Worksite Terrain Segmentation for Battery Electric Route Optimization
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Solution Overview
Problem
Existing methods fail to effectively optimize battery performance for battery-operated machines at worksites by not adequately identifying and modifying terrain characteristics that impact battery usage and health.
Innovation Solution
A system and method that segment worksites into predetermined route segments, using current and historical data to identify segments for terrain modification, providing modification information and estimated battery improvement, and controlling physical changes to improve battery usage and health.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If terrain characteristics are modified to improve battery performance, then battery usage and battery health are improved, but the complexity of identifying and implementing modifications increases
Solution Approach 1:
The worksite is divided into multiple route segments, allowing the system to analyze and modify terrain characteristics in discrete, manageable portions rather than treating the entire worksite as a single unit. This segmentation enables targeted modifications to specific high-impact areas while simplifying the overall optimization process.
Solution Approach 2:
The system performs preliminary identification of candidate route segments that would benefit from terrain modifications before actual modifications are made. By using historical battery usage data and terrain data to pre-select optimal segments for modification, the system reduces the complexity of trial-and-error approaches and focuses resources on the most impactful changes.
2Measurement precision
If comprehensive data analysis is performed to identify terrain modifications, then battery optimization accuracy is improved, but the time and computational resources required increase
Solution Approach 1:
The system applies different levels of analysis depth to different route segments based on their characteristics and potential impact. Candidate route segments identified as high-priority receive more comprehensive analysis, while lower-priority segments receive streamlined assessment. This local quality approach maintains optimization accuracy for critical areas while reducing overall analysis time.
Solution Approach 2:
The system uses historical battery usage data and terrain data as proxies for predicting the impact of terrain modifications. By analyzing patterns in historical data rather than conducting exhaustive simulations for each potential modification, the system achieves high optimization accuracy with reduced computational time and resources.
3Duration of action of stationary object
If terrain modifications are implemented based on historical data, then battery health improvement is achieved, but the cost of modification work increases
Solution Approach 1:
The system implements terrain modifications selectively on only those route segments identified as candidate segments with the highest potential impact on battery health. Rather than modifying the entire worksite terrain, the system focuses resources on partial modifications to specific high-impact areas, achieving significant battery health improvement while minimizing modification costs.
Solution Approach 2:
The system uses historical battery usage data to identify which route segments would benefit most from terrain modifications, and after modifications are implemented, continues to monitor battery performance to validate improvements. This feedback loop ensures that modification resources are allocated to areas that actually deliver battery health benefits, optimizing the return on modification investment.
Data Source
AI summary
Systems and methods can identify or determine one or more of the candidate route segments of a worksite to modify in order to improve battery usage and/or battery health for one or more vehicles upon future traversal of the one or more candidate route segments by the one or more vehicles. The one or more candidate route segments can be identified using terrain data, battery usage data, and/or battery health data. The one or more identified candidate route segments can be output on a display device. Selection of one or more identified candidate route segments can cause display of battery usage improvement information and/or battery health improvement information.