EV Charging Server Estimation for Destination SOC Shortage
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Solution Overview
Problem
Existing systems for electric vehicle charging do not account for increased power consumption due to user actions, such as heavy air conditioner use, leading to potential State of Charge (SOC) shortages in the vehicle's battery.
Innovation Solution
A server-based system that estimates power requirements for a vehicle's journey, considers user actions and weather conditions, and adjusts charging levels to prevent SOC shortages by increasing the power amount when consumption is anticipated, using a network of communication terminals, charging devices, and a weather server to communicate and control the charging process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If charging amount is estimated based only on travel route and basic power consumption, then charging system is simple and fast, but SOC shortage occurs when user heavily uses air conditioner or other power-consuming devices
Solution Approach 1:
The system performs preliminary actions by acquiring user schedule information before charging estimation, predicting power consumption based on scheduled activities (such as air conditioner usage, cooking, bathing), and adjusting charging amount in advance to prevent SOC shortage
Solution Approach 2:
The charging estimation system is segmented into multiple independent modules: travel route analysis module, user schedule acquisition module, power consumption prediction module, and charging amount calculation module. Each module handles specific tasks, making the overall system manageable despite its complexity
2Reliability
If charging amount is increased to account for user actions, then SOC shortage is prevented, but unnecessary charging increases energy waste
Solution Approach 1:
The system uses feedback mechanisms by continuously monitoring actual power consumption during user activities, comparing it with predicted consumption, and adjusting future charging estimates accordingly. This feedback loop ensures accurate charging without excessive energy waste
Solution Approach 2:
The system dynamically changes power consumption parameters based on user schedule and environmental conditions (such as weather forecasts for air conditioner usage). By adjusting these parameters according to actual usage patterns, the system optimizes charging amount to match real needs
Data Source
AI summary
A server includes a processor configured to: acquire a starting position where a user starts to use a moving object including a rechargeable secondary battery, and a destination of the user; estimate a power amount for the moving object to move from the starting position to the destination; determine whether or not power of the secondary battery is consumed at the destination; increase the power amount when the power of the secondary battery is consumed at the destination; and charge the moving object to the power amount.