Lithium ion battery remaining useful life prediction method

A lithium-ion battery and life prediction technology, which is applied in the direction of measuring electricity, measuring devices, measuring electrical variables, etc., can solve the problems of low prediction accuracy and long prediction cycle, and achieve the effect of meeting prediction needs and reducing calculation pressure
CN109633474AActive Publication Date: 2019-04-16JIANGSU UNIV
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Patent Information

Authority / Receiving Office
CN ยท China
Current Assignee / Owner
JIANGSU UNIV
Publication Date
2019-04-16

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Abstract

The invention discloses a lithium ion battery remaining useful life prediction method. The method comprises the following steps that state parameter change data of a battery model is obtained by applying a particle filtering algorithm, the data are imported into an exponential smoothing prediction model (ES) so as to obtain a state parameter prediction value, then the state parameter prediction value is brought into an observation equation to obtain a capacity observation prediction value, and finally, the observation prediction value is fed back to the particle filter to predict the remaininguseful life (RUL) of a battery. According to the method, the ES-PF prediction model can solve the problem that state parameters cannot be updated in the prediction state by adopting the particle filtering algorithm, so that the prediction error is increased along with the change of the prediction period, and the prediction precision of the particle filtering algorithm is effectively improved.
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Description

technical field

[0001] The invention belongs to the technical field of lithium-ion batteries, and more specifically relates to a method for predicting the remaining life of lithium-ion batteries. Background technique

[0002] Due to the advantages of high energy density, low self-discharge rate, no memory effect, and long cycle life, lithium-ion batteries are widely used in consumer electronics, electric vehicles and even aerospace as one of the most promising power sources. With the continuous charge and discharge cycle, the performance degradation of the battery, that is, aging, is inevitable. The deterioration of batteries can lead to performance degradation, financial loss, and even accidents. Therefore, it is very necessary to find an accurate and reliable battery remaining life prediction method to monitor battery decay and evaluate its reliability.

[0003] The remaining battery life (RUL) prediction is to predict how many cycles / times will elapse from the current c...

Claims

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