Carbon footprint accounting method, device and equipment of electric drive system and storage medium

Abstract

The invention discloses an electric drive system carbon footprint accounting method, device and equipment and a storage medium, and relates to the technical field of electric vehicle product carbon footprint accounting, and the electric drive system carbon footprint accounting method comprises the steps: determining a carbon footprint accounting boundary according to the carbon footprint accounting purpose of an electric drive system, according to the carbon footprint accounting boundary, determining a stage required to be counted by carbon footprint accounting; collecting data of each stage, and performing distribution according to a production line and a corresponding produced product type in a production and manufacturing stage so as to determine list data of unit products; calculating the carbon footprint of each stage according to the data of each stage in the life cycle and the carbon emission factor; and summarizing the carbon footprint of each stage to calculate the carbon footprint of the electric drive system. The carbon footprint of the electric driving system can be accurately and objectively evaluated by collecting, accepting, allocating and calculating data in each stage of the life cycle of the electric driving system assembly of the electric vehicle.

Description

Technical Field

[0001] The present application relates to the technical field of carbon footprint accounting for electric vehicle products, and specifically to a carbon footprint accounting method, device, equipment and storage medium for an electric drive system. Background Art

[0002] With the global climate change, low-carbon development has become an important trend in the automotive industry. The market has already put forward requirements on the carbon footprint of power battery products, which may be expanded to other products in the future.

[0003] The electric drive system is the core component of electric vehicles, and its carbon footprint level directly affects the environmental performance of the entire vehicle. Conducting research on the carbon footprint of the electric drive system can help companies analyze the carbon footprint distribution of the electric drive system at each stage of its life cycle, support the low-carbon design and development of the electric drive system, and is of great significance to energy conservation and emission reduction of electric vehicles.

[0004] However, the existing product carbon footprint evaluation methods are mainly theoretical, and only provide a theoretical framework. There is a lack of practical and operational methods for defining system boundaries, collecting inventory data, and reasonably allocating data, making it difficult for companies to implement. Moreover, there is currently no carbon footprint evaluation method for electric drive systems, which mainly focuses on complete vehicles and power battery products. Summary of the invention

[0005] The present application provides a carbon footprint accounting method, device, equipment and storage medium for an electric drive system, which can accurately and objectively evaluate the carbon footprint of an electric drive system by collecting, selecting and allocating data at various stages of the life cycle of an electric vehicle's electric drive system assembly.

[0006] In a first aspect, an embodiment of the present application provides a method for calculating the carbon footprint of an electric drive system, the method comprising:

[0007] Determine the carbon footprint accounting boundary according to the carbon footprint accounting purpose of the electric drive system, and determine the statistical stages required for carbon footprint accounting according to the carbon footprint accounting boundary;

[0008] Collect data at each stage, including allocation according to production lines and corresponding product types in the manufacturing stage to determine the inventory data of unit products;

[0009] Calculate the carbon footprint of each stage based on the data of each stage in the life cycle and the carbon emission factor;

[0010] The carbon footprints of each stage are aggregated to calculate the carbon footprint of the electric drive system.

[0011] In combination with the first aspect, in one implementation, the allocation in the manufacturing stage according to the production line and the corresponding product type to determine the inventory data of the unit product includes:

[0012] If a single production line produces only a single product, or multiple production lines produce only a single product, the inventory data related to the production line does not need to be allocated and is included in the product;

[0013] If the inventory data of the production unit products can be accurately counted, no allocation is necessary;

[0014] If a single production line produces multiple types of products, the allocation is based on the physical characteristics of the products, including mass, energy and / or volume;

[0015] If a single production line produces multiple types of products and there are large technical differences in the types of products produced, the weight of each product shall be calculated according to the equipment power and production rhythm of each production process, and the weight shall be allocated according to the weight;

[0016] If multiple production lines produce multiple types of products, and if there are significant technical differences in the types of products output, the weight of each product is calculated according to the equipment power and production rhythm of each production process, and the products are allocated according to the weight. If there are no significant technical differences in the types of products output, the products are allocated according to their physical properties, which include mass, energy and / or volume.

[0017] In combination with the first aspect, in one implementation, a combination selection is made among the raw material acquisition stage, the production and manufacturing stage, the transportation stage, and the waste recycling stage according to the carbon footprint accounting boundary.

[0018] In combination with the first aspect, in one implementation, the step of determining a carbon footprint calculation boundary according to the carbon footprint calculation purpose of the electric drive system, and determining the statistics required for the carbon footprint calculation according to the carbon footprint calculation boundary includes:

[0019] When used to obtain carbon footprint data for electric drive system components and for carbon management purposes, the cradle-to-gate accounting boundary is adopted, including the raw material acquisition stage and the production and manufacturing stage;

[0020] When used to evaluate the carbon footprint level of the electric drive system assembly throughout its life cycle, the cradle-to-grave accounting boundary is adopted, including the raw material acquisition stage, the manufacturing stage, the transportation stage, and the waste recycling stage;

[0021] When used to evaluate the manufacturing level of an electric drive product supply chain, a gate-to-gate accounting boundary is used, including the manufacturing stage.

