Battery Condition Evaluation via Discharge Pulse Voltage Response
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Solution Overview
Problem
Existing methods for evaluating the condition of electrochemical batteries, particularly lithium batteries with manganese cathodes, are inefficient and time-consuming, making it difficult to obtain rapid and accurate measurements of battery health, leading to premature replacement and increased costs.
Innovation Solution
A method involving the application of a discharge pulse to the battery, measuring voltage responses, and computing parameters such as voltage reduction and recovery rates to assess battery condition, using a device with connectors, a current sink, and a controller for automated testing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If periodic battery replacement is implemented, then equipment reliability is maintained, but operational costs increase due to premature replacement
Solution Approach 1:
The system performs preliminary assessment of battery condition using impedance spectroscopy and voltage relaxation measurements before actual failure occurs. This allows prediction of remaining useful life and scheduled replacement only when necessary, avoiding both premature replacement and unexpected failures.
Solution Approach 2:
The system continuously monitors battery parameters (impedance, voltage relaxation characteristics) and uses this feedback to dynamically adjust replacement timing. The control system compares measured parameters against degradation models to determine optimal replacement moments, reducing unnecessary replacements while maintaining reliability.
2Measurement precision
If comprehensive battery testing is performed, then measurement accuracy improves, but testing time increases
Solution Approach 1:
The system uses periodic impedance spectroscopy measurements at multiple frequencies followed by voltage relaxation monitoring. This periodic multi-frequency approach captures battery degradation characteristics efficiently without requiring prolonged continuous testing, achieving accurate measurements within constrained time windows.
Solution Approach 2:
The system performs preliminary impedance measurements to quickly assess battery condition and determine if more detailed testing is necessary. This preliminary screening allows the system to skip comprehensive long-duration tests for batteries in good condition while focusing detailed measurements only on suspect batteries.
3Loss of time
If rapid testing methods are used, then testing time decreases, but measurement accuracy deteriorates
Solution Approach 1:
The system applies periodic current pulses at multiple frequencies and monitors voltage relaxation responses. This periodic multi-frequency excitation enables rapid extraction of impedance characteristics and degradation parameters without requiring long measurement periods, maintaining accuracy while reducing test time.
Solution Approach 2:
The system changes measurement parameters (frequency, current pulse amplitude, relaxation time windows) based on preliminary assessments and battery type. By adapting measurement parameters to the specific battery condition and type, the system achieves accurate rapid measurements without using fixed time-consuming protocols.
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
Enables rapid and accurate evaluation of battery condition, reducing unnecessary replacements and optimizing battery lifespan by providing a quick and reliable assessment of battery health across various chemistries.
Implementation Method 1
electrochemical batteries have a very wide range of applications. Such batteries have limited life spans. Over time and with use the condition of a battery is degraded.
Implementation Method 2
measuring a response of the voltage of the battery to the discharge pulse; obtaining at least one parameter relating to a change in the battery voltage resulting from the application of the discharge pulse
Data Source
AI summary
A method for evaluating the conditions a battery comprises applying a discharge pulse to the battery and monitoring a response of the battery to the discharge pulse. In some embodiments a measure of battery condition is based at least in part on at least one of first and second parameters. The first parameter is related to the decrease in battery voltage after the onset of the discharge pulse. The second parameter is related to the recovery of the battery voltage after the discharge pulse. The first and/or second parameters may be supplied as inputs to an evaluation system such as a neural network, a fuzzy logic inference engine or the like.