Autonomous Vehicle Braking Energy Optimization
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Solution Overview
Problem
Autonomous vehicles face challenges in dynamically optimizing energy efficiency during transient operations like braking and acceleration, as existing systems struggle to efficiently switch between regenerative and friction braking mechanisms based on real-time conditions.
Innovation Solution
An autonomous vehicle system that includes a central control unit communicating with remote servers and data collectors, using stored parameters to evaluate and adjust operational thresholds for regenerative and friction braking mechanisms, and selecting the most energy-efficient mode based on vehicle and environmental conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If the vehicle uses regenerative braking mechanism, then energy efficiency is improved through power regeneration, but the braking system complexity increases due to coordination between multiple braking mechanisms
Solution Approach 1:
The patent implements dynamic switching between regenerative and friction braking mechanisms based on real-time vehicle conditions, road slope, and power storage state. The central control unit continuously adjusts the braking mode to optimize energy efficiency while managing system complexity through adaptive control strategies.
Solution Approach 2:
The system changes operational parameters such as braking force distribution, power storage charge state, and road slope compensation to determine the optimal braking mechanism. By dynamically adjusting these parameters, the system achieves energy optimization without requiring permanent structural complexity.
2Use of energy by moving object
If the vehicle dynamically switches between braking mechanisms, then energy efficiency during transient operations is improved, but the control system complexity increases
Solution Approach 1:
The central control unit serves multiple functions: it monitors vehicle conditions, determines road slope, evaluates power storage state, and selects the appropriate braking mechanism. This multi-functional approach consolidates control complexity into a single unit rather than requiring separate control systems for each braking mechanism.
Solution Approach 2:
The system uses feedback from sensors monitoring vehicle speed, power storage charge state, and road conditions to dynamically adjust braking mechanism selection. This closed-loop control enables energy optimization during transient operations while managing control complexity through real-time adaptive decision-making.
3Measurement precision
If the vehicle compensates for road slope, then braking accuracy is improved, but the computational requirements and processing time increase
Solution Approach 1:
The system performs preliminary estimation of road slope using available sensor data and historical information before executing braking commands. By preparing compensation parameters in advance based on predicted conditions, the system reduces real-time computational burden while maintaining braking accuracy.
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 dynamically optimizes energy efficiency by selecting the appropriate braking mechanism, maximizing power regeneration and reducing energy consumption during transient operations, thereby enhancing the vehicle's overall energy management.
Implementation Method 1
a regenerative braking mechanism and a friction braking mechanism of the braking system
Data Source
AI summary
Vehicle operating systems are autonomously operated. A transient in an upcoming path of the vehicle is determined from a comparison of vehicle path data and vehicle status data to a threshold of mechanism first operating system. Operational parameters for one of first and second operating systems are selected according to the comparison. The selected operational parameters are applied to the operation of the one of the first and second operating systems.