Electric Vehicle Real Range Map Display
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Solution Overview
Problem
Existing methods for determining the real range of electric vehicles are complex, inaccurate, and require defining a destination, failing to account for intersecting roads and off-road terrain, and are computationally intensive, especially when multiple routes with different energy consumptions are involved.
Innovation Solution
A method using the Dijkstra algorithm to calculate the actual range by identifying peak points and edges on a map, considering the vehicle's battery capacity, load, and terrain steepness, allowing for route calculations without a predefined destination and accounting for both on-road and off-road paths, using a net approach for off-road determination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing simulation methods are used to determine real range, then route-specific energy consumption can be calculated, but the process becomes computationally intensive and requires defining a destination point
Solution Approach 1:
The method segments the terrain into discrete height levels (first height level, second height level, etc.) and processes energy consumption calculations for each segment separately. This segmentation allows the system to determine real range without requiring a predefined destination by breaking down the continuous terrain into manageable discrete sections that can be processed independently using the mobile device's processor.
2Measurement precision
If multiple routes with different energy consumptions are considered, then more accurate real range can be determined, but computational time and resources increase significantly
Solution Approach 1:
The method performs preliminary actions by pre-calculating and storing energy consumption data for different terrain segments and height levels in a database on the mobile device. When determining real range, the system retrieves and processes only the relevant pre-calculated data for the current terrain, avoiding the need to perform complex calculations for all possible routes from scratch, thus reducing computational time while maintaining accuracy.
3Adaptability or versatility
If the system considers off-road terrain and intersecting roads, then the real range determination becomes more comprehensive, but the calculation complexity and data processing requirements increase
Solution Approach 1:
The method implements a universal approach that handles multiple terrain types (on-road, off-road, intersecting roads) through a single integrated process. The system uses a standardized database structure and calculation methodology that automatically adapts to different terrain configurations without requiring separate processing logic for each terrain type, thereby reducing overall system complexity while maintaining comprehensive coverage.
Data Source
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AI summary
Method for displaying the actual range of an electric vehicle from a starting point shown on a map, in the course of which based on the given parameters of the vehicle it is determined that on a horizontal surface for a covering a certain distance how much electric consumption is necessary, how much the maximum consumption can be, it is also determined that with respect to roads with different steepness to what extent (correction factors) the actual consumption varies from the consumption on a horizontal surface, then the map data is input into the map database with respect to a hypothetical range from the starting point and from the starting point the set of discrete peak points on the map is indicated, where the steepness of the surface between two neighboring peak points is considered steady, then the costs of the various available routes are determined from the starting point with Dijkstra algorithm and using a successive iteration, where the cost between two peak points mean the value modified by the correction factor related to the given steepness of the consumption measured on a horizontal surface, then with respect to those peak points where the costs reach the determined maximum consumption, it is specified as the points indicating the real range, and the location of such points are displayed on the map.