[0022] In combination with the first aspect, in one implementation, in the raw material acquisition stage, according to the electric drive system assembly part number, the material data details are exported from the automobile material data system, and the electric drive system material list is compiled;

[0023] For the manufacturing stage, the electric drive system manufacturing process is decomposed step by step until the raw material acquisition stage;

[0024] For the transportation stage, the transportation method, transportation distance and product weight of the electric drive assembly products from the production plant to the final assembly plant are collected;

[0025] For the waste recycling stage, simulation method is used to collect data for each process of the waste recycling stage. The waste recycling stage includes total component decomposition, sorting, cleaning, crushing and smelting recovery processes.

[0026] In combination with the first aspect, in one embodiment, for the raw material acquisition stage, the supply chain raw material input data is collected through a data collection form, and the auxiliary material input and loss data during the raw material input process are obtained to calculate the actual raw material input data.

[0027] In combination with the first aspect, in one embodiment, during the raw material acquisition stage, data with carbon emission factors that are difficult to count and / or difficult to determine are discarded, and when calculating the carbon footprint of the raw material acquisition stage, the average carbon emission factor of other materials in the raw material acquisition stage is used to replace the discarded part, wherein the total weight of the discarded part does not exceed 3% of the total weight of the electric drive system.

[0028] In a second aspect, an embodiment of the present application provides a carbon footprint calculation device for an electric drive system, the carbon footprint calculation device for an electric drive system comprising:

[0029] An analysis module, which determines a carbon footprint accounting boundary according to the carbon footprint accounting purpose of the electric drive system, and determines the statistical stages required for carbon footprint accounting according to the carbon footprint accounting boundary;

[0030] The collection module is used to collect data at each stage. In the manufacturing stage, the data is allocated according to the production line and the corresponding product type to determine the inventory data of the unit product;

[0031] A calculation module calculates the carbon footprint of each stage according to the data of each stage in the life cycle and the carbon emission factor. The calculation module is also used to summarize the carbon footprint of each stage to calculate the carbon footprint of the electric drive system.

[0032] In a third aspect, an embodiment of the present application provides an electric drive system carbon footprint accounting device, which includes a processor, a memory, and an electric drive system carbon footprint accounting program stored in the memory and executable by the processor, wherein when the electric drive system carbon footprint accounting program is executed by the processor, the steps of the above-mentioned electric drive system carbon footprint accounting method are implemented.

[0033] In a fourth aspect, a computer-readable storage medium stores an electric drive system carbon footprint accounting program, wherein when the electric drive system carbon footprint accounting program is executed by a processor, the steps of the above-mentioned electric drive system carbon footprint accounting method are implemented.

[0034] The beneficial effects brought by the technical solution provided by the embodiment of the present application include at least:

[0035] The electric drive system carbon footprint accounting method in this application is based on the method of collecting data from the automotive material data system, which can greatly reduce the collection workload and improve the efficiency of data collection; for the allocation of carbon footprint data, it is allocated according to the production line and the corresponding product type during the manufacturing stage, and the various combinations of production lines and their products are analyzed, and specific allocation rules are given to facilitate data collection and allocation. In addition, a selection rule is also given for the raw material acquisition stage, and the weight of the missing part is calculated based on the average carbon footprint level of the remaining part. In comparison, the processing method of this application is more reasonable and can improve the accuracy of carbon footprint accounting. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 This is a flow chart of an embodiment of a method for calculating carbon footprint of an electric drive system of the present application;

[0037] Figure 2 A schematic diagram of the process decomposition of the electric drive system of this application;

[0038] Figure 3 This is a structural block diagram of an embodiment of a carbon footprint calculation device for an electric drive system of the present application;

[0039] Figure 4 This is a schematic diagram of the hardware structure of the electric drive system carbon footprint accounting device involved in the embodiment of the present application. DETAILED DESCRIPTION

[0040] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0041] In order to make the objectives, technical solutions and advantages of the present application clearer, the implementation methods of the present application will be further described in detail below with reference to the accompanying drawings.

[0042] In a first aspect, an embodiment of the present application provides a method for calculating the carbon footprint of an electric drive system.

[0043] In one embodiment, referring to Figure 1 , Figure 1 This is a flow chart of an embodiment of the electric drive system carbon footprint calculation method of the present application. Figure 1 As shown in the figure, the carbon footprint accounting method of the electric drive system includes:

[0044] S1. Determine the carbon footprint accounting boundary according to the carbon footprint accounting purpose of the electric drive system, and determine the statistical stages required for carbon footprint accounting according to the carbon footprint accounting boundary;

[0045] It is worth noting that the carbon footprint accounting boundaries mainly include cradle to gate, cradle to grave and gate to gate accounting boundaries. In this embodiment, a combination selection is made in the raw material acquisition stage, the manufacturing stage, the transportation stage and the waste recycling stage according to the carbon footprint accounting boundaries.

