EV Charging Station Battery Banks for Peak Demand Reliability

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Solution Overview

Problem

Charging electric vehicles face challenges due to insufficient power supply from electric utility companies, necessitating a solution to store and manage electrical energy effectively to meet demand.

Innovation Solution

A charging station equipped with a battery bank and a server that predicts energy demand by analyzing usage patterns, stores energy during low demand periods, and allocates it for future use, ensuring efficient charging services.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If charging stations rely solely on transmission lines for power supply, then the system is simple, but the charging service reliability deteriorates during peak demand when line capacity is insufficient

Engineering Contradiction:
Improvecharging service reliabilityVSAvoidsystem complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The charging station performs preliminary energy storage during off-peak hours when transmission line capacity is sufficient. The battery bank charges in advance during low-demand periods, so that when peak demand occurs and line capacity becomes insufficient, the pre-stored energy can be discharged to maintain continuous charging service without interruption.

Inventive Principle:
Principle #10Preliminary action

2Reliability

If the charging station stores electrical energy during low demand periods, then the charging service reliability improves, but the device complexity increases due to adding battery bank infrastructure

Engineering Contradiction:
Improvecharging service reliabilityVSAvoidcharging station complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The battery bank serves multiple functions: it stores energy during off-peak hours for later discharge during peak demand, provides backup power supply, and enables the charging station to operate independently from transmission line constraints. This multi-functionality justifies the added complexity by delivering comprehensive reliability improvements.

Inventive Principle:
Principle #6Universality (Multi-functionality)

3Quantity of substance

If the charging station decreases energy provided to current electric vehicles, then more energy can be stored for future services, but the current charging productivity deteriorates

Engineering Contradiction:
Improveenergy storage quantityVSAvoidcharging productivity
Core Design Contradiction:
Quantity of substanceVSProductivity

Solution Approach 1:

The charging station operates in periodic cycles: during off-peak hours when demand is low, it prioritizes energy storage in the battery bank; during peak demand periods, it switches to discharging stored energy to maintain charging services. This periodic switching between storage and discharge modes allows the system to accumulate energy without permanently sacrificing charging productivity.

Inventive Principle:
Principle #19Periodic action

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 solution ensures reliable and efficient charging services by optimizing energy storage and allocation, meeting peak demand and user preferences while reducing reliance on limited transmission line capacity.

Implementation Method 1

A charging station may include a battery bank for storing electrical energy for later use to charge electric vehicles

Methodology Applied
Scientific EffectElectrical energy storage: Battery (electricity)

Data Source

PatentUS20240010087A1Systems and Methods for Charging Electric Vehicles
Publication Date: 2024.01.11 ATLIS MOTOR VEHICLES INC
  • US20240010087A1 patent drawing
  • US20240010087A1 patent drawing
  • US20240010087A1 patent drawing

AI summary

A charging system includes a server that receives information from a plurality of charging stations and a plurality of electric vehicles. The server is configured to analyze the information to predict and schedule future charging services for one or more electric vehicles of the plurality of electric vehicles. The server is further configured to predict an amount of electrical energy needed for future charging services for the one or more electric vehicles. The server is further configured to instruct the predicted service stations that will provide the service to store a portion of the predicted required electrical energy in a respective battery bank associated with the service station for delivery to an electric vehicle.