Double-e-index-model-based lithium battery capacity prediction method for random charging and discharging conditions
A battery capacity and prediction method technology, applied in the direction of measuring electrical variables, measuring electricity, measuring devices, etc., can solve problems such as limitations and no longer applicable
Active Publication Date: 2020-01-07
BEIHANG UNIV
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Therefore, the models and methods proposed based on the battery experiment of cycling the same load are greatly limited in practical application, and some are even no longer applicable.
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[0033] The present invention will be further described below in conjunction with the accompanying drawings and specific implementation methods.
[0034] Such as figure 1 As shown, a random charging and discharging battery capacity prediction method based on the double-e exponential model includes the following steps:
[0035] S1. Collect the terminal voltage and current data during random charging and discharging of the battery, calculate the battery capacity and perform noise reduction processing. In this embodiment, the random charge and discharge data of No. RW3 lithium iron phosphate battery provided by NASA Ames Research Center is used as the data source. In this experiment, the battery is charged to 4.2V, and then use a random discharge current sequence between 0.5A-4A to discharge it to 3.2V as a random discharge cycle and run continuously, collecting battery voltage and current data every 10 seconds, every 50 random discharge cycles A standard charge and discharge to...
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The invention discloses a double-e-index-model-based lithium battery capacity prediction method for random charging and discharging conditions. The method comprises the following steps: step one, carrying out data acquisition and noise reduction processing on a terminal voltage, a current and a capacity in a continuous charging and discharging process of a battery; step two, calculating equivalentcumulative transfer energy between the battery and equipment according to the collected voltage and current data, and drawing a degradation curve of the battery capacity with the equivalent cumulative transfer energy; step three, carrying out fitting on the degradation curve of the battery capacity with the equivalent cumulative transfer energy by using a double-e index model and acquiring parameters of the double-e index model based on a maximum likelihood estimation method; and step four, substituting the equivalent cumulative transfer energy value into the model based on the double-e indexmodel obtained by fitting in the step three and predicting a future battery capacity. The double-e-index-model-based lithium battery capacity prediction method is suitable for predicting the lithiumbattery capacity attenuation under random charging and discharging conditions. The method is simple and feasible with the high prediction precision and has the great practical application value.
Description
[0001] Technical field [0002] The invention relates to a method for predicting capacity attenuation of random charging and discharging batteries based on a double-e exponential model. Background technique [0003] In terms of battery capacity prediction, it can be roughly divided into three categories: physical model method, empirical model method and data-driven method. [0004] The growth of thin films at the solid electrolyte interface is widely recognized as the main cause of active material loss and health deterioration. The empirical model method uses an equivalent device model to characterize the dynamic characteristics of the battery, and various observers are used to estimate the equivalent device model parameters. The data-driven method focuses on studying experimental data to explore the relationship between the internal state of the battery and working or environmental conditions, and uses a variety of prediction methods to estimate battery capacity, including s...
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IPC IPC(8): G01R31/367G01R31/387
CPCG01R31/367G01R31/387
Inventor 钱诚徐炳辉任羿孙博冯强杨德真王自力
Owner BEIHANG UNIV