[0046] Specifically, when vehicle manufacturers are used to obtain carbon footprint data of electric drive system components and for carbon management purposes, a cradle-to-gate accounting boundary is adopted, including the raw material acquisition stage and the production and manufacturing stage, so as to exchange carbon footprint information with downstream products.

[0047] When evaluating the carbon footprint level of the electric drive system assembly over its entire life cycle, the cradle-to-grave accounting boundary is adopted, including the raw material acquisition stage, production and manufacturing stage, transportation stage, and waste recycling stage, so as to assess the impact of the electric drive system on the environment over its entire life cycle.

[0048] When evaluating the production and manufacturing level of a company in the supply chain of electric drive products, the gate-to-gate accounting boundary is used, including the production and manufacturing stage, to facilitate the assessment of the environmental impact of the company's production and manufacturing process.

[0049] It should be noted that the accounting boundary does not include the following links: the production and manufacturing of factories, equipment and other facilities; the production of packaging materials; transportation within the production plant; land use; auxiliary inputs that are not directly related to the production of electric drive systems, such as employee travel, office lighting, etc.

[0050] S2. Collect data at each stage, where the data is allocated according to the production line and the corresponding product type to determine the inventory data of the unit product;

[0051] It is worth noting that the various stages in step S2 refer to the stages corresponding to the determination of the carbon footprint accounting boundary.

[0052] The following is an introduction to how to collect materials during the raw material acquisition stage, production and manufacturing stage, transportation stage, and waste recycling stage.

[0053] Data collection method for raw material acquisition stage:

[0054] The data of the production and manufacturing stage of raw materials involves the process from mining to material preparation. There are many types of materials and the data collection is complicated. If all the data are collected, it will require a lot of manpower and energy, which is not feasible. At present, the industry has a corresponding carbon emission factor database, which contains a large number of data sets such as materials, energy, and processing processes.

[0055] There are two main ways to obtain raw material usage data in this application:

[0056] Method 1: Taking into account operability and convenience, in the carbon footprint calculation of electric drive system products, the database data is directly referenced from the mining to the material preparation process of raw materials, and the inventory data collection at this stage is not carried out.

[0057] Specifically, in this embodiment, according to the electric drive system assembly part number, the material data details reported by the supplier are exported from the CAMDS (China Automotive Material Data System) system to form the electric drive system material list. For those that are not filled in in a standardized manner by the supplier, the material information is corrected and unified. Some materials, such as coatings, have a very low weight ratio (<0.02kg), and are reasonably discarded.

[0058] Method 2: Collect the raw material input data of the supply chain through data collection forms or online digital systems, and obtain the auxiliary material input and loss data during the raw material input process, so as to calculate the accurate data of the actual raw material input. Considering the confidentiality of some companies' formulas and the difficulty of data collection, such as surface spraying, electroplating, etc., which are small and difficult to measure, the data of these materials can be discarded, and the total weight of the discarded materials shall not exceed 3% of the total weight. In order to ensure mass balance, the missing materials are replaced by the total average carbon emission factor to improve the accuracy of the carbon footprint calculation results.

[0059] The data collection of the raw material acquisition stage is summarized as follows:

[0060] Material Name Material Weight unit Data Source steel 50.81 kg CAMDS System Cast aluminum alloy 22.02 kg CAMDS System copper 8.87 kg CAMDS System Aluminum and aluminum alloys 6.62 kg CAMDS System cast iron 3.49 kg CAMDS System Thermoplastics 1.3 kg CAMDS System Deformed aluminum alloy 0.46 kg CAMDS System rubber 0.45 kg CAMDS System ceramics 0.33 kg CAMDS System coating 0.19 kg CAMDS System Fabric 0.14 kg CAMDS System Other substances 2.32 kg CAMDS System

[0061] The main materials of the electric drive system weigh 94.68kg, and other materials (coatings, lubricants, electronic devices, adhesives, etc.) weigh 2.32kg, accounting for 2.4% of the total weight of the electric drive system, which meets the 3% cutoff rule and is discarded. When calculating the carbon footprint of the raw materials stage, the average carbon emission factor of other materials is used to replace the discarded part.

[0062] Data collection methods in the manufacturing stage:

[0063] Decompose the production and manufacturing process of the electric drive system step by step until the raw material input stage. Collect the industry chain inventory data through industry chain surveys, on-site data collection, or online digital systems. The online digital system is linked to the EBOM platform of the vehicle enterprise. The OEM generates the industry chain carbon footprint inventory data collection task and sends it to the first-tier supplier. The first-tier supplier further sends the task to the second-tier supplier according to the production and manufacturing process, and so on, until the raw materials.

