Cell optimizing and matching technology based on charge and discharge characteristics

Abstract

The invention relates to an optimizing and matching technology of lithium power battery cells, which is used for realizing the rapid matching of battery cells of M parallel connection and N series connection (shown in a picture 1). The optimizing and matching technology comprises the steps of: selecting a plurality of important property indexes of the lithium power battery cells, such as voltages V, internal resistors R and capacitors C, charge and discharge curves, and the like as matching parameters; selecting N M parallel connection groups according to the consistency of the voltages V, the consistency of the internal resistors R and the capacitors C, the consistency of the discharge curves and the consistency of the charge curves; and matching according to the consistency of capacities of the parallel connection groups. If the consistency of each parallel connection group does not accord with the requirement, the battery cells in the parallel connection group are adjusted according to a one-subtraction and one-addition method. By the matching experiment of battery cell real data provided by a batter cell production factory, it proves that the efficiency and the property of the technology are remarkably improved compared with manual matching.

Description

Cell Optimal Grouping Technology Based on Charging and Discharging Characteristics Technical field The invention relates to an optimized grouping technology of lithium power battery cells, which belongs to the field of new energy and electronic technology. Background technique At present, power lithium batteries have been widely recognized due to their high working voltage, small size, light weight, high energy density, no memory effect, no pollution, small self-discharge, and long cycle life. Since commercialization, lithium-ion batteries have found widespread use in laptop computers, video cameras, mobile communication devices, automobiles, and electric vehicles. The performance and quality of power lithium batteries involve many factors in production and use. As far as the production process is concerned, the main influencing factors are as follows: (1) The quality of the battery itself. (2) Matching technology. (3) Connection technology. (4) Management level. The...

AI Technical Summary

Problems solved by technology

In fact, the problem of grouping lithium-ion batteries is a multi-objective, multi-factor combinatorial optimization problem, and it is also an NP-hard problem.

However, the computational complexity of the exhaustive method is exponential. When the scale of the problem is large, the amount of calculation is very large, and it is difficult for the most advanced computer to complete it in a short time. Activities have any substantial help

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