EV Rescue Dispatch via GPS and Platform Mediation
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Solution Overview
Problem
The existing charging systems for all-electric vehicles face challenges such as long charging times, short driving mileage, and difficulties in rapidly locating stranded vehicles for rescue, leading to inefficient and unsatisfactory rescue services.
Innovation Solution
A charging rescue system comprising a rescue vehicle APP, a charging rescue vehicle, and a rescue platform that utilizes GPS, direct current and alternating current battery chargers, and a communication module to facilitate one-key rescue functions, optimize vehicle dispatching, and provide transparent and time-sensitive services.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If mobile charging vehicles are launched to provide rescue services, then the availability of charging rescue is improved, but the time to locate and dispatch rescue vehicles is extended due to unclear geographic position description
Solution Approach 1:
The patent introduces a rescue platform as an intermediary between users and rescue vehicles. The platform receives rescue requests with precise GPS coordinates, automatically dispatches the nearest available rescue vehicle, and tracks the rescue process in real-time. This mediator eliminates the time loss caused by manual location description and dispatch coordination.
Solution Approach 2:
The patent replaces the manual mechanical system of location description and vehicle dispatch with an automated electronic system. GPS technology provides precise location data, and the rescue platform's algorithm automatically selects and assigns the nearest rescue vehicle, substituting human coordination with automated electronic dispatch.
2Device complexity
If users passively wait for rescue vehicles after applying for rescue, then the rescue process is simplified, but the user experience deteriorates due to lack of real-time information
Solution Approach 1:
The patent implements real-time feedback mechanisms where the rescue platform continuously updates users on their rescue request status, the assigned rescue vehicle's location and arrival time, and the charging process progress. This feedback loop maintains system simplicity while dramatically improving user experience through transparent real-time information.
3Reliability
If half-compulsory service is implemented for rescue, then service coverage is improved, but service quality deteriorates due to long service process and poor service attitude
Solution Approach 1:
The patent transforms the static, rigid half-compulsory service model into a dynamic system where users can view real-time information about rescue vehicle location, estimated arrival time, and charging progress. This dynamic transparency allows users to make informed decisions while maintaining service coverage, improving perceived service quality without reducing accessibility.
4Device complexity
If traditional rescue dispatching is used without optimization, then system complexity is reduced, but rescue efficiency decreases due to inability to rapidly locate and dispatch nearest rescue vehicle
Solution Approach 1:
The patent implements preliminary action by pre-calculating and storing the geographic locations and operational statuses of all rescue vehicles in the rescue platform's database. When a rescue request is received, the system immediately queries this pre-prepared data to identify and dispatch the nearest available vehicle, eliminating the need for complex real-time calculations and significantly improving rescue efficiency.
Data Source
AI summary
A charging rescue system and method for all-electric vehicles comprises: a rescue vehicle APP, a charging rescue vehicle, a rescued vehicle APP, and a rescue platform. The rescue vehicle APP comprises a user module, an order module, a monitoring module, and a communication module. The charging rescue vehicle comprises a controller, a GPS device, a direct current battery charger, an alternating current battery charger, and a measuring module. The rescued vehicle APP comprises a user module, an order module, a payment module, and a communication module. The rescue platform comprises an access module, an order execution module, a vehicle selection module, a rescue vehicle monitoring module, a bill management module, and a user authentication module.