[0064] like Figure 2 As shown, the gate-to-gate inventory data of suppliers at all levels of the industrial chain are collected through survey forms. The collection content includes inventory data such as process links, raw materials, process auxiliary materials, energy consumption (electricity, heat, natural gas, etc.), greenhouse gas release, and greenhouse gas escape. The proportion of material transfer and packaging in the production process is relatively low and difficult to measure, so they are not included in the calculation. The energy consumption data acquisition methods include but are not limited to the data readings of energy monitoring equipment such as equipment / factory electricity meters, gas meters, and water meters, purchased energy, gas records, and other reasonable methods. This part of the data should be counted as the average level of stable production for ≥3 months.

[0065] Due to the complexity of actual production and manufacturing, there are complex situations such as the same production line producing different products and multiple production lines producing multiple products. It is necessary to allocate the inventory data of each process production and manufacturing process. The specific data allocation rules are as follows:

[0066] a) If a single production line produces only a single product, or multiple production lines produce only a single product, the inventory data related to the production line does not need to be allocated and is included in the product. 产品 =∑T i / N;T 产品 is the inventory data of unit products, ∑T i is the sum of the inventory data of each production process during the statistical period, and N is the number of products produced during the statistical period;

[0067] b) If the inventory data of production units can be accurately counted, no allocation is required. 产品 =∑T i ; T 产品 is the inventory data of unit products, ∑T i It is the sum of the inventory data of each production process of the product produced during the statistical period;

[0068] c) If a single production line produces multiple types of products, the allocation shall be made based on the physical characteristics of the products. Physical characteristics include mass, energy, volume, etc. When making actual allocations, the physical characteristics with the highest correlation with the inventory data shall be selected for allocation. 产品 =∑T i *M 产品 / ∑M k ; T 产品 is the inventory data of unit products, ∑T i M is the sum of the data of the production process list of the product produced during the statistical period. 产品 is the sum of a physical property of the product during the statistical period; ∑M k It is the sum of the physical properties of all products produced by the production line during the statistical period;

[0069] d) If a single production line produces multiple types of products and there are large technical differences in the types of products produced, the weight of each product can be calculated according to the equipment power and production rhythm of each production process, and the weights can be allocated according to the weights. 产品 =∑T k，i *∑(P 产品，i *T 产品，i ) / ∑(P k，i *T k，i ), T 产品 is the inventory data of unit products, ∑T k，i P is the sum of the production process list data of all products produced by the production line during the statistical period. 产品，i The power of the equipment to produce this product, T 产品，i The production rate of the equipment that produces the product; k，i is the power of the equipment producing the kth product, T k，i The production cycle for producing the kth product;

[0070] e) If multiple production lines produce multiple types of products, and if there are no major technical differences in the types of products produced, allocation shall be made based on the physical characteristics of the products, including mass, energy, volume, etc. In actual allocation, the physical characteristics with the highest correlation with the inventory data shall be selected for allocation; if there are major technical differences in the types of products produced, the weight of each product can be calculated according to the equipment power and production rhythm of each production process, and allocation shall be made based on the weight. The allocation method is as shown above;

[0071] f) When allocating life cycle inventory data for different products, the conservation of total matter and energy must be ensured.

[0072] Obviously, through the above rules, it is possible to achieve scientific and reasonable allocation of inventory data in complex production processes. The inventory data acquisition during allocation is obtainable, complete, non-repetitive, and has strong operability.

[0073] The inventory data collection for the manufacturing stage is summarized as follows:

[0074]

[0075] Data collection methods for the transportation phase:

[0076] Collect the transportation method, transportation distance, product weight, etc. of the electric drive assembly products from the production plant to the final assembly plant, and record the transportation from the electric drive production plant to the vehicle assembly. If the same product is delivered to different vehicle assembly plants, count them separately and make a weighted average based on the number of products. If the transportation method and distance are not fixed, count the average level for ≥3 months. The transportation stage data can also be collected through the online digital logistics system to count the transportation data of each semi-finished product transferred to the downstream.

[0077]

[0078] Data collection method for waste recovery stage:

[0079] At present, most electric drive systems have not reached the end of their service life, and there is no data on the waste recycling stage. In actual operation, simulation is used to collect data. The waste recycling stage includes processes such as total component decomposition, sorting, cleaning, crushing, and smelting. The process is simulated for the electric drive system assembly, and relevant inventory data is collected for substitution, which is explained in the product carbon footprint evaluation report.

[0080] The data collection of the waste recycling stage inventory is summarized as follows:

[0081]

[0082] S3. Calculate the carbon footprint of each stage based on the data of each stage in the life cycle and the carbon emission factor;

[0083] The carbon footprint calculation process at the raw material stage is as follows:

[0084] First, match the material carbon emission factors in the CALCD database according to the material list data collected in step S2. Discard other substances and use the average value to supplement the discarded parts. Use the following formula to calculate the carbon footprint of the raw material stage:

[0085] C m =∑Mi *CEF 1 i

[0086] C m is the carbon footprint of the raw material production stage, in kgCO 2 e;

[0087] M i is the weight of the i-th material constituting the electric drive system assembly, in kg;

[0088] CEF 1 i is the carbon emission factor of the corresponding material, in kgCO 2 e / kg.

