Mobile Charging System Server Clustering for EV Standby Locations
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Solution Overview
Problem
The expansion of charging infrastructure for eco-friendly vehicles is slow, leading to difficulties for drivers in finding charging stations, especially when driving long distances, and there is no effective countermeasure for battery discharge during travel.
Innovation Solution
A mobile charging system that uses vehicle and charger information to determine optimal standby and charging locations through a server-based clustering system, allowing mobile chargers to move to designated locations for efficient charging.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If charging infrastructure is expanded to cover more areas, then charging availability improves, but infrastructure cost and complexity increase
Solution Approach 1:
The patent transforms the static charging infrastructure into a dynamic mobile charging service. Instead of building fixed charging stations across all areas, mobile chargers move to where vehicles need charging, making the infrastructure adaptable and flexible while reducing overall system complexity
Solution Approach 2:
The mobile charger serves multiple functions: it can charge multiple vehicles sequentially, move to different locations, and adapt to various charging需求的. This multi-functionality replaces the need for multiple fixed charging stations, reducing infrastructure complexity while maintaining broad charging availability
2Ease of operation
If drivers manually find and visit charging stations, then charging service is provided, but time loss and operational complexity increase
Solution Approach 1:
The system enables self-service through automated matching and navigation. The server automatically matches vehicles with nearby mobile chargers based on location and charging needs, and provides navigation guidance to the charging location, eliminating the need for drivers to manually search for charging stations
Solution Approach 2:
The server continuously receives location information from both vehicles and mobile chargers, processes this feedback data, and dynamically adjusts charging location assignments and navigation guidance to optimize charging convenience and minimize time loss
3Reliability
If mobile chargers wait at fixed locations, then charging service is available, but operational efficiency decreases
Solution Approach 1:
The mobile charger transitions from a static waiting position to dynamic movement between charging locations. The charger moves to where vehicles are located, maximizing its operational efficiency while maintaining service availability through continuous mobility and server-coordinated dispatch
Solution Approach 2:
The server performs preliminary actions by pre-calculating optimal charging locations, determining charging sequences, and providing navigation guidance before the actual charging occurs. This preliminary coordination ensures that mobile chargers can efficiently move directly to charging locations without unnecessary delays
Data Source
AI summary
A mobile charging system includes: at least one or more vehicles collecting and transmitting vehicle information; at least one or more mobile chargers collecting and transmitting charger information and supplying charging power to the at least one or more vehicles; and a server performing clustering within a range that each of the at least one or more mobile chargers is capable of covering, based on the vehicle information and the charger information and determining a standby location of each of the at least one or more mobile chargers and a charging location of each of the at least one or more vehicles in each cluster.


