Soc estimation device

Abstract

The invention relates to a soc estimation device which comprises a historical data collection module, an LSTM module and a display module. The historical data collection module comprises a charging frequency F collection module, a full-charge SOC collection module, a battery use time delta T collection module, and an open-circuit voltage U collection module and / or the current I collection module;the charging frequency F collection module for recording the charging frequency F of a battery, and once charging is counted every time the battery is used up and waken up by charging again; the full-charge SOC collection module is used for recording a full-charge SOC, and the charging frequency F corresponds to the full-charge SOC; the battery use time delta T collection module is used for recording battery use time delta T, and the battery use time delta T is the time when the battery is exhausted and the battery operates until the fully-charged SOC is exhausted after the fully-charged SOC is recharged for one time; and the open-circuit voltage U collection module and / or the current I collection module are / is used for recording the open-circuit voltage U and / or the current I in the battery use time delta T. The SOC is accurately estimated by using the time recurrent neural network of the LSTM, and the method has the beneficial effects of time saving, labor saving and accurate estimation. The device can be applied to the fields of portable battery use, such as new energy vehicles, Internet of Vehicles and Internet of Things.

Description

technical field [0001] The invention relates to a SOC estimation device for total broadband, in particular to an SOC estimation device suitable for various energy storage batteries. Background technique [0002] The current rise in crude oil prices and global environmental issues have led to the rapid development of new battery energy storage systems. Lead-acid batteries, nickel-metal hydride batteries, nickel-cadmium batteries and lithium-ion batteries are the most commonly used batteries in industry at present. The battery has the advantages of high working battery voltage, low pollution, low self-discharge rate and high power density. Batteries are widely used in pure electric vehicles or hybrid electric vehicles due to their portability. [0003] Estimating SOC (STATE OF CHARGE) is the basic requirement for using batteries. SOC is a very important parameter for control strategies. Therefore, accurate estimation of SOC can not only protect batteries, prevent over-discha...

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Problems solved by technology

[0004]However, since the chemical energy characteristics of various energy storage batteries are not consistent, such as the relationship between the SOC of a lithium battery and a lead-acid battery and its open circuit voltage (OCV, OPEN CIRCUIT VOLTAGE) The relationship between SOC and OCV of a lithium battery is approximately linear, and the above-mentioned various estimation methods need to be adjusted frequently, which is time-consuming and labor-intensive, and the existing SOC estimation technology does not consider the number of times the battery is used and other factors for SOC estimation. impact, resulting in structural flaws in the estimation method

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