[0089] The carbon footprint calculation results of the material stage are as follows:

[0090]

[0091]

[0092] The carbon footprint calculation process in the production stage is as follows:

[0093] According to the inventory data of each process production stage collected in step S2, the corresponding carbon emission factors in the CALCD database are matched. Both basic energy and greenhouse gases can be obtained in the database, and the carbon footprint of the production stage is calculated using the following formula:

[0094] C p =C p定子 +C p转子 +C p壳体 +C p减速器 +C p控制器 +C p其他 +C p组装

[0095] C pj =∑E 1 i *CEF 2 i +∑E 1 i *CEF 3 i +M co2

[0096] Among them, C p is the carbon footprint of the electric drive system production phase, in kgCO 2 e, including the carbon footprint of stator production C p定子 , Rotor production carbon footprint C p转子 、Shell production carbon footprint C p壳体, Carbon footprint of reducer production C p减速器 , Controller production carbon footprint C p控制器 、Other parts production carbon footprint C p其他 , Carbon footprint of assembly process C p组装 ;

[0097] C pj C p定子 , C p转子 , C p壳体 , C p减速器 , C p控制器 , C p其他 , and C p组装 One of;

[0098] E 1 i The i-th energy consumption in the production process of electric drive system components, in units of L or Kwh or m3, etc.;

[0099] CEF 2 i is the carbon emission factor corresponding to the production of the i-th energy source, in kgCO 2 e / L or kgCO 2 e / Kwh or kgCO 2 e / m 3 wait;

[0100] CEF 3 i is the greenhouse gas emissions per unit of energy source i, in kgCO 2 e / L or kgCO 2 e / Kwh or kgCO 2 e / m 3 wait;

[0101] M co2 The amount of greenhouse gas emissions and releases during the production of electric drive system components, in kgCO 2 e.

[0102] The carbon footprint calculation for the manufacturing stage is as follows:

[0103]

[0104]

[0105] The carbon footprint calculation process for the transportation stage is as follows:

[0106] According to the transport stage inventory data collected in step S2, the carbon footprint of road vehicle transportation process adopts industry research data. This embodiment uses heavy gasoline train transportation, and the carbon emission factor is 0.104kgCO 2e / t*km. The following formula is used to calculate the carbon footprint of the transportation stage:

[0107] C t =∑L i *CEF 4 i *M

[0108] Among them, C t is the carbon footprint of the electric drive system during transportation, L i CEF is the transportation distance of the i-th mode of transportation from the completion of electric drive manufacturing to the assembly of the vehicle, 4 i is the carbon emission factor of the i-th mode of transportation; M is the weight of the electric drive assembly.

[0109] The carbon footprint calculation for the manufacturing stage is as follows:

[0110]

[0111] The carbon footprint calculation process for the recycling stage is as follows:

[0112] The calculation method of the carbon footprint Cr in the waste recycling stage is similar to that in the production stage. According to the recycling stage inventory data collected in step S2, the corresponding carbon emission factors in the CALCD database are matched. Both basic energy and greenhouse gases can be obtained in the database, and the carbon footprint of the recycling stage is calculated using the following formula:

[0113] C ri =∑E 2 i *CEF 2 i +∑E 2 i *CEF 3 i +M co2

[0114] Among them, C r is the carbon footprint of the electric drive system during the recycling phase, in kgCO 2 e, C ri For C pj The carbon footprint of each component in the corresponding recycling stage;

[0115] E 2 i is the i-th energy consumption in the recycling process of electric drive system components, in L or Kwh or m 3 wait;

[0116] CEF 2 i is the carbon emission factor corresponding to the production of the i-th energy source, in kgCO 2e / L or kgCO 2 e / Kwh or kgCO 2 e / m 3 wait;

[0117] CEF 3 i is the greenhouse gas emissions per unit of energy source i, in kgCO 2 e / L or kgCO 2 e / Kwh or kgCO 2 e / m 3 wait;

[0118] M co2 is the amount of greenhouse gas emissions and releases during the recycling of electric drive system components, in kgCO 2 e.

[0119] The carbon footprint calculation results of the recycling stage are as follows:

[0120]

[0121] Specifically, the carbon footprint of the electric drive system assembly in this embodiment is 793.06 kgCO 2 e, of which the raw material acquisition stage accounts for 87.9%, the manufacturing stage accounts for 6.9%, the transportation stage accounts for 2%, and the waste recycling stage accounts for 3.2%.

[0122] S4. Summarize the carbon footprints of each stage to calculate the carbon footprint of the electric drive system.

[0123] It is understandable that the carbon footprint of each stage can be calculated through step S3, and then the carbon footprint of the electric drive system can be calculated according to the specific carbon footprint calculation boundary.

[0124] For example, if the calculation boundary is from cradle to gate, then

[0125] C total =C m +C p ;

[0126] If the accounting boundary is the entire life cycle, then

[0127] C total =C m +C p +C t +C r , where C total Carbon footprint of the electric drive system.

