A method and system for intelligent tracking SOC correction of multiple interference grids

Abstract

The present invention relates to a method and system for SOC correction of multi-interference grid intelligent tracking. The correction method includes the following steps: S1. Obtaining various interference factors affecting battery SOC, and determining the gradient of each interference factor according to each interference factor; S2, A preset method is used to charge and discharge the battery under each interference factor, and the battery is charged and discharged according to the gradient corresponding to each interference factor, and the charge and discharge data of the battery under each interference factor are recorded; S3. Make corrections according to the recorded charge and discharge data. curve; S4, correct the SOC of the battery according to the prepared correction curve. Implementing the invention can realize automatic correction of battery SOC, eliminate the influence of temperature, current, battery internal resistance and battery aging times on SOC estimation accuracy, and is suitable for various batteries and has good versatility.

Description

technical field [0001] The present invention relates to the field of battery technology, and more specifically, to a method and system for intelligent tracking SOC correction of multiple interference grids. Background technique [0002] In the battery field, it is generally necessary to predict and estimate the SOC of the battery. Currently, the methods commonly used in the market include the ampere-hour method, the open-circuit voltage method, and the internal resistance method. However, these methods do not take into account various influences on the estimation of SOC. The accuracy of SOC estimation under the cross-interference of factors, and the difficulty and complexity of the algorithm used are relatively high, for example, the technical difficulty of the Calman filter algorithm, neural network and fuzzy reasoning algorithm is too complicated, and the technical ability of the technicians is too high. , it is difficult to be widely used in practical applications, result...

AI Technical Summary

Problems solved by technology

[0002] In the battery field, it is generally necessary to predict and estimate the SOC of the battery. Currently, the methods commonly used in the market include the ampere-hour method, the open-circuit voltage method, and the internal resistance method. However, these methods do not take into account various influences on the estimation of SOC. The accuracy of SOC estimation under the cross-interference of factors, and the difficulty and complexity of the algorithm used are relatively high, for example, the technical difficulty of the Calman filter algorithm, neural network and fuzzy reasoning algorithm is too complicated, and the technical ability of the technicians is too high. , it is difficult to be widely used in practical applications, resulting in low SOC estimation accuracy, reducing product performance and competitiveness

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