Battery Aging Determination via High Precision Coulometry
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Solution Overview
Problem
Existing methods for determining the aging progression of lithium-ion batteries are time-consuming, inaccurate, and fail to accurately predict the state of health due to complex non-linear physical and chemical processes.
Innovation Solution
A high-precision coulometry (HPC) method is employed to measure the aging of battery storage units by specifying a sequence of load patterns with defined depth of discharge, state of charge, current intensities, pause times, and temperatures, allowing for the measurement of capacity losses and residual capacity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If conventional RAFF tests with compressed load profiles are used to determine aging rate, then the testing process is simplified, but the accuracy of aging prediction deteriorates
Solution Approach 1:
The patent changes the testing parameters from compressed load profiles to realistic load profiles that include variable current intensities, depth of discharge, state of charge, and temperature conditions. This allows the battery to undergo aging under actual operating conditions, thereby improving prediction accuracy while maintaining test feasibility through automated monitoring systems.
2Device complexity
If empirical aging models are parameterized using conventional test results, then the modeling process is simplified, but the time required for parameterization increases
Solution Approach 1:
The system automatically monitors and records battery parameters during aging tests, including capacity, internal resistance, temperature, and voltage. The data is automatically processed to extract aging kinetics parameters, eliminating the need for manual analysis and significantly reducing parameterization time while maintaining model accuracy.
3Reliability
If battery storage units are dimensioned larger to ensure sufficient power, then reliability and warranty commitments are met, but the cost and size of the system increases
Solution Approach 1:
The patent implements continuous monitoring of battery aging parameters during and after cycling tests. The collected data provides feedback on actual aging behavior under realistic conditions, enabling more accurate predictions of battery lifetime and performance. This feedback allows for optimized battery sizing that ensures reliability without over-designing the system.
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 method enables the efficient and accurate determination of battery aging, allowing for realistic simulation of intended use and providing insights into both cyclic and calendar aging, thereby improving the assessment of battery health and longevity.
Implementation Method 1
a high-precision coulometry (HPC) method is employed to measure the aging of battery storage units
Data Source
AI summary
A method for measuring the ageing of a battery storage device by a High Precision Coulometry method, in which the ageing behaviour of an energy storage device can be determined with little expenditure of time. According to the disclosed, this problem is solved by specifying a sequence of several loading patterns, wherein each loading pattern comprises a plurality of discharging and charging procedures, each with a defined depth of discharge, characteristic average states of charge, current strengths, pause times and/or temperatures, and a) performing the sequence of the plurality of loading patterns, wherein the capacity losses caused by the discharging and charging procedures are measured, and b) determining the residual capacity of the battery storage device, wherein steps a) to b) are repeated until the residual capacity reaches a predetermined limit value.