[0128] In summary, the electric drive system carbon footprint accounting method in this application, which is based on the method of collecting data from the automotive material data system, can greatly reduce the collection workload and improve data collection efficiency; for carbon footprint data allocation, it is allocated according to the production line and the corresponding product type during the manufacturing stage, and the various combinations of production lines and their products are analyzed, and specific allocation rules are given to facilitate data collection and allocation. In addition, a trade-off rule is also given for the raw material acquisition stage, and the weight of the missing part is calculated based on the average carbon footprint level of the remaining part. In comparison, the processing method of this application is more reasonable and can improve the accuracy of carbon footprint accounting.

[0129] In a second aspect, an embodiment of the present application also provides a carbon footprint accounting device for an electric drive system.

[0130] In one embodiment, referring to Figure 3 , Figure 3 This is a functional module diagram of an embodiment of the electric drive system carbon footprint calculation device of the present application. Figure 3 As shown, the electric drive system carbon footprint accounting device includes an analysis module, a collection module and a calculation module.

[0131] The analysis module determines the carbon footprint accounting boundary according to the carbon footprint accounting purpose of the electric drive system, and determines the statistical stage required for the carbon footprint accounting according to the carbon footprint accounting boundary;

[0132] The collection module is used to collect data at each stage. In the manufacturing stage, the data is allocated according to the production line and the corresponding product type to determine the inventory data of the unit product;

[0133] A calculation module calculates the carbon footprint of each stage according to the data of each stage in the life cycle and the carbon emission factor. The calculation module is also used to summarize the carbon footprint of each stage to calculate the carbon footprint of the electric drive system.

[0134] Furthermore, in one embodiment, the collection module allocates according to the production line and the corresponding product type during the manufacturing stage to determine the inventory data of the unit product, including:

[0135] If a single production line produces only a single product, or multiple production lines produce only a single product, the inventory data related to the production line does not need to be allocated and is included in the product;

[0136] If the inventory data of the production unit products can be accurately counted, no allocation is necessary;

[0137] If a single production line produces multiple types of products, the allocation is based on the physical characteristics of the products, including mass, energy and / or volume;

[0138] If a single production line produces multiple types of products and there are large technical differences in the types of products produced, the weight of each product shall be calculated according to the equipment power and production rhythm of each production process, and the weight shall be allocated according to the weight;

[0139] If multiple production lines produce multiple types of products, and if there are significant technical differences in the types of products output, the weight of each product is calculated according to the equipment power and production rhythm of each production process, and the products are allocated according to the weight. If there are no significant technical differences in the types of products output, the products are allocated according to their physical properties, which include mass, energy and / or volume.

[0140] Furthermore, in one embodiment, the analysis module makes a combination selection among the raw material acquisition stage, the production and manufacturing stage, the transportation stage and the waste recycling stage according to the carbon footprint accounting boundary.

[0141] Furthermore, in one embodiment, the collection module determines the carbon footprint calculation boundary according to the carbon footprint calculation purpose of the electric drive system, and determines the statistical stages required for carbon footprint calculation according to the carbon footprint calculation boundary, including:

[0142] When used to obtain carbon footprint data for electric drive system components and for carbon management purposes, the cradle-to-gate accounting boundary is adopted, including the raw material acquisition stage and the production and manufacturing stage;

[0143] When used to evaluate the carbon footprint level of the electric drive system assembly throughout its life cycle, the cradle-to-grave accounting boundary is adopted, including the raw material acquisition stage, the manufacturing stage, the transportation stage, and the waste recycling stage;

[0144] When used to evaluate the manufacturing level of an electric drive product supply chain, a gate-to-gate accounting boundary is used, including the manufacturing stage.

[0145] Furthermore, in one embodiment, the acquisition module is used to:

[0146] In the raw material acquisition stage, according to the electric drive system assembly part number, the material data details are exported from the automotive material data system to form the electric drive system material list;

[0147] For the manufacturing stage, the electric drive system manufacturing process is decomposed step by step until the raw material acquisition stage;

[0148] For the transportation stage, the transportation method, transportation distance and product weight of the electric drive assembly products from the production plant to the final assembly plant are collected;

[0149] For the waste recycling stage, simulation method is used to collect data for each process of the waste recycling stage. The waste recycling stage includes total component decomposition, sorting, cleaning, crushing and smelting recovery processes.

[0150] Furthermore, in one embodiment, the acquisition module is also used for:

[0151] For the raw material acquisition stage, the supply chain raw material input data is collected through the data collection form, and the auxiliary material input and loss data during the raw material input process are obtained to calculate the actual raw material input data.

[0152] Furthermore, in one embodiment, the collection module is used to discard data that is difficult to count and / or difficult to determine the carbon emission factor during the raw material acquisition stage, and the calculation module is used to use the average carbon emission factor of other materials in the raw material acquisition stage to replace the discarded part when calculating the carbon footprint of the raw material acquisition stage, wherein the total weight of the discarded part does not exceed 3% of the total weight of the electric drive system.

