CN-121980174-A - Vehicle carbon emission dynamic accounting method and system considering climate factors

CN121980174ACN 121980174 ACN121980174 ACN 121980174ACN-121980174-A

Abstract

The invention relates to the technical field of vehicle carbon emission accounting, and discloses a vehicle carbon emission dynamic accounting method and system considering climate factors. The method comprises the steps of constructing a climate parameter acquisition system, acquiring climate parameters such as ambient temperature, rainfall intensity, atmospheric pressure and wind speed of a vehicle running area in real time, synchronously acquiring vehicle running basic data, on the basis, establishing a climate factor correction model, converting the influence of climate conditions on vehicle energy consumption and carbon emission into a carbon emission correction coefficient, and further dynamically correcting a reference carbon emission value by combining the vehicle real-time oil consumption or electricity consumption data to realize real-time and continuous accounting of vehicle carbon emission. The system comprises a climate parameter acquisition module, a vehicle data acquisition module, a correction model construction module, a carbon emission accounting module and a dynamic updating module. The method can effectively reflect the influence of climate condition change on the carbon emission of the vehicle, improves the accuracy and timeliness of carbon emission accounting, and is suitable for traffic carbon emission monitoring and management scenes.

Inventors

LI QIANG
LI JING
WANG JIAQING
SONG SHIJIE
FAN YU

Assignees

南京林业大学

Dates

Publication Date: 20260505
Application Date: 20260106

Claims (10)

1. A method for dynamically accounting carbon emissions of a vehicle in consideration of climate factors, comprising the steps of: S1, constructing a climate parameter acquisition system, and acquiring target climate parameters of a vehicle driving area in real time, wherein the target climate parameters comprise ambient temperature, precipitation intensity, atmospheric pressure and wind speed; s2, collecting vehicle operation basic data, wherein the vehicle operation basic data comprise a vehicle model, a fuel type, real-time oil consumption/electricity consumption, a running speed, engine/motor operation power and operation duration; S3, establishing a climate factor correction model, and training through historical climate data and carbon emission actual measurement data under corresponding working conditions to obtain a carbon emission correction coefficient; s4, constructing a dynamic carbon emission accounting model, taking the vehicle operation basic data as input, and correcting the reference carbon emission value by combining the carbon emission correction coefficient to obtain a vehicle real-time carbon emission accounting value; S5, setting a dynamic accounting period according to the climate parameter change frequency of the vehicle driving area, and repeating the steps S1-S4 based on the dynamic accounting period to realize continuous dynamic update of the vehicle carbon emission.
2. The method according to claim 1, wherein the acquiring the target climate parameters in step S1 includes real-time acquisition by an on-board environment sensor mounted on the vehicle, and determining the target climate parameters.
3. The method according to claim 1, wherein the process of constructing the climate factor correction model in step S3 includes: S31, selecting typical climate scenes, and developing actual measurement experiments of carbon emission of vehicles in each scene to obtain corresponding relations between different climate parameter combinations and carbon emission data; s32, constructing a parameter influence analysis model based on historical climate parameters and carbon emission data, and performing fitting calculation on the corresponding relation to obtain carbon emission influence weights corresponding to all climate parameters; S33, constructing a climate factor correction model based on the influence weight, wherein a formula is ：λ＝1+α 1 (T-T 0 )+α 2 (P-P 0 )+α 3 (Pa-Pa 0 )+α 4 (V-V 0 ),, lambda is a carbon emission correction coefficient, alpha 1 、α 2 、α 3 、α 4 is an influence weight coefficient of temperature, precipitation, air pressure and wind speed respectively, T, P, pa, V is a real-time climate parameter value respectively, and T 0 、P 0 、Pa 0 、V 0 is a reference climate parameter value under a standard working condition respectively.
4. The method of claim 1, wherein the dynamic carbon emission accounting model in step S4 has an accounting formula of C=β×Q×λ, where C is a real-time carbon emission accounting value, β is a fuel carbon emission factor (for a fuel vehicle) or an electric energy carbon emission factor (for a new energy vehicle), Q is real-time fuel consumption or electricity consumption, and λ is a carbon emission correction coefficient.
5. The method according to claim 1, wherein the setting rule of the dynamic accounting period in the step S5 is that the accounting period is adjusted to 1 minute when the change rate of the climate parameters exceeds a preset threshold value (+ -5%), and the accounting period is adjusted to 5-10 minutes when the change rate of the climate parameters is within a preset threshold range, wherein the change rate of the climate parameters is the ratio of the difference value of the climate parameters acquired in two adjacent times to the previous parameter value.
6. A climate factor-considered vehicle carbon emission dynamic accounting system, comprising: the climate parameter acquisition module is used for acquiring target climate parameters of a vehicle driving area in real time, wherein the target climate parameters at least comprise ambient temperature, precipitation intensity, atmospheric pressure and wind speed; The vehicle data acquisition module is in communication connection with the vehicle OBD interface or the vehicle-mounted T-BOX and is used for synchronously acquiring vehicle operation basic data, wherein the vehicle operation basic data comprise vehicle types, fuel types, real-time oil consumption/electricity consumption, running speed, engine/motor operation power and operation duration; the correction model construction module is internally provided with a climate influence coefficient library and is used for converting the target climate parameters acquired by the climate parameter acquisition module into carbon emission correction coefficients; The carbon emission accounting module is respectively in communication connection with the vehicle data acquisition module and the correction model construction module and is used for calculating a real-time carbon emission accounting value of the vehicle based on vehicle operation basic data and a carbon emission correction coefficient; and the dynamic updating module is used for dynamically adjusting the accounting period according to the change frequency of the climate parameters, controlling each module to repeatedly execute data acquisition and accounting operation according to the accounting period, and realizing continuous updating of the carbon emission data.
7. The system of claim 6, wherein the climate parameter acquisition module comprises a vehicle-mounted sensor unit and a meteorological data interaction unit, the vehicle-mounted sensor unit comprises a temperature sensor, a rainfall sensor, an air pressure sensor and a wind speed sensor, and the meteorological data interaction unit establishes data connection with a third party meteorological platform through a 5G/Beidou communication module and is used for verifying and supplementing data acquired by the vehicle-mounted sensor.
8. The system of claim 6, further comprising a data storage and traceability module employing a distributed database for storing historical climate parameters, vehicle operating data and corresponding carbon emission accounting results and supporting query and traceability of historical data based on vehicle identification, time intervals or climate scenarios.
9. The system of claim 6, wherein the correction model construction module further comprises a model optimization unit, and the model optimization unit updates the influence weight coefficient of the climate factor correction model in real time by combining newly acquired climate-carbon emission data through an incremental learning algorithm, so as to improve correction accuracy.
10. The system of claim 6, further comprising an early warning module that presets a carbon emission threshold, and when a real-time carbon emission accounting value output by the carbon emission accounting module exceeds the threshold, sends early warning information to an on-board terminal or a background management system.

