Aging early warning method, system, vehicle and computer storage medium based on lithium-ion battery capacity diving point

Abstract

The present invention provides an aging warning method, system, vehicle and computer storage medium based on the lithium-ion battery capacity diving point, including S1: acquiring lithium-ion battery monomer operating data in real time, performing data processing, and obtaining charge / discharge segments; S2: Extract similar segments during charging / discharging, and calculate the similarity feature F of the running segment; S3: Establish a gray model, use the segment similarity feature F to input the model, and predict the trend of the characteristic curve; S4: Calculate the residual of the predicted data and the real data Difference e, calculate the residual error test score according to the residual variance, mean value, and maximum value; S5: Determine the baseline according to the data value calculated in step S4, and judge whether the battery capacity is diving by running the actual trend of the segment similarity feature and the baseline. The invention can issue a serious aging warning of the battery in advance, and effectively avoid safety accidents of the lithium-ion battery.

Description

technical field [0001] The invention relates to lithium ion battery technology, in particular to the capacity aging technology of lithium ion battery for electric vehicles. Background technique [0002] With the development of new energy technology and the promotion of scientific and technological changes, lithium-ion batteries are more and more widely used due to their high energy density and long service life, but they have also caused a large number of safety accidents, which also makes lithium-ion batteries safe. Sexual security becomes paramount. [0003] Lithium-ion batteries mainly face two types of safety hazards during use: 1) physical collisions; 2) battery aging and failure. Because the damage caused by physical collisions to lithium-ion batteries is relatively easy to observe, manufacturers generally design corresponding boxes to protect lithium-ion batteries. There are relatively many safety accidents caused by failures. The battery management system (BMS) pr...

AI Technical Summary

Problems solved by technology

The problem with this method is that it is necessary to obtain the internal resistance of the new battery

This method needs to obtain capacity degradation curve data, but in the actual use of electric vehicles, due to the uncertainty of sensor acquisition accuracy and charge-discharge SOC interval, the capacity degradation curve is not easy to establish accurately; in addition, this method needs to be identified according to the slope of the capacity degradation curve Curve shape, the capacity degradation curve runs in a full cycle. Based on the identification of the curve shape, it is possible to judge whether the battery has capacity diving, but it is impossible to judge when it happened, and it is difficult to carry out real-time early warning.

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