Automated Indoor EV Charging Sites for Higher Utilization

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Solution Overview

Problem

Public EV charging sites face issues with low utilization, unpredictable reliability, safety concerns, and poor customer experience due to underutilization, high upfront costs, maintenance challenges, and lack of infrastructure optimization.

Innovation Solution

A computerized system that identifies synthetic fleets through data analytics, operates indoor charging sites with automated management, and provides managed charging to optimize resource allocation and eliminate driver involvement, ensuring higher site utilization and efficiency.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If public charging stations are increased in number, then charging availability is improved, but site utilization decreases and profitability worsens

Engineering Contradiction:

Improvecharging availabilityVSAvoidsite utilization

Core Design Contradiction:

ReliabilityVSProductivity

Solution Approach 1:

The system implements automated charging management where the charging infrastructure serves itself through algorithmic control of charge scheduling, vehicle routing, and resource allocation, eliminating the need for manual intervention while optimizing utilization automatically

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system continuously monitors charging site utilization, vehicle locations, and demand patterns, then uses this feedback to dynamically adjust charging schedules and resource allocation to maintain optimal utilization levels

Inventive Principle:

Principle #23Feedback

2Reliability

If managed charging with automated systems is implemented, then operational reliability is improved, but device complexity increases

Engineering Contradiction:

Improveoperational reliabilityVSAvoidsystem complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The automated management system performs multiple functions including charge scheduling, vehicle tracking, demand prediction, and resource optimization through a single integrated platform, reducing overall system complexity despite increased capabilities

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system replaces manual operational processes with algorithmic automation, using software-based control to manage charging operations instead of human intervention, thereby improving reliability while managing complexity through digital rather than mechanical means

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS20250376067A1System and method of organizing and operating electric charging sites

Publication Date: 2025.12.11 SHARP GEORGE G

AI summary

Presented are a method and system of an algorithmic and computerized approach to organizing and operating electric vehicle (EV) charging sites. The system leverages statistical modeling, real-time data analytics, and automated vehicle management to optimize charging infrastructure utilization, and enhance energy efficiency. The method and system of the present disclosures include three core elements: 1) Synthetic Fleet Identification: In some embodiments, a computerized algorithm detects independently owned/operated EVs that congregate at the same locations and times, forming “synthetic fleets.” 2) Automated Indoor Charging Sites: In some embodiments, this includes deployment of climate-controlled, closed-environment indoor charging facilities that provide optimal work environment for vehicle batteries charging and charging equipment performance. 3) Managed Charging: In some embodiments, this includes elimination of EV drivers' participation in the charging process through automation of vehicle movement, charging stall allocation, and power distribution using AI-driven scheduling and control mechanisms to ensure high site efficiency and utilization.