EV Charging System with Dynamic Power Modulation
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Solution Overview
Problem
Existing electric vehicle charging systems are rigid and inflexible, limiting the quantity and nature of support for recharging fleets of electric vehicles, which can strain electrical networks and fail to optimize energy usage.
Innovation Solution
A system comprising multiple recharging devices connected to an electrical energy supply network, with an optimization module to build charging profiles and a regulation module to adjust power delivery based on network conditions, coordinating with other devices to optimize energy distribution and reduce network impact.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple electric vehicles are charged simultaneously using traditional charging approaches, then the charging capacity of the system is improved, but the impact on the electrical grid increases significantly
Solution Approach 1:
The charging system dynamically adjusts power delivery based on real-time grid conditions and predicted consumption patterns. The system transitions from static charging schedules to dynamic power modulation, allowing charging rates to vary continuously according to grid capacity and vehicle needs, thereby accommodating more vehicles without overwhelming the grid at any moment
Solution Approach 2:
The system performs preliminary analysis of grid consumption patterns and predicts future power availability before actual charging occurs. By pre-processing grid data and forecasting consumption, the system can proactively plan charging schedules that optimize grid utilization, allowing multiple vehicles to charge simultaneously during periods of high grid capacity while preventing overload during constrained periods
2Adaptability or versatility
If traditional rigid charging approaches are used, then the system structure is simple, but the adaptability to different charging scenarios and grid conditions is limited
Solution Approach 1:
The charging system is divided into independent modular components: individual charging devices, a coordination device for managing multiple chargers, and an optimization module for each device. This segmentation allows each component to operate semi-independently while contributing to the overall adaptive charging strategy, enabling flexible configuration for different scenarios without requiring complete system redesign
Solution Approach 2:
The charging devices are designed with multi-functional capabilities, serving both as power delivery units and as data collection points for grid analysis. The coordination device performs multiple functions including real-time monitoring, predictive modeling, and centralized scheduling. This multi-functionality reduces the need for separate specialized components, achieving high adaptability without proportionally increasing system complexity
3Loss of time
If charging power is increased to reduce charging time, then the productivity of charging is improved, but the strain on the electrical network increases
Solution Approach 1:
The system implements periodic monitoring and adjustment of charging power based on grid conditions. Instead of delivering maximum power continuously, the system cycles through different power levels according to real-time grid capacity assessments, predicting optimal charging windows and delivering accelerated charging during these periods while reducing power during grid-constrained periods, thereby reducing overall network strain while maintaining acceptable charging speeds
Data Source
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Figure 3A~3B
AI summary
The invention relates to a system for charging electric vehicles. The system comprises charging devices (RECH) comprising an optimisation module configured to build a charging profile representing a first electric charging power suitable for being supplied by the charging device for charging an electric vehicle, and a regulation module for regulating the electric power supplied by the charging device and comprising a first operating mode in which the regulation module applies the charging profile, and a second operating mode in which the device outputs a second electric charging power, a coordination device (COOR) for communicating with the charging devices, the coordination device (COOR) being suitable for triggering a coordinated optimisation phase during which charging devices (RECH) build a charging profile from a piece of individual charging data generated by the corresponding optimisation module and a coordination signal (SIGNi) generated by the coordination device (COOR), and for triggering a coordinated regulation phase during which charging devices (RECH) implement the second operating mode, the second corresponding electric charging power being determined at least from one piece of status data of the electric power supply network determined by the coordination device from measurements representing a status of the network taken during a time interval preceding said instant in question.