Method for estimating power battery capacity and charge state based on data model fusion

Abstract

The invention relates to the field of estimating power battery parameters and states, in particular to a method for estimating the power battery capacity and charge state based on data model fusion. In order to improve the estimation precision of the power battery charge state of an electric vehicle, the invention provides the method for estimating the power battery capacity and charge state based on the data model fusion, and the method comprises the steps of carrying out an aging experiment for a power battery, obtaining a three-dimensional response surface relation formed by the open-circuit voltage, charge state and available capacity of the power battery at different aging degrees, establishing an equivalent circuit model for the power battery, inputting the actual measurement end voltage and charge and discharge currents of the power battery into a model equation of the power battery, identifying model parameters of the equivalent circuit model of the power battery and the maximum available capacity and a charge state initial value of the power battery, and estimating the charge state of the power battery. The method of the invention can be used for estimating the capacity and charge state of the power battery at different aging degrees, and is high in practicality and estimation precision.

Description

technical field [0001] The invention relates to the field of estimation of power battery parameters and states, in particular to a method for estimating the capacity and state of charge of an on-board power battery of an electric vehicle based on data model fusion. Background technique [0002] New energy vehicles, mainly electric vehicles, are one of my country's strategic emerging industries and one of the key areas of "Made in China 2025". The power battery is the core component of the electric vehicle. Therefore, the estimation accuracy of the parameters and state of the power battery directly affects the safety and reliability of the electric vehicle application. [0003] In recent years, the estimation of the state of charge (SOC) of a power battery has been a research hotspot in both academia and industry, and some achievements have been made. However, at present, when estimating the state of charge SOC of the power battery, the determined maximum available capacity ...

AI Technical Summary

Problems solved by technology

However, at present, when estimating the state of charge SOC of the power battery, the determined maximum available capacity is mostly used to estimate the state of charge of the power battery, and in actual use, the maximum available capacity of the power battery will change with the The aging of the power battery gradually degrades. Therefore, it is difficult to guarantee the rationality and reliability of the estimated result by using the determined maximum available capacity to estimate the SOC of the power battery, and it is easy to cause inaccurate SOC estimation due to Overcharge, overdischarge and abuse of power batteries, and even safety failures

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