Battery Management System Using Historical Charging Data
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Solution Overview
Problem
Rechargeable batteries in mobile information handling systems degrade over time, leading to reduced battery life and increased frequency of charging cycles, resulting in frustration for users as they lose the ability to hold charge effectively, prompting the need for frequent and costly replacements.
Innovation Solution
A system and method for managing rechargeable batteries by analyzing historical charging and discharging data to provide optimized charging cycle recommendations, extending the battery's useful life by adjusting charging times based on collected data to maintain efficient energy usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Duration of action of moving object
If rechargeable batteries are used in mobile information handling systems, then portable power is provided, but battery life is reduced and charging frequency increases due to degradation over time
Solution Approach 1:
The system performs preliminary actions by storing timestamps and charging data before battery degradation becomes critical. It proactively analyzes historical charging patterns and generates recommendations to optimize future charging cycles, preventing further degradation rather than reacting after damage occurs.
Solution Approach 2:
The system implements feedback by continuously monitoring battery charge levels, storing historical charging data, and using this information to generate optimized charging recommendations. The feedback loop analyzes past charging behavior to improve future charging strategies, extending battery life through data-driven optimization.
2Productivity
If frequent charging cycles are performed to maintain battery charge levels, then operational continuity is improved, but battery degradation accelerates and replacement costs increase
Solution Approach 1:
The system applies dynamics by adapting charging recommendations based on dynamically changing battery characteristics. It adjusts charging strategies according to historical data and observed battery behavior, making the charging approach flexible and responsive to the battery's actual state rather than following fixed schedules.
Solution Approach 2:
The system changes parameters by analyzing historical charging data to determine optimal charging intervals and charge levels. It modifies charging parameters (timing, duration, charge depth) based on accumulated data, transforming static charging routines into optimized, data-driven charging cycles that extend battery life while maintaining productivity.
3Use of energy by moving object
If battery charge levels are monitored and optimized through historical data analysis, then charging efficiency is improved, but system complexity increases due to data storage and processing requirements
Solution Approach 1:
The system segments battery management into distinct functional components: timestamp storage, charge level monitoring, data analysis, and recommendation generation. This segmentation allows each component to be optimized independently, managing complexity through modular architecture while maintaining efficient energy usage through specialized processing.
Data Source
AI summary
Rechargeable batteries come in many different shapes and sizes. A rechargeable battery typically contains a group of one or more electrochemical cells. These cells degrade over time and use. Disclosed is a system and method for managing a rechargeable battery based on historical charging data. In one embodiment, the method includes storing a 1st timestamp in memory of a mobile information handling system, wherein the 1st timestamp identifies a time of day in which a 1st cycle for charging a battery started. A 2nd timestamp is also stored in the memory, wherein the 2nd timestamp identifies a time of day in which a 2nd cycle for charging the battery started. Thereafter an integer N based is generated on the 1st and 2nd timestamps, wherein N defines a recommended number of consecutive day(s) for charging the battery.


