BECNU International Negative Carbon Emission Neutralization Standard Networked Electric Vehicle Carbon Neutralization Intelligent Instrument System

Abstract

The present invention relates to the technical field of carbon neutrality for connected electric vehicles, and discloses a carbon neutral intelligent instrument system for connected electric vehicles based on the BECNU international negative carbon emission neutralization standard. Among them, the system includes: a hardware terminal module, including an integrated intelligent terminal in three forms: a handheld intelligent instrument terminal, a vehicle-mounted intelligent instrument terminal, and a station pile intelligent instrument terminal; an intelligent control module, including a dedicated operating system and an intelligent chip; a software system module, including the following seven subsystems: an intelligent instrument cloud service subsystem; an intelligent driving management subsystem; a smart energy management subsystem; a carbon cycle management subsystem; an ecological value management subsystem; a road intelligent transportation subsystem; an intelligent communication subsystem. This system realizes the full life cycle management of the carbon footprint of connected electric vehicles based on the BECNU international negative carbon emission neutralization standard.

Description

Technical Field

[0001] The present invention relates to the technical field of carbon neutrality of connected electric vehicles, and particularly to a carbon neutral intelligent instrument system for connected electric vehicles based on the BECNU international negative carbon emission neutrality standard. Background Art

[0002] The emission reduction effect of electric vehicles is limited by the power grid structure. New energy vehicle products are globally leading in terms of competitiveness, and assisted driving and intelligent driving are rapidly iterating. The intelligence of connected electric vehicles converges with that of mobile communication, and the penetration rate of electric vehicles exceeds that of fuel vehicles. However, to achieve the carbon neutrality goal, a comprehensive intelligent management system is still needed to overall manage the carbon emissions throughout the vehicle life cycle. Summary of the Invention

[0003] The present invention provides a carbon neutral intelligent instrument system for connected electric vehicles based on the BECNU international negative carbon emission neutrality standard, which is used to realize the full life cycle management of the carbon footprint of connected electric vehicles based on the BECNU international negative carbon emission neutrality standard.

[0004] In a first aspect, the present invention provides a carbon neutral intelligent instrument system for connected electric vehicles based on the BECNU international negative carbon emission neutrality standard, and the system includes:

[0005] A hardware terminal module, including an integrated intelligent terminal in three forms: a handheld intelligent instrument terminal, a vehicle-mounted intelligent instrument terminal, and a charging station intelligent instrument terminal. The integrated intelligent terminal is provided with a display interface, an input / output interface, and a data acquisition device;

[0006] An intelligent control module, including a dedicated operating system and an intelligent chip, which is used to execute data processing and system management;

[0007] A software system module, including the following seven subsystems: an intelligent instrument cloud service subsystem, which is used to execute cloud services and edge computing based on C-V2X technology; an intelligent driving management subsystem, which is used to execute carbon footprint recording, metering, accounting, and certification; a smart energy management subsystem, which is used to execute the management of four modes: vehicle-battery separation and battery swapping, virtual power plant, intelligent microgrid, and simple sharing; a carbon cycle management subsystem, which is used to execute carbon footprint confirmation and carbon asset management; an ecological value management subsystem, which is used to execute the management of three business models: the basis of vehicle-battery separation and battery swapping, high-order intelligent instruments, and community sharing; a road intelligent transportation subsystem, which is used to execute terminal integration, interactive control, and vehicle-side ecological management; an intelligent communication subsystem, which is used to execute multi-dimensional interactive management of V2V, V2I, V2P, V2ESG, and V2N.

[0008] Combined with the first aspect, in the first implementation manner of the first aspect of the present invention, the intelligent instrument cloud service subsystem includes:

[0009] Intelligent instrument cloud service architecture: It is established by using the cellular vehicle-to-everything (C-V2X) network communication technology. The intelligent instrument cloud service architecture includes a cloud service layer and an edge computing layer. The cloud service layer is responsible for performing cloud computing and cloud storage tasks by the C-V2X cloud service system. The edge computing layer is responsible for performing real-time data processing tasks by the C-V2X edge computing system.

[0010] Terminal access process: After passing the security authentication, the handheld carbon neutral intelligent instrument accesses the C-V2X edge computing system to perform user portable carbon footprint data collection and processing. After passing the security authentication, the vehicle-mounted carbon neutral intelligent instrument accesses the C-V2X edge computing system to perform vehicle real-time carbon footprint data collection and processing. After passing the security authentication, the charging station carbon neutral intelligent instrument accesses the C-V2X edge computing system to perform charging facility carbon footprint data collection and processing.

[0011] Data processing process: The C-V2X edge computing system performs real-time analysis and preprocessing on the collected data. The C-V2X edge computing system transmits the processed data to the cloud service layer. The C-V2X cloud service system performs cloud computing tasks on the received data to generate carbon footprint analysis results. The C-V2X cloud service system stores the analysis results in the cloud storage system and feeds back the processing results to the corresponding intelligent instrument terminal.

[0012] Combined with the first aspect, in the second implementation manner of the first aspect of the present invention, the intelligent driving management subsystem includes:

[0013] An intelligent driving management unit, which is used for the vehicle-mounted intelligent instrument to record the carbon footprint emission data during the vehicle driving process in real time. The vehicle-mounted intelligent instrument performs the metering and accounting tasks of carbon footprint data. The vehicle-mounted intelligent instrument generates a carbon footprint verification report and a warning prompt. The vehicle-mounted intelligent instrument provides carbon footprint verification, certification, and carbon trading data information to the driver.

[0014] A data processing center, which is used for the AI computing center to process vehicle intelligent transportation mobile space data, the edge computing center to process vehicle terminal cloud system data, the cloud computing center to process energy system, carbon cycle system, and ecological value financial management data, and the road traffic system data center to process intelligent network connection information.

[0015] Combined with the first aspect, in the third implementation manner of the first aspect of the present invention, the intelligent energy management subsystem includes:

[0016] A vehicle-battery separation and replacement station management unit, which is used for the battery replacement operator to establish a battery management database to record the usage status of each battery. The battery replacement operator performs intelligent battery scheduling to ensure the battery supply of the replacement station. The intelligent instrument of the replacement station monitors the charging and discharging status of the battery. The intelligent instrument of the replacement station performs battery health status assessment.

[0017] The virtual power plant management unit is used for the virtual power plant control center to incorporate batteries, battery swapping stations, and battery banks into the distributed energy DER terminal management; the aggregation management system performs the coordinated optimization of DER terminals; the intelligent metering system performs power metering; the grid connection control system performs the grid connection operation of the wind-solar-storage-charge-discharge virtual power plant intelligent energy system;

[0018] The intelligent microgrid management unit is used for battery operators to connect battery swapping stations, battery banks, and energy storage power stations to the distributed energy DER terminals; the network control center performs the connection with the large power grid and regional power grid; the dispatching center performs the coordination of the park and community power grids; the planning system performs the intelligent management of source-network-load-storage-aggregated charging and discharging;

[0019] The simple sharing management unit is used for the charging pile intelligent meter to perform user identity authentication; the charging pile intelligent meter performs the management of shared battery usage permissions; the charging pile intelligent meter performs the control of energy storage load balance; the charging pile intelligent meter performs user billing management.

