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BMS monomer voltage acquisition method based on maximum likelihood calculation

A single voltage and acquisition method technology, applied in the direction of measuring electricity, measuring electrical variables, design optimization/simulation, etc., can solve the problem that battery current data cannot be effectively tested, and achieve the effect of ensuring processing capacity and enhancing reliability

Active Publication Date: 2020-01-10
苏州妙益科技股份有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] Many existing devices use battery packs as new power sources, which are not only energy-saving but also environmentally friendly. However, new problems have emerged. The current data of the batteries cannot be effectively tested, and the existing battery detection devices have large errors in the detection process.

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  • BMS monomer voltage acquisition method based on maximum likelihood calculation
  • BMS monomer voltage acquisition method based on maximum likelihood calculation
  • BMS monomer voltage acquisition method based on maximum likelihood calculation

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Embodiment Construction

[0042] The present invention will be further described below.

[0043] Such as figure 1 As shown, a BMS monomer voltage acquisition method based on maximum likelihood calculation of the present invention, including a multi-sensor inertial navigation system, also includes the following steps:

[0044] Step1: Define non-singular matrix

[0045] Among them, T k is the left-null space basis matrix of the sensor configuration matrix H in the system, that is, T k H=0,

[0046] in, is the matrix T k Orthogonal complementary spaces, namely

[0047] Step2: Use the matrix T to further process the system model.

[0048] Left multiplication of observation equation Z by non-singular matrix T k =H k x k +C k u k +v k Available

[0049] Z k =TC k x k +THu k +Tv k =TC k x k +Tv k

[0050] The system model can be further expressed as

[0051] x k+1 =A k x k +B k w k

[0052] Z k =TC k x k +Tv k ;

[0053] Step3: Use the strong tracking unscented Kalman f...

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Abstract

The invention discloses a BMS monomer voltage acquisition method based on maximum likelihood calculation. The s BMS monomer voltage acquisition method comprises a multi-sensor inertial navigation system, wherein for the situation of multiple data channels of a multi-sensor system, the MSTUKF is fused with a strong tracking filtering function; and multiple fading factors are adopted, so that the precision of the filter can be effectively improved, and divergence of the filter can be suppressed, and processing capacity for system errors is improved while the MSOF reserves processing capacity ofthe least square method for random errors. The multi-sensor optimal fusion algorithm (MSOF) performs optimal processing on the stability error of the inertial sensor in the system, thus enhancing thereliability of the system; and at the same time while, when the error models of the sensors are the same, the output of the BMS monomer voltage acquisition method is the estimation result of the leastsquare method, thus guaranteeing the processing capacity of the system for random errors, and the Kalman filtering part has no influence on system data.

Description

technical field [0001] The invention relates to the technical field of battery detection, in particular to a BMS monomer voltage acquisition method based on maximum likelihood calculation. Background technique [0002] Many existing devices use battery packs as a new power source, which is not only energy-saving but also environmentally friendly. However, new problems have emerged. The current data of the battery cannot be effectively tested, and the existing battery detection device has large errors in the detection process. . Contents of the invention [0003] Based on the above technical defects, a multi-sensor optimal fusion method (MSOF) is proposed. For the case of multiple data channels in a multi-sensor system, MSTUKF incorporates a strong tracking filter function, and uses multiple fading factors, which can effectively improve the accuracy of the filter, and can inhibit the divergence of the filter, improving the stability of the system. The ability to handle er...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/20G01R31/367G01R31/385
CPCG01R31/367G01R31/385
Inventor 禹成海
Owner 苏州妙益科技股份有限公司