Vehicle Route Energy Path Planning for Hybrid Propulsion Use
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Solution Overview
Problem
Existing navigation systems for multimodal vehicles fail to optimize the use of available propulsion resources when determining routes, leading to inefficient allocation between different modes of propulsion and neglecting terrain and other factors.
Innovation Solution
A method and system that characterize road segments based on available propulsion resources, generating optimized energy paths by considering fuel energy versus battery energy curves, road markers, traffic information, vehicle characteristics, and environmental conditions to minimize fuel consumption and maintain a desired state of charge.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If navigation systems compute routes based on fastest or shortest route only, then route computation speed is improved, but propulsion resource utilization efficiency deteriorates
Solution Approach 1:
The route is segmented into multiple road segments, each characterized by specific propulsion resource requirements. The system divides the overall route into discrete segments and computes energy paths for each segment individually, then combines them to form the complete optimized energy path. This segmentation allows detailed propulsion resource optimization without significantly increasing overall computation time.
Solution Approach 2:
The system performs preliminary characterization of road segments including identifying road markers, traffic information, and propulsion resource requirements before computing the final energy path. By pre-processing and storing characterization data for each road segment, the system reduces the computational burden during real-time route determination while maintaining comprehensive propulsion resource optimization.
2Adaptability or versatility
If multimodal vehicles use multiple types of propulsion, then versatility of propulsion resources is improved, but allocation efficiency between modes deteriorates
Solution Approach 1:
The system changes the parameters used for route determination from simple distance or time metrics to comprehensive energy parameters that account for multiple propulsion modes. By characterizing road segments in terms of fuel energy versus battery energy curves and computing optimized energy paths that specify which propulsion mode to use on each segment, the system achieves efficient allocation across multiple propulsion modes while maintaining full versatility.
3Loss of information
If navigation systems provide detailed route information, then route information completeness is improved, but computational complexity deteriorates
Solution Approach 1:
The system extracts only the essential characterization data needed for propulsion resource optimization from comprehensive route information. Instead of processing all possible route details, the system specifically extracts road markers, traffic information, and propulsion resource requirements for each road segment. This extraction approach maintains complete necessary information while reducing computational complexity by focusing only on propulsion-relevant parameters.
Data Source
AI summary
Embodiments include a method that identifies a route between a destination and a current location and quantizes the route into two or more road segments. The method includes characterizing the two or more road segments according to propulsion resources available to a vehicle generating at least two energy paths across the route based on the characterization of the two or more road segments. The method also includes providing an optimized energy path from the at least two energy paths.