Vehicle Information Device Route Optimization
Solution Overview
Problem
Existing vehicle information systems fail to select routes that optimize power consumption for long trips requiring multiple charging stops, as they only compare fuel consumption in individual sections without considering the entire route.
Innovation Solution
A vehicle information providing device that combines route sections using a control map to search for efficient routes by analyzing historical driving data, power consumption, and charging facility locations, allowing for the selection of routes with reduced power consumption even during long travels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If fuel consumption comparison is performed only in individual traveling sections using stored vehicle data, then the system complexity remains low and ease of operation is maintained, but the ability to select optimal routes for long trips requiring multiple charging stops is lost
Solution Approach 1:
The patent divides the long trip route into multiple traveling sections, each bounded by charging facilities. The route search unit searches for optimal routes section by section, combining individual section routes to form the complete optimal route. This segmentation allows the system to handle long trips with multiple charging stops while maintaining manageable computational complexity.
Solution Approach 2:
The system pre-stores vehicle data including power consumption characteristics and charging facility information in a database. By having this data prepared in advance, the route search unit can efficiently compare different route options without real-time calculations, reducing the computational burden during actual route selection.
2Use of energy by moving object
If the system searches for optimal routes combining multiple route sections with charging facilities, then power consumption efficiency for long trips is improved, but the calculation complexity and processing time increase
Solution Approach 1:
The route search is divided into independent section searches between charging facilities. Each section can be searched and optimized separately, then the results are combined to form the complete route. This reduces the overall computational complexity compared to searching all possible routes for the entire long trip at once.
Solution Approach 2:
The system pre-calculates and stores power consumption data for various traveling sections in the database. When a route search is needed, the system retrieves pre-computed data rather than calculating from scratch, significantly reducing the time required to determine optimal routes for long trips.
3Reliability
If charging facility locations and power consumption data are integrated into the route search, then comprehensive route optimization is achieved, but the device complexity and data processing requirements increase
Solution Approach 1:
The patent integrates charging facility location data, vehicle power consumption characteristics, and route information into a unified route search system. The route search unit simultaneously considers multiple factors including power consumption, charging facility availability, and route geometry to determine the optimal route, achieving comprehensive optimization.
Solution Approach 2:
The system uses a database as an intermediary layer between the route search unit and the raw data. The database stores and organizes vehicle data, charging facility information, and power consumption characteristics in a structured format, simplifying the data processing requirements for the route search unit while maintaining comprehensive optimization capabilities.
Data Source
Figure 1
Figure 2A
Figure 2B
AI summary
Vehicle information providing device (S) includes: a history information accumulation unit (26) that sequentially acquires and accumulates driving location information, power consumption information and charging facility information from an in-vehicle device (1) of a vehicle (A); an input unit (22) that inputs a departure point and a destination point; a historical statistics processing unit (27) that searches for a presentation route similar to a planned route; a map memory (261) that stores a control map in which a route of section connecting any two charging facilities and a characteristic value correlating with power consumption of an electric motor when the vehicle (A) travels along the route of section are associated with each other; and a charging necessity determining unit that determines whether or not the vehicle has to stand in charging facilities. When a determination is made that the vehicle (A) has to stand in the charging facilities, the historical statistics processing unit refers to the control map to perform selection of a combination of a plurality of the routes of sections.