Smart Optimized Electric Vehicle Public Charging System with Queue Management

Abstract

The present invention relates to a smart optimized electric vehicle public charging system that efficiently manages the charging process for electric vehicles (EVs) at public charging stations. The system utilizes a centralized server to determine queue positions for EVs based on factors such as current battery level, distance to destination, and charging station capacity. An anti-cheat mechanism is incorporated to prevent malpractice and ensure fair usage. This invention addresses the growing demand for EV charging infrastructure and optimizes the use of available resources, potentially resolving issues faced by companies like Tesla and other EV manufacturers.

Specification

Description:FIELD OF INVENTION
[001] The present invention pertains to the field of electric vehicle charging infrastructure and management systems. More specifically, it relates to intelligent queue management and optimization of public charging stations for electric vehicles.
BACKGROUND AND PRIOR ART
[002] The rapid growth of electric vehicles has led to increased demand for public charging infrastructure. However, current systems often result in long wait times, inefficient use of charging stations, and user frustration. Companies like Tesla have faced challenges in managing their public charging networks effectively. Existing solutions lack comprehensive queue management and optimization features, leading to suboptimal utilization of charging resources. There is a need for a smart system that can efficiently manage EV charging queues while considering various factors to optimize the charging process.
SUMMARY OF THE INVENTION
[003] The present invention provides a smart optimized electric vehicle public charging system that efficiently manages charging queues and optimizes the use of public charging stations. The system utilizes a centralized server to determine queue positions for EVs based on factors such as current battery level, distance to destination, and charging station capacity. An anti-cheat mechanism is incorporated to prevent malpractice and ensure fair usage. The system integrates with existing smart vehicle technology and includes provisions for emergency vehicles and unexpected situations. This invention aims to resolve the challenges faced in EV charging infrastructure management and improve the overall user experience.
DETAILED DESCRIPTION OF THE INVENTION
[004] The smart optimized electric vehicle public charging system comprises the following key components and features: A central server manages all communications between electric vehicles and charging stations. It processes data and determines queue positions based on various factors.

[005] The system determines queue positions based on:
a) Current battery level of the vehicle
b) Distance to the user's set destination
c) Capacity and availability of nearby charging stations
[006] To prevent malpractice, the system includes:
a) Destination lock: Users cannot change their destination after setting it in the system
b) Time frame monitoring: Users must reach their set destination within a specified timeframe
[007] The system is designed to integrate with already available smart vehicle systems, requiring minimal additional hardware.
[008] The system allows for a limited number of detours or changes in plans. Excessive deviations are flagged, and the vehicle may receive lower priority in future charging sessions.
[009] The system includes provisions for emergency charging needs and priority vehicles such as ambulances and police cars.
[010] The system optimizes charging station usage by balancing the load across multiple stations in an area, though it may not achieve perfect distribution.
[011] A user-friendly interface allows drivers to interact with the system, view their queue position, and receive updates.
[012] The system operates as follows: When an EV driver needs to charge their vehicle, they input their destination into the system. The centralized server processes this information along with the vehicle's current battery level and location. The server calculates the optimal charging station and queue position based on the aforementioned factors and the current load on nearby charging stations. The driver is directed to the selected charging station and given an estimated wait time. The anti-cheat system monitors the vehicle's progress to ensure compliance with the set destination and timeframe. In case of emergencies or priority vehicles, the system can adjust queue positions accordingly. The system continuously optimizes queue management across multiple charging stations to balance load and minimize wait times. , C , Claims:1. A smart optimized electric vehicle public charging system comprising:
a) A centralized server for managing communications between electric vehicles and charging stations;
b) A queue position algorithm that considers vehicle battery level, distance to destination, and charging station capacity;
c) An anti-cheat system to prevent malpractice in queue management;
d) Integration capabilities with existing smart vehicle systems;
e) Provisions for emergency and priority vehicles;
f) A load balancing mechanism for optimizing charging station usage;
g) A user interface for driver interaction with the system.
2. The system of claim 1, wherein the anti-cheat system includes a destination lock feature and time frame monitoring.
3. The system of claim 1, wherein the system allows for a limited number of route deviations before flagging a vehicle for lower priority in future charging sessions.
4. The system of claim 1, wherein the load balancing mechanism distributes charging requests across multiple stations in an area to optimize overall charging efficiency.
5. A method for managing electric vehicle charging queues, comprising the steps of:
a) Receiving a charging request from an electric vehicle, including current battery level and destination information;
b) Calculating an optimal charging station and queue position based on the received information and current charging station loads;
c) Directing the vehicle to the selected charging station;
d) Monitoring the vehicle's progress to ensure compliance with the set destination and timeframe;
e) Adjusting queue positions as necessary for emergency or priority vehicles;
f) Continuously optimizing queue management across multiple charging stations.

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