EV Charging Station Recommendation System Using Real-Time Power Data
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Solution Overview
Problem
Electric vehicle drivers face challenges in finding charging stations with the shortest waiting times due to the inefficiencies in existing systems for calculating and recommending optimal charging locations based on power consumption data.
Innovation Solution
A system and method that utilize big data to calculate and recommend electric vehicle charging stations with the shortest charge waiting times by integrating a driving information receiving unit, a charging station information receiving unit, a charge waiting time calculation unit, and an optimal charging station providing unit, which determines nearby stations that can be reached within an estimated discharge time and have minimal waiting times, improving accuracy through real-time power consumption data and actual charge time feedback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If drivers select charging stations based on location proximity only, then the vehicle can reach a charging station quickly, but the charge waiting time becomes significant and unpredictable
Solution Approach 1:
The system changes the parameter basis for charging station selection from simple location proximity to a composite parameter that includes real-time power consumption data. By monitoring actual power consumption at charging stations and using this data to predict charge waiting times, the system transforms the selection criterion from static (distance) to dynamic (real-time operational status), thereby reducing unpredictable waiting time while maintaining reasonable travel time.
2Device complexity
If the charging station recommendation system uses basic location data only, then the system complexity remains low, but the accuracy of charge waiting time calculation deteriorates
Solution Approach 1:
The system implements a feedback mechanism where actual power consumption data from charging stations is continuously collected and used to update and refine charge waiting time predictions. This feedback loop allows the system to improve calculation accuracy over time by learning from real operational data, transforming the system from a static recommendation tool to a dynamically improving predictive system without requiring proportionally increased complexity.
3Measurement precision
If real-time power consumption data is collected from all charging stations, then the accuracy of charge waiting time prediction improves, but the amount of data processing and system complexity increases
Solution Approach 1:
The system extracts only the critical parameter needed for prediction - real-time power consumption data - from charging stations, rather than collecting and processing all possible operational parameters. This selective extraction approach maintains high prediction accuracy by focusing on the most influential factor (power consumption directly correlates with charge waiting time) while minimizing data processing complexity by excluding unnecessary information.
Data Source
AI summary
The present disclosure relates to a big data-based method or system for recommending electric vehicle (EV) charging stations with the shortest charge waiting time, which comprises a driving information receiving unit for receiving a charging station search request, and information about estimated discharge time and a current location from an electric vehicle; a charging station information receiving unit for receiving power consumption data from charging stations in real time; a charge waiting time calculation unit for receiving the power consumption data from the charging station information receiving unit, and, in response to a charging station search request, calculating charge waiting time of the charging stations on the basis of their power consumption; and an optimal charging station providing unit for receiving the information about the estimated discharge time and current location from the driving information receiving unit, and receiving the charge waiting time from the charge waiting time calculation unit, and providing information about at least one optimal charging station that can reached within the estimated discharge time based on the current location and can recharge the vehicle in the shortest time.