Power battery recession situation analysis method and system based on big data

Abstract

The invention discloses a power battery recession situation analysis method and system based on big data. The method comprises the following steps of acquiring a charging voltage of a sample power storage battery in a charging state and corresponding charging capacity; computing a corresponding capacity increment value according to the charging voltage and the charging capacity corresponding to the charging voltage; drawing an original capacity increment curve according to the charging voltage and the capacity increment value; carrying out smooth processing and curve fitting on the original capacity increment curve in order to obtain a capacity increment curve; obtaining a capacity increment peak-valley value according to a high peak value and a valley value of the capacity increment curve; computing a corresponding health state value of the power storage battery according to the charging capacity; drawing a change curve of the capacity increment peak-valley value along with a batteryhealth state according to the capacity increment peak-valley value and the corresponding health state value; and estimating a real-time health state value of a to-be-detected power storage battery according to the change curve. Through the adoption of the method or the system, real-time online evaluation of the service life of the power storage battery can be achieved.

Description

technical field [0001] The invention relates to the field of power battery life evaluation, in particular to a method and system for analyzing the decline of power batteries based on big data. Background technique [0002] With the widespread use of new energy vehicles, the application of lithium-ion power batteries is also increasing year by year. During the use of lithium-ion power batteries, it is necessary to evaluate the health status of lithium-ion batteries in real time to determine whether lithium-ion batteries need to be replaced, and to evaluate the value of second-hand new energy vehicles and second-hand power batteries. SOH (State Of Health) is usually used to indicate the state of health of lithium-ion batteries. In the industry, SOH is a very important state quantity for evaluating the aging degree of lithium-ion batteries. Conventional methods for estimating SOH generally use the internal resistance method, circuit model method, etc., but usually the internal...

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Problems solved by technology

Conventional methods for estimating SOH generally use the internal resistance method, circuit model method, etc., but usually the internal resistance method has certain equipment requirements and cannot achieve large-scale online testing; the circuit model method has a huge amount of calculation and cannot analyze large-scale batteries. calculate

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