Battery Life Cycle Management via Dynamic State Estimation
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Solution Overview
Problem
Conventional battery management systems lack effective methods for optimizing the life cycle of rechargeable batteries, leading to inefficient energy use, premature wear-out, and inadequate reporting of battery operating conditions, which affects the reliability and longevity of battery-powered devices.
Innovation Solution
A battery life cycle management system that receives real-time data, combines it with historical profiles, and estimates the battery's state to manage charging and discharging operations, optimizing power consumption and extending battery life by accurately determining State of Charge (SOC), State of Health (SOH), and State of Life (SOL).
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Duration of action of stationary object
If conventional battery management systems are used, then device functionality is maintained, but battery life is shortened due to inefficient energy use and premature wear-out
Solution Approach 1:
The system continuously monitors battery operating conditions including temperature, voltage, current, and charge/discharge rates. This real-time feedback enables dynamic adjustment of battery management strategies to optimize energy efficiency and extend battery life by preventing operating conditions that lead to premature wear-out
Solution Approach 2:
The system estimates future battery states (State of Charge, State of Health, State of Life) based on current operating conditions and historical data. This preliminary estimation allows proactive management of battery operations to prevent inefficient energy use before it occurs, rather than reacting after damage is done
2Reliability
If conventional battery management systems are used, then basic operation is maintained, but reliability is reduced due to inadequate reporting of battery operating conditions
Solution Approach 1:
The system divides battery monitoring into multiple independent measurement components, each tracking specific parameters (temperature, voltage, current, charge/discharge rates). This segmented approach ensures comprehensive coverage of all critical operating conditions without missing any important information
Solution Approach 2:
The system introduces an intermediary battery management system that acts as a mediator between the battery and the device. This intermediary continuously monitors and reports detailed battery operating conditions, providing reliable information about battery state that would otherwise be lost or inadequate
3Use of energy by moving object
If battery operations are not optimized, then device availability is maintained, but energy efficiency deteriorates leading to frequent recharging
Solution Approach 1:
The system dynamically adjusts battery management strategies based on real-time operating conditions and predicted future states. This dynamic approach optimizes energy efficiency by adapting charge/discharge rates and operational parameters to current battery conditions, preventing inefficient energy consumption patterns
Solution Approach 2:
The system continuously monitors and manages battery operations without interruption, ensuring optimal energy efficiency is maintained throughout the entire battery lifecycle. This continuous management prevents periods of inefficient operation that would lead to premature depletion and frequent recharging
Data Source
AI summary
Method and apparatus for optimized battery life cycle management are described. A battery management system (BMS), comprising a battery, identifies battery-specific factors with associated environmental conditions, and battery history profiles at a current time instant. The BMS measures current, voltage, and/or power of the battery instantaneously. The resulting battery measurements, the battery-specific factors with associated environmental conditions, and the battery history profiles, formed as battery dynamic situations at the current time instant, may be time stamped for estimating an instantaneous battery state of the battery. The time stamped battery dynamic situations may be aggregated for long-term trend analysis for the battery state. The instantaneous battery state estimate is updated by comparing with the long-term trend analysis to manage battery charging or discharging. The battery operating conditions are determined based on the updated battery state estimate. The BMS may manage system power consumptions based on the determined battery conditions.