Intelligent carbon emission calculation system

Abstract

An intelligent carbon emission calculation system, comprising an on-board data collection module, an environmental data acquisition module, a charging station data collection module, a data fusion processing module, a carbon emission calculation module and a carbon emission optimization suggestion module, wherein the on-board data collection module collects real-time operation data of a vehicle; the environmental data acquisition module obtains environmental data of an operation route; the charging station data collection module collects power grid data of a charging station; the data fusion processing module processes the real-time operation data of the vehicle, the environmental data of the operation route and the power grid data of the charging station, so as to obtain fused data; the carbon emission calculation module inputs the fused data into a carbon emission prediction model, so as to generate a calculation result; and the carbon emission optimization suggestion module generates an optimization suggestion on the basis of the calculation result of the carbon emission prediction model.

Description

Intelligent carbon emission calculation system Technical Field

[0001] This invention relates to a carbon emission calculation technology, and more particularly to an intelligent carbon emission calculation system specifically designed for electric vehicles. Background Technology

[0002] Currently, most vehicle carbon emission calculations focus on the entire vehicle lifecycle, including stages such as raw material acquisition, vehicle production, energy use, maintenance, and disposal. However, existing methods struggle to propose targeted carbon emission reduction measures during the vehicle design phase. Therefore, a system capable of effectively controlling carbon emissions during the design and development process is needed. Summary of the Invention

[0003] This invention provides an intelligent carbon emission calculation system for electric vehicles. It uses a modular approach to accurately estimate and manage the carbon footprint during the design phase, thereby providing design optimization suggestions and reducing carbon emissions throughout the entire life cycle.

[0004] To achieve one, some, or all of the above objectives, or other objectives, an embodiment of the present invention provides an intelligent carbon emission calculation system, including an onboard data collection module, an environmental data acquisition module, a charging station data collection module, a data fusion processing module, a carbon emission calculation module, and a carbon emission optimization suggestion module. The data fusion processing module is coupled to the onboard data collection module, the environmental data acquisition module, and the charging station data collection module; the carbon emission calculation module is coupled to the data fusion processing module; and the carbon emission optimization suggestion module is coupled to the carbon emission calculation module. Furthermore, the onboard data collection module collects real-time vehicle operation data; the environmental data acquisition module acquires environmental data related to the operating route; the charging station data collection module collects charging station grid data; the data fusion processing module processes the real-time vehicle operation data, the operating route environmental data, and the charging station grid data to obtain fused data; the carbon emission calculation module inputs the fused data into a carbon emission prediction model to generate calculation results; and the carbon emission optimization suggestion module generates optimization suggestions based on the calculation results of the carbon emission prediction model.

[0005] In one embodiment of the present invention, the aforementioned real-time vehicle operation data includes route, speed, energy consumption, load, and mileage.

[0006] In one embodiment of the present invention, the above-mentioned environmental data of the operating route includes congestion level, slope, wind speed, and temperature.

[0007] In one embodiment of the present invention, the above-mentioned charging station grid data includes charging station location, charging efficiency, and grid carbon emission factor.

[0008] In one embodiment of the present invention, the above-mentioned optimization suggestions include the adaptation route and charging suggestions for each vehicle, and / or the vehicle model and delivery order for each delivery.

[0009] In one embodiment of the present invention, the above-mentioned intelligent carbon emission calculation system further includes a database coupled to an on-board data collection module, an environmental data acquisition module, a charging station data collection module, a data fusion processing module, a carbon emission calculation module, and a carbon emission optimization suggestion module, for storing real-time vehicle operation data, operation route environmental data, charging station power grid data, fused data, calculation results, and optimization suggestions.

[0010] This invention achieves intelligent and accurate calculation of carbon emissions throughout the entire life cycle of a vehicle by integrating multiple data and using a carbon emission prediction model, which can provide data support for transportation companies' low-carbon operation decisions.

