Power management system and state estimation method based on mining lithium ion batteries

Abstract

Disclosed are a power management system and a state estimation method based on mining lithium ion batteries. The power management system based on a mining lithium ion battery set composed of a plurality of single lithium batteries comprises a master control unit, a single-bus temperature acquisition unit, a power management unit, a current acquisition unit, a control unit and a data transmission unit; the system allows overvoltage-undervoltage protection, overcurrent protection, overtemperature protection, charge balance management, capacity self-check and real-time uploading and correction of running parameters. The state estimation method based on a Gaussian process inference learning method is characterized in that sparse Gaussian process and Gaussian process are processed by a hypothesis density filter, strategy noise, system noise and model uncertainty are considered, filtering and prediction operating are performed at computation cost by means of the analytical method, and a non-stationary dynamic system is easy to model. Applicative effects show that the power management system and a state estimation model have the effect of ensuring operational security and efficiency of mining batteries, and energy utilization rate of the batteries is maximized.

Description

technical field [0001] The invention relates to a power management system and a state estimation method, in particular to a power management system and a state estimation method based on lithium-ion batteries for mining. Background technique [0002] With the development of the coal industry and the advancement of mine equipment technology, coal mine equipment such as monitoring and communication systems, emergency avoidance facilities, and underground auxiliary transportation equipment have higher and higher requirements for energy storage power supplies, especially in catastrophic environments. For external power supply, relying on battery-powered backup power has become the first choice. Lithium-ion batteries have become the first choice for mining batteries due to their small size, high energy, large output current, high efficiency, high safety and reliability, and no pollution. [0003] At present, power management is performed on the mining power supply composed of mu...

AI Technical Summary

Problems solved by technology

Although the Kalman filtering method has a clear analytical form, the method is only applicable to linear state space modeling

The nonlinear state space modeling method based on particle filter needs to pay a lot of money, and the performance of the algorithm is affected by factors such as the number of particles and particle degradation.

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