[0153] Among them, the functional implementation of each module in the above-mentioned electric drive system carbon footprint accounting device corresponds to the various steps in the above-mentioned electric drive system carbon footprint accounting method embodiment, and its functions and implementation processes will not be repeated here one by one.

[0154] In a third aspect, an embodiment of the present application provides a carbon footprint accounting device for an electric drive system. The carbon footprint accounting device for an electric drive system may be a personal computer (PC), a laptop computer, a server, or other device with data processing capabilities.

[0155] Reference Figure 4 , Figure 4 The schematic diagram of the hardware structure of the electric drive system carbon footprint calculation device involved in the embodiment of the present application is shown in FIG. In the embodiment of the present application, the electric drive system carbon footprint calculation device may include a processor, a memory, a communication interface, and a communication bus.

[0156] The communication bus may be of any type and is used to interconnect the processor, the memory, and the communication interface.

[0157] The communication interface includes input / output (I / O) interface, physical interface and logical interface, etc., which are used to realize the interconnection of devices inside the electric drive system carbon footprint accounting device, and the interface used to realize the interconnection between the electric drive system carbon footprint accounting device and other devices (such as other computing devices or user devices). The physical interface can be an Ethernet interface, a fiber optic interface, an ATM interface, etc.; the user device can be a display, a keyboard, etc.

[0158] The memory can be various types of storage media, such as random access memory (RAM), read-only memory (ROM), non-volatile RAM (NVRAM), flash memory, optical storage, hard disk, programmable ROM (PROM), erasable PROM (EPROM), electrically erasable PROM (EEPROM), etc.

[0159] The processor may be a general-purpose processor, which may call the electric drive system carbon footprint accounting program stored in the memory and execute the electric drive system carbon footprint accounting method provided in the embodiment of the present application. For example, the general-purpose processor may be a central processing unit (CPU). The method executed when the electric drive system carbon footprint accounting program is called may refer to the various embodiments of the electric drive system carbon footprint accounting method of the present application, which will not be repeated here.

[0160] Those skilled in the art will understand that Figure 4 The hardware structure shown in the figure does not constitute a limitation on the present application, and may include more or less components than shown in the figure, or combine certain components, or arrange the components differently.

[0161] In a fourth aspect, an embodiment of the present application also provides a readable storage medium.

[0162] The readable storage medium of the present application stores an electric drive system carbon footprint accounting program, wherein when the electric drive system carbon footprint accounting program is executed by a processor, the steps of the electric drive system carbon footprint accounting method as described above are implemented.

[0163] Among them, the method implemented when the electric drive system carbon footprint accounting program is executed can refer to the various embodiments of the electric drive system carbon footprint accounting method of the present application, and will not be repeated here.

[0164] It should be noted that the serial numbers of the above-mentioned embodiments of the present application are only for description and do not represent the advantages or disadvantages of the embodiments.

[0165] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application is essentially or the part that contributes to the prior art can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, disk, CD) as described above, and includes a number of instructions for a terminal device to execute the methods described in each embodiment of the present application.

[0166] The terms "including" and "having" and any variations thereof in the specification and claims of this application and the above-mentioned drawings are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally includes steps or units that are not listed, or optionally includes other steps or units inherent to these processes, methods, products or devices. The terms "first", "second" and "third" are used to distinguish different objects, etc., and do not represent a sequence, nor do they limit "first", "second" and "third" to different types.

[0167] In the description of the embodiments of the present application, "exemplary", "for example" or "for example" are used to indicate examples, illustrations or descriptions. Any embodiment or design described as "exemplary", "for example" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "exemplary", "for example" or "for example" is intended to present related concepts in a specific way.

[0168] In the description of the embodiments of the present application, unless otherwise specified, “ / ” means or, for example, A / B can mean A or B; the “and / or” in the text is merely a description of the association relationship of associated objects, indicating that three relationships may exist, for example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone. In addition, in the description of the embodiments of the present application, “multiple” refers to two or more than two.

[0169] In some processes described in the embodiments of the present application, multiple operations or steps that appear in a specific order are included, but it should be understood that these operations or steps may not be executed in the order in which they appear in the embodiments of the present application or in parallel, and the sequence number of the operation is only used to distinguish the different operations, and the sequence number itself does not represent any execution order. In addition, these processes may include more or fewer operations, and these operations or steps may be executed in sequence or in parallel, and these operations or steps may be combined.

[0170] The above are only preferred embodiments of the present application, and are not intended to limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made using the contents of the present application specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present application.

