A method for deducing the operation situation of energy storage device based on lstm

Abstract

The invention discloses a method for deriving the operation situation of an energy storage device based on LSTM. The technical scheme adopted by the present invention includes: identifying model parameters according to historical operation data; establishing the Thevenin equivalent circuit model of the energy storage battery; estimating the SOC and SOH of the energy storage device according to the identification parameters and historical operation data; establishing a thermal model of the energy storage battery; Identify the model parameters and estimate the core temperature of the battery; according to the historical operating data and the operating state of the energy storage device, use LSTM to predict the changes of the voltage and current of the energy storage device, so as to construct the voltage consistency index of the energy storage battery pack; Based on the SOC, SOH and core temperature of the energy storage device, the SOC consistency index of the energy storage battery pack is constructed, so as to deduce the operation situation of the energy storage device. The invention deduces the operation state of the energy storage device through the operation data that is easy to measure by voltage, current and ambient temperature, and avoids the large prediction error when using LSTM to predict multiple operation states such as SOC and SOH at present.

Description

technical field [0001] The invention belongs to the technical field of deduction of the operation state of an energy storage device, and relates to a method for deduction of the operation state of an energy storage device based on LSTM integrating historical operation data and online real-time data. Background technique [0002] At present, the main body of energy consumption in the world is still fossil energy, of which non-renewable energy is still the main energy consumed in production and life in all countries in the world. This problem is still unavoidable in the development of all countries in the world. From a long-term perspective, these traditional fossil energy reserves are already in jeopardy due to the development needs and over-exploitation of various countries, and will eventually be exhausted. In response to the challenges brought about by the energy crisis, countries around the world have adopted a variety of measures to address the impact of the depletion of...

AI Technical Summary

Problems solved by technology

At present, the prediction of the operating status of energy storage equipment in China is mainly focused on the prediction of single operating status such as SOC, SOH, and RUL in a specific mode or application scenario, and does not predict the overall operating status of the energy storage device.

Due to the strong correlation between the various operating state variables, if the overall operating state of the energy storage device is not predicted, it will not be conducive to judging the trend of the overall operating state of the energy storage device

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