EV Charging Reservation Using Priority-Based Energy Storage Selection
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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 and potential breakdowns during travel, is addressed by determining a target energy storage apparatus based on vehicle location and making a reservation for timely power replenishment.
Innovation Solution
An in-vehicle system and cloud platform collaborate to identify suitable energy storage apparatuses based on current location, power supply status, and driving information, prioritizing ultra-fast charging and ensuring the target apparatus is reserved for the vehicle, preventing occupation by others.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If charging piles are increased in quantity, 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, and pre-deploying mobile energy storage units to high-demand locations before users arrive. This anticipatory deployment increases charging availability without requiring permanent infrastructure at all locations, thereby avoiding the complexity of building extensive fixed charging networks.
Solution Approach 2:
Mobile energy storage units serve as intermediaries between the centralized energy grid and electric vehicles. These mobile units receive energy from grid charging stations and transport it to locations where charging is needed, decoupling the fixed infrastructure from the flexible service delivery and reducing overall infrastructure complexity while maintaining high availability.
2Adaptability or versatility
If users search for available charging piles manually, then charging location flexibility improves, but time consumption increases
Solution Approach 1:
The system implements real-time feedback loops where mobile energy storage units continuously report their location, availability, and energy status to the platform. The platform processes this feedback and dynamically updates user interfaces, providing users with real-time information about nearby mobile charging units. This eliminates the need for users to manually search, as the system proactively pushes relevant charging options based on user location and preferences.
Solution Approach 2:
The system enables self-service by automatically matching users with suitable mobile energy storage units based on real-time data. The platform autonomously handles the entire process from detecting user charging needs to selecting and directing users to the nearest available mobile unit, eliminating manual searching while maintaining flexibility in charging location selection.
3Ease of operation
If mobile energy storage units are deployed, then charging accessibility improves, but system complexity and operational costs increase
Solution Approach 1:
Mobile energy storage units are designed as multi-functional platforms that can perform multiple roles: they serve as mobile charging stations for electric vehicles, as energy storage nodes for the grid, and as data collection points for demand analysis. This universality allows a single mobile unit to replace multiple specialized devices, reducing overall system complexity while improving charging accessibility across diverse locations.
Solution Approach 2:
The system dynamically adjusts operational parameters of mobile energy storage units based on real-time demand conditions. Units can change their state of charge, mobility status, and service location in response to varying user needs and grid conditions. This parameter flexibility allows the system to maintain simplicity in individual unit design while achieving complex adaptive behavior at the system level through coordinated parameter changes.
Data Source
AI summary
A charging reservation method includes: an in-vehicle system, in response to a charging request, acquiring at least two energy storage apparatuses to be used for power supply that meet a charging condition and power supply status of each energy storage apparatus to be used 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 to be used for power supply. The in-vehicle system determining a target energy storage apparatus from among the at least two energy storage apparatuses to be used 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 to be used for power supply, and sending charging reservation information to the target energy storage apparatus.