Active safety monitoring and early warning method and system for lithium ion battery energy storage power station

Abstract

The invention relates to an active safety monitoring and early warning method and system for a lithium ion battery energy storage power station, and the method comprises the following steps: simulating a normal charging and discharging process and a fault hidden danger generation process of a battery of the energy storage power station, obtaining operation environment data and data collected by a BMS as characteristic parameters, and building an original sample database; establishing a local decision model of each characteristic parameter based on a BP neural network of an LM algorithm, performing normalization processing on dimensions of each characteristic parameter in an original sample database, obtaining a sample database of the local decision model of each parameter, and training the local decision model of each parameter based on the sample database; fusing the parameter local decision models, establishing an energy storage battery hidden danger comprehensive early warning model based on an LSTM algorithm, and training the model by using a sample database. According to the method, the parameter local decision model of each characteristic quantity is firstly established, and then each local decision model is fused to establish the energy storage power station battery hidden danger comprehensive early warning model, so that the early warning result is more reliable, and the early warning accuracy is improved.

Description

technical field [0001] The invention relates to the technical field of safety monitoring and early warning of electrochemical energy storage power stations, and more specifically relates to an active safety monitoring and early warning method and system for lithium ion battery energy storage power stations. Background technique [0002] With the increasingly prominent energy problems, the number and scale of lithium-ion battery energy storage power stations are increasing; due to the accelerated development of technology and construction scale, the relevant construction standards and management regulations are not perfect, the safety of lithium-ion battery energy storage power stations The problem of prevention and control is also becoming more and more prominent. [0003] At present, the energy storage power station uses a battery management system (BMS, Battery Management System) to monitor the lithium-ion battery body on-line. The BMS realizes the real-time monitoring of ...

AI Technical Summary

Problems solved by technology

However, the BMS only monitors the battery itself. When there is a potential overheating outside the battery, the BMS cannot respond in time. It only takes action when the situation affects the battery accident. At this time, the best time to deal with it has long been missed, which may cause greater damage. losses; traditional fire protection facilities are passive sensing, post-processing, and cannot be monitored online; temperature, humidity, image, and smoke monitoring technologies have defects such as poor sensitivity and easy false alarms, which belong to passive sensing, and cannot provide early warning in the early stages of accidents; There are still insufficient safety monitoring measures for energy storage power stations, and it is impossible to comprehensively analyze the safe operation status of energy storage power stations

Images