Lead-Acid Battery State of Charge Estimation via Predictive Modeling
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for managing lead-acid batteries in standby mode are energetically expensive and reduce battery life, and accurately determining the state of charge is challenging, especially for sealed batteries where internal components are inaccessible.
Innovation Solution
A predictive model governed by differential equations estimates the state of charge of lead-acid batteries by determining the evolution of electric potential and density of the electrolyte, allowing for maintenance charging only when necessary and optimizing temperature regulation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the battery is maintained in a fully charged state through continuous voltage-controlled overcharge, then the battery remains ready for power outages, but energy consumption increases and battery life is reduced
Solution Approach 1:
The patent applies preliminary action by using predictive modeling to forecast the battery's state of charge at future time points, allowing maintenance charging to be scheduled only when necessary based on predicted depletion, rather than continuously charging to maintain readiness
Solution Approach 2:
The patent implements feedback by continuously monitoring actual battery parameters (voltage, temperature, density) and using this information to validate and refine the predictive model, enabling dynamic adjustment of charging schedules based on actual battery behavior
2Reliability
If the battery is maintained in a fully charged state through continuous voltage-controlled overcharge, then the battery remains ready for power outages, but battery life is reduced
Solution Approach 1:
The patent applies preliminary action by using predictive modeling to forecast the battery's state of charge at future time points, allowing maintenance charging to be scheduled only when necessary based on predicted depletion, rather than continuously charging to maintain readiness
Solution Approach 2:
The patent transitions from continuous charging to periodic charging by calculating optimal charging intervals based on the predictive model's forecast of when the battery will deplete to critical levels, charging only at these predicted moments rather than continuously
3Ease of operation
If simple voltage measurement between battery terminals is used, then the measurement is easy to perform, but the state of charge cannot be accurately determined
Solution Approach 1:
The patent introduces an intermediary predictive model that processes multiple battery parameters (voltage, temperature, density) and time information to calculate the state of charge, serving as a mediator between simple measurements and accurate state determination
Solution Approach 2:
The patent replaces direct mechanical/electrical measurement of electrode potentials with a computational model that uses easily measurable parameters (terminal voltage, temperature, density) and mathematical relationships to infer the state of charge
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The method accurately estimates the state of charge, reducing unnecessary maintenance charging and extending battery life, while enabling better temperature control and anticipation of recharging needs.
Implementation Method 1
determining the evolution of the electric potential of each electrode, and optionally the density of the electrolyte
Implementation Method 2
Self-discharge can be expressed by the following reaction at the negative electrode and the following reaction at the positive electrode
Implementation Method 3
self-discharge, which is the cause of battery wear
Implementation Method 4
the self-discharge of a battery is accelerated by thermal agitation
Data Source
Figure 1a~1b
Figure 2~3a
Figure 3b~4
AI summary
Method for estimating the state of charge of a lead-acid battery in a self-discharge situation. Method for estimating the state of charge of an electrically rechargeable lead-acid battery at rest, the battery comprising at least one electrochemical cell comprising an acid electrolyte, at least one negative lead electrode and at least one positive lead dioxide electrode immersed in the electrolyte, the method comprising the implementation of a predictive model governed by at least several differential equations to estimate the state of charge.