[0020] Combined with the first aspect, in the fourth implementation manner of the first aspect of the present invention, the carbon cycle management subsystem specifically performs:

[0021] Initial setting: The system controller performs the initial setting of C t +C MA +C VM +C USE +C REC +C RCF =0; establish the ID databases of vehicles, charging stations, and charging piles; C t is the carbon footprint of the cloud network digital center, C MA is the carbon footprint of material acquisition and supply, C VM is the carbon footprint of the manufacturing process of components and the whole vehicle, C USE is the carbon footprint of the charging and energy storage discharging usage process, C REC is the carbon footprint of the scrapping and recycling process, C RCF is the carbon sink credit of internationally recognized carbon removal certification;

[0022] Carbon footprint confirmation process: Confirm the digital energy center C according to the ID t ; confirm the material C according to the ID MA ; confirm the manufacturing of components and the whole vehicle C according to the ID VM ; confirm the charging and discharging usage process C according to the ID USE ; confirm the scrapping and recycling C according to the ID REC ;

[0023] Carbon Asset Management Process: Incorporate the emission reduction credits obtained from the recycling of scrapped vehicles or batteries into the owner's ID carbon emission reduction voluntary emission reduction carbon credit CCER asset pool; execute the management of carbon removal and carbon sink credits C subscribed to the BECNU international negative carbon emission neutralization standard. RCF Execute the offset operation for the inevitable carbon emissions throughout the entire life cycle of carbon neutral vehicles, carbon neutral charging stations, and carbon neutral charging piles.

[0024] Combined with the first aspect, in the fifth implementation manner of the first aspect of the present invention, the ecological value management subsystem includes the following three subsystems:

[0025] The vehicle-battery separation and battery swapping basic unit is used for the cost control center to execute the purchase cost accounting and management.

[0026] The battery management center is used for battery efficiency evaluation and optimization, battery safety monitoring, battery usage convenience management, and battery recycling management.

[0027] The maintenance cost management center is used to execute cost accounting and control.

[0028] The high-order intelligent instrument unit is used for the C-V2X management center to execute vehicle networking communication management; the V2G management center to execute vehicle-grid integration control; the CCER management center to execute carbon emission reduction quota management; the BECNU management center to execute standardized control; the system integration center to execute the intelligent integration of cloud, vehicle, energy, carbon, finance, and road.

[0029] The community sharing unit is used to execute: the V2G microgrid control center to execute the following tasks: community electricity load management, park electricity load management, and village and town electricity load management.

[0030] The virtual power plant management center is used to execute peak shaving and valley filling tasks; the cost accounting center to execute the electricity cost management of intelligent networked electric vehicles.

[0031] Combined with the first aspect, in the sixth implementation manner of the first aspect of the present invention, the road intelligent transportation subsystem includes:

[0032] The terminal integration unit is used for the OBU terminal to execute on-vehicle data collection and processing; the energy sub-unit to execute energy consumption monitoring; the ecological environment governance sub-unit to execute environmental data collection; the RSU roadside sub-unit to execute road information collection.

[0033] The interaction control unit is used for the V2V controller to execute vehicle-to-vehicle information interaction; the V2I controller to execute vehicle-to-infrastructure data interaction; the V2P controller to execute vehicle-to-pedestrian information interaction; the V2ESG controller to execute vehicle-to-energy, environment, and emission and social governance data interaction; the V2N controller to execute two-way vehicle-to-network interaction.

[0034] Vehicle-end technology industry business ecological unit, for integrated management of cloud-vehicle-energy-carbon-finance-road-connection; intelligent connected carbon neutrality industrial chain management; carbon neutrality technology standard system management.

[0035] Combined with the first aspect, in the seventh implementation manner of the first aspect of the present invention, the system further includes:

[0036] Greenhouse gas monitoring interface module, responsible for monitoring: carbon dioxide CO2 and non-carbon dioxide greenhouse gas methane CH4 monitoring interface; nitrous oxide N2O monitoring interface; hydrofluorocarbons HFCs monitoring interface; perfluorocarbons PFCs monitoring interface; sulfur hexafluoride SF6 monitoring interface; nitrogen trifluoride NF3 monitoring interface;

[0037] Ecosystem interface module, performing: environmental impact assessment interface management; social impact assessment interface management; human activity impact assessment interface management;

[0038] Intelligent terminal upgrade interface module, performing: environmental monitoring system interface management; ESG system interface management; general instrument and machine system architecture extension interface management.

[0039] Combined with the first aspect, in the eighth implementation manner of the first aspect of the present invention, the system further includes:

[0040] Vehicle carbon neutrality management module, specifically for: passenger vehicle carbon neutrality management; hybrid vehicle carbon neutrality management; fuel vehicle carbon neutrality management; motorcycle carbon neutrality management; commercial vehicle carbon neutrality management; loader carbon neutrality management; special vehicle carbon neutrality management;

[0041] Industry application extension module, specifically performing: Internet business carbon neutrality management; logistics industry carbon neutrality management; digital energy carbon neutrality management; mobile communication carbon neutrality management; industrial intelligent manufacturing carbon neutrality management; mine intelligentization carbon neutrality management.

[0042] In the technical solution provided by the present invention, a full - life - cycle carbon footprint management is realized through a quantification model, and a complete carbon emission monitoring system from material supply, manufacturing, use to recycling is established to achieve real - time recording, measurement accounting, certification and carbon label management of the carbon footprint. The purchase cost and usage cost are reduced through the vehicle - battery separation and battery - swapping mode. The efficient utilization of energy is achieved through the virtual power plant and intelligent micro - grid mode. The V2G technology is used to participate in grid regulation to achieve peak shaving and valley filling. The electricity cost is reduced through the sharing mode. The integration of seven major systems of cloud - vehicle - energy - carbon - finance - road - connection is realized, supporting multi - dimensional interactions such as V2V, V2I, V2P, V2ESG, V2N, providing multi - scenario application interfaces for business, office, home, social entertainment, etc., and realizing the deep combination of carbon neutrality and business models. It supports the carbon neutrality management of the full range of vehicle models from passenger cars to special vehicles, and further realizes the full - life - cycle management of the carbon footprint of connected electric vehicles based on the BECNU international negative carbon emission neutrality standard.

[0043] Other features and advantages of the present invention will be described in the following specification, and, in part, will be obvious from the specification, or will be understood by implementing the present invention. The objectives and other advantages of the present invention are realized and obtained by the structures specifically pointed out in the specification, claims and drawings.

[0044] To make the above - mentioned objectives, features and advantages of the present invention more obvious and understandable, the following specific preferred embodiments are given, and in conjunction with the accompanying drawings, the detailed description is as follows. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 It is a schematic diagram of an embodiment of the carbon neutral intelligent instrument system for connected electric vehicles based on the BECNU international negative carbon emission neutrality standard in an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0046] To make the objectives, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0047] The terms "including" and "having" and any variations thereof mentioned in the embodiments of the present invention are intended to cover non - exclusive inclusion. For example, a process, method, system, product or device including a series of steps or units is not limited to the listed steps or units, but may optionally further include other unlisted steps or units, or may optionally further include other steps or units inherent to these processes, methods, products or devices.

[0048] To facilitate the understanding of this embodiment, a carbon neutral intelligent instrument system for networked electric vehicles based on the BECNU international negative carbon emission neutralization standard disclosed in the embodiments of the present invention will be introduced in detail first. As Figure 1 shown, the system includes:

[0049] The hardware terminal module 101 includes an integrated intelligent terminal in three forms: a handheld intelligent instrument terminal, a vehicle-mounted intelligent instrument terminal, and a station post intelligent instrument terminal. The integrated intelligent terminal is provided with a display interface, an input / output interface, and a data acquisition device;

[0050] The intelligent control module 102 includes a dedicated operating system and an intelligent chip, and is used to execute data processing and system management;

[0051] The software system module 103 includes the following seven subsystems: an intelligent instrument cloud service subsystem, which is used to execute cloud services and edge computing based on C-V2X technology; an intelligent driving management subsystem, which is used to execute carbon footprint recording, measurement accounting, and certification; a smart energy management subsystem, which is used to execute the management of four modes: vehicle-battery separation and battery swapping, virtual power plants, intelligent microgrids, and simple sharing; a carbon cycle management subsystem, which is used to execute carbon footprint confirmation and carbon asset management; an ecological value management subsystem, which is used to execute the management of three business models: the basis of vehicle-battery separation and battery swapping, high-order intelligent instruments, and community sharing; a road intelligent transportation subsystem, which is used to execute terminal integration, interactive control, and vehicle-side ecosystem management; an intelligent communication subsystem, which is used to execute multi-dimensional interaction management of V2V, V2I, V2P, V2ESG, and V2N.

