Method of reconstructing OCV-SOC function relation of power battery system

An OCV-SOC and function relationship technology, which is applied in the direction of measuring electricity, measuring electrical variables, and measuring devices, can solve problems such as divergence, difficulty in controlling static time, and large error in OCV-SOC function relationship

Inactive Publication Date: 2017-12-08
BEIJING INSTITUTE OF TECHNOLOGYGY
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Problems solved by technology

[0002] At present, model-based state estimation algorithms often use the open circuit voltage (OCV)-state of charge (SOC) function relationship to correct the SOC of the battery. Time is difficult to control, too long rest time will easily lead to too long test cycle, and too short rest time will make the battery stand insufficiently, resulting in a large error in the obtained OCV-SOC function relationship
More importantly, for power batteries such as lithium iron phosphate lithium-ion batteries, the OCV-SOC function relationship obtained from the open circuit voltage test has a long voltage plateau. When the SOC value is corrected using the OCV-SOC function relationship, it will lead to State estimation algorithm error increases or even diverges

Method used

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  • Method of reconstructing OCV-SOC function relation of power battery system
  • Method of reconstructing OCV-SOC function relation of power battery system
  • Method of reconstructing OCV-SOC function relation of power battery system

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Embodiment Construction

[0031] The method provided in this application will be further elaborated and explained in detail below in conjunction with the drawings.

[0032] As attached figure 1 As shown, the present invention provides a method for reconstructing the OCV-SOC function relationship of a power battery system, which specifically includes the following steps:

[0033] Step 1. Perform relevant preparations, select the SOC section to be reconstructed according to actual needs, and collect the voltage and current data of the power battery system during the charging and discharging process.

[0034] When selecting the SOC section that needs to be reconstructed, for pure electric vehicles, select the 20%-100% SOC range where the power battery of pure electric vehicles often works. For hybrid vehicles, it needs to be based on the The optimal SOC range of the power battery is selected.

[0035] Step 2. Establish a power battery system model, determine the OCV-SOC function relationship expression and the i...

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Abstract

The invention provides a method of reconstructing the OCV-SOC function relation of a power battery system. The OCV-SOC function relation can be acquired quickly and effectively. Compared with the traditional open-circuit voltage test method, a lot of test time is saved, and the method is suitable for various different power batteries including lithium iron phosphate batteries and is more universal. Moreover, the OCV-SOC function relation correction role can be better ensured, and the robustness of the state estimation algorithm can be improved.

Description

Technical field [0001] The invention relates to the technical field of power battery system management, in particular to the acquisition of the function relationship between the open circuit voltage of the power battery system and the state of charge, battery modeling, and battery state estimation techniques. Background technique [0002] At present, model-based state estimation algorithms often use the open circuit voltage (OCV)-state of charge (SOC) function relationship to modify the SOC of the battery. Although the OCV-SOC function relationship is mostly obtained by the open circuit voltage test, it is still due to the open circuit voltage test. Time is difficult to control, too long static time will easily lead to too long test period, too short static time will make the battery stand insufficiently, which will cause a large error in the obtained OCV-SOC function relationship. More importantly, for power batteries such as lithium iron phosphate batteries, the OCV-SOC functio...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/36
CPCG01R31/388
Inventor 熊瑞陈铖孙逢春何洪文
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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