Management system and method of battery

Abstract

The invention discloses a management system of a battery. The management system of the battery comprises a data acquisition device and an intelligent processing device, wherein the data acquisition device acquires real-time state parameters of the battery; and the intelligent processing device is positioned at a terminal, at least estimates SOC (state of charge) value and/or SOH (state of health)value of the battery according to the real-time state parameters and transmits the estimation value to a cloud platform. The invention also discloses a management system of the battery. An artificialintelligent model with relatively high precision is obtained by estimating the SOC and the SOH of the battery at the terminal, analyzing the estimation values by the cloud platform and training a neural network model, and the precision of the terminal model is improved by the training result, so that the use safety of the power battery can be greatly improved, warning is conducted in advance, combustion of the battery is avoided, the use value and the energy utilization efficiency of the power battery are greatly improved and powerful scientific basis is provided for normalizing the power battery product market.

Description

technical field [0001] The present application relates to the technical field of battery management, in particular to a battery management system and method, which is applicable to various secondary chemical batteries such as various battery packs (but not including lead-acid battery packs): such as lithium battery packs, Fuel cell packs, air battery packs, water battery packs, sodium-sulfur battery packs, etc., whose application terminals provide power or electric energy storage, including but not limited to electric tricycles, two-wheelers, electric cars, buses, logistics vehicles, low-speed vehicles and All kinds of energy storage terminal battery packs. Background technique [0002] Batteries are an important part of new energy vehicles, and for various battery packs, battery capacity (SOC) estimation or battery health (SOH) estimation is a relatively difficult technology. [0003] At present, the traditional technology mainly has the following technical problems: [0...

AI Technical Summary

Problems solved by technology

[0004] In an existing technology, it transmits some simple location, battery voltage / current / temperature data through the BMS+GPRS module; and due to the general data and analysis methods, the effect of the application end is general

[0005] In another existing technology, its big data-based artificial intelligence algorithm and working mechanism are based on sampling or further data processing of a battery pack, and wirelessly transmit the data to the cloud platform through GPS or the like, and perform unified processing on the cloud platform. Big data computing or supercomputing, the disadvantage of this solution is that it requires a large amount of storage, and requires ultra-large-scale supercomputing

The cost of big data artificial intelligence with such an architecture is too high to implement

Another problem is that when the GPS signal is weak, such as in a tunnel, the signal will be partially missing and not continuous, which will have a great impact on the final analysis results, and even produce wrong results

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