[0052] In this embodiment, the hardware terminal module 101 includes three forms: a handheld intelligent instrument terminal, a vehicle-mounted intelligent instrument terminal, and a station pile intelligent instrument terminal. Each terminal is provided with: a high-definition display interface, using an OLED touch display screen with a resolution of not less than 1920×1080; a multi-functional input / output interface, including a USB Type-C interface, a wireless communication interface, and a dedicated data interface; a multi-source data acquisition device, including a carbon emission sensor array, an energy status detector, and an environmental parameter collector. The three terminal forms are functionally divided according to the application scenarios: the handheld intelligent instrument terminal is mainly used for personal carrying to realize real-time carbon footprint query and carbon asset management; the vehicle-mounted intelligent instrument terminal is fixedly installed on the vehicle to perform carbon footprint recording and energy management during driving; the station pile intelligent instrument terminal is deployed in charging and swapping stations and charging piles to be responsible for the intelligent management and data acquisition of energy facilities. The intelligent control module 102 adopts a dual-core architecture of a dedicated operating system and an intelligent chip: the dedicated operating system is customized and developed according to the application characteristics of the carbon neutral intelligent instrument, and has real-time performance, reliability, and security; the intelligent chip adopts a dual-processor design, where the main processor is responsible for data processing and system management, and the coprocessor is specifically used for encryption calculation and security control. (1) The intelligent instrument cloud service subsystem constructs a two-layer architecture based on the cellular vehicle-to-everything (C-V2X) technology: Cloud service layer: Deploy a data center, an AI computing center, and a cloud storage center; Edge computing layer: Deploy real-time computing units at edge nodes to realize near-source data processing. (2) The intelligent driving management subsystem realizes three levels of driving management: Assisted driving layer: Real-time record of driving carbon footprint data; Intelligent driving layer: Perform carbon footprint measurement and accounting; Autonomous driving layer: Conduct carbon label certification and display. (3) The smart energy management subsystem realizes four operation modes: Battery swapping mode with vehicle-battery separation: The battery assets are uniformly managed by the battery swapping operator; Virtual power plant mode: The charging and swapping station is connected to the smart grid as a distributed energy terminal; Smart microgrid mode: Achieve coordinated optimization of power generation, grid, load, and energy storage; Simple sharing mode: Provide energy storage sharing services for community users. (4) The carbon cycle management subsystem is based on the BECNU standard and performs full-life-cycle carbon footprint management: Dynamically monitor C t (carbon footprint of the digital energy center), C MA (carbon footprint of materials), C VM (manufacturing carbon footprint), C USE (usage carbon footprint), C REC (recycling carbon footprint); Real-time calculate C RCF (carbon removal carbon sink credit) to ensure that C t + C MA + C VM + C USE + C REC + C RCFBalancing equations when = 0. (5) The ecological value management subsystem realizes three business models: the basic model of vehicle-battery separation and battery swapping: realizing value by reducing the vehicle purchase cost and maintenance cost; the high-order intelligent instrument model: realizing the integration of the cloud-vehicle-energy-carbon-finance-road system; the community sharing model: realizing peak shaving and valley filling through the V2G microgrid and reducing the electricity cost. (6) The intelligent road traffic subsystem realizes the integration of intelligent terminals and multi-dimensional interaction: integrating in-vehicle OBU terminals and roadside RSU devices; executing the coordinated control of the energy unit and the ecological environment governance unit; building a commercial ecosystem for vehicle-end technology industries. (7) The intelligent communication subsystem realizes information interaction in five dimensions: V2V: real-time data exchange between vehicles; V2I: information transmission with road infrastructure; V2P: sharing safety information with pedestrians; V2ESG: data interaction with the energy, environment and emissions, and social governance system; V2N: two-way communication with the Internet.

[0053] In a specific embodiment, the intelligent instrument cloud service subsystem includes:

[0054] Intelligent instrument cloud service architecture: established by using the cellular vehicle-to-everything (C-V2X) network communication technology, the intelligent instrument cloud service architecture includes a cloud service layer and an edge computing layer: the cloud service layer performs cloud computing and cloud storage tasks by the C-V2X cloud service system; the edge computing layer performs real-time data processing tasks by the C-V2X edge computing system;

[0055] Terminal access process: The handheld carbon neutral intelligent instrument accesses the C-V2X edge computing system after passing the security authentication, and performs user portable carbon footprint data collection and processing; the in-vehicle carbon neutral intelligent instrument accesses the C-V2X edge computing system after passing the security authentication, and performs vehicle real-time carbon footprint data collection and processing; the charging station carbon neutral intelligent instrument accesses the C-V2X edge computing system after passing the security authentication, and performs charging facility carbon footprint data collection and processing;

[0056] Data processing process: The C-V2X edge computing system performs real-time analysis and preprocessing on the collected data; the C-V2X edge computing system transmits the processed data to the cloud service layer; the C-V2X cloud service system performs cloud computing tasks on the received data to generate carbon footprint analysis results; the C-V2X cloud service system stores the analysis results in the cloud storage system and feeds back the processing results to the corresponding intelligent instrument terminal.

[0057] In this embodiment, the intelligent instrument cloud service subsystem realizes the full-process management of carbon footprint by constructing a standardized Cellular Vehicle-to-Everything (C-V2X) communication architecture. The C-V2X cloud service is deployed in the cloud and is responsible for executing cloud computing and cloud storage functions, specifically including in-depth analysis of carbon footprint data, carbon asset evaluation, intelligent scheduling decision-making, and historical data storage. The C-V2X edge computing is deployed at edge nodes and is responsible for executing real-time data processing functions, specifically including data collection, preprocessing, time series analysis, and security encryption. Handheld, vehicle-mounted, and station-mounted intelligent instrument terminals strictly follow the principles of safety, economy, intelligence, and feasibility to participate in edge computing and cloud computing services. When the terminal accesses, first, a secure channel is established through a two-way authentication mechanism, and only after successful authentication can it access the C-V2X edge computing system. The handheld intelligent instrument is responsible for collecting user personal carbon footprint data, including information such as daily transportation mode selection and energy consumption habits. The vehicle-mounted intelligent instrument is responsible for collecting real-time vehicle operation data, including information such as driving mileage, energy consumption level, and charging records. The station-mounted intelligent instrument is responsible for collecting charging facility operation data, including information such as charging power, battery status, and energy scheduling. The C-V2X edge computing system adopts a distributed architecture, and a high-performance processor is configured at the edge node to perform real-time analysis and preprocessing on the collected data. Through steps such as data cleaning, feature extraction, and time series analysis, standardized data packets are generated. The preprocessed data is transmitted to the cloud service layer through a secure encryption channel, and the AES-256-bit encryption algorithm is used to ensure the security of data transmission. After receiving the data, the cloud C-V2X service system first performs data verification and decryption, and then calls a dedicated computing module to execute in-depth analysis tasks. The analysis tasks include carbon footprint accounting, carbon asset evaluation, carbon emission reduction potential analysis, etc. All calculation processes strictly follow the BECNU international negative carbon emission neutralization standard. After the analysis results are subjected to data desensitization processing, on the one hand, they are stored in a distributed cloud storage system to form a historical database, and on the other hand, the processing results are pushed to the corresponding intelligent instrument terminal in real time through a dedicated feedback channel. The cloud storage system adopts a multi-copy backup mechanism to ensure the reliability and security of data storage. This cloud service architecture realizes the real-time processing of data through C-V2X edge computing and the in-depth analysis of data through cloud services. The two work together to form a complete carbon footprint management closed-loop. The system supports real-time data interaction based on the vehicle network, including vehicle-to-vehicle (V2V) data sharing, vehicle-to-infrastructure (V2I) information exchange, vehicle-to-person (V2P) safety reminders, vehicle-to-environment, society, and governance (V2ESG) status feedback, and vehicle-to-network (V2N) online services. Through multi-dimensional data interaction, the system realizes the deep integration of the vehicle network, energy network, and transportation network, providing complete technical support for carbon neutrality, climate neutrality, and environmental neutrality.

