Battery SOC estimation method based on model fusion idea

Abstract

The invention discloses a battery SOC estimation method based on a model fusion idea. According to the method for estimating the SOC of a battery by using an integrated algorithm for fusing improved support vector regression PSO-SVR, AdaBoost and random forest RF based on a Stacking model fusion thought, firstly, feature expansion and feature screening are carried out on feature engineering of thebattery SOC, in order to reduce an overfitting risk, a data set is processed by using a K-fold cross validation method, then a support vector machine algorithm is improved by using a particle swarm algorithm, and finally, the battery SOC is estimated by using a proposed model fusion method. According to the method, the estimation precision of the SOC of the battery is superior to the estimation precision of three single models of SVR, AdaBoost and RF on the SOC of the battery, the state of charge of the energy storage battery can be accurately estimated, accurate estimation of the SOC of thebattery is a guarantee for efficiently and safely charging and discharging the battery and prolonging the service life of the battery and is the premise of fault diagnosis and is an important guarantee for stable, safe and efficient operation of a power system and is one of necessary ways for accelerating promotion of an intelligent power grid.

Description

technical field [0001] The invention belongs to the field of battery state of charge estimation and relates to a method for estimating battery SOC based on the idea of ​​model fusion. Background technique [0002] Due to environmental problems and energy shortages in recent years, people have found new energy sources such as photovoltaics and wind turbines to replace traditional fossil energy in the past. Huge problems will have a huge impact on the power grid, and serious ones may lead to the paralysis of the power grid, but energy storage can solve a series of problems caused by grid connection. Batteries are a technology of energy storage, but batteries are strong Linear characteristics, which have brought many problems to scientific research, for example, accurate estimation of battery SOC value, accurate estimation of battery SOC is the guarantee for efficient and safe battery charging and discharging, prolonging battery life, and is the premise of fault diagnosis. It ...

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Problems solved by technology

[0005] The purpose of the present invention is to solve the problem that the estimation accuracy of the current battery SOC is not high, and to provide an integration based on the Stacking method to fuse the three models of improved support vector regression (PSO-SVR), AdaBoost, and random forest (RF) Method of Algorithm Estimating Battery SOC

This method takes into account the influence of voltage, current, ambient temperature and extended features (output power) on SOC, and integrates the advantages of the three algorithms. This method effectively solves the problem of low SOC estimation accuracy and improves The estimation accuracy of SOC can be applied in actual engineering

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