Eco-routing Algorithm Using Dynamic Vehicle Model and Line Graph
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Solution Overview
Problem
Existing eco-routing methods fail to accurately determine energy-efficient routes for all types of vehicles, particularly electric vehicles, as they do not account for negative energy consumption and vehicle acceleration, leading to imprecise energy consumption calculations and lack of adaptability.
Innovation Solution
A method using a dynamic vehicle model that relates energy consumption to speed and acceleration, combined with a line graph and a shortest path algorithm suited for negative energies, allowing for precise energy consumption calculations and adaptability to any vehicle type, including electric vehicles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If Dijkstra's shortest path algorithm is used for eco-routing, then the route minimizing energy consumption can be determined, but the method cannot handle negative energy consumption values and is therefore not adaptable to electric vehicles with regenerative braking
Solution Approach 1:
The patent changes the algorithmic parameter from Dijkstra's algorithm (which cannot handle negative weights) to Bellman-Ford algorithm (which can handle negative weights). This parameter change enables the system to process negative energy consumption values from regenerative braking while maintaining calculation accuracy, thus resolving the contradiction between adaptability and reliability.
2Measurement precision
If a static energy consumption model is used, then the calculation is simpler, but the precision of energy consumption calculation is lower because vehicle acceleration is not accounted for
Solution Approach 1:
The patent applies a dynamic energy consumption model that incorporates vehicle acceleration and uses a line graph representation where nodes represent vehicle states (position, speed, acceleration) rather than simple geographic locations. This dynamic approach captures the actual energy consumption more precisely by accounting for acceleration events, resolving the contradiction between measurement precision and device complexity.
3Measurement precision
If traditional graph representation is used for the road network, then the structure is simpler, but the energy consumption precision is lower because acceleration between road segments is not captured
Solution Approach 1:
The patent segments the traditional road network graph into a line graph structure where each road segment is divided into multiple nodes representing different vehicle states (positions along the segment, speeds, accelerations). This segmentation allows the system to capture acceleration events between segments and calculate energy consumption more precisely, while the modular nature of the line graph keeps the complexity manageable.
Data Source
AI summary
The present invention relates to a method of determining a route (ITI) minimizing the energy consumption of a vehicle, based on the use of a dynamic model (MOD) of the vehicle depending on the vehicle speed and acceleration, the construction of a line graph (GA) and a shortest path algorithm (ALG) suited for negative energies.