[0058] In a specific embodiment, the intelligent driving management subsystem includes:

[0059] An intelligent driving management unit is used to record the carbon footprint emission data during the vehicle driving process in real time by an in-vehicle intelligent instrument; the in-vehicle intelligent instrument performs the metering and accounting tasks of carbon footprint data; the in-vehicle intelligent instrument generates a carbon footprint verification report and a warning prompt; the in-vehicle intelligent instrument provides carbon footprint verification, certification, and carbon trading data information to the driver;

[0060] A data processing center is used for the AI computing center to process vehicle intelligent transportation mobile space data; the edge computing center to process vehicle terminal cloud system data; the cloud computing center to process energy system, carbon cycle system, and ecological value financing data; and the road traffic system data center to process intelligent network connection information.

[0061] In this embodiment, the intelligent driving management subsystem realizes the whole-process management of vehicle carbon footprint through the collaborative work of the intelligent driving management unit and the data processing center. The in-vehicle intelligent instrument uses a multi-source sensor array to collect carbon footprint data during the vehicle driving process in real time, including operation parameters such as vehicle speed, acceleration, energy consumption, and mileage. The sampling frequency is 100Hz to ensure the data collection accuracy. The collected data enters the carbon footprint metering and accounting module after real-time filtering and standardized preprocessing. This module strictly follows the BECNU international negative carbon emission neutralization standard to perform the accounting tasks. The accounting process adopts a hierarchical computing architecture. First, calculate the carbon emission C USE during the vehicle driving process, and then associate the carbon emission data in other stages of the vehicle life cycle, including the carbon footprint C t of the digital energy center, the carbon footprint C MA of materials, the carbon footprint C VM of parts and vehicle manufacturing, and the carbon footprint C REC, finally generate a complete carbon footprint verification report. When the carbon emissions in any stage exceed the preset threshold, the system automatically triggers an early warning mechanism and pushes early warning information to the driver through the in-vehicle display terminal. The system integrates a carbon trading data interface to obtain real-time carbon market trading data and provide carbon asset management suggestions for the driver. The data processing center adopts a distributed computing architecture and sets up four professional computing centers: The AI computing center is responsible for processing intelligent transportation mobile space data, analyzing driving behavior characteristics using deep learning algorithms, optimizing driving strategies, and realizing assisted driving, intelligent driving, and autonomous driving functions. Under the principles of safety, continuity, stability, and convenience, it liberates the driver's time, energy, and mental stress; The edge computing center is responsible for processing vehicle terminal cloud system data and uses edge intelligence algorithms to achieve near-source data processing, reducing network transmission load; The cloud computing center is responsible for processing energy system, carbon cycle system, and ecological value financial management data, executing the development tasks of intelligent cockpit application scenarios, and reserving general open system development interfaces for business, office, home, social entertainment, culture and art creation, learning and research development, education, sports, health, and quality life, etc.; The road traffic system data center is responsible for processing intelligent network connection information, analyzing traffic conditions using real-time stream computing technology, and optimizing vehicle route planning. The four computing centers share information through a high-speed data bus, and the bus bandwidth reaches 10 Gbps to ensure real-time data transmission. The system sets up a special data security module, uses blockchain technology to ensure that data is not tampered with, and uses homomorphic encryption technology to achieve privacy protection during the data sharing process. After completing data processing, the system feeds back the processing results to the in-vehicle intelligent instrument through a standardized API interface and stores the processing results in a distributed database for subsequent analysis. Through the close cooperation between the intelligent driving management unit and the data processing center, this system realizes the full-process automated management from data collection, calculation and processing to result feedback, providing a complete technical solution for vehicle carbon footprint management.

[0062] In a specific embodiment, the intelligent energy management subsystem includes:

[0063] The vehicle-battery separation swap station management unit is used for the swap station operator to establish a battery management database to record the usage status of each battery; the swap station operator performs intelligent battery scheduling to ensure the battery supply of the swap station; the swap station intelligent instrument monitors the charging and discharging status of the battery; the swap station intelligent instrument performs battery health status assessment;

[0064] The virtual power plant management unit is used for the virtual power plant control center to incorporate batteries, swap stations, and battery banks into the distributed energy resource (DER) terminal management; the aggregation management system performs coordinated optimization of the DER terminals; the intelligent metering system performs electric energy metering; the grid connection control system performs grid-connected operation of the wind-solar-storage-charge-discharge virtual power plant intelligent energy system;

[0065] The intelligent microgrid management unit is used for battery operators to connect the battery swapping stations, battery banks, and energy storage power stations to the distributed energy (DER) terminals; the network control center executes the connection with the large power grid and regional power grid; the dispatching center executes the coordination of the park and community power grids; the planning system executes the intelligent management of the source-network-load-storage-aggregated charging and discharging.

[0066] The simple sharing management unit is used for the charging pile intelligent meter to execute user identity authentication; the charging pile intelligent meter to execute the management of shared battery usage permissions; the charging pile intelligent meter to execute energy storage load balancing control; the charging pile intelligent meter to execute user billing management.

[0067] In this embodiment, the smart energy management subsystem, based on the C-V2X and V2G technology architecture, implements smart energy management throughout the battery lifecycle through four specialized management units. The battery swap station management unit, deployed by the battery swap operator, establishes an intelligent management platform and establishes a battery management database. This database utilizes a distributed storage architecture to record core data such as basic battery information, charge and discharge data, and health status. Each battery is assigned a unique identification code and collects real-time data such as charge and discharge current, voltage, and temperature. The sampling frequency is set at 1kHz, and the collected data is transmitted to the smart meter at the battery swap station via a high-speed data channel. The smart meter at the battery swap station has a built-in battery health assessment module that uses machine learning algorithms to build a battery health model and calculate the battery's remaining life in real time. The battery swap operator uses the assessment results to execute intelligent scheduling tasks to ensure sufficient battery supply at the battery swap station. The virtual power plant management unit utilizes a centralized control architecture. The virtual power plant control center integrates distributed batteries, battery swap stations, battery banks, and other facilities as distributed energy (DER) terminals through standardized interfaces. The aggregated management system utilizes an optimized control algorithm to coordinate and optimize DER terminals based on multi-dimensional data such as load forecasts, electricity prices, and weather forecasts. The smart metering system uses a high-precision energy metering module with an accuracy level of 0.2s to perform energy metering tasks. The grid-connected control system employs an adaptive control strategy to adjust the operating parameters of the wind-solar-storage-charging-discharging virtual power plant in real time to ensure grid-connected operation stability. The smart microgrid management unit adopts a hierarchical control architecture, allowing battery operators to connect battery swap stations, battery banks, and energy storage stations to the distributed energy (DER) terminal management system through a unified interface. The network control center implements a hierarchical control strategy to connect with the main and regional power grids and monitor network operation status in real time. The dispatch center implements an intelligent scheduling algorithm to achieve coordinated grid operation based on the electricity demand characteristics of the park and community. The planning system uses a multi-objective optimization algorithm, comprehensively considering factors such as economic efficiency, reliability, and environmental protection, to implement intelligent management of the source-grid-load-storage-aggregated charging and discharging process, achieving load shaving and valley shifting. The simplified shared management unit is deployed in the smart charging pile meter and uses biometric recognition technology for user authentication, supporting multiple authentication methods such as fingerprint and facial recognition. The smart charging pile meter has a permission management module and implements a role-based access control policy to grant differentiated permissions to different users. The energy storage load balancing control module utilizes a real-time feedback control algorithm to monitor parameters such as charging power, battery status, and grid load, achieving a dynamic balance between energy storage and load. The user billing management module utilizes blockchain technology to record transaction data, ensuring transparency in the billing process. Through the coordinated collaboration of four management units, this system enables full lifecycle management of digitally connected transportation energy, primarily based on new energy green electricity, blue electricity, and traditional thermal power, supplemented by green hydrogen, blue hydrogen, and gray hydrogen, providing strong support for achieving carbon neutrality goals.

