EV Charging Station Parking Status Prediction for Shorter Waits
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Solution Overview
Problem
The increasing demand for electric vehicle charging stations is often met with inefficiencies such as prolonged wait times and suboptimal charging allocation due to a shortage of available parking spaces, leading to poor user experiences.
Innovation Solution
Electric vehicle charging stations (EVCSs) utilize sensors and user information to dynamically manage parking space statuses, transmitting real-time availability and estimated occupancy changes to optimize service allocation, allowing for more efficient charging resource management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If EVCSs use traditional static parking space management, then system complexity is low, but wait times are prolonged and charging allocation is suboptimal
Solution Approach 1:
The system performs preliminary actions by predicting future parking space availability status before actual changes occur. The EVCS monitors current status, predicts future states based on patterns, and prepares allocation decisions in advance, allowing the system to proactively manage parking spaces rather than reactively responding to changes.
Solution Approach 2:
The system implements continuous feedback loops where the EVCS monitors actual parking space status changes, compares predicted status with actual status, and uses this feedback to refine future predictions. This feedback mechanism enables the system to learn from past performance and improve charging allocation efficiency over time while maintaining manageable complexity.
2Ease of operation
If EVCSs monitor parking space status in real-time, then user experience improves, but system complexity increases
Solution Approach 1:
The system applies partial monitoring by focusing only on critical status changes rather than continuously tracking every aspect of parking space conditions. The EVCS monitors key parameters such as occupancy status and predicts future states, providing sufficient information to improve user experience without implementing overly complex comprehensive monitoring of all possible variables.
3Loss of time
If EVCSs allocate charging services based on predicted status, then wait times are reduced, but measurement precision requirements increase
Solution Approach 1:
The system performs preliminary status determination by predicting future parking space availability before the actual status changes occur. This allows the EVCS to allocate charging services based on anticipated conditions rather than waiting for actual status changes, significantly reducing wait times while using pattern recognition to maintain acceptable prediction accuracy.
Data Source
AI summary
Systems and methods are provided herein for providing a method for better allocation of EVCS services. This may be accomplished by an electric vehicle charging station (EVCS) updating a status of a parking space associated with the EVCS. For example, when the EVCS is charging an electric vehicle, the status of the parking space may be “occupied.” After the electric vehicle leaves the parking space, the EVCS may update the status of the parking space to “available.” The EVCS may also transmit the parking space status to electric vehicles requiring charging.