[0011] The above description is merely an overview of the technical solution of the present invention. In order to better understand the technical means of the present invention and to implement it in accordance with the contents of the specification, and to make the above and other objects, features and advantages of the present invention more apparent and understandable, preferred embodiments are described in detail below with reference to the accompanying drawings. Attached Figure Description

[0012] Figure 1 is a system block diagram of an intelligent carbon emission calculation system provided in an embodiment of the present invention. Detailed Implementation

[0013] This invention is described in particular by way of the following examples, which are merely illustrative. Various modifications and refinements can be made by those skilled in the art without departing from the spirit and scope of this disclosure. Therefore, the scope of protection of this disclosure is determined by the appended claims. Throughout this specification and claims, unless explicitly stated otherwise, the words “a” and “described” include a description of “a or at least one” component or element. Furthermore, as used herein, the singular article also includes a description of multiple components or elements unless clearly excluded from the specific context. Moreover, when applied in this description and all the following claims, unless explicitly stated otherwise, “in which” may include both “in which” and “therein”. The terms used throughout this specification and claims, unless otherwise specified, generally have their ordinary meaning in the art, in the disclosure, and in the specific context. Certain terms used to describe this invention will be discussed below or elsewhere in this specification to provide additional guidance to those skilled in the art in describing this invention. Examples found anywhere in this specification, including examples of any terms used in the discussion herein, are merely illustrative and do not limit the scope or meaning of the invention or any of the illustrative terms. Similarly, the invention is not limited to the various embodiments set forth in this specification.

[0014] Furthermore, the use of the terms "coupled" or "connected" herein includes any direct and indirect electrical connection. For example, if the text describes a first device being electrically coupled to a second device, it means that the first device can be directly connected to the second device, or indirectly connected to the second device through other devices or connection means. Additionally, regarding the description of the transmission or provision of electrical signals, those skilled in the art will understand that attenuation or other non-ideal variations may occur during the transmission of electrical signals, but unless otherwise specified, the source and receiver of the transmitted or provided electrical signal should be considered substantially the same signal. For example, if an electrical signal S is transmitted (or provided) from terminal A of an electronic circuit to terminal B of the same electronic circuit, a voltage drop may occur across the source and drain terminals of a transistor switch and / or possible stray capacitances. However, unless the purpose of this design is to intentionally utilize the attenuation or other non-ideal variations that occur during transmission (or provision) to achieve certain specific technical effects, the electrical signal S at terminals A and B of the electronic circuit should be considered substantially the same signal.

[0015] It is understood that terms such as "comprising," "including," "having," "containing," and "involving," as used herein, are open-ended, meaning they include but are not limited to. Furthermore, no embodiment or claim of this invention is required to achieve all the objects, advantages, or features disclosed in this invention. In addition, the abstract and headings are merely for assisting in patent document searching and are not intended to limit the claims of this invention.

[0016] Please refer to Figure 1, which is a system block diagram of an intelligent carbon emission calculation system provided in an embodiment of the present invention. The intelligent carbon emission calculation system 1 provided in this embodiment includes an onboard data collection module 2, an environmental data acquisition module 3, a charging station data collection module 4, a data fusion processing module 5, a carbon emission calculation module 6, a carbon emission optimization suggestion module 7, and a database 8. The data fusion processing module 5 is coupled to the onboard data collection module 2, the environmental data acquisition module 3, and the charging station data collection module 4; the carbon emission calculation module 6 is coupled to the data fusion processing module 5; the carbon emission optimization suggestion module 7 is coupled to the carbon emission calculation module 6; and the database 8 is coupled to the onboard data collection module 2, the environmental data acquisition module 3, the charging station data collection module 4, the data fusion processing module 5, the carbon emission calculation module 6, and the carbon emission optimization suggestion module 7.

[0017] In addition, the vehicle data collection module 2 collects real-time vehicle operation data, including route, speed, energy consumption, load, and mileage. The environmental data acquisition module 3 acquires environmental data for the operating route, including congestion level, gradient, wind speed, and temperature. The charging station data collection module 4 collects charging station grid data, including charging station location, charging efficiency, and grid carbon emission factor. The data fusion processing module 5 processes, for example, real-time vehicle operation data, operating route environmental data, and charging station grid data to obtain fused data. The carbon emission calculation module 6 inputs the fused data into the carbon emission prediction model to generate calculation results, where the carbon emission prediction model is based on a deep learning algorithm. The carbon emission optimization suggestion module 7 generates optimization suggestions based on the calculation results of the carbon emission prediction model, and displays the calculation results in the form of charts or data for designers to refer to and optimize. The optimization suggestions include the appropriate route and charging suggestions for each vehicle, and / or the vehicle model and delivery sequence for each delivery. Database 8 is used to store real-time vehicle operation data, route environment data, charging station power grid data, fused data, calculation results, and optimization suggestions.