[0068] In a specific embodiment, the carbon cycle management subsystem specifically performs the following:

[0069] Initialization settings: The system controller executes C t +C MA +C VM +C USE +C REC +C RCF =0 for initial setting; establish a database of vehicle, charging station, and charging pile IDs; C t for the carbon footprint of the cloud network digital center, C MA for the carbon footprint of material acquisition and supply, C VM for the carbon footprint during the manufacturing process of components and the whole vehicle, C USE for the carbon footprint during the use process of charging and energy storage discharge, C REC for the carbon footprint during the scrapping and recycling process, C RCF for internationally recognized carbon removal certification carbon sink credits;

[0070] Carbon footprint confirmation process: Confirm the digital energy center according to the ID C t ; confirm the material according to the ID C MA ; confirm the manufacturing of components and the whole vehicle according to the ID C VM ; confirm the charging and discharging use process according to the ID C USE ; confirm the scrapping and recycling according to the ID C REC ;

[0071] Carbon asset management process: Record the emission reduction amount obtained from the scrapping and recycling of vehicles or batteries into the owner ID carbon emission reduction voluntary emission reduction carbon credit CCER asset pool; execute the management of carbon removal carbon sink credits C RCF subscribed according to the BECNU international negative carbon emission neutralization standard; execute the offset operation of the inevitable carbon emissions in the whole life cycle of carbon neutral vehicles, carbon neutral charging stations, and carbon neutral charging piles.

[0072] In this embodiment, the carbon cycle management subsystem adopts a hierarchical architecture design and performs full life cycle management of carbon footprint through the system controller. The system controller first executes the initialization setting task, sets the carbon footprint quantity technical model to C t +C MA +C VM +C USE +C REC +C RCF =0. This model uses a distributed database to record various parameters, and the database adopts a master-slave backup mechanism to ensure data security. The system establishes a unified identity recognition database, assigns a unique 128-bit identity identification code to each vehicle, charging station, and charging pile. The identification code adopts a hierarchical coding method, including information such as equipment type, production batch, and serial number. In the carbon footprint confirmation process, the system associates the digital energy center through the identity identification code Ct Data, real-time collect the energy consumption data of the cloud computing center and edge computing nodes, and use the cumulative measurement method to calculate the digital energy carbon footprint; associate with Material C through the identity code MA Data, based on the data of carbon neutral metals such as carbon neutral steel, carbon neutral aluminum, and carbon neutral magnesium, carbon neutral non-metal materials such as carbon neutral nano-calcium carbonate, and other carbon neutral automotive materials in the same family of patents, use the life cycle assessment method to calculate the carbon footprint of materials; associate with parts and vehicle manufacturing through the identity code VM Data, use the process analysis method to calculate the carbon footprint in the manufacturing process; associate with the charging and discharging usage process through the identity code USE Data, real-time monitor parameters such as charging power, discharging efficiency, and energy loss, and establish a dynamic carbon footprint accounting model; associate with scrapping and recycling through the identity code REC Data, use the material flow analysis method to evaluate the carbon footprint in the recycling process. In the carbon asset management process, the system sets up a special asset management module. When the vehicle or battery is scrapped and recycled, the system automatically calculates the emission reduction amount from recycling, and uses blockchain technology to record the emission reduction amount in the CCER asset pool corresponding to the owner's ID to ensure clear asset rights confirmation. The system strictly implements the BECNU international negative carbon emission neutralization standard, and classifies and manages the subscribed carbon removal and carbon sink credits RCF for classification management: among them MA +C VM corresponding to RCF is used to offset the inevitable carbon emissions in the tram materials and manufacturing process, and the system automatically executes the liquidation and cancellation operation before the vehicle is put into use; t +C USE corresponding to RCF is used as the owner's carbon asset before the vehicle is put into use, and conducts investment and financial management operations through the ecological value system interface. The system uses smart contract technology to execute the offset operation of the inevitable carbon emissions in the whole life cycle of carbon neutral vehicles, carbon neutral charging stations, and carbon neutral charging piles, and automatically triggers the offset mechanism when carbon emissions occur. Through the close cooperation of the three processes of initialization setting, carbon footprint confirmation, and carbon asset management, the system realizes the full-process automated processing from carbon footprint accounting to carbon asset management, providing a complete technical solution for achieving negative carbon emission neutralization.

[0073] In a specific embodiment, the ecological value management subsystem includes the following three subsystems:

[0074] The vehicle-battery separation and battery swapping basic unit is used for the cost control center to perform purchase cost accounting and management;

[0075] The battery management center is used for battery efficiency evaluation and optimization, battery safety monitoring, battery usage convenience management, and battery recycling management;

[0076] Maintenance cost management center, used to perform cost accounting and control;

[0077] High-order intelligent instrument unit, used for the C-V2X management center to perform vehicle networking communication management; the V2G management center to perform vehicle-grid integration control; the CCER management center to perform carbon emission reduction quota management; the BECNU management center to perform standardized control; the system integration center to perform intelligent integration of cloud, vehicle, energy, carbon, finance, and road;

[0078] Community sharing unit, used to perform the following tasks: the V2G microgrid control center performs community electricity load management, park electricity load management, and rural electricity load management;

[0079] Virtual power plant management center, used to perform peak shaving and valley filling tasks; the cost accounting center performs the electricity cost management of intelligent connected electric vehicles.

[0080] In this embodiment, the ecological value management subsystem realizes the commercial closed-loop of vehicle-road-cloud C-V2X, vehicle-grid integration V2G, and carbon neutrality of intelligent connected electric vehicles through three professional units. The vehicle-battery separation and battery swapping basic unit sets up a cost control center, uses data mining technology to establish a purchase cost prediction model, and realizes the accurate calculation of purchase costs by analyzing factors such as historical transaction data, market supply and demand relationships, and raw material prices. The battery management center adopts a multi-dimensional evaluation system to monitor parameters such as battery charge and discharge efficiency, internal resistance change, and temperature distribution in real time, and establishes a battery performance prediction model through deep learning algorithms; deploys a battery safety warning system, sets up a temperature sensor array and a voltage monitoring network, with a sampling frequency reaching 10 kHz, to realize real-time monitoring of the battery safety status; establishes a battery scheduling intelligent system, calculates the optimal battery swapping time and location through optimization algorithms, and improves the convenience of battery use; sets up a battery full-life cycle management system to track and manage the entire process of the battery from production, use to recycling, and realizes the maximization of battery recycling. The maintenance cost management center adopts a predictive maintenance strategy, establishes a device health management database, predicts device maintenance needs through fault diagnosis algorithms, and realizes the minimization of maintenance costs. The high-order intelligent instrument unit operates through the coordination of multiple professional centers: the C-V2X management center uses 5G communication technology to establish a vehicle networking communication network with low latency and high reliability, and realizes real-time data interaction between vehicles; the V2G management center sets up a two-way energy flow control system and uses adaptive control algorithms to realize two-way vehicle-grid interaction; the CCER management center establishes a carbon emission reduction quota trading platform and uses blockchain technology to ensure the transparency and traceability of the trading process; the BECNU management center executes standardized process management and formulates unified technical specifications and evaluation standards; the system integration center adopts a microservice architecture and realizes data sharing and collaborative control of the six major systems of cloud, vehicle, energy, carbon, finance, and road through a unified data bus. The community sharing unit has a V2G microgrid control center under it, which adopts a hierarchical control architecture to manage the electricity consumption needs in different scenarios: the community electricity load management system establishes a load prediction model through electricity consumption behavior analysis; the park electricity load management system adopts a demand response strategy to optimize the electricity consumption plan; the rural electricity load management system formulates an electricity consumption strategy in combination with the characteristics of distributed energy. The virtual power plant management center uses artificial intelligence algorithms for load prediction, realizes peak shaving and valley filling of the power grid through optimized dispatching strategies, and establishes a real-time monitoring system to track the dispatching effect; the cost accounting center sets up an intelligent billing system, combines time-of-use electricity prices and peak-valley electricity prices, and participates in power grid frequency modulation and peak shaving services through V2G technology to obtain benefits, and realizes the minimization of the electricity consumption cost of intelligent connected electric vehicles. Through the coordinated operation of the three professional units, this system constructs a complete ecological value realization mechanism and finally realizes the commercial goal of free sharing of the intelligent life space by the vehicle owner or user throughout the life cycle.

