EV Charging Data Chaining for Operational Efficiency

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Solution Overview

Problem

Current electric vehicle and charging station systems lack effective data exchange, relying on minimal information from users or manufacturers, limiting their operational efficiency and potential benefits from shared data.

Innovation Solution

A method and system for chaining data between electric vehicles and charging stations, where vehicles determine and transmit charging profiles, and stations collect and analyze data to perform functions based on shared information, including charging patterns and vehicle types, using communication technologies like Bluetooth or Wi-Fi.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If electric vehicles and charging stations operate based on minimal information from users or manufacturers, then system simplicity is maintained, but operational efficiency and data utilization are limited

Engineering Contradiction:
Improveoperational efficiencyVSAvoiddata exchange system complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The system performs preliminary actions by having electric vehicles determine and transmit their charging profiles to charging stations before actual charging occurs. This allows the charging station to prepare and optimize charging parameters in advance, improving operational efficiency without requiring complex real-time decision-making systems.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent introduces an intermediary data exchange system using communication technologies like Bluetooth or Wi-Fi to facilitate information transfer between vehicles and stations. This intermediary layer enables efficient data utilization while keeping the vehicle and station systems themselves relatively simple, resolving the contradiction between productivity improvement and device complexity.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Reliability

If charging stations collect and analyze data from multiple electric vehicles, then charging patterns and power usage are optimized, but data management complexity increases

Engineering Contradiction:
Improvecharging process optimizationVSAvoiddata collection and management complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The charging station performs self-service by automatically collecting, storing, and analyzing charging data from multiple electric vehicles without requiring external intervention. The system autonomously determines charging profiles and optimizes charging processes based on collected data, improving reliability while managing complexity through automated operations.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system implements feedback mechanisms where charging station data is transmitted back to electric vehicles, enabling them to adjust their charging behavior based on station capabilities and historical performance. This feedback loop optimizes charging processes and power usage while maintaining manageable data complexity through structured information exchange protocols.

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS11584252B2Systems and methods for chaining data between electric vehicles and electric vehicle stations
Publication Date: 2023.02.21 HONDA MOTOR CO LTD
  • US11584252B2 patent drawing
  • US11584252B2 patent drawing
  • US11584252B2 patent drawing

AI summary

Systems and methods for chaining data between electric vehicles and electric vehicle stations are disclosed. In an example, an electric vehicle can share a charging profile with a charging station, and the charging station can share collective charging data with the electric vehicle. The collective charging data can include charging profile data electric vehicles which have previously charged at the charging station. Based on the shared data both the electric vehicle and the charging station can perform one or more functions based on the shared data.