A method for predicting the life of a lead-acid battery pack

A lead-acid battery and prediction method technology, applied in the field of distribution network, can solve problems such as unrealistic and large precision deviation, and achieve the effect of improving accuracy, improving accuracy and improving accuracy

A lead-acid battery and prediction method technology, applied in the field of distribution network, can solve problems such as unrealistic and large precision deviation, and achieve the effect of improving accuracy, improving accuracy and improving accuracy

CN104316879BActive Publication Date: 2018-08-10ZHUHAI XJ ELECTRIC +1

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  • A method for predicting the life of a lead-acid battery pack
  • A method for predicting the life of a lead-acid battery pack
  • A method for predicting the life of a lead-acid battery pack

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Embodiment Construction

[0039] Battery health prediction directly determines the speed and cost of enterprise operation and maintenance management. Timely discover the deterioration trend of the battery, take effective measures, use and replace the battery properly, reduce and eliminate the occurrence of large-scale power outages caused by the battery, prevent problems before they happen, and transform from passive fire-fighting management after the accident to pre-accident Active avoidance management ensures the safe and stable operation of distribution network automation, reduces maintenance difficulty, and has high practical value and management benefits.

[0040] Timely and effective battery performance prediction can change the user's maintenance method, from the original large-scale, blind, and regular maintenance to planned, purposeful, and targeted maintenance, which is conducive to the reasonable arrangement of power grid operation and unit maintenance, making the network The nodes are more ...

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Abstract

The invention discloses a method for forecasting the service life of a lead-acid storage battery. The method comprises the steps of: periodically activating the storage battery to obtain an activated charging capacity thereof and thereby obtain a variable point (t, Sc) of each periodically activating time t and the corresponding charging capacity Sc; naturalizing the variable point (t, Sc) obtained after each activation to the corresponding normal capacity point (ti, Sci), wherein i is the number of corresponding periodically activating times; calling a least square method to fit a parabolic function Sc=(i)at( / i)2(i)+bt( / i)+c of the charging capacity Sc and the time t as the forecasting curve for the service life of the storage battery, wherein a, b and c are related coefficients of the parabola. The method for forecasting the service life of the lead-acid storage battery achieves improved forecasting accuracy, and is applicable to various storage batteries and low in forecasting cost; the forecasting method adopts a single parameter for forecasting, thus reducing computation complexity.

Description

technical field [0001] The invention relates to the field of distribution networks, in particular to a method for predicting the service life of a lead-acid battery pack. Background technique [0002] As an independent DC power supply for transmission, protection, control and communication, lead-acid batteries are widely used in distribution network automation systems. The opening and closing of the mechanism and the operation of the power distribution terminal equipment provide electric energy. Therefore, the stable, reliable and safe operation of batteries is of great significance to distribution network automation. [0003] Batteries in the distribution network are mostly installed outdoors, and the operating environment is harsh. In addition, improper use of batteries can easily lead to water loss inside the battery and corrosion of the plates, resulting in a decrease in battery capacity and performance. As the distribution of batteries becomes wider and larger, the nu...

Claims

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Application Information

Patent Timeline
10 Aug 2018
Publication
CN104316879B
IPC
G01R31/36
Inventors
汤定阳; 王建微