EV Charging Reservation Using Availability and Route Priority
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Solution Overview
Problem
The challenge of range anxiety in electric vehicles due to insufficient and occupied charging piles, leading to failed charging attempts and vehicle breakdowns, is addressed by a charging reservation method and system that determines and reserves a target energy storage apparatus based on vehicle location and driving information.
Innovation Solution
An in-vehicle system, in conjunction with a cloud platform, identifies suitable energy storage apparatuses based on current location, power supply status, and occupancy, determining a target apparatus for charging reservation, prioritizing ultra-fast charging when available, and adjusting for driving time and road conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If charging piles are increased in number, then charging availability improves, but infrastructure investment and complexity increase
Solution Approach 1:
The system performs preliminary actions by predicting future charging需求的时空分布, pre-deploying mobile energy storage apparatus to high-demand locations before users arrive, and pre-reserving charging slots to avoid congestion and ensure charging availability without requiring widespread fixed infrastructure
Solution Approach 2:
The system implements dynamic deployment of mobile energy storage apparatus that can be relocated based on real-time charging demand patterns, transforming the static charging infrastructure into a dynamic, adaptive system that concentrates resources where needed most, thereby improving charging availability without proportionally increasing overall infrastructure
2Ease of operation
If users search for available charging piles manually, then charging freedom is maintained, but time consumption increases
Solution Approach 1:
The system enables self-service by automatically predicting user charging needs based on travel plans and battery status, autonomously selecting and reserving appropriate charging slots, and coordinating mobile energy storage deployment without requiring users to manually search or book charging facilities
Solution Approach 2:
The system implements feedback loops that continuously monitor user charging behavior, battery consumption patterns, and charging pile utilization, using this data to refine predictions and improve the accuracy of automatic charging reservations, thereby reducing search time while maintaining user convenience
3Reliability
If charging reservation is implemented, then charging success rate improves, but system coordination complexity increases
Solution Approach 1:
The system introduces a cloud-based reservation platform as an intermediary that coordinates between users, mobile energy storage apparatus, and charging piles, managing reservations, tracking arrivals, and reallocating resources as needed, thereby ensuring high charging success rates while centralizing coordination complexity in a dedicated system component
Solution Approach 2:
The system segments the charging infrastructure into modular components (mobile energy storage apparatus, fixed charging piles, cloud platform) that can operate semi-independently, with standardized communication interfaces, allowing each component to be managed separately while maintaining overall system coordination for high charging success rates
4Speed
If ultra-fast charging is prioritized, then charging speed improves, but energy consumption and infrastructure requirements increase
Solution Approach 1:
The system dynamically adjusts charging parameters (power level, charging rate) based on real-time conditions including battery state of charge, temperature, and grid availability, enabling ultra-fast charging when conditions permit while automatically reducing to slower charging modes when energy conservation is prioritized, thereby balancing charging speed with energy consumption
Data Source
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AI summary
The embodiments of the present application provide a charging reservation method and system, where the charging reservation method includes: an in-vehicle system, in response to a charging request, acquiring at least two energy storage apparatuses for power supply that meet a charging condition and power supply status of each energy storage apparatus for power supply; the in-vehicle system determining a power supply priority of each energy storage apparatus for power supply based on a selection priority and an occupancy situation of each energy storage apparatus for power supply, where the occupancy situation is determined based on current reservation status of each energy storage apparatus for power supply; the in-vehicle system determining a target energy storage apparatus from among the at least two energy storage apparatuses for power supply based on the power supply priority and driving information for the vehicle to be charged to drive to each energy storage apparatus for power supply, and sending charging reservation information to the target energy storage apparatus; and the target energy storage apparatus, in response to the charging reservation information, updating current reservation status corresponding to the target energy storage apparatus to enable a charging reservation of the vehicle to be charged.