Vehicle Drag Reduction System with Genetic Optimization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing drag reduction systems for vehicles are ineffective in optimizing fuel efficiency under changing road geometry and environmental conditions, as they are either fixed or rely on pre-set frequencies, failing to adapt to dynamic conditions.
Innovation Solution
A drag reduction system featuring a movable control surface adjusted by a processor with a genetic optimization algorithm, which generates and optimizes parameters in real-time based on pressure sensor data to suppress eddy currents, particularly Strouhal eddies, thereby maximizing pressure behind the vehicle and reducing drag.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If fixed aerodynamic devices are used to reduce drag, then drag reduction is achieved under optimal conditions, but the system cannot adapt to changing environmental conditions and road geometry
Solution Approach 1:
The patent applies the dynamics principle by transitioning from fixed aerodynamic devices to movable control surfaces that can dynamically adjust their position. The control surfaces are actuated by actuators that respond to real-time feedback from pressure sensors, allowing the system to adapt to changing environmental conditions and road geometry while maintaining drag reduction effectiveness.
Solution Approach 2:
The patent implements feedback by using pressure sensors to continuously monitor the pressure differential across the vehicle body. This feedback signal is processed by a controller that adjusts the control surface positions accordingly, creating a closed-loop system that adapts to changing conditions. The feedback mechanism enables the system to maintain optimal aerodynamic performance despite variations in environmental factors and road geometry.
2Productivity
If pre-programmed settings are used for drag reduction devices, then the system is simple to operate, but it cannot optimize fuel consumption independently of road conditions
Solution Approach 1:
The patent applies self-service by enabling the drag reduction system to autonomously optimize fuel consumption without requiring pre-programmed settings or external input. The pressure sensors continuously monitor conditions, and the controller automatically adjusts control surface positions to maximize aerodynamic efficiency. This self-regulating system adapts to any road condition independently, eliminating the need for manual configuration or prior knowledge of optimal settings for specific conditions.
3Adaptability or versatility
If the control surface is adjusted frequently to adapt to changing conditions, then adaptability is improved, but energy consumption increases
Solution Approach 1:
The patent applies partial action by adjusting control surfaces only when and where necessary to achieve drag reduction. Rather than continuously actuating all control surfaces, the system selectively adjusts only those surfaces that have the greatest impact on aerodynamic performance under current conditions. This selective approach maintains real-time adaptability while minimizing the energy consumed by actuators.
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
The system achieves significant reduction in aerodynamic drag and improved fuel efficiency by dynamically optimizing control surface parameters, effectively adapting to changing conditions without prior knowledge of optimal settings, leading to enhanced fuel economy.
Implementation Method 1
Different eddy currents are generated at the trailing edge of a vehicle moving through air, some of which detach from the vehicle periodically, in particular Strouhal eddies.
Implementation Method 2
The drag caused by wakes, currents, and eddies, or rotating pockets of air, adjacent to vehicles has a significant impact on the efficiency of vehicle movement and energy use of the vehicles.
Implementation Method 3
at least one pressure sensor positioned so as to sense fluid pressure at, or near, a rear end surface of the vehicle
Implementation Method 4
at least one actuator for adjusting a position of the at least one control surface relative to the at least one surface of the vehicle
Data Source
Figure 1
Figure 2
Figure 3
AI summary
A drag reduction system for a vehicle, comprising at least one control surface movable relative to at least one surface of the vehicle; at least one actuator for adjusting a position of the at least one control surface relative to the at least one surface of the vehicle; at least one pressure sensor positioned so as to sense fluid pressure at, or near, a rear end surface of the vehicle; and a processor comprising an optimisation algorithm. The processor is programmed to randomly generate a first generation of control surface adjustment parameters, wherein each one of the control surface adjustment parameters is generated within a pre-defined range; receive sensor data from the at least one pressure sensor; and compare a characteristic of the sensor data to a threshold condition. A drag reduction method and a vehicle comprising the drag reduction system are also provided.