A method and device for real-time online prediction of ocv-soc curve

Abstract

The present invention provides an OCV-SOC curve real-time online prediction method. The method includes the following steps that: the OCV-SOC curve of a battery when a certain influence factor is constant and the other influence factors are variable is obtained, and the obtained curve is adopted as a reference OCV-SOC curve, an influence factor value in the curve is set to a reference influence factor value; all influence factor values under the current state of the battery are obtained; and the reference OCV-SOC curve is fitted through a nonlinear algorithm under corresponding influence factors according to the obtained current influence factor values, so that the SOC value of the battery under the current state can be obtained, With the OCV-SOC curve real-time online prediction method adopted, similarity between a predicted OCV-SOC curve and an actually tested OCV-SOC curve can be improved.

Description

technical field [0001] The invention relates to the field of electronic technology, in particular to a method and device for real-time online prediction of OCV-SOC curves. Background technique [0002] With the development of electronic information technology, portable terminals such as mobile phones and notebooks appear in large numbers, and electric vehicles are also gradually popularized. People need to monitor the battery power of the terminal and the battery power of the electric vehicle in order to manage the power supply reasonably. [0003] Battery management is the heart of electric vehicles and energy storage systems, and battery state-of-charge estimation (SOC) is the top priority of battery management systems. In practical applications, the domestic mainstream SOC estimation methods are mostly simple and effective open circuit voltage method and ampere-hour integration method. The open circuit voltage method uses the correspondence between the open circuit volt...

AI Technical Summary

Problems solved by technology

This patent corrects the SOC through the setting of feature points, and obtains the corrected OCV-SOC curve, but it still needs to be based on the existing OCV-SOC curve; another example is the patent CN20150997073, which proposes to preset OCV-SOC data based on actual test data relationship, based on the preset data relationship, gradually establish the data relationship between the current impact factor value and the remaining power of the electric vehicle battery, and then obtain the current remaining power. This patent proposes a method for quickly and conveniently obtaining OCV-SOC, but This patent uses a linear fitting method to obtain a new OCV-SOC curve, which greatly reduces the accuracy of SOC estimation

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