Low-cost prediction method for cycle life of lithium ion battery
A lithium-ion battery and cycle life technology, applied in design optimization/simulation, calculation, computer-aided design, etc., can solve the problems of high cost, long battery cycle life, etc., and achieve intuitive models, reduced prediction costs, and easy display Effect
Active Publication Date: 2021-12-21
NORTHWESTERN POLYTECHNICAL UNIV
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Problems solved by technology
[0005] In order to solve the technical problem of using the existing cycle life test to obtain the battery cycle life time-consuming and high cost, the present invention provides a low-cost prediction method for the cycle life of lithium-ion batteries
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[0050] Below in conjunction with accompanying drawing, the present invention is described in more detail.
[0051] Such as figure 1 As shown, the low-cost prediction method for lithium-ion battery cycle life provided by the embodiment of the present invention, the specific steps are as follows:
[0052] Step 1: select m lithium-ion battery cells belonging to the same system, and carry out cycle life tests on them respectively; m≥60 (m=124 in this embodiment; the systems mentioned here are distinguished by positive electrode materials, The battery with the same positive electrode material is the battery of the same system, such as lithium iron phosphate battery with lithium iron phosphate as the positive electrode material, and nickel cobalt lithium manganese oxide battery with nickel cobalt lithium manganese oxide as the positive electrode material.
[0053] Step 2: For each lithium-ion battery cell selected in step 1, the test parameter X in the Nth (N=100 in this embodiment...
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The invention provides a low-cost prediction method for the cycle life of a lithium ion battery in order to solve the technical problems of long time consumption and high cost of obtaining the cycle life of the battery by using an existing cycle life test. According to the invention, through characteristic parameter screening, a good linear relationship is shown between new characteristics obtained after dimension reduction and fusion of three characteristic parameters, i.e., average ohmic internal resistance IR, discharge capacity Qd and minimum temperature Tmin, in the Nth (N >= 100) cycle process of a lithium ion battery monomer and the cycle life Y(i) of the lithium ion battery, therefore, a lithium ion battery cycle life prediction model is obtained by performing special treatment on the three characteristic parameters and the cycle life. When the obtained prediction model is used for predicting the cycle life of the to-be-tested lithium ion battery, the cycle life of the to-be-tested lithium ion battery can be accurately predicted only by adopting the test data in the Nth (N >= 100) cycle process of the to-be-tested lithium ion battery, so that the prediction cost is greatly reduced.
Description
technical field [0001] The invention relates to a method for testing the electrical condition of a battery, in particular to a low-cost prediction method for the cycle life of a lithium-ion battery. Background technique [0002] As the traditional power system of underwater vehicles, thermal power system cannot meet the requirements of large voyage depth due to its high noise, poor concealment, and the influence of back pressure. In recent years, under the wave of the era when the country actively advocates new energy sources, lithium-ion batteries with excellent performance stand out and become a research hotspot in various industries. For the underwater field, the electric power system is a closed system, which does not emit any external emissions, has no wake, and is not affected by back pressure, so it has become a favored object of researchers in the industry. [0003] Lithium-ion batteries have the characteristics of high energy density and high power density. In ord...
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IPC IPC(8): G06F30/20G06F119/04
CPCG06F30/20G06F2119/04
Inventor 毛昭勇陈佩雨田文龙卢丞一
Owner NORTHWESTERN POLYTECHNICAL UNIV