[0081] In a specific embodiment, the road intelligent transportation subsystem includes:

[0082] The terminal integration unit is used for the OBU terminal to perform vehicle-mounted data collection and processing; the energy sub-unit to perform energy consumption monitoring; the ecological environment governance sub-unit to perform environmental data collection; and the RSU roadside sub-unit to perform road information collection.

[0083] The interaction control unit is used for the V2V controller to perform vehicle-to-vehicle information interaction; the V2I controller to perform vehicle-to-infrastructure data interaction; the V2P controller to perform vehicle-to-pedestrian information interaction; the V2ESG controller to perform vehicle-to-energy, environment, and emissions and social governance data interaction; and the V2N controller to perform two-way vehicle-to-network interaction.

[0084] The vehicle-side technology, industry, and business ecosystem unit is used for integrated management of cloud-vehicle-energy-carbon-finance-road-communication; management of the intelligent connected carbon neutrality industrial chain; and management of the carbon neutrality technology standard system.

[0085] In this embodiment, the road intelligent transportation subsystem realizes a complete commercial closed-loop of intelligent transportation through three units: terminal integration, interactive control, and vehicle-side ecosystem. The terminal integration unit adopts a multi-level architecture design: the in-vehicle OBU terminal is configured with a high-performance processor, and the sampling frequency reaches 1 MHz, which can collect real-time driving data such as vehicle speed, acceleration, steering angle, and braking force. An edge computing module is built-in to execute data preprocessing tasks; the energy sub-unit sets up a multi-dimensional sensing network to monitor parameters such as battery voltage, current, temperature, and SOC value, establishes an energy consumption prediction model, and uses deep learning algorithms to optimize energy usage efficiency; the ecological environment governance sub-unit deploys an environmental monitoring sensor array to collect real-time greenhouse gas data such as carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), hydrofluorocarbons (HFCs), perfluorocarbons (PFCs), sulfur hexafluoride (SF6), and nitrogen trifluoride (NF3); the RSU roadside sub-unit uses multi-source sensing devices such as high-definition cameras, millimeter-wave radars, and lidar to build a digital twin system of the road environment, and realizes the real-time collection of information such as road conditions, traffic flow density, and weather conditions. The interactive control unit adopts a distributed control architecture: the V2V controller uses DSRC and C-V2X dual-mode communication technologies, and the communication delay is less than 10 ms, which can realize the real-time sharing of safety information such as braking intention, steering signal, and emergency alarm between vehicles; the V2I controller adopts a time-division multiplexing communication mechanism to establish a two-way data channel between vehicles and road infrastructure such as traffic lights, electronic signs, and variable message signs; the V2P controller is configured with a millimeter-wave radar sensing system, and the detection range covers an area of 150 meters around the vehicle, and pushes warning information to pedestrian devices through a low-latency communication network; the V2ESG controller establishes a data interaction mechanism between vehicles and environmental monitoring, energy management, and social governance systems, and uses blockchain technology to ensure the authenticity and reliability of data; the V2N controller uses 5G network technology, and the uplink bandwidth reaches 1 Gbps, which can realize the high-speed data transmission between vehicles and the Internet. The vehicle-side technology industry business ecosystem unit establishes a unified management platform: the cloud-vehicle-energy-carbon-finance-road-communication integrated management system adopts a microservices architecture, and realizes data sharing and business collaboration of the seven sub-systems through an API gateway; the intelligent connected carbon neutral industrial chain management system is based on an industrial chain digital platform, and realizes the full-process traceability from raw material supply, parts manufacturing to vehicle assembly; the carbon neutral technology standard system management system sets up a unified standard database, and uses an automated audit mechanism to ensure that each link meets the requirements of the BECNU international negative carbon emission neutral standard. The system evolves along the path of single-vehicle intelligence → vehicle-cloud collaboration → vehicle-road-cloud integration. On the basis of the rapid iteration of single-vehicle intelligence, the technology maturity is accelerated through vehicle-cloud collaboration, and finally a vehicle-road-cloud integration solution based on the C-V2X standard is realized. Through the deep integration of the three functional units, the system constructs a smart vehicle + intelligent road + collaborative cloud intelligent connected vehicle ecosystem, and realizes a complete closed-loop of the technology industry business ecosystem.

[0086] In a specific embodiment, the system further includes:

[0087] A greenhouse gas monitoring interface module, responsible for monitoring: the monitoring interfaces for carbon dioxide (CO2) and non-carbon dioxide greenhouse gas methane (CH4); the monitoring interface for nitrous oxide (N2O); the monitoring interface for hydrofluorocarbons (HFCs); the monitoring interface for perfluorocarbons (PFCs); the monitoring interface for sulfur hexafluoride (SF6); the monitoring interface for nitrogen trifluoride (NF3);

[0088] An ecosystem interface module, performing: environmental impact assessment interface management; social impact assessment interface management; human activity impact assessment interface management;

[0089] An intelligent terminal upgrade interface module, performing: environmental monitoring system interface management; ESG system interface management; general instrument system architecture extension interface management.

[0090] In this embodiment, the system realizes comprehensive environmental monitoring and ecological assessment through three professional interface modules. The greenhouse gas monitoring interface module adopts a multi-channel parallel acquisition architecture, and independent monitoring channels are set for carbon dioxide (CO2) and non-CO2 greenhouse gases. For the six types of non-CO2 greenhouse gases: the methane (CH4) monitoring interface uses an optical sensor array with a detection accuracy of 0.1 ppm to monitor the change in CH4 concentration in the atmosphere in real time; the nitrous oxide (N2O) monitoring interface is configured with a chemical sensor, and the sampling frequency is set to 100 Hz to realize real-time tracking of N2O emissions; the hydrofluorocarbons (HFCs) monitoring interface uses ion mobility spectrometry technology with a detection limit as low as 1 ppb to classify and monitor HFCs compounds; the perfluorocarbons (PFCs) monitoring interface adopts gas chromatography-mass spectrometry technology with an analysis accuracy of 0.01 ppb to realize qualitative and quantitative analysis of PFCs components; the sulfur hexafluoride (SF6) monitoring interface is set with an electrochemical sensor with a response time of less than 1 second to perform dynamic monitoring of SF6 concentration; the nitrogen trifluoride (NF3) monitoring interface is configured with an infrared spectrometer with a measurement range of 0-1000 ppm to realize full-time tracking of NF3. The ecosystem interface module establishes a multi-dimensional evaluation system: the environmental impact assessment interface adopts the life cycle assessment method, sets 16 monitoring indicators such as water quality, air, soil, and noise, and quantifies the degree of environmental impact through a data analysis model; the social impact assessment interface establishes a social benefit assessment model, sets 12 assessment dimensions such as employment contribution, technological innovation, and people's livelihood improvement, and determines the weights of each indicator by using the analytic hierarchy process; the human activity impact assessment interface adopts a system dynamics model to establish a correlation model between human activities and the ecological environment and real-time assess the degree of impact of human activities on the ecosystem. The intelligent terminal upgrade interface module adopts a modular design concept: the environmental monitoring system interface adopts a standardized protocol, supports data interaction with third-party monitoring devices, and the data transmission rate reaches 10 Gbps; the ESG system interface sets a data adaptation layer to support the standardized access of multi-dimensional data such as environment, social responsibility, and corporate governance; the general instrument system architecture expansion interface adopts plug-and-play technology, reserves hardware expansion slots and software interfaces, and supports the dynamic expansion of system functions. All interface modules adopt a unified data format standard, define the data structure based on XML Schema, and realize data interaction through WebService. The system integrates a dual encryption mechanism, adopts an asymmetric encryption algorithm to protect data transmission security, and uses digital signature technology to ensure data authenticity. Through the standardized interface design, the system realizes comprehensive coverage from greenhouse gas monitoring to ecological system assessment, provides technical support for the application expansion of other transportation tools such as hybrid vehicles, fuel vehicles, and commercial vehicles, as well as fields such as Internet commerce and industrial manufacturing, and constructs a complete ecological environment monitoring and evaluation system.

