CN-121998164-A - Production optimization method, device, equipment and medium for lithium battery products

CN121998164ACN 121998164 ACN121998164 ACN 121998164ACN-121998164-A

Abstract

The invention discloses a production optimization method, device, equipment and medium for a lithium battery product, and belongs to the field of lithium battery production and manufacturing. The method comprises the steps of firstly obtaining carbon emission factors and material input ranges of production processes in a product manufacturing stage, constructing an objective function for minimizing total carbon emission according to the carbon emission factors, comprehensively considering actual constraints such as continuous operation of equipment, cost control, reasonable material consumption and the like, constructing a lithium battery product production optimization model, and finally calculating the material input amounts of the processes through a solver to guide production adjustment. Therefore, the invention can solve the problem that the production efficiency of the link with the largest emission reduction potential is difficult to be improved while the emission reduction is carried out on the link in the prior art.

Inventors

TANG RUN
LI JINFENG
Pan Ziyan
YAO YU
ZHAO YING
ZHU YISHUN
LIU FENGWEI
BAI SHAN
HUANG GUANBIN

Assignees

广东电网有限责任公司广州供电局

Dates

Publication Date: 20260508
Application Date: 20251224

Claims (10)

1. A method for optimizing production of a lithium battery-oriented product, comprising: acquiring carbon emission factors of each production process and upper and lower limits corresponding to the input amount of each material in the product manufacturing stage of the lithium battery product; According to the carbon emission factors of the production processes, taking the input amount of each material as a decision variable, and further constructing an objective function by minimizing the total carbon emission in the product manufacturing stage of the lithium battery product; Establishing continuous production constraint, production cost constraint and input constraint corresponding to each material input amount according to the upper limit and the lower limit corresponding to each material input amount; establishing a lithium battery product production optimization model according to the objective function, the continuous production constraint, the production cost constraint and the input constraint corresponding to the input amount of each material; And solving the lithium battery product production optimization model through a preset solver to obtain the material input quantity of each production flow of the lithium battery product, and carrying out production optimization according to the material input quantity of each production flow.
2. The method for optimizing production of a lithium battery product according to claim 1, further comprising, before the step of obtaining the carbon emission factor of each production process in the product manufacturing stage of the lithium battery product: acquiring full life cycle carbon footprint accounting data of the lithium battery product; And comparing the carbon emission of each stage in the full life cycle carbon footprint accounting data, and determining the product manufacturing stage as a production optimization object.
3. The method of claim 1, wherein the constructing an objective function based on the carbon emission factor of each production process with each material input as a decision variable to minimize the total carbon emission in the product manufacturing stage of the lithium battery product comprises: According to the carbon emission factors of the production flows, taking the input amount of each material as a decision variable, and further constructing an objective function with the minimum total carbon emission in the product manufacturing stage of the lithium battery product, wherein the expression of the objective function is as follows: Wherein, the For the total carbon emissions in the product manufacturing stage of the lithium battery product, For the carbon emission factor corresponding to the ith material in the jth production flow, The input amount of the ith material in the jth production flow is the input amount of the ith material in the jth production flow.
4. The method for optimizing production of a lithium battery product according to claim 1, wherein establishing continuous production constraints, production cost constraints, and input constraints corresponding to the input amounts of materials according to the upper limit and the lower limit corresponding to the input amounts of materials comprises: According to the upper limit and the lower limit corresponding to the input amount of each material, establishing continuous production constraint, production cost constraint and input constraint corresponding to the input amount of each material, wherein the expression of the continuous production constraint is as follows: Wherein, the For the amount of input power corresponding to the jth production flow, The total amount of power input in the product manufacturing stage is N, the number of production processes in the product manufacturing stage, And The lower and upper limits of the operating power of the production facility, respectively.
5. The method for optimizing production of a lithium battery product according to claim 1, wherein establishing continuous production constraints, production cost constraints, and input constraints corresponding to the input amounts of materials according to the upper limit and the lower limit corresponding to the input amounts of materials comprises: According to the upper limit and the lower limit corresponding to the input amount of each material, establishing continuous production constraint, production cost constraint and input constraint corresponding to the input amount of each material, wherein the expression of the production cost constraint is as follows: Wherein, the As a result of the price conversion factor, In order to be an upper limit of the production cost, The total input of the ith material.
6. The method for optimizing production of a lithium battery product according to claim 1, wherein establishing continuous production constraints, production cost constraints, and input constraints corresponding to the input amounts of materials according to the upper limit and the lower limit corresponding to the input amounts of materials comprises: And establishing continuous production constraint, production cost constraint and input constraint corresponding to each material input amount according to the upper limit and the lower limit corresponding to each material input amount, wherein the input constraint corresponding to each material input amount comprises natural gas input constraint, phosphoric acid input constraint, copper foil input constraint, polyethylene input constraint and methanol input constraint.
7. The method of optimizing production of a lithium battery-oriented product according to any one of claims 1 to 6, wherein the predetermined solver is any one of CPLEX, gurobi, or COPT.
8. The production optimization device for the lithium battery product is characterized by comprising a data acquisition module, a first processing module, a second processing module, a third processing module and a production optimization module; the data acquisition module is used for acquiring carbon emission factors of each production flow and upper and lower limits corresponding to the input amount of each material in the product manufacturing stage of the lithium battery product; The first processing module is used for constructing an objective function according to the carbon emission factors of the production processes by taking the input amount of each material as a decision variable and further minimizing the total carbon emission in the product manufacturing stage of the lithium battery product; the second processing module is used for establishing continuous production constraint, production cost constraint and input constraint corresponding to each material input amount according to the upper limit and the lower limit corresponding to each material input amount; the third processing module is used for establishing a lithium battery product production optimization model according to the objective function, the continuous production constraint, the production cost constraint and the input constraint corresponding to the input amount of each material; The production optimization module is used for solving the lithium battery product production optimization model through a preset solver to obtain the material input quantity of each production flow of the lithium battery product, and carrying out production optimization according to the material input quantity of each production flow.
9. A terminal device comprising a processor, a memory and a computer program stored in the memory and configured to be executed by the processor, the processor implementing the method of optimizing production of a lithium battery-oriented product according to any one of claims 1-7 when the computer program is executed by the processor.
10. A computer readable storage medium comprising a stored computer program, wherein the computer program, when run, controls a device in which the computer readable storage medium is located to perform the method of optimizing production of a lithium battery-oriented product according to any one of claims 1-7.

