Battery Health Monitoring via Electrochemical Impedance Spectroscopy
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Solution Overview
Problem
Batteries degrade over charging and discharging cycles due to oxidized particles adhering to the anode and cathode, reducing surface area, electrolyte volume, and increasing internal resistance, leading to reduced power storage capacity, voltage output, and increased self-discharge rates, thereby shortening their useful life.
Innovation Solution
The implementation of electrochemical impedance spectroscopy (EIS) analysis to monitor battery health by applying test waveforms and measuring responses, correlating results with historical data to identify degradation patterns and provide user recommendations through a graphical user interface, and using energy storage devices to cancel ripple currents during testing, allowing for higher frequency testing and improved battery management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Power
If batteries undergo charging and discharging cycles, then power storage capacity and voltage output are improved, but battery degradation occurs due to oxidized particles adhering to electrodes, reducing surface area, electrolyte volume, and increasing internal resistance
Solution Approach 1:
The system performs preliminary diagnostic actions by continuously monitoring battery parameters (voltage, current, temperature, impedance) during charging and discharging cycles. This early detection of degradation patterns allows for proactive battery management before significant capacity loss occurs, resolving the contradiction by maintaining reliability while enabling power cycling.
Solution Approach 2:
The patent implements feedback mechanisms where battery performance data from charging/discharging cycles is continuously analyzed and fed back to adjust charging parameters, discharge rates, and maintenance schedules. This closed-loop control optimizes power utilization while mitigating degradation effects, allowing the system to maintain both high power output and extended battery life.
2Measurement precision
If EIS testing is performed to diagnose battery degradation, then measurement precision of battery health is improved, but testing complexity and time requirements increase
Solution Approach 1:
The system merges EIS testing with routine charging and discharging operations, combining diagnostic measurements with normal battery usage. By integrating impedance spectroscopy measurements into existing charge/discharge cycles rather than requiring separate testing procedures, the system achieves high measurement precision without significantly increasing operational complexity or user burden.
Solution Approach 2:
The patent enables continuous battery monitoring by performing EIS measurements during ongoing charging and discharging activities. This approach maintains the useful action of power storage and delivery while simultaneously gathering diagnostic data, eliminating the need to stop battery operations for testing and reducing overall system complexity.
3Measurement precision
If higher frequency EIS testing is implemented to improve diagnostic accuracy, then measurement precision increases, but ripple currents increase requiring additional energy storage devices
Solution Approach 1:
The system introduces energy storage devices (capacitors or auxiliary batteries) as intermediaries to buffer and filter ripple currents generated during high-frequency EIS testing. These intermediary components absorb the high-frequency fluctuations and smooth the current flow, enabling accurate impedance measurements without excessive energy loss or thermal effects from ripple currents.
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
This approach enhances battery longevity and performance by accurately diagnosing degradation, optimizing charging and discharging, and extending the battery's useful life through proactive management and user recommendations.
Implementation Method 1
The systems, methods, and devices of the various embodiments enable improved battery longevity and performance based on analysis of electrochemical impedance spectroscopy ('EIS') performed on a battery
Implementation Method 2
using energy storage devices to cancel ripple currents during testing, allowing for higher frequency testing and improved battery management
Data Source
AI summary
Electrochemical impedance spectroscopy (EIS) may include testing various voltages and currents, storing and sending the data to an electrochemical impedance spectroscopy analyzer (EISA) network, where the data may be compared to historical data to determine a battery event as a user action recommendation may provide preferred operating use of a device battery in response correlation of EIS test results and comparison for similarities of EIS test results. Historical EIS test data may be stored in an EISA network with a server configured to receive EIS test results from battery-operated devices, correlate received EIS test data to historical EIS test data, and provide recommendations on battery use and/or maintenance to the battery-operated device based on the correlation results. Analyzing EIS test data and sending recommendations on battery use and/or maintenance service may be provided on a subscription basis.