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Battery SOH prediction method and device

A prediction method and battery technology, applied in electrical digital data processing, special data processing applications, instruments, etc., can solve the problem of inability to quickly and accurately predict the SOH of batteries, and achieve the effect of improving the prediction accuracy.

Pending Publication Date: 2019-12-20
NEUSOFT REACH AUTOMOBILE TECH (SHENYANG) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In view of this, the embodiment of the present application provides a battery SOH prediction method and device to solve the technical problem that the battery SOH cannot be predicted quickly and accurately in the prior art

Method used

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  • Battery SOH prediction method and device
  • Battery SOH prediction method and device
  • Battery SOH prediction method and device

Examples

Experimental program
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no. 1 example

[0049] see figure 1 , which is a schematic flowchart of a battery SOH prediction method provided in this embodiment, the method includes the following steps:

[0050] S101: Obtain a target battery to be predicted.

[0051] In this embodiment, any battery that is used for SOH prediction in this embodiment is defined as a target battery. Moreover, this embodiment does not limit the battery type of the target battery, for example, the target battery may be a lithium-ion battery or a nickel-metal hydride battery or the like.

[0052] S102: Obtain battery performance parameters of the target battery within a preset time period.

[0053] In this embodiment, after the target battery to be predicted is obtained through step S101, the battery performance parameters of the target battery within a preset time period can be further obtained, wherein the preset time period refers to a preset time slice The specific value of the duration can be set according to the actual situation, which ...

no. 2 example

[0069] This embodiment will introduce the specific construction process of the battery SOH prediction model mentioned in the first embodiment. Using the pre-built battery SOH prediction model, the SOH of the target battery can be accurately and quickly predicted.

[0070] see figure 2 , which shows a schematic flow chart of building a battery SOH prediction model provided in this embodiment, and the process includes the following steps:

[0071] S201: Acquire battery performance training parameters.

[0072] In this embodiment, in order to build a battery SOH prediction model, a lot of preparatory work needs to be done in advance. First, battery performance training parameters need to be collected and obtained. For example, 100 battery performance parameters (the performance The parameters may include the temperature rise and average temperature of the battery within each preset time period, the historical mileage and historical usage time of the battery before the preset t...

no. 3 example

[0095] This embodiment will introduce a battery SOH prediction device, and for relevant content, please refer to the foregoing method embodiments.

[0096] see Figure 5 , which is a schematic composition diagram of a battery SOH prediction device provided in this embodiment, the device includes:

[0097] A first acquiring unit 501, configured to acquire a target battery to be predicted;

[0098] The second acquiring unit 502 is configured to acquire battery performance parameters of the target battery within a preset time period;

[0099] The first extraction unit 503 is configured to extract parameter features representing performance information of the target battery from the battery performance parameters;

[0100] The first prediction unit 504 is configured to input the parameter features extracted from the battery performance parameters into a pre-built battery SOH prediction model, so as to predict the SOH of the target battery.

[0101] In an implementation of this ...

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Abstract

The invention discloses a battery SOH prediction method and device, and the method and device can effectively improve the prediction accuracy of a target battery SOH. The method comprises the following steps of: first, acquiring a target battery to be predicted while acquiring battery performance parameters of the target battery in a preset time period; and then, extracting parameter characteristics representing the performance information of the target battery from the obtained battery performance parameters, and further inputting the parameter characteristics extracted from the battery performance parameters into a pre-constructed battery SOH prediction model as input data so as to accurately predict the SOH of the target battery.

Description

technical field [0001] The present application relates to the technical field of batteries, in particular to a battery SOH prediction method and device. Background technique [0002] In recent years, as the energy crisis has become more and more serious, new energy vehicles have become the focus of the future development of the automotive industry due to their excellent energy-saving and environmental protection features. Among them, the power battery, as the power source of new energy vehicles, will gradually decay in capacity during long-term operation. Generally, the battery's Section Of Health (SOH) value is used to characterize the degree of capacity decay. The current research on power battery SOH is an important topic in the field of power battery technology, and the correct prediction of battery SOH is of great help to the practical application of power batteries. [0003] However, when predicting battery SOH at present, it is usually only to obtain the attenuation ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50G06N3/04
CPCG06N3/044G06N3/045
Inventor 郭毅高雁飞王尧峰
Owner NEUSOFT REACH AUTOMOBILE TECH (SHENYANG) CO LTD
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