Predicted Remaining Energy Display for Electric Vehicles
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Solution Overview
Problem
Users of navigation systems cannot determine the predicted remaining amount of energy while driving, as existing systems only calculate the energy needed to reach a destination without providing real-time updates on remaining energy levels.
Innovation Solution
A system that uses an onboard device connected to an information center to predict the remaining energy by searching for predicted passage points and estimating the energy needed to reach them, displaying this information to the user in real-time, including the use of GPS, real-time traffic data, and vehicle-specific information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If the system calculates only the energy needed to reach the destination, then the calculation is simple, but the user cannot know the predicted remaining energy while driving
Solution Approach 1:
The system pre-calculates and stores energy consumption data for multiple potential passage points along the route before the vehicle departs. This allows the system to quickly retrieve and display predicted remaining energy at various points without performing complex real-time calculations, thus providing comprehensive energy information while maintaining system simplicity
Solution Approach 2:
The system dynamically updates the displayed remaining energy information based on the vehicle's actual position and progress along the route. As the vehicle moves closer to predicted passage points, the system activates display of energy predictions for those points, providing timely and relevant information without continuously processing all possible points, thereby balancing information completeness with computational efficiency
2Ease of operation
If the system provides real-time energy information at multiple points, then the user can plan energy supplementation, but the calculation and processing load increases
Solution Approach 1:
The route is divided into multiple segments with predetermined passage points, and energy consumption is calculated separately for each segment. This segmentation allows the system to distribute computational tasks across different time intervals and geographic locations, reducing the peak processing load while providing detailed energy information at each segment boundary for better user planning
Solution Approach 2:
The system calculates energy predictions for more passage points than strictly necessary (excessive action), but only displays information for points that are relevant to the user's current situation and preferences. This approach provides comprehensive data for thorough energy planning while avoiding the need to process and display all possible information, thus reducing actual computational and display requirements
Data Source
AI summary
A system for generating information about predicted remaining amount of energy includes processing circuitry that obtains traveling state information which contains current vehicle position information, searches a predicted passage point through which the vehicle is predicted to pass in a future on a basis of the traveling state information when a vehicle traveling route is not set, predicts a predicted remaining amount of energy, the predicted remaining amount of energy being a predicted amount of traveling energy remaining at the time when the vehicle passes the predicted passage point and controls to provide information about the predicted remaining amount of energy and the predicted passage point corresponding to the predicted remaining amount of energy for a user.