EV Charging Station Cloud Communication for Grid-Balanced Charging
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Solution Overview
Problem
The challenge of maintaining grid balance due to variable electricity demand from electric vehicles (EVs) and intermittent renewable energy sources, which can lead to blackouts, is addressed by enabling smart charging schedules through digital communication between EVs and the grid.
Innovation Solution
Implementing a computer-implemented method for digital data communication between EVs and charging stations using the OSI model, with data frames transmitted via pulse-width modulation and power-line communication, and processing these frames in cloud computing to optimize charging schedules.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If electric vehicles charge at peak demand times, then user convenience is improved, but grid stability deteriorates
Solution Approach 1:
The system performs preliminary actions by pre-charging electric vehicles during off-peak hours when grid demand is low, before the actual need for electricity arises. The controller schedules charging operations in advance based on predicted demand patterns, ensuring vehicles are charged before peak periods without compromising user convenience.
Solution Approach 2:
The charging system dynamically adjusts charging schedules based on real-time grid conditions and demand signals. The controller continuously monitors grid status and modifies charging rates and timing accordingly, allowing the system to adapt between prioritizing user convenience during low-demand periods and protecting grid stability during high-demand periods.
2Loss of energy
If renewable energy sources are used intermittently, then environmental benefits are improved, but grid balance deteriorates
Solution Approach 1:
The system implements feedback mechanisms where the controller receives continuous information about renewable energy generation levels and grid balance status. Based on this feedback, the controller adjusts charging schedules to maximize utilization of available renewable energy while maintaining grid balance, preventing both over-charging during high generation and under-charging when generation is low.
3Reliability
If charging schedules are optimized for grid balance, then grid stability is improved, but charging flexibility deteriorates
Solution Approach 1:
The system maintains charging flexibility through dynamic scheduling that can adapt to both grid requirements and user needs. The controller adjusts charging parameters in real-time, allowing optimization for grid balance when necessary while preserving user-convenient charging options when grid conditions permit, thus maintaining both stability and flexibility.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach allows for efficient management of EV charging to balance grid demand, enhancing grid stability and reducing the risk of blackouts by optimizing charging times and enabling EVs to act as energy sources.
Implementation Method 1
transmitting the first set of data frames to the electric vehicle by transmitting a first bit stream in accordance with the first set of data frames over the connection
Implementation Method 2
receiving a second bit stream from the electric vehicle over the connection, processing the second bit stream to obtain a second set of data frames
Data Source
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AI summary
Disclosed is a system for communicating between and electric vehicle and a charging station, the system comprising a remote computing system and a charging station, wherein the charging station is connected to the remote computing system, the system further comprising means for: establishing a connection for digital data communication to the electric vehicle by the charging station, processing data, by the remote computing system, to produce a first set of data frames to be transmitted to the electric vehicle, transmitting the first set of data frames to the charging station by the remote computing system, transmitting, by the charging station, the first set of data frames to the electric vehicle by transmitting a first bit stream in accordance with the first set of data frames over the connection, receiving, by the charging station, a second bit stream from the electric vehicle over the connection, processing, by the charging station, the second bit stream to obtain a second set of data frames, transmitting, by the charging station, the second set of data frames to the remote computing system, and processing the second set of data frames by the remote computing system.