Lithium ion battery SOC estimation method

Abstract

The invention relates to the field of lithium ion battery SOC detection technology and battery management, in particular to a lithium ion battery SOC estimation method based on an adaptive neural network and a nonlinear algorithm, which comprises the following steps: selecting an equivalent circuit model of a battery according to the battery of which the SOC is to be estimated, and selecting real-time parameters to be identified in the equivalent circuit model; identifying real-time parameters to be identified in the equivalent circuit model by adopting a combination method of an adaptive linear neural network and minimum mean value M estimation; according to the calculated sum of the voltages and the internal resistance of each loop in the equivalent circuit model and the measured voltage and current of the battery, the value of the open-circuit voltage is obtained; and the system obtains an estimation result of the SOC according to the pre-calibrated SOC and the open-circuit voltage mapping table. The estimation method is simple in mathematical model, accurate and stable in parameter identification, reliable in SOC evaluation result, and capable of effectively improving the safety, the efficiency and the service life of the battery system used by the new energy vehicle (NEV).

Description

technical field [0001] The invention relates to the field of battery management, in particular to a lithium-ion battery SOC estimation method based on an adaptive neural network and a nonlinear algorithm. Background technique [0002] As the trend of vehicle electrification has been recognized by the vast majority of original equipment manufacturers in the world, electric vehicles and hybrid vehicles account for an increasing share of the global automotive market, and at the same time, high-voltage battery systems are becoming more and more important. Among all kinds of batteries, lithium-ion (Li-ion) batteries have become the most commonly used energy storage method due to their many advantages, including: high power density, high energy density, high safety and relatively long service life. [0003] For safety and high-capacity considerations, Li-ion battery pack systems consist of hundreds of Li-ion cells connected in series or parallel and are managed by a battery manag...

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Problems solved by technology

[0006] The purpose of the present invention is: to provide a simple and reliable lithium-ion battery SOC estimation method to solve the problems of poor pulse noise suppression ability, inaccurate parameter identification, and unreliable SOC estimation results in the lithium-ion battery SOC estimation method in the prior art. problem, and make the identification model more simplified

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