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A battery SOC estimation method

A SOCB and battery technology, applied in the field of battery energy management, can solve problems such as data saturation, forgetting factor cannot be optimized, and large fluctuations in estimation errors, so as to avoid saturation and improve the accuracy of SOC real-time estimation

Active Publication Date: 2022-05-24
MICROVAST
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The recursive least squares method can effectively correct the state of charge estimated by the ampere-hour integral, but there are two problems in the application process of the recursive least squares method: 1. The recursive least squares method is prone to data saturation; 2. The forgetting factor in the recursive least squares method cannot be optimized in real time with the working conditions, resulting in large fluctuations in estimation errors

Method used

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  • A battery SOC estimation method

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Embodiment 1

[0031] like figure 1 As shown, this embodiment provides a battery SOC estimation method, and the method is applied to the SOC estimation of a ternary battery, including the following steps:

[0032] A. Obtain the current SOC value of the battery through the battery management system (BMS) BMS , according to SOCBMS Determine the exit condition for recursive least squares. The battery management system updates the battery SOC value in real time. When using this method to estimate the SOC, first obtain the SOC value SOC estimated by the battery management system BMS , and according to SOC BMS to determine the exit condition of the recursive least squares method in this method;

[0033] B. Use the ampere-hour integral algorithm to continuously estimate the real-time SOC value of the battery from the beginning of the estimation procedure;

[0034] The exit condition is: in the recursive process of the recursive least squares method, the cumulative change of SOC recorded by the ...

Embodiment 2

[0050] The difference between this embodiment and the first embodiment is that:

[0051] The exit condition of the recursive least squares method is: the cumulative change of SOC recorded by the ampere-hour integration algorithm ≥ΔErr*dSOC BMS / dOCV BMS And when the number of recurrences N is more than 60 times, or when the number of recurrences has exceeded 300 times, the recurrence is stopped;

[0052] When performing step D, when the SOC variation of the battery is greater than 5%, the recursive least squares method is used to calculate the battery at t B SOC value at time SOC B ;

[0053] in determining SOC B effectiveness when the SOC B Compliant with the SOC B The correlation between OCV value and SOC value at dSOC B / dOCV B B -SOC A -ΔSOC|≤0.5%, the SOC is determined B Valid; when abs|SOC B -SOC A -ΔSOC|≤0.5% and dSOC B / dOCV B When ≥0.05% / mV, it is judged that SOCB is invalid; when abs|SOC appears B -SOC A When -ΔSOC|>0.5%, continue to repeat steps A-D....

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Abstract

The invention provides a battery SOC estimation method. Including the following steps: A. Obtain the current SOC value SOC of the battery through the battery management system BMS , according to SOC BMS Determine the exit conditions of the recursive least squares method; B. Use the ampere-hour integral algorithm to estimate the SOC value of the battery in real time; C. Use the recursive least squares method to estimate the battery at t A The SOC value at the moment and stop recursion when the exit condition is met, and get t A SOC value at time SOC A ; D. Record t by integrating the ampere hour A The amount of SOC change after the moment, when the SOC change of the battery is greater than the preset value, use the recursive least square method to estimate the battery at this time t B The SOC value at the moment and stop recursion when the exit condition is met, and get t B SOC value at time SOC B ; E. Judging SOC B effectiveness. The SOC estimating method provided by the invention can effectively calibrate the ampere-hour integral accumulation error and improve the SOC estimating precision.

Description

technical field [0001] The invention relates to the field of battery energy management, in particular to a battery SOC estimation method. Background technique [0002] The estimation of the state of charge (SOC) of the battery is one of the key technologies in the battery management system, which is not only related to the estimation of the mileage of the vehicle, but also to the safety of the power battery. Accurate estimation of battery SOC is conducive to accurately predicting the remaining power of the battery, and then determining an effective battery management strategy, avoiding damage to the battery caused by overcharging or discharging, and prolonging the service life of the battery [0003] At present, the common estimation method is to obtain the SOC by studying the open circuit voltage (OCV) of the battery, the variation law of the voltage during constant current discharge, the internal resistance of the battery and other characteristics, resulting in some basic ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01R31/367
CPCY02T10/70
Inventor 程海峰方伟峰马瑞军
Owner MICROVAST