Description

Vehicle carbon emission dynamic accounting method and system considering climate factors Technical Field The invention relates to the technical field of carbon emission monitoring and environmental evaluation, in particular to a vehicle carbon emission dynamic accounting method and system considering climate factors, which are suitable for carbon emission accounting and management of fuel vehicles and new energy vehicles under different climate conditions. Background With the continued advancement of "two carbon" targets, carbon emissions in the transportation field have become an important component of greenhouse gas emissions. The existing vehicle carbon emission accounting method is mostly based on standard working conditions or fixed emission factors, and estimates the carbon emission through vehicle fuel consumption or electricity consumption data, and has obvious limitations in practical application although the calculation process is simple and convenient. On one hand, the climate conditions (such as ambient temperature, precipitation, atmospheric pressure, wind speed and the like) in the running process of the vehicle can obviously influence the running efficiency and energy consumption level of an engine or a motor so as to change the actual carbon emission level, and on the other hand, the existing method mostly adopts a static or low-frequency updating mode, so that the dynamic influence of the climate condition change on the carbon emission of the vehicle is difficult to reflect in time, and the accounting result is deviated from the actual emission condition. Therefore, there is a need for an accounting method and system that can comprehensively consider the influence of climate factors and realize dynamic update of carbon emissions of vehicles to improve the accuracy and applicability of carbon emission accounting. Disclosure of Invention The invention aims to provide a vehicle carbon emission dynamic accounting method and system considering climate factors, and aims to realize real-time and dynamic accounting of vehicle carbon emission by introducing a climate parameter correction mechanism, so as to solve the problems of ignoring the climate factors and insufficient accounting accuracy in the prior art. In order to achieve the above purpose, the present invention provides the following technical solutions: S1, constructing a climate parameter acquisition system, acquiring target climate parameters including ambient temperature (T), precipitation intensity (P), atmospheric pressure (Pa) and wind speed (V) in real time, acquiring in real time by adopting a vehicle-mounted environment sensor carried by a vehicle, and ensuring timeliness and field relevance of data acquisition. The vehicle-mounted sensor is required to be calibrated, and the measurement accuracy of the vehicle-mounted sensor meets the requirements of temperature +/-0.5 ℃, precipitation strength +/-0.1 mm/h, atmospheric pressure +/-1 hPa and wind speed +/-0.2 m/s. S2, collecting vehicle operation basic data, wherein the vehicle operation basic data comprises a vehicle model, a fuel type (fuel/new energy), real-time oil consumption/electricity consumption (Q), a running speed, engine/motor running power and running duration through establishing communication connection with a vehicle OBD interface or a vehicle-mounted T-BOX. The data acquisition frequency is not lower than 1 time/30 seconds, so that the continuity and the integrity of the data are ensured. S3, establishing a climate factor correction model, wherein the establishment process of the climate factor correction model for determining the carbon emission correction coefficient is as follows: S31, typical climate scene actual measurement experiments, namely selecting typical climate scenes such as high temperature, low temperature, heavy rain, strong wind, high altitude (low air pressure) and the like, setting different driving working conditions (idling, uniform speed, acceleration and deceleration) under each scene, carrying out vehicle carbon emission actual measurement experiments, acquiring carbon emission data under different climate parameter combinations and corresponding working conditions through professional carbon emission detection equipment, and establishing a climate-carbon emission corresponding relation database. And S32, calculating parameter influence weight, namely constructing a parameter influence analysis model based on the historical climate parameters and the corresponding carbon emission measured data, and performing fitting calculation on the corresponding relation between the climate parameters and the carbon emission data by adopting a multiple linear regression algorithm to obtain carbon emission influence weight coefficients alpha 1、α2、α3、α4 corresponding to the temperature, the precipitation, the air pressure and the wind speed respectively. S33, constructing a correction model, namely constructing a climate factor correction model based on