Vehicle Component Layout Optimization via Iterative Pathfinding
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Solution Overview
Problem
Current methods for arranging vehicle components in a computer-aided environment or physical mock-ups are resource-intensive and inefficient, lacking an effective way to optimize the layout of components within a vehicle workspace to minimize connection lengths and weights while considering various cost factors.
Innovation Solution
A system and method that utilize a computer-implemented process to receive and optimize the layout of vehicle components within a workspace by iteratively moving and rotating components using a pathfinding algorithm, applying cost factors, and updating a workspace matrix to determine the most efficient routing of connections, which includes using a processor and memory to execute instructions for optimizing the component layout.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional manual or physical mock-up methods are used to arrange vehicle components, then engineers can directly visualize and adjust layouts, but the process becomes resource-intensive and time-consuming
Solution Approach 1:
The patent replaces manual mechanical adjustment methods with an automated computer-based optimization system that uses algorithms to calculate and determine optimal component layouts, eliminating the need for physical mock-ups and manual iteration
Solution Approach 2:
The optimization system automatically performs layout calculations and adjustments without requiring continuous human intervention, allowing the computer to self-optimize the component arrangement based on predefined cost factors and constraints
2Weight of stationary object
If component layouts are optimized to minimize connection lengths, then the weight and cost of connections decrease, but the complexity of the optimization process increases
Solution Approach 1:
The system optimizes layout by changing the positional parameters of components within the workspace, adjusting their locations to minimize connection lengths while satisfying spatial and functional constraints
Solution Approach 2:
The patent introduces a computer-based optimization system as an intermediary between design requirements and final layout, using algorithms to mediate the complex calculations of optimal component placement and connection routing
3Reliability
If multiple cost factors are considered in the optimization, then the overall design quality improves, but the computational resources required increase
Solution Approach 1:
The system applies optimization iteratively, performing multiple passes with varying levels of detail and computational effort, allowing engineers to balance solution quality against available computing resources by adjusting the number and depth of optimization iterations
Data Source
AI summary
A system and a method are described for laying out components in a vehicle workspace. The method may comprise: receiving, as input, a plurality of components for a vehicle workspace; determining an optimization of a routing of a plurality of connections, each of which connect to at least one of the plurality of components; and providing an output indicative of the routing within the vehicle workspace.


