Vehicle Operation Feedback for Driver Emissions Reduction

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Solution Overview

Problem

Current vehicle operating systems lack effective methods to assess and reduce environmental impact, particularly in terms of emissions, despite increasing emission standards and the availability of hybrid vehicles.

Innovation Solution

A computer-implemented method that uses a computing system to obtain personal and operating data from a vehicle, determining driver behavior recommendations to reduce emissions by adjusting vehicle operations, such as speed, cabin environment settings, and power flow between the internal combustion engine and electric machine.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Object-generated harmful factors

If driver behavior is not monitored or guided, then vehicle emissions remain high due to inefficient operating conditions, but implementing monitoring and guidance systems increases system complexity

Engineering Contradiction:
Improvevehicle emissionsVSAvoidsystem complexity
Core Design Contradiction:
Object-generated harmful factorsVSDevice complexity

Solution Approach 1:

The system continuously monitors vehicle operating conditions and provides real-time feedback to the driver through recommendations. The computing system analyzes operating data from multiple vehicle systems and communicates back with guidance on optimal operating conditions, creating a closed-loop feedback mechanism that reduces emissions without requiring complex manual intervention

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The system leverages existing vehicle sensors and onboard computing resources to perform emissions assessment and generate recommendations. Rather than requiring entirely new hardware infrastructure, the patent utilizes the vehicle's own existing systems (sensors, processors, communication interfaces) to deliver emissions reduction functionality

Inventive Principle:
Principle #25Self-service

2Object-generated harmful factors

If the system provides detailed real-time recommendations to drivers, then emissions reduction effectiveness improves, but user interface complexity and information processing requirements increase

Engineering Contradiction:
Improveemissions reduction effectivenessVSAvoidinterface complexity
Core Design Contradiction:
Object-generated harmful factorsVSDevice complexity

Solution Approach 1:

The system provides targeted, context-specific recommendations rather than generic advice. By analyzing the current operating state of specific vehicle systems (engine, transmission, cabin environment, etc.), the system generates personalized recommendations tailored to the driver's specific situation, making the interface simpler while maintaining high effectiveness

Inventive Principle:
Principle #3Local quality

3Measurement precision

If the system collects and processes extensive personal and operating data, then emission assessment accuracy improves, but data processing requirements and computational load increase

Engineering Contradiction:
Improveemission assessment accuracyVSAvoidcomputational energy consumption
Core Design Contradiction:
Measurement precisionVSUse of energy by moving object

Solution Approach 1:

The system pre-processes and stores personal data and operating data separately before generating recommendations. By organizing data in advance and establishing baseline profiles of driver behavior and vehicle performance, the system reduces real-time computational requirements while maintaining assessment accuracy

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS12205421B2Methods and systems for operating a vehicle
Publication Date: 2025.01.21 ZF FRIEDRICHSHAFEN AG
  • US12205421B2 patent drawing
  • US12205421B2 patent drawing
  • US12205421B2 patent drawing

AI summary

A method for operating a vehicle includes obtaining personal data associated with a user of the vehicle, obtaining operating data for the vehicle, determining a driver behavior recommendation to reduce emissions of the vehicle based at least in part on the personal data and the operating data, and presenting the driver behavior recommendation on an interface.