Claims

1. A method for calculating the carbon footprint of an electric drive system, characterized in that: The electric drive system carbon footprint calculation method includes: Determine the carbon footprint accounting boundary according to the carbon footprint accounting purpose of the electric drive system, and determine the statistical stages required for carbon footprint accounting according to the carbon footprint accounting boundary; Collect data at each stage, including allocation according to production lines and corresponding product types in the manufacturing stage to determine the inventory data of unit products; Calculate the carbon footprint of each stage based on the data of each stage in the life cycle and the carbon emission factor; The carbon footprints of each stage are aggregated to calculate the carbon footprint of the electric drive system.

2. The electric drive system carbon footprint calculation method according to claim 1, characterized in that: The allocation in the manufacturing stage is performed according to the production line and the corresponding product type to determine the inventory data of the unit product, including: If a single production line produces only a single product, or multiple production lines produce only a single product, the inventory data related to the production line does not need to be allocated and is included in the product; If the inventory data of the production unit products can be accurately counted, no allocation is necessary; If a single production line produces multiple types of products, the allocation is based on the physical characteristics of the products, including mass, energy and / or volume; If a single production line produces multiple types of products and there are large technical differences in the types of products produced, the weight of each product shall be calculated according to the equipment power and production rhythm of each production process, and the weight shall be allocated according to the weight; If multiple production lines produce multiple types of products, and if there are significant technical differences in the types of products output, the weight of each product is calculated according to the equipment power and production rhythm of each production process, and the products are allocated according to the weight. If there are no significant technical differences in the types of products output, the products are allocated according to their physical properties, which include mass, energy and / or volume.

3. The carbon footprint calculation method of the electric drive system according to claim 1, characterized in that: According to the carbon footprint accounting boundary, a combination of selections is made among the raw material acquisition stage, production and manufacturing stage, transportation stage, and waste recycling stage.

4. The carbon footprint calculation method of the electric drive system according to claim 3, characterized in that: The stage of determining the carbon footprint accounting boundary according to the carbon footprint accounting purpose of the electric drive system, and determining the statistics required for the carbon footprint accounting according to the carbon footprint accounting boundary, includes: When used to obtain carbon footprint data for electric drive system components and for carbon management purposes, the cradle-to-gate accounting boundary is adopted, including the raw material acquisition stage and the production and manufacturing stage; When used to evaluate the carbon footprint level of the electric drive system assembly throughout its life cycle, the cradle-to-grave accounting boundary is adopted, including the raw material acquisition stage, the manufacturing stage, the transportation stage, and the waste recycling stage; When used to evaluate the manufacturing level of an electric drive product supply chain, a gate-to-gate accounting boundary is used, including the manufacturing stage.

5. The carbon footprint calculation method of the electric drive system according to claim 3, characterized in that: In the raw material acquisition stage, according to the electric drive system assembly part number, the material data details are exported from the automotive material data system to form the electric drive system material list; For the manufacturing stage, the electric drive system manufacturing process is decomposed step by step until the raw material acquisition stage; For the transportation stage, the transportation method, transportation distance and product weight of the electric drive assembly products from the production plant to the final assembly plant are collected; For the waste recycling stage, simulation method is used to collect data for each process of the waste recycling stage. The waste recycling stage includes total component decomposition, sorting, cleaning, crushing and smelting recovery processes.

6. The carbon footprint calculation method of the electric drive system according to claim 3, characterized in that: For the raw material acquisition stage, the supply chain raw material input data is collected through the data collection form, and the auxiliary material input and loss data during the raw material input process are obtained to calculate the actual raw material input data.

7. The carbon footprint calculation method of an electric drive system according to claim 5 or 6, characterized in that: During the raw material acquisition stage, data with carbon emission factors that are difficult to count and / or difficult to determine are discarded, and when calculating the carbon footprint of the raw material acquisition stage, the average carbon emission factor of other materials in the raw material acquisition stage is used to replace the discarded part, where the total weight of the discarded part does not exceed 3% of the total weight of the electric drive system.

8. A carbon footprint calculation device for an electric drive system, characterized in that: The electric drive system carbon footprint accounting device comprises: An analysis module, which determines a carbon footprint accounting boundary according to the carbon footprint accounting purpose of the electric drive system, and determines the statistical stages required for carbon footprint accounting according to the carbon footprint accounting boundary; The collection module is used to collect data at each stage. In the manufacturing stage, the data is allocated according to the production line and the corresponding product type to determine the inventory data of the unit product; A calculation module calculates the carbon footprint of each stage according to the data of each stage in the life cycle and the carbon emission factor. The calculation module is also used to summarize the carbon footprint of each stage to calculate the carbon footprint of the electric drive system.

9. An electric drive system carbon footprint accounting device, characterized in that: The electric drive system carbon footprint accounting device includes a processor, a memory, and an electric drive system carbon footprint accounting program stored in the memory and executable by the processor, wherein when the electric drive system carbon footprint accounting program is executed by the processor, the steps of the electric drive system carbon footprint accounting method as described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores an electric drive system carbon footprint accounting program, wherein when the electric drive system carbon footprint accounting program is executed by a processor, the steps of the electric drive system carbon footprint accounting method as described in any one of claims 1 to 7 are implemented.

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