CN-122022050-A - Power battery carbon footprint management method and system

CN122022050ACN 122022050 ACN122022050 ACN 122022050ACN-122022050-A

Abstract

The invention relates to the technical field of carbon footprint management, in particular to a method and a system for managing the carbon footprint of a power battery, wherein the method comprises the following steps of determining the full life cycle of the power battery, wherein the full life cycle comprises a raw material acquisition link, a manufacturing link, a using link and a retired recovery link; the method comprises the steps of deploying a multi-source data acquisition device in a full life cycle, cleaning and formatting acquired multi-source data, uploading the multi-source data to a blockchain network for evidence storage, calculating the carbon footprint of the full life cycle of the power battery through a dynamic carbon emission factor library and a mixed accounting model according to the evidence storage data, analyzing the calculated carbon footprint to identify a high-carbon link, and generating a collaborative optimization strategy through simulating an emission reduction scene. The invention ensures the comprehensiveness and credibility of the carbon data through the multi-source data acquisition and blockchain technology, improves the calculation accuracy of the carbon footprint through the dynamic carbon emission factor library and the mixed calculation model, and can generate a collaborative optimization strategy to guide the actual production and emission reduction decision.

Inventors

XU YING
XIE TINGTING
LIN QIN
LIU YANGGUANG
ZHENG WENLONG
ZENG XIANFU
Liu Zongtuan
FENG HONGXIANG
YE XIAOFEI

Assignees

宁波财经学院
广州科技职业技术大学

Dates

Publication Date: 20260512
Application Date: 20260203

Claims (10)

1. The power battery carbon footprint management method is characterized by comprising the following steps of: Determining the full life cycle of the power battery, wherein the full life cycle comprises four links, namely a raw material acquisition link, a power battery manufacturing link, a power battery using link and a retired recovery link; Collecting multi-source data of four major links in the whole life cycle, cleaning and formatting the multi-source data, and uploading the multi-source data to a blockchain network for evidence storage; Calculating the carbon footprint of the full life cycle of the power battery through a dynamic carbon emission factor library and a mixed accounting model according to the multi-source data stored in the blockchain network; And analyzing the calculated carbon footprint to identify a high-carbon link, and generating a collaborative optimization strategy by simulating the emission reduction scene.
2. The method for managing carbon footprint of power battery according to claim 1, wherein the steps of collecting multi-source data of four links in the whole life cycle, and uploading the multi-source data to a blockchain network for certification after cleaning and formatting the multi-source data, comprise the following steps: disposing a multi-source data acquisition device at four major links of the full life cycle for acquiring the multi-source data of corresponding links; And cleaning and formatting the multi-source data through edge computing equipment, and uploading the multi-source data to a blockchain network for certification.
3. The power cell carbon footprint management method of claim 2, wherein: The multi-source data of the raw material acquisition link at least comprises the load, the driving mileage and the energy consumption of the mining transportation equipment, the energy consumption of the mining excavating equipment, the energy consumption of ore processing and the outsourcing material consumption, the multi-source data of the power battery manufacturing link at least comprises the energy consumption, the outsourcing material consumption and the power battery code of the power battery manufacturing, the multi-source data of the power battery using link at least comprises the charging electric quantity and the electric energy source, and the multi-source data of the retired recovery link at least comprises the energy consumption, the outsourcing material consumption, the power battery code, the production date and the retired time.
4. A method of power cell carbon footprint management according to claim 3, wherein: And sticking an RFID tag containing the power battery code, the production date and the retired time of the power battery on the outer package of the retired power battery, and reading information on the RFID tag through an RFID reader deployed at the entrance of the recycling disassembly line.
5. The method for managing the carbon footprint of the power battery according to claim 1, wherein the step of calculating the carbon footprint of the full life cycle of the power battery according to the multi-source data stored in the blockchain network through a dynamic carbon emission factor library and a mixed accounting model comprises the following steps: acquiring the multi-source data which are stored in the block chain network, calling a dynamic carbon emission factor library, and determining carbon emission factors corresponding to the multi-source data; And inputting the multi-source data and the corresponding carbon emission factors into a mixed accounting model, and further calculating the carbon footprint of the whole life cycle of the power battery.
6. The power cell carbon footprint management method of claim 5, wherein: and storing the carbon emission factors by adopting a relational database, wherein the carbon emission factors comprise factor IDs, factor types, regions, time and factor values.
7. The power cell carbon footprint management method of claim 5, wherein: the carbon footprint of the full life cycle of the power battery is the sum of the carbon footprints of the raw material acquisition link, the power battery manufacturing link, the power battery using link and the retired recovery link.
8. The method for managing the carbon footprint of a power battery according to claim 1, wherein the analyzing the calculated carbon footprint to identify high carbon links and generating a collaborative optimization strategy by simulating an emission reduction scene comprises the steps of: Finding out links with high carbon footprint ratio through pareto analysis, and marking the links as high carbon links when the carbon footprint ratio of a certain link exceeds 20%; aiming at the high-carbon link, adopting Monte Carlo simulation to predict the carbon footprint change of the full life cycle of the power battery under different emission reduction scenes, and further obtaining the collaborative optimization strategy; and triggering a collaborative optimization instruction by utilizing an intelligent contract according to the identification result of the high-carbon link and the collaborative optimization strategy, and sending a collaborative optimization invitation to an enterprise.
9. The method for managing the carbon footprint of the power battery according to claim 1, wherein the step of obtaining the collaborative optimization strategy by predicting the carbon footprint change of the full life cycle of the power battery in different emission reduction scenes by adopting monte carlo simulation according to the high-carbon link comprises the following steps: Designing a preselected emission reduction scheme of the high-carbon link; determining a first input variable corresponding to the preselected emission reduction scheme, and a variation range and probability distribution of the first input variable, thereby randomly generating a plurality of simulation samples; determining a second input variable corresponding to the original scheme of the high-carbon link, and the variation range and probability distribution of the second input variable, so as to randomly generate a plurality of comparison simulation samples; And calculating the carbon footprint of the full life cycle of the power battery under each simulation sample and each comparison simulation sample, and further obtaining the collaborative optimization strategy through comparison of carbon footprint changes.
10. A power cell carbon footprint management system comprising a data acquisition device, a data output device, a processor, and a storage comprising a computer readable storage medium having a computer program stored therein, the computer program comprising program instructions that when executed by the processor cause the processor to implement a power cell carbon footprint management method as claimed in any one of claims 1-9.

