EV Charging Network With Battery Peak Shaving Control
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Solution Overview
Problem
Electric vehicle (EV) charging systems face challenges in balancing grid power supply and demand, leading to variable charging times and increased costs due to peak demand charges, which can strain the grid and result in inefficient charging operations.
Innovation Solution
A charging network system that includes a grid interconnect, a battery energy storage system, and a computing system to optimize power distribution by determining requested power loads, grid power values, and generating commands for the battery energy storage system or charging station to manage power loads based on predicted parameters, thereby maintaining a consistent power draw and minimizing demand charges.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If EV charging systems draw power directly from the grid based on supply and demand, then charging operations can be performed with simple infrastructure, but charging times become variable and demand charges increase during peak periods
Solution Approach 1:
The battery energy storage system charges in advance during periods of low demand and discharges during peak demand periods, proactively preparing energy reserves to ensure consistent charging speed without waiting for grid power availability
Solution Approach 2:
The battery energy storage system acts as an intermediary between the grid and charging station, decoupling the charging process from direct grid dependency and enabling consistent power delivery regardless of grid conditions
2Productivity
If EV charging systems increase power draw to reduce charging times, then charging speed improves, but demand charges and grid strain increase
Solution Approach 1:
The system periodically charges the battery from the grid when demand charges are low, then uses stored energy during peak periods, creating a cyclical pattern that averages out demand charges while maintaining high charging speeds when needed
Solution Approach 2:
The system recovers energy by charging the battery during off-peak hours when electricity is cheaper, then utilizes this recovered energy during peak hours to avoid high demand charges, effectively discarding the price differential in favor of consistent charging performance
3Reliability
If battery energy storage system is added to the charging infrastructure, then power supply consistency and demand charge management improve, but system complexity increases
Solution Approach 1:
The battery energy storage system is electrically coupled in parallel with the grid interconnect and charging station, merging multiple power sources into a unified system that automatically manages power flow based on real-time conditions without requiring complex switching mechanisms
4Productivity
If real-time power load monitoring and dynamic parameter adjustment are implemented, then charging optimization and demand charge reduction improve, but control system complexity increases
Solution Approach 1:
The computing system continuously monitors real-time power load from the grid interconnect and requested power load from the charging station, then dynamically adjusts charging parameters based on this feedback loop to optimize charging while managing demand charges
Solution Approach 2:
The system dynamically adjusts charging parameters in real-time based on changing grid conditions and power loads, transitioning from static charging rates to adaptive control that responds to instantaneous system state
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
The system provides a more constant and efficient power supply to EV charging stations, reduces demand charges, and allows for peak shaving, enhancing the charging experience while optimizing economic benefits by predicting peak loads and managing power loads effectively.
Implementation Method 1
a battery energy storage system electrically coupled with the grid interconnect
Data Source
AI summary
A charging network includes one or more charging systems configured to be electrically coupled with a power source. The charging system includes a grid interconnect, a battery energy storage system electrically coupled with the grid interconnect, a charging station electrically coupled with the grid interconnect and the battery energy storage system in parallel, and a computing system. The computing system is configured to determine a requested power load by the charging station at a defined time; determine a defined power value of the grid interconnect; determine one or more charging parameters based at least in part on the requested power load by the charging station at the defined time and the defined power value of the grid interconnect; and generate one or more commands for the battery energy storage system or the charging station to provide a power load based on the one or more charging parameters.