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Method for optimizing residual value of retired power battery

A power battery and residual value technology, applied in design optimization/simulation, instruments, artificial life, etc., can solve problems such as difficult operation plan, non-linearity, inconsistent battery decline law, etc., and achieve the effect of refined prediction and improved efficiency

Active Publication Date: 2021-08-20
SHANGHAI UNIVERSITY OF ELECTRIC POWER
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] However, the existing cascade utilization of decommissioned batteries as energy storage has the following problems: the degradation of batteries is extremely irregular and non-linear, and the degradation laws of different manufacturers or different batches of batteries are inconsistent, which poses difficulties for the subsequent formulation of operation plans; At present, enterprises generally adopt the charging and discharging mode of deep charge and deep discharge, and control the discharge depth at 70% to 80%, without considering the loss cost caused by battery decline

Method used

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  • Method for optimizing residual value of retired power battery
  • Method for optimizing residual value of retired power battery
  • Method for optimizing residual value of retired power battery

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Embodiment 1

[0052] refer to Figure 1 to Figure 5 , which is the first embodiment of the present invention, provides a method for optimizing the remaining value of decommissioned batteries, which specifically includes:

[0053] S1: Collect historical usage data of electric vehicle power batteries and import them into the gray model. What needs to be explained is:

[0054] In this example, the cyclic charge and discharge test is carried out for the 18650 type power lithium battery, and the actual measured data is used as the basic data to predict the immediate decline speed of the next step. The various parameters of the test are shown in Table 1, and the test steps of the cyclic experiment are shown in Table 2.

[0055] Table 1: 18650 type lithium power battery parameter table.

[0056] project Specification Q 3.2V Nominal capacity 1.15Ah Internal resistance 10mΩ Charge cut-off voltage 3.65±0.05V Charge cut-off voltage 2.5±0.05V

[0057]...

Embodiment 2

[0125] refer to Figure 5 ~ Figure 8 , which is the second embodiment of the present invention. This embodiment is different from the first embodiment in that it provides a verification comparison test of a method for optimizing the residual value of decommissioned power batteries, which specifically includes:

[0126] In this example, a large-volume bus demonstration station integrating light, charging and storage is taken as an example in Zhejiang. The demonstration station is equipped with an 800kW photovoltaic system and a 500kW / 2MWh energy storage system. The battery is a decommissioned lithium iron phosphate battery. Its structure is as follows: Figure 5 shown.

[0127] refer to Figure 6 , is the electricity load of the bus station and the output of the photovoltaic system within a day. Due to the huge charging volume of the bus station, the power generated by the photovoltaic system can basically be absorbed by the bus station; the charging load of the bus is affecte...

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Abstract

The invention discloses a method for optimizing the residual value of a retired power battery. The method comprises the following steps: predicting a recession rule during the echelon utilization period of the power battery according to the combination of a gray model and a least square support vector machine; converting the capacity recession of the battery into loss cost, taking the maximum single-day charging and discharging income of the decommissioned battery as a target function, and taking power balance constraint, energy storage safety and decommissioned battery scheduling as constraint conditions; importing micro-grid data, solving the gray model by using a particle swarm algorithm, formulating a decommissioned battery operation scheme with the highest income, and collecting use data of the decommissioned battery under the decommissioned battery operation scheme; and feeding back the use real data after the echelon utilization of the battery to the least square support vector machine to serve as a training set of the least square support vector machine, and completing rolling prediction of the decline speed. According to the method, data support is provided for subsequently formulating an operation scheme, and the problem of inconsistency of a battery recession rule is effectively solved.

Description

technical field [0001] The invention relates to the technical field of cascade utilization of decommissioned power batteries, in particular to a method for optimizing the residual value of decommissioned power batteries. Background technique [0002] In recent years, the popularity of new energy vehicles has remained high, accompanied by a wave of decommissioning of power batteries. It is estimated that by 2025, the decommissioned volume of power lithium batteries in China will exceed 730,000 tons, of which 70% can be used in stages. The market size exceeds 20 billion yuan. In October 2020, the Ministry of Industry and Information Technology solicited opinions on the "Administrative Measures for the Cascade Utilization of Power Batteries of New Energy Vehicles", encouraging cascade utilization companies to cooperate with enterprises in the production of new energy vehicles, production of power batteries, and recycling and dismantling of scrapped motor vehicles to strengthen ...

Claims

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Application Information

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IPC IPC(8): G06F30/27G06N3/00G06F119/04
CPCG06F30/27G06N3/006G06F2119/04
Inventor 王华昕褚启迪
Owner SHANGHAI UNIVERSITY OF ELECTRIC POWER
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