Lithium battery life estimation method based on IMM-UPF

A technology of IMM-UPF and lithium battery, which is applied in the direction of measuring electricity, measuring electrical variables, measuring devices, etc. It can solve the problems that it is difficult to establish an analysis model, and it is impossible to describe the changing trend of lithium batteries well.

Inactive Publication Date: 2019-06-25
HEFEI UNIV OF TECH
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Problems solved by technology

However, for complex dynamic systems, especially those with uncertain noise, it is difficult to establish accurate analytical models
The method based on data modeling can capture the internal relationship in the data and learn the trend of change in the data, without the need for specific knowledge of material properties, structure, failure mechanism, etc., avoiding the development of overly complex physical models, commonly used A single empirical model may achieve good prediction results at different stages, but it cannot describe the changing trend of the entire life cycle of lithium batteries well

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  • Lithium battery life estimation method based on IMM-UPF
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  • Lithium battery life estimation method based on IMM-UPF

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Embodiment Construction

[0124] A lithium battery life estimation method based on IMM-UPF, the specific steps are as follows:

[0125] (1) First use four batteries of the same type to charge with a constant 1.1A current until the voltage reaches the charging cut-off voltage of 4.2 volts, then charge at a constant voltage of 4.2 volts until the charging current drops below the cut-off current of 0.05A, and then end the charging; The rated capacity of the battery is 1.1Ah. Carry out charge and discharge experiments at room temperature, record the discharge capacity after each complete charge and discharge process, obtain the battery capacity decay curve, and set the failure threshold of the battery to 0.88Ah; figure 1 shown.

[0126] (2) Four sets of battery capacity data were collected by carrying out charge and discharge experiments on the four batteries described. By observing the decay curve, it was found that the fourth set of data had a large gap with the first three sets. Therefore, the first th...

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Abstract

The invention discloses a lithium battery life estimation method based on IMM-UPF. The method uses a new fusion model interactive multi-model for fusion calculation of different attenuation models. Inconsideration that Kalman filtering may cause a large error because of the non-Gaussian and nonlinear attenuation trend of the lithium battery, the method filters each model by using unscented particle filtering, thereby on the one hand solving the lack of particles in particle filtering during resampling, and on the other hand, achieving a more accurate prediction result than the Kalman filtering. The provided IMM-UPF method is verified by the comparison of simulation results and experimental data. The results show that the method can improve the accuracy of lithium battery life prediction.

Description

technical field [0001] The invention relates to the technical field of lithium batteries, in particular to an IMM-UPF-based lithium battery life estimation method. Background technique [0002] With the rapid development of electric vehicles, lithium batteries have attracted much attention as their mainstream power source. State of health (SOH) is one of the key parameters of lithium batteries, and it is a direct parameter for users to evaluate the current battery life. [0003] At present, the life prediction of lithium batteries mainly adopts the methods based on physical principle modeling and data modeling to predict the capacity decay of lithium batteries. However, it is difficult to establish accurate analytical models for complex dynamic systems, especially those with uncertain noise. The method based on data modeling can capture the internal relationship in the data and learn the trend of change in the data, without the need for specific knowledge of material prope...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/367G01R31/392
Inventor 刘新天邓旭晖彭泳何耀张恒曾国建郑昕昕
Owner HEFEI UNIV OF TECH
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