Battery Tracking System Using Distributed Ledger for End-of-Life Prediction

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

The underutilization of battery potential due to inefficiencies in monitoring, usage, and end-of-life prediction of primary life batteries leads to premature disposal and environmental hazards, while the secondary market for second life batteries is hindered by unreliable battery information and inefficient selection processes.

Innovation Solution

A power cell tracking and optimization system that monitors and analyzes battery data using a distributed ledger technology to determine approximate battery end-of-life (ABEL) and provide recommendations for maximizing battery life, enabling accurate second-life repurposing and reducing waste by optimizing battery usage and performance.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of substance

If batteries are disposed of when they reach 80% capacity (end of primary life), then manufacturing costs and environmental hazards are reduced, but battery resource utilization is wasted and second-life market potential is lost

Engineering Contradiction:
Improvebattery resource utilizationVSAvoidend-of-life prediction accuracy
Core Design Contradiction:
Loss of substanceVSReliability

Solution Approach 1:

The system performs preliminary monitoring and tracking of battery data throughout the primary life cycle, establishing a comprehensive data foundation before the battery reaches end-of-life. This preliminary action enables accurate prediction of actual end-of-life points and facilitates seamless transition to second-life applications, preventing premature disposal while ensuring reliability through data-driven decisions

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system implements continuous feedback loops that monitor battery performance metrics, compare them against degradation models, and update end-of-life predictions in real-time. This feedback mechanism ensures accurate determination of when batteries should transition from primary to second life, optimizing resource utilization while maintaining reliability through ongoing validation

Inventive Principle:
Principle #23Feedback

2Productivity

If comprehensive battery monitoring and tracking systems are implemented, then battery life optimization and waste reduction are improved, but system complexity and implementation costs increase

Engineering Contradiction:
Improvebattery life optimizationVSAvoidmonitoring system complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The system is designed as a multi-functional platform that simultaneously performs data collection, analysis, prediction, optimization recommendation, and transaction facilitation. By consolidating these functions into a single universal system rather than separate components, the solution achieves comprehensive battery life optimization while managing complexity through integrated architecture

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

Solution Approach 2:

The system enables batteries to effectively monitor and report their own health status and performance metrics through embedded sensors and communication interfaces. This self-service capability reduces the complexity of external monitoring infrastructure while achieving comprehensive tracking and optimization goals

Inventive Principle:
Principle #25Self-service

3Measurement precision

If second-life batteries are selected without reliable information systems, then transaction speed is improved, but selection accuracy and market reliability deteriorate

Engineering Contradiction:
Improvebattery selection accuracyVSAvoidselection process time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The system performs preliminary classification, grading, and verification of battery data before transactions occur. By pre-processing and organizing battery information including performance history, degradation patterns, and suitability assessments, the system enables rapid and accurate second-life battery selection without compromising precision during the actual transaction process

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS20230242009A1Power cell tracking and optimization system
Publication Date: 2023.08.03 BATTERYCHECK SRO
  • US20230242009A1 patent drawing
  • US20230242009A1 patent drawing
  • US20230242009A1 patent drawing

AI summary

A computing system can receive and compile power cell data, and in certain examples, the power cell data can be distributed to a distributed ledger. The computing system can further determine approximate battery end of life (ABEL) for each power cell based on a compiled historical record of power cell data. Based on the determined ABEL, the computing system can generate ABEL reports for users, determine optimal settings for a power cell or battery-powered device, and/or transmit notifications to users, to facilitate power cell usage optimization, and/or optimal repurposing or recycling timing.