AI Vehicle Rolling Resistance Control via Dynamic Wheel Alignment
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Solution Overview
Problem
Current methods for reducing vehicle rolling resistance are inadequate as they often compromise safety, driving performance, and are not suitable for all driving conditions or vehicle types, failing to account for dynamic changes in rolling resistance.
Innovation Solution
An artificially intelligent system that uses a processor to execute computer-executable components, including an artificial intelligence component, a determination component, and a control component, to dynamically adjust vehicle parameters such as tire pressure, tread depth, camber, and toe angle based on real-time data and calibration data to achieve an acceptable rolling resistance condition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If low rolling resistance tires are used to minimize energy loss, then energy efficiency is improved, but traction, braking performance, ride comfort and handling are compromised
Solution Approach 1:
The patent employs dynamically adjustable suspension components including variable camber mechanisms and active toe control systems that can modify wheel alignment in real-time based on driving conditions, thereby allowing the use of low rolling resistance tires while maintaining adequate traction and handling when needed
Solution Approach 2:
The system changes physical parameters of wheel alignment (camber angle, toe angle) dynamically through electronically controlled suspension components, enabling the vehicle to optimize rolling resistance during normal driving while restoring traction performance when safety or handling requirements demand
2Use of energy by moving object
If low rolling resistance tires are used to reduce energy consumption, then fuel efficiency is improved, but safety performance deteriorates in snowy or icy conditions
Solution Approach 1:
The patent incorporates sensors that detect road surface conditions (ice, snow, wetness) and provide feedback to the control system, which then adjusts wheel alignment parameters or activates warning systems to compensate for reduced traction characteristics of low rolling resistance tires in adverse conditions
Solution Approach 2:
The system proactively detects deteriorating road conditions and pre-adjusts suspension parameters or alerts the driver before loss of control occurs, counteracting the inherent safety deficiencies of low rolling resistance tires in snowy or icy conditions
3Use of energy by moving object
If vehicle parameters are statically optimized for low rolling resistance, then energy efficiency is improved, but adaptability to different driving conditions deteriorates
Solution Approach 1:
The patent implements dynamically adjustable wheel alignment systems with variable camber and toe control that can modify suspension geometry in real-time based on detected driving conditions, enabling the vehicle to adapt between energy-efficient and performance-oriented configurations
Solution Approach 2:
The electronically controlled suspension system serves multiple functions: optimizing rolling resistance during normal driving, enhancing traction during cornering or wet conditions, and improving safety during emergency maneuvers, thereby making a single tire design suitable for diverse driving scenarios
4Device complexity
If current methods provide rolling resistance data after the fact, then measurement simplicity is maintained, but real-time adjustment capability deteriorates
Solution Approach 1:
The patent incorporates real-time sensors that monitor rolling resistance, wheel alignment parameters, and driving conditions, providing immediate feedback to the control system which then dynamically adjusts suspension settings to optimize rolling resistance during vehicle operation
Solution Approach 2:
The system automatically monitors and adjusts wheel alignment parameters without requiring driver intervention or complex external measurement equipment, achieving real-time optimization through self-contained sensing and actuation components
Data Source
AI summary
Systems/techniques that facilitate artificially intelligent provision of vehicle rolling resistance are provided. In various embodiments, a system can detect environment and road conditions by internal and external sensors. In various aspects, the system can engage an artificial intelligence component to determine optimal parameter adjustments of vehicle operation that will result in an acceptable rolling resistance, based on the sensor data and current parameters of the vehicle. In various instances, the system can initiate, in response to a determination that the one or more of the plurality of parameters of the vehicle will fail to result in an acceptable rolling resistance, the determined adjustments of one or more of the plurality of parameters of the vehicle.