Description

Power battery carbon footprint management method and system Technical Field The invention relates to the technical field of carbon footprint management, in particular to a power battery carbon footprint management method and system. Background At present, the existing power battery carbon footprint management technology mainly has the defects that firstly, at a data acquisition level, manual reporting and static estimation are generally relied on, data sources are scattered, diameters are different, an effective tamper-proof and traceability mechanism is lacked, so that the authenticity and reliability of carbon data are insufficient, secondly, at an accounting model level, a static and area-average carbon emission factor database is mostly adopted, the actual condition of a real-time power grid carbon intensity fluctuation and a specific supply chain cannot be reflected, the accounting result is rough, timeliness is poor, the accurate management requirement cannot be met, and again, at a retirement recovery aspect, the existing data are difficult to trace back the specific recovery process of retired power batteries, so that closed-loop management is broken, and finally, at an application level, the existing method is limited to post-verification and report of carbon footprints, and lack of quantitative simulation of a carbon hot links and the emission reduction path and collaborative optimization capability upstream and downstream of a supply chain, so that the carbon management is difficult to effectively guide actual production and emission reduction decision. Therefore, developing a power battery carbon footprint management method capable of achieving reliable data acquisition, dynamic accurate accounting, full life cycle and intelligent collaborative optimization has become a problem to be solved in the art. Disclosure of Invention Aiming at the defects in the prior art, the invention provides a power battery carbon footprint management method and system. In order to achieve the aim, in a first aspect, the invention provides a power battery carbon footprint management method, which comprises the steps of determining a full life cycle of a power battery, wherein the full life cycle comprises four links of ore exploitation, transportation links and power battery use and retirement recovery, deploying a multi-source data acquisition device in the four links of the full life cycle, cleaning and formatting acquired multi-source data, uploading the multi-source data to a blockchain network for verification, calculating a carbon footprint of the full life cycle of the power battery according to the multi-source data of the blockchain network for verification through a dynamic carbon emission factor library and a mixed accounting model, analyzing the calculated carbon footprint to identify a high-carbon link, and generating a collaborative optimization strategy through simulating a emission reduction scene. The invention ensures the comprehensiveness and credibility of the carbon data through the multi-source data acquisition and blockchain technology, improves the calculation accuracy of the carbon footprint through the dynamic carbon emission factor library and the mixed calculation model, and can generate a collaborative optimization strategy to guide the actual production and emission reduction decision. Optionally, the collecting multi-source data of four major links in the whole life cycle, and uploading the multi-source data to a blockchain network for evidence storage after cleaning and formatting the multi-source data, including the following steps: disposing a multi-source data acquisition device at four major links of the full life cycle for acquiring the multi-source data of corresponding links; And cleaning and formatting the multi-source data through edge computing equipment, and uploading the multi-source data to a blockchain network for certification. Optionally, the multi-source data of the raw material obtaining link at least comprises the load, the driving mileage and the energy consumption of the mining transportation equipment, the energy consumption of the mining excavating equipment, the energy consumption of the ore processing and the outsourcing material consumption, the multi-source data of the power battery manufacturing link at least comprises the energy consumption, the outsourcing material consumption and the power battery code of the power battery manufacturing, the multi-source data of the power battery using link at least comprises the charging electric quantity and the electric energy source, and the multi-source data of the retired recovery link at least comprises the energy consumption, the outsourcing material consumption, the power battery code, the production date and the retired time. Optionally, an RFID tag containing the power battery code, the production date and the retired time of the power battery is stuck on the outer package of the retired power battery, and inf