[0018] It is worth noting that those skilled in the art can design carbon emission calculation algorithms for vehicles based on actual vehicle parameters, and this invention is not limited thereto. Meanwhile, the intelligent carbon emission calculation system 1 of this embodiment can calculate the carbon emissions of each and all vehicles by integrating vehicle characteristics and energy consumption data, achieving low-carbon optimization for short- and medium-to-long-distance transportation. This system, based on the ISO 14083 architecture, focuses on managing road transportation scenarios using electric vehicles. By combining onboard data, environmental data, and charging station data, it performs accurate calculations of carbon emissions throughout the entire process for different vehicle characteristics, and provides suggestions for optimizing transportation routes and charging strategies, improving transportation efficiency and reducing overall carbon emissions. It also specifically introduces the carbon emission coefficient of 0.038 kgCO2e / km for electric tricycles, making it suitable for short-distance delivery and urban logistics scenarios.

[0019] In one example, the intelligent carbon emission calculation system 1 of the present invention first collects vehicle parameters for each vehicle, such as dimensions, materials, and components, and integrates them into a data platform such as CAD or CAE. Next, the vehicle parameters are divided into two groups: the first group includes parameters with existing database 8 or regulatory data, such as battery systems, electric drive systems, and in-vehicle seat systems; the second group includes parameters for which data cannot be directly obtained from database 8, such as body structure systems, chassis systems, and accessory systems. Carbon emission estimates are performed for both the first and second groups. For example, the body structure system is estimated based on material density and theoretical enclosed volume, and the body is subdivided into multiple modules to simplify calculations; the chassis system's carbon emission is estimated based on parameters such as wheelbase and width; and the accessory system includes interior and exterior trim and electronic equipment, and carbon emission is estimated based on the vehicle's total volume. Finally, the estimated carbon emission data for both groups is stored in database 8 to be provided to the actual carbon emission calculation module 6 for calculating the carbon emissions of each vehicle and all vehicles.

[0020] In summary, the intelligent carbon emission calculation system provided by this invention achieves intelligent and accurate calculation of carbon emissions throughout the entire life cycle of a vehicle by integrating multiple data and using a carbon emission prediction model, which can provide data support for transportation companies' low-carbon operation decisions.

[0021] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention in any way. Although the present invention has been disclosed above with reference to preferred embodiments, it is not intended to limit the present invention. Any person skilled in the art can make some modifications or alterations to the methods and techniques disclosed above without departing from the scope of the present invention to create equivalent embodiments. Any simple modifications, equivalent changes and alterations made to the above embodiments based on the technical essence of the present invention without departing from the scope of the present invention shall still fall within the scope of the present invention.

Claims

1. A smart carbon emission calculation system, characterized in that, include: An onboard data collection module is used to collect real-time vehicle operating data; An environmental data acquisition module is used to obtain environmental data of the running route; A charging station data collection module is used to collect power grid data for charging stations; A data fusion processing module is coupled to the vehicle data collection module, the environmental data acquisition module, and the charging station data collection module to process the vehicle's real-time operating data, the operating route environmental data, and the charging station power grid data to obtain fused data. A carbon emission calculation module, coupled to the data fusion processing module, is used to input the fused data into a carbon emission prediction model to generate a calculation result; A carbon emission optimization suggestion module, coupled to the carbon emission calculation module, is used to generate optimization suggestions based on the calculation results of the carbon emission prediction model.

2. The intelligent carbon emission calculation system as described in claim 1, characterized in that, The real-time vehicle operation data includes route, speed, energy consumption, load, and mileage.

3. The intelligent carbon emission calculation system as described in claim 1, characterized in that, The environmental data for the operating route includes congestion level, slope, wind speed, and temperature.

4. The intelligent carbon emission calculation system as described in claim 1, characterized in that, The charging station grid data includes the charging station location, charging efficiency, and grid carbon emission factor.

5. The intelligent carbon emission calculation system as described in claim 1, characterized in that, The optimization suggestions include the adaptation route and charging suggestions for each vehicle, and / or the vehicle model and delivery order for each delivery.

6. The intelligent carbon emission calculation system as described in claim 1, characterized in that, Including: A database, coupled to the vehicle data collection module, the environmental data acquisition module, the charging station data collection module, the data fusion processing module, the carbon emission calculation module, and the carbon emission optimization suggestion module, is used to store the vehicle's real-time operating data, the operating route environmental data, the charging station power grid data, the fused data, the calculation results, and the optimization suggestions.

Images