[0091] In a specific embodiment, the system further includes:

[0092] Transportation carbon neutrality management module, specifically for: passenger car carbon neutrality management; hybrid vehicle carbon neutrality management; fuel vehicle carbon neutrality management; motorcycle carbon neutrality management; commercial vehicle carbon neutrality management; loader carbon neutrality management; special vehicle carbon neutrality management;

[0093] Industry application expansion module, specifically implementing: Internet business carbon neutrality management; logistics industry carbon neutrality management; digital energy carbon neutrality management; mobile communication carbon neutrality management; industrial intelligent manufacturing carbon neutrality management; mine intelligentization carbon neutrality management.

[0094] In this embodiment, the system realizes full-scenario carbon neutrality management through the transportation carbon neutrality management module and the industry application extension module. The transportation carbon neutrality management module adopts a classification management strategy and formulates differentiated carbon neutrality solutions for different types of transportation: The passenger vehicle carbon neutrality management unit sets up an intelligent networked control system, uses multi-source sensors to collect vehicle operation data in real time, with a sampling frequency reaching 500Hz, optimizes the driving strategy through deep learning algorithms, and realizes the minimization of carbon emissions; The hybrid vehicle carbon neutrality management unit configures a power system optimization controller, uses predictive control algorithms to achieve the coordinated operation of the engine and the motor, establishes an oil-electric hybrid working condition database, and dynamically adjusts the energy distribution strategy; The fuel vehicle carbon neutrality management unit adopts precise fuel injection technology, configures an exhaust gas recirculation system, reduces tailpipe emissions through a catalytic conversion device, and monitors emission indicators in real time; The motorcycle carbon neutrality management unit sets up a lightweight control system, uses an electronic fuel injection system to optimize combustion efficiency, and establishes a driving condition database; The commercial vehicle carbon neutrality management unit configures a load sensing system, dynamically adjusts the power output according to the loading state, and uses intelligent route planning to reduce energy consumption; The loader carbon neutrality management unit sets up a working condition identification system, formulates energy-saving strategies for different working scenarios, and realizes precise energy consumption management; The special vehicle carbon neutrality management unit adopts a modular design and configures a dedicated carbon emission control system for different functional requirements. The industry application extension module develops carbon neutrality solutions for different industry scenarios: The Internet business carbon neutrality management unit establishes a data center energy consumption management system, adopts a distributed computing architecture to reduce computing energy consumption, and sets up an intelligent cooling system to optimize cooling efficiency; The logistics industry carbon neutrality management unit configures an intelligent dispatching system, optimizes the distribution route through big data analysis, and uses an electric logistics fleet to reduce transportation carbon emissions; The digital energy carbon neutrality management unit sets up an energy dispatching center, uses artificial intelligence algorithms to achieve the coordinated optimization of source-network-load-storage, and establishes a renewable energy consumption platform; The mobile communication carbon neutrality management unit adopts an intelligent base station management system, dynamically adjusts the base station power according to the communication traffic, and configures a solar power supply system to reduce the power grid load; The industrial intelligent manufacturing carbon neutrality management unit sets up a production line energy consumption monitoring system, uses industrial Internet of Things technology to collect equipment operation data in real time, and optimizes the production process through digital twin technology; The mine intelligent carbon neutrality management unit configures an intelligent mining system, uses driverless technology to reduce equipment energy consumption, and establishes a microgrid in the mining area to achieve intelligent energy allocation. Each management unit adopts a unified data interface standard, constructs a carbon footprint tracking system based on blockchain technology, and realizes the whole-process recording and verification of carbon emission data. The system sets up an AI decision-making center, uses reinforcement learning algorithms to continuously optimize the management strategy, and evaluates the emission reduction effect through digital twin technology. Through the standardized and modular design concept, the system realizes the full-range carbon neutrality management from transportation to industry applications, providing complete technical support for the popularization and application of the BECNU international negative carbon emission neutrality standard.

[0095] In the embodiments of the present invention, full-life-cycle carbon footprint management is achieved through a quantification model, a complete carbon emission monitoring system from material supply, manufacturing, use to recycling is established, and real-time recording, measurement and accounting, certification and carbon label management of the carbon footprint are realized. The purchase cost and usage cost are reduced through the vehicle-battery separation and battery swapping mode, efficient energy utilization is achieved through the virtual power plant and intelligent microgrid mode, and the V2G technology is used to participate in grid regulation to achieve peak shaving and valley filling. The electricity cost is reduced through the sharing mode. The integration of the seven major systems of cloud-vehicle-energy-carbon-finance-road-connection is realized, multi-dimensional interactions such as V2V, V2I, V2P, V2ESG, and V2N are supported, application interfaces for multiple scenarios such as business, office, home, social entertainment, etc. are provided, and the deep combination of carbon neutrality and business models is realized. It supports carbon neutrality management for the full range of vehicle models from passenger cars to special vehicles, and thus realizes the full-life-cycle management of the carbon footprint of connected electric vehicles based on the BECNU international negative carbon emission neutrality standard.

[0096] Those skilled in the art can clearly understand that for the convenience and brevity of description, the specific working processes of the above-described systems, systems and units can refer to the corresponding processes in the foregoing method embodiments and will not be elaborated herein.

[0097] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The foregoing storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical discs that can store program codes.

[0098] As described above, the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A BECNU international negative carbon emission neutralization standard-based networked electric vehicle carbon neutral intelligent instrument system, characterized in that, The system includes: A hardware terminal module, which includes an integrated intelligent terminal in three forms: a handheld intelligent instrument terminal, a vehicle-mounted intelligent instrument terminal, and a station post intelligent instrument terminal. The integrated intelligent terminal is provided with a display interface, an input / output interface, and a data collection device; An intelligent control module, which includes a dedicated operating system and an intelligent chip, and is used to execute data processing and system management; The software system module includes the following seven subsystems: The intelligent instrument cloud service subsystem, which is used to execute cloud services and edge computing based on C-V2X technology; The intelligent driving management subsystem, which is used to execute carbon footprint recording, measurement, accounting and certification; The intelligent energy management subsystem, which is used to execute the management of four modes: vehicle-battery separation and battery swapping, virtual power plant, intelligent microgrid and simple sharing; The carbon cycle management subsystem, which is used to execute carbon footprint confirmation and carbon asset management; The ecological value management subsystem, which is used to execute the management of three business models: vehicle-battery separation and battery swapping foundation, high-order intelligent instrument and community sharing; The road intelligent transportation subsystem, which is used to execute terminal integration, interactive control and vehicle-side ecosystem management; The intelligent communication subsystem, which is used to execute multi-dimensional interactive management of V2V, V2I, V2P, V2ESG and V2N; The carbon cycle management subsystem specifically executes: Initialization setting: The system controller executes the initial setting of Ct + CMA + CVM + CUSE + CREC + CRCF = 0; Establish a database of vehicle, charging station and charging pile IDs; Ct is the carbon footprint of the cloud network digital center, CMA is the carbon footprint of material acquisition and supply, CVM is the carbon footprint of the component and vehicle manufacturing process, CUSE is the carbon footprint of the charging and energy storage discharge use process, CREC is the carbon footprint of the end-of-life recycling process, and CRCF is the carbon sink credit of internationally recognized carbon removal certification; Carbon footprint confirmation process: Confirm Ct of the digital energy center according to the ID; Confirm CMA of the material according to the ID; Confirm CVM of the component and vehicle manufacturing according to the ID; Confirm CUSE of the charging and discharging use process according to the ID; Confirm CREC of the end-of-life recycling according to the ID; Carbon asset management process: Record the reduction in emissions obtained from the end-of-life recycling of vehicles or batteries into the owner ID carbon emission reduction voluntary emission reduction carbon credit CCER asset pool; Execute the management of the carbon sink credit CRCF subscribed to the BECNU international negative carbon emission neutralization standard; Execute the offset operation of the unavoidable carbon emissions in the whole life cycle of carbon-neutral vehicles, carbon-neutral charging stations and carbon-neutral charging piles; The ecological value management subsystem includes the following three subsystems: The vehicle-battery separation and battery swapping basic unit, which is used for the cost control center to execute the purchase cost accounting and management; The battery management center, which is used for battery efficiency evaluation and optimization, battery safety monitoring, battery use convenience management, battery recycling management; The maintenance cost management center, which is used to execute cost accounting and control; The high-order intelligent instrument unit, which is used for the C-V2X management center to execute vehicle networking communication management; The V2G management center to execute vehicle-grid integration control; The CCER management center to execute carbon emission reduction quota management; The BECNU management center to execute standardized control; The system integration center to execute the intelligent integration of cloud, vehicle, energy, carbon, finance and road; The community sharing unit, which is used to execute: The V2G microgrid control center executes the following tasks: Community electricity load management, park electricity load management, village and town electricity load management; The virtual power plant management center, which is used to execute peak shaving and valley filling tasks; The cost accounting center executes the electricity cost management of intelligent networked electric vehicles.