Description

Production optimization method, device, equipment and medium for lithium battery products Technical Field The invention relates to the field of production optimization of lithium battery products, in particular to a production optimization method, a device, equipment and a medium for lithium battery products. Background In the field of production optimization of lithium battery products, enterprises are generally concerned about how to improve the performance, safety and production efficiency of batteries, while striving to reduce production costs. The field relates to a complete chain from raw material treatment, electrode preparation and cell assembly to chemical composition, and the process parameters and equipment model selection of each link directly affect the quality and economy of the final product. In recent years, with global attention to climate change, how to reduce energy consumption and greenhouse gas emissions during production has also become an important research direction in this field. In the prior art, many carbon footprint accounting methods focus mainly on direct energy consumption of the product manufacturing link itself, such as calculating emissions corresponding to electricity and natural gas consumption in a factory. In addition, after obtaining carbon emission data, most existing production optimization methods often only make local adjustments, such as changing energy saving models of a single device or adjusting temperature settings of a certain process. These optimization measures are often isolated and fragmented due to the lack of analytical tools to model raw material selection, energy structure, process coupling and overall carbon emissions in a coordinated fashion. Therefore, the current lithium battery industry has two outstanding problems that firstly, the carbon footprint calculation is incomplete and non-uniform, so that enterprises cannot accurately evaluate the environmental performance of products per se, and the international increasingly strict product carbon label requirements are difficult to meet, secondly, the enterprises often invest resources to carry out technical transformation, but cannot accurately position the link with the largest emission reduction potential, the overall carbon reduction effect is limited, and the control objective of the production cost possibly conflicts. Disclosure of Invention The invention provides a production optimization method, device, equipment and medium for lithium battery products, which can solve the problem that the production efficiency of a link with maximum emission reduction potential is difficult to be improved while the emission reduction is carried out on the link in the prior art. In a first aspect, an embodiment of the present invention provides a method for optimizing production of a lithium battery product, including: acquiring carbon emission factors of each production process and upper and lower limits corresponding to the input amount of each material in the product manufacturing stage of the lithium battery product; According to the carbon emission factors of the production processes, taking the input amount of each material as a decision variable, and further constructing an objective function by minimizing the total carbon emission in the product manufacturing stage of the lithium battery product; Establishing continuous production constraint, production cost constraint and input constraint corresponding to each material input amount according to the upper limit and the lower limit corresponding to each material input amount; establishing a lithium battery product production optimization model according to the objective function, the continuous production constraint, the production cost constraint and the input constraint corresponding to the input amount of each material; And solving the lithium battery product production optimization model through a preset solver to obtain the material input quantity of each production flow of the lithium battery product, and carrying out production optimization according to the material input quantity of each production flow. The embodiment of the application provides a data basis for the whole optimization process by acquiring the specific carbon emission factor of each production link in the product manufacturing stage. This allows the enterprise to clearly see the emission contributions of different processes, changing the situation of previous accounting roughness. Secondly, it sets various material consumption in production as adjustable decision variables and directly aims at reducing the total carbon emission to establish mathematical functions. This translates the emission abatement goal into a clear, computable engineering problem. Then, the application simultaneously considers the practical requirement of continuous operation of equipment, the production cost limit of enterprises and the reasonable application range of various materials. By establishing th