ReliabilityVSAdaptability or versatility

Solution Approach 1:

The system continuously monitors current user behavior and compares it against predicted user behavior derived from historical data. This feedback mechanism detects when current behavior diverges from predictions, triggering the formation of new user behavior to ensure control decisions remain reliable and appropriate for the actual current usage pattern

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The system dynamically switches between using predicted user behavior and forming new user behavior based on real-time comparison. When current behavior aligns with predictions, the system maintains reliability using historical patterns; when deviations exceed the threshold, it transitions to forming new behavior to maintain appropriateness for current usage

Inventive Principle:

Principle #15Dynamics

3Productivity

If the system removes historical data when user behavior differs significantly, then adaptation to new user occurs rapidly, but the system loses the benefit of learned patterns

Engineering Contradiction:

ImproveSpeed of adaptation to new userVSAvoidLoss of historical behavior data

Core Design Contradiction:

ProductivityVSLoss of information

Solution Approach 1:

The system selectively discards predicted user behavior data when current user behavior differs significantly (exceeds threshold), enabling rapid adaptation to the new user. The historical data is not permanently lost but is replaced by newly formed user behavior that captures the current user's patterns, allowing the system to recover and learn new patterns efficiently while shedding outdated information

Inventive Principle:

Principle #34Discarding and recovering

Data Source

PatentUS12466419B2Method of controlling a vehicle operation

Publication Date: 2025.11.11 VOLVO TRUCK CORP

AI summary

A computer implemented method controls vehicle operation. The vehicle has vehicle components operable by processing circuitry based on predicted user behavior. The method includes receiving, by the processing circuitry, a signal indicative of a current user behavior for a user currently operating the vehicle; comparing, by the processing circuitry, the current user behavior with a predicted user behavior. When a difference between the current user behavior and the predicted user behavior is above a predetermined threshold limit: new user behavior based on the current user behavior is formed and operation of at least one of the vehicle components is controlled using the new user behavior.