EV Route Guidance for Destination Charge and Next-Trip Planning
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Solution Overview
Problem
Existing route guidance technologies for electric vehicles primarily focus on ensuring a safe arrival at a destination without considering the battery state for subsequent driving, leading to inconvenience due to insufficient battery charge levels.
Innovation Solution
A driving information display apparatus and method that provide personalized route guidance by analyzing driving patterns and schedules to predict the next driving type, determining a suitable remaining charge level at the destination, and incorporating passages through charging stations to ensure adequate battery levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If route guidance is provided to ensure safe arrival at destination by maintaining minimum battery charge level, then reliability of arrival is improved, but inconvenience occurs during next drive due to insufficient battery charge level
Solution Approach 1:
The system performs preliminary action by predicting the next driving route and calculating the required battery charge level before the current trip ends. It determines the optimal remaining charge level at destination by considering future charging costs and electricity prices, then guides the vehicle to charge to this predetermined level, ensuring both reliable arrival and convenient next drive without requiring real-time adjustments.
Solution Approach 2:
The system applies dynamics by making the target remaining charge level adaptive rather than fixed. It dynamically adjusts the charge level based on varying factors including predicted next driving distance, time of day electricity prices, charging station availability, and weather conditions. This dynamic adjustment resolves the contradiction by optimizing charge levels for both current reliability and future convenience under different operating conditions.
2Reliability
If charging station passage is incorporated to maintain minimum battery charge level, then battery state for current driving is improved, but additional time is required for charging stops
Solution Approach 1:
The system applies partial action by charging to an optimal remaining charge level that may be higher or lower than the minimum required level, depending on predicted future needs. Instead of always charging to full or minimum levels, it charges to the precise amount needed for both current and next driving requirements, reducing unnecessary charging time while ensuring adequate battery state for reliable operation.
3Ease of operation
If personalized route guidance is provided by analyzing driving patterns and schedules, then ease of operation is improved, but device complexity increases
Solution Approach 1:
The system applies self-service by automatically collecting and analyzing the driver's own historical driving data, destination patterns, and schedule information to generate personalized route guidance. The system learns from the driver's behavior patterns and autonomously optimizes charge level recommendations without requiring manual input or complex external systems, achieving personalization while limiting complexity growth.
Data Source
AI summary
In a driving information display apparatus and method for providing guidance on a personalized electric vehicle driving route, the driving information display apparatus can include a processor configured to perform control to receive driving guidance information and the location information of an electric vehicle and output a guidance screen corresponding to the driving guidance information, and a storage unit configured to store road information and an algorithm run by the processor. The driving guidance information can include route information including a passage via a charging station that is generated by deriving a driving type based on driving information including the destination of the electric vehicle, deriving a weight for each charging factor based on the driving information, and using the derived driving type and the derived weight for each charging factor.