2. The carbon neutral intelligent instrument system for connected electric vehicles based on the BECNU international negative carbon emission neutralization standard according to claim 1, characterized in that, The intelligent instrument cloud service subsystem includes: Intelligent instrument cloud service architecture: It is established by using the cellular vehicle-to-everything (C-V2X) network communication technology. The intelligent instrument cloud service architecture includes a cloud service layer and an edge computing layer. The cloud service layer is responsible for the cloud computing and cloud storage tasks by the C-V2X cloud service system. The edge computing layer is responsible for the real-time data processing tasks by the C-V2X edge computing system. Terminal access process: After passing the security authentication, the handheld carbon neutral intelligent instrument accesses the C-V2X edge computing system to perform user portable carbon footprint data collection and processing. After passing the security authentication, the vehicle-mounted carbon neutral intelligent instrument accesses the C-V2X edge computing system to perform vehicle real-time carbon footprint data collection and processing. After passing the security authentication, the charging station carbon neutral intelligent instrument accesses the C-V2X edge computing system to perform charging facility carbon footprint data collection and processing. Data processing process: The C-V2X edge computing system performs real-time analysis and preprocessing on the collected data. The C-V2X edge computing system transmits the processed data to the cloud service layer. The C-V2X cloud service system performs cloud computing tasks on the received data to generate carbon footprint analysis results. The C-V2X cloud service system stores the analysis results in the cloud storage system and feeds back the processing results to the corresponding intelligent instrument terminal.

3. The networked electric vehicle carbon neutral intelligent instrument system based on the BECNU international negative carbon emission neutralization standard according to claim 2, wherein, The intelligent driving management subsystem includes: The intelligent driving management unit is used for the vehicle-mounted intelligent instrument to record the carbon footprint emission data during the vehicle driving process in real time. The vehicle-mounted intelligent instrument performs the metering and accounting tasks of carbon footprint data. The vehicle-mounted intelligent instrument generates a carbon footprint verification report and a warning prompt. The vehicle-mounted intelligent instrument provides carbon footprint verification, certification, and carbon trading data information to the driver. The data processing center is used for the AI computing center to process the vehicle intelligent transportation mobile space data. The edge computing center processes the vehicle terminal cloud system data. The cloud computing center processes the energy system, carbon cycle system, and ecological value financial management data. The road traffic system data center processes the intelligent network connection information.

4. The intelligent carbon neutrality instrument system for connected electric vehicles based on the BECNU international negative carbon emission neutrality standard according to claim 3, characterized in that, The intelligent energy management subsystem includes: The vehicle-battery separation and swapping station management unit is used for the swapping operator to establish a battery management database to record the usage status of each battery. The swapping operator performs intelligent battery scheduling to ensure the battery supply of the swapping station. The intelligent instrument of the swapping station monitors the charging and discharging status of the battery. The intelligent instrument of the swapping station performs battery health status assessment. The virtual power plant management unit is used for the virtual power plant control center to incorporate batteries, swapping stations, and battery banks into the distributed energy resource (DER) terminal management. The aggregation management system performs the coordinated optimization of DER terminals. The intelligent metering system performs electric energy metering. The grid connection control system performs the grid connection operation of the wind-solar-storage-charging-discharging virtual power plant intelligent energy system. The intelligent microgrid management unit is used for the battery operator to connect the swapping station, battery bank, and energy storage station to the DER terminal. The network control center performs the connection with the large power grid and regional power grid. The dispatching center performs the coordination of the park and community power grids. The planning system performs the intelligent management of the source-network-load-storage-aggregation charging and discharging. A simple sharing management unit is used for the charging pile intelligent meter to perform user identity authentication; the charging pile intelligent meter performs shared battery usage permission management; the charging pile intelligent meter performs energy storage load balancing control; the charging pile intelligent meter performs user billing management.

5. The intelligent instrument system for carbon neutrality of networked electric vehicles based on the BECNU international negative carbon emission neutrality standard according to claim 1, wherein The road intelligent transportation subsystem includes: A terminal integration unit is used for the OBU terminal to perform vehicle-mounted data collection and processing; an energy sub-unit performs energy consumption monitoring; an ecological environment governance sub-unit performs environmental data collection; an RSU roadside sub-unit performs road information collection; An interaction control unit is used for the V2V controller to perform vehicle-to-vehicle information interaction; the V2I controller performs vehicle-to-infrastructure data interaction; the V2P controller performs vehicle-to-pedestrian information interaction; the V2ESG controller performs vehicle-to-energy, environment, emission and social governance data interaction; the V2N controller performs two-way vehicle-to-network interaction; A vehicle-side technology, industry, and business ecosystem unit is used for integrated management of cloud-vehicle-energy-carbon-finance-road-connection; intelligent connected carbon neutral industrial chain management; carbon neutral technology standard system management.

6. The carbon neutral intelligent instrument system for connected electric vehicles based on the BECNU international negative carbon emission neutralization standard according to claim 5, characterized in that, The system further includes: A greenhouse gas monitoring interface module is responsible for monitoring: carbon dioxide (CO2) and non-carbon dioxide greenhouse gas methane (CH4) monitoring interfaces; nitrous oxide (N2O) monitoring interface; hydrofluorocarbons (HFCs) monitoring interface; perfluorocarbons (PFCs) monitoring interface; sulfur hexafluoride (SF6) monitoring interface; nitrogen trifluoride (NF3) monitoring interface; An ecosystem interface module performs: environmental impact assessment interface management; social impact assessment interface management; human activity impact assessment interface management; An intelligent terminal upgrade interface module performs: environmental monitoring system interface management; ESG system interface management; general instrument and machine system architecture expansion interface management.

7. The intelligent instrument system for carbon neutrality of connected electric vehicles based on the BECNU international negative carbon emission neutrality standard according to claim 6, characterized in that, The system further includes: A transportation vehicle carbon neutral management module specifically targets: passenger vehicle carbon neutral management; hybrid vehicle carbon neutral management; fuel vehicle carbon neutral management; motorcycle carbon neutral management; commercial vehicle carbon neutral management; loader carbon neutral management; special vehicle carbon neutral management; An industry application expansion module specifically performs: Internet business carbon neutral management; logistics industry carbon neutral management; digital energy carbon neutral management; mobile communication carbon neutral management; industrial intelligent manufacturing carbon neutral management; mine intelligent carbon neutral management.

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