Adjustable Vehicle Wind Turbine Funnels for Stable Power Generation

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Maintaining optimal wind speeds within the operational range of wind turbines on vehicles is challenging due to unpredictable wind conditions and variable vehicle speeds, which affects power generation efficiency.

Innovation Solution

Implementing an array of wind turbines embedded in vehicles, a programmable funnel system with high-torque servo motors, and a computing system that uses machine learning, V2X communication, and predictive analysis to adjust the cross-sectional area of the funnel system to maintain wind speeds within the operational range of the turbines.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Power

If wind turbines are installed on vehicles to generate power, then power generation capability is improved, but maintaining optimal wind speed becomes difficult due to unpredictable wind conditions and variable vehicle speeds

Engineering Contradiction:
Improvepower generation capabilityVSAvoidwind speed stability
Core Design Contradiction:
PowerVSReliability

Solution Approach 1:

The funnel system is designed with adjustable cross-sectional area that can dynamically change in response to varying wind conditions and vehicle speeds. Motors control the funnel's shape to optimize wind flow to the turbines, allowing the system to adapt to changing conditions and maintain reliable power generation.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The system changes the physical parameters of the funnel (cross-sectional area, shape) to optimize wind speed delivery to the turbines. By adjusting these parameters in real-time based on sensor feedback, the system maintains optimal operating conditions despite external variability.

Inventive Principle:
Principle #35Parameter changes

2Productivity

If the cross-sectional area of the funnel system is adjusted to maintain optimal wind speed, then power generation efficiency is improved, but device complexity increases due to motors and control systems

Engineering Contradiction:
Improvepower generation efficiencyVSAvoidcontrol system complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The system incorporates sensors that continuously monitor wind speed and provide feedback to the control system. This feedback loop enables automatic adjustment of the funnel's cross-sectional area to maintain optimal wind speed at the turbines, improving efficiency while managing complexity through automated control.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The funnel system serves multiple functions: it guides wind flow to the turbines, adjusts cross-sectional area to optimize speed, and integrates with the vehicle's existing control systems. This multi-functionality justifies the added complexity by delivering comprehensive benefits.

Inventive Principle:
Principle #6Universality (Multi-functionality)

3Power

If turbines are strategically positioned to maximize wind exposure, then power generation is improved, but aerodynamic drag increases affecting vehicle performance

Engineering Contradiction:
Improvepower generation outputVSAvoidaerodynamic drag
Core Design Contradiction:
PowerVSObject-generated harmful factors

Solution Approach 1:

The funnel system concentrates wind flow locally at the turbine locations, creating high-velocity streams precisely where needed. This localized optimization allows turbines to generate maximum power from the concentrated wind flow while the funnel's design minimizes overall aerodynamic drag on the vehicle.

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

The funnel acts as an intermediary between the ambient wind and the turbines. It captures and channels wind flow efficiently to the turbines, maximizing power generation while its aerodynamic shape minimizes the drag it introduces to the vehicle's overall airflow.

Inventive Principle:
Principle #24Intermediary (Mediator)

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

Enhances power generation efficiency by maintaining optimal wind speeds, maximizing energy production, and reducing aerodynamic drag while ensuring turbine safety.

Implementation Method 1

One of the fundamental principles that govern the operation of wind turbines is Bernoulli's theorem. This theorem explains the relationship between the pressure, velocity, and elevation in a moving column of fluid, which, in our case, is air. As per the theorem, as the velocity of a fluid increases, its pressure decreases, and conversely, when the velocity decreases, the pressure increases.

Methodology Applied
Scientific EffectBernoulli's theorem: Bernoulli Effect

Implementation Method 2

Wind turbines generate power by converting the kinetic energy of wind into mechanical energy, which is then transformed into electrical energy.

Methodology Applied
Scientific EffectKinetic energy conversion: Turbine

Data Source

PatentUS20250223944A1Computer-based modulating of wind speed to maximize power generation by a vehicle
Publication Date: 2025.07.10 INTERNATIONAL BUSINESS MACHINE CORPORATION
  • US20250223944A1 patent drawing
  • US20250223944A1 patent drawing
  • US20250223944A1 patent drawing

AI summary

In an approach to improve power generation in both manual and autonomous vehicles embodiments of the present invention measure, by a set of sensors, a wind speed as it passes through a funnel system. Further, embodiments modulate, by the funnel system, the wind speed of wind that passes through the funnel system to a turbine array, where modulating the wind speed comprises adjusting, by a motor set, a cross-sectional area of an entry portion and an exit portion of the funnel system based on the measured wind speed. Additionally, embodiments proactively adjust, by the computing system, the funnel system to maintain a predetermined wind speed that is being fed to the turbine array through the funnel system by employing machine learning models and control algorithms, using sensor data, vehicle to everything communication, and predictive analysis of wind patterns and road conditions.