EV Charge Control Using Congestion-Based Partial Charging
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Solution Overview
Problem
Existing electric vehicle charging systems face congestion issues due to long charging times, particularly for vehicles with long travel plans, leading to inefficiencies and potential delays.
Innovation Solution
A charge control device that uses a processor to limit the target charging amount of electric vehicles when another vehicle is likely to be charged within a predetermined range, preventing congestion by calculating a congestion prediction value and adjusting charging efficiency accordingly, and notifying users of alternative charging stands for full charging.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the target charging amount is increased to ensure full charging, then charging completeness is improved, but charging congestion increases and charging efficiency decreases
Solution Approach 1:
The system performs partial charging actions by limiting the target charging amount to less than the full charging amount when congestion is predicted. This partial charging prevents congestion while still meeting the vehicle's travel needs, resolving the contradiction between charging completeness and charging efficiency.
Solution Approach 2:
The charge control device uses feedback from congestion prediction values to dynamically adjust the target charging amount. When congestion is predicted, the system reduces the charging amount; when no congestion is predicted, it allows full charging. This feedback mechanism ensures both charging completeness and efficiency are maintained under different conditions.
2Productivity
If the target charging amount is limited to avoid congestion, then charging efficiency is improved, but charging completeness may be insufficient
Solution Approach 1:
The system performs preliminary congestion prediction before charging begins. By predicting congestion in advance and adjusting the target charging amount accordingly, the system prevents congestion while ensuring the vehicle receives sufficient charge for its travel needs, thus maintaining both efficiency and completeness.
Solution Approach 2:
The system changes the charging parameter (target charging amount) based on congestion prediction conditions. When congestion is predicted, the target charging amount is reduced; when no congestion is predicted, the full charging amount is allowed. This dynamic parameter adjustment resolves the contradiction between efficiency and completeness.
3Productivity
If automatic driving is used to manage vehicle movement in charging areas, then charging operation efficiency is improved, but system complexity increases
Solution Approach 1:
The system uses self-service by having the charge control device automatically predict congestion and determine appropriate target charging amounts without requiring complex manual intervention or additional automated driving systems. The existing charging infrastructure performs the control function, reducing overall system complexity while improving efficiency.
Data Source
AI summary
A charge control device for an electric vehicle includes a processor having hardware. Further, the processor limits, when there is another electric vehicle that is likely to be charged within a predetermined range from a charging stand, a target charging amount of the electric vehicle by the charging stand to less than a charging amount at which charging efficiency decreases.