10 results about "Vehicle emissions control" patented technology

The invention discloses a national sixth heavy diesel vehicle SCR failure test method based on a remote monitoring platform, and belongs to the technical field of diesel vehicle emission control, and the test method comprises the following specific steps: I, inputting various data of a vehicle within a preset time, and carrying out the validity verification of the input various data of the vehicle; iI, collecting real-time operation parameters of each vehicle, and classifying and identifying working conditions corresponding to each vehicle according to the operation parameters of each vehicle; iII, extracting various data of the vehicle passing the validity verification, and matching the data with dynamic threshold libraries corresponding to different vehicle working conditions; according to the invention, the fault identification accuracy can be improved to 88% or more, the troubleshooting time is greatly shortened, and meanwhile, through a three-stage progressive alarm mechanism, full-coverage monitoring from slight abnormity to serious faults is realized, so that the service life of the SCR system is prolonged by 30% or more, and the deployment cost is reduced by 60% or more.

The invention belongs to the technical field of vehicle emission control, and particularly relates to a highway low-carbon route design method and device based on ecological speed control and a medium. The method comprises the following steps: collecting plateau road vehicle operation and CO2 emission data through a real vehicle test; a road section CO2 accumulated emission prediction model based on a DistilBERT framework is constructed; identifying a speed square difference as a key influence factor by using Sobol sensitivity analysis; adopting Bayesian optimization to formulate ecological speed control strategies of different working conditions, and setting a speed square difference critical value; and finally, the strategy is applied to identify and optimize the high-emission linear unit in a route design stage, and the running speed coordination is improved. According to the method, the light-weight large model and ecological speed control are deeply fused for the first time, the problems of accurate prediction of vehicle carbon emission and active carbon control at the front end of route design in the plateau complex environment are solved, and the purpose of reducing the carbon emission in the operation period from the road alignment source is achieved.

The application relates to the technical field of vehicle emission control, and discloses a vehicle regeneration prompting method, device, equipment, medium and program product. The method comprises the following steps: acquiring a multi-dimensional parameter value; judging whether the SCR urea crystallization amount exceeds a first threshold value of the crystallization amount according to the SCR mixer inlet temperature and a urea crystallization risk index; and when the SCR urea crystallization amount exceeds the first threshold value of the crystallization amount, entering a first prompting mode. According to the technical scheme, the regeneration demand can be prompted according to the SCR mixer inlet temperature and the urea crystallization risk index, the performance decline of the vehicle caused by the urea crystallization accumulation can be effectively prevented, and the reliability and operation efficiency of the vehicle emission system are improved.

The invention discloses a nitrogen-oxygen sensor protocol adaptive detection device and method based on machine learning, and relates to the technical field of vehicle emission control. The equipment comprises an upper computer, a CAN (Controller Area Network) communication module, IO (Input / Output) equipment and a controllable power supply module, according to the method, precise matching of protocols is achieved through a three-layer cascade decision-making architecture based on a random forest classifier, stable communication is established in combination with automatic baud rate detection, and distinguishing detection and initialization of front and rear nitrogen oxygen sensors are achieved through dynamic pin state control and power-on and power-off management. And meanwhile, the system has comprehensive data extraction, real-time display and fault diagnosis optimization functions. The method solves the problems of low protocol matching accuracy, insufficient dynamic detection capability, incomplete data extraction, tedious operation, poor system adaptability and the like in the prior art, and has the advantages of high accuracy, strong adaptive capability, high automation degree, good compatibility and the like.

A vehicle emissions control system including: a fuel tank; a canister including a material configured to absorb fuel vapors released from liquid fuel stored within the fuel tank; a pressure relief valve configured to open to vent the fuel tank and permit the fuel vapors and the liquid fuel to flow out of the fuel tank; and a fuel separator configured to change a flow velocity of fuel flowing from the fuel tank to separate the fuel vapors from the liquid fuel, the fuel separator in fluid communication with the fuel tank and the canister to direct the fuel vapors to the canister and direct the liquid fuel away from the canister.

A vehicle emissions control system including: a fuel tank; a canister including a material configured to absorb fuel vapors released from liquid fuel stored within the fuel tank; a pressure relief valve configured to open to vent the fuel tank and permit the fuel vapors and the liquid fuel to flow out of the fuel tank; and a fuel separator configured to change a flow velocity of fuel flowing from the fuel tank to separate the fuel vapors from the liquid fuel, the fuel separator in fluid communication with the fuel tank and the canister to direct the fuel vapors to the canister and direct the liquid fuel away from the canister.

The invention provides an intelligent collaborative emission control system applied to heavy vehicles, and belongs to the technical field of heavy vehicle emission control, and the system comprises a data sensing unit, a data interaction unit, a cloud intelligent decision module, an instruction execution unit and an online diagnosis and fault tolerance unit. Operation and emission data are collected through sensors arranged on an engine and a post-processing system, and are uploaded to a cloud platform through vehicle-mounted communication; the cloud end predicts the emission trend based on the LSTM neural network, generates a dynamic control strategy in combination with a multi-objective optimization algorithm, and automatically matches local emission regulations according to the geographic position of the vehicle; the instruction execution unit is used for cooperatively regulating and controlling an engine, a crankcase ventilation valve and a fuel evaporation system; and the online diagnosis unit monitors the state of the system in real time to realize fault diagnosis and fault-tolerant control. According to the invention, intelligent, self-adaptive and compliant control of emission under all working conditions can be realized.

This invention belongs to the field of vehicle emission control technology, specifically relating to a method, equipment, and medium for designing low-carbon highway routes based on ecological speed control. The method includes: collecting vehicle operation and CO2 emission data on plateau highways through real-vehicle tests; constructing a road segment CO2 cumulative emission prediction model based on the DistilBERT framework; identifying speed squared difference as a key influencing factor using Sobol sensitivity analysis; formulating ecological speed control strategies for different operating conditions using Bayesian optimization, and setting a critical value for speed squared difference; finally, applying this strategy in the route design stage to identify and optimize high-emission alignment units, improving operational speed coordination. This invention is the first to deeply integrate a lightweight large-scale model with ecological speed control, solving the problem of accurate prediction of vehicle carbon emissions and proactive carbon control at the front end of route design in complex plateau environments, achieving the goal of reducing operational carbon emissions from the source of road alignment.

The present disclosure relates to an evaporative emissions control system. A vehicle emissions control system includes: a fuel tank; a canister comprising a material configured to absorb fuel vapors released from the liquid fuel stored within the fuel tank; a pressure relief valve configured to open to provide a vent for the fuel tank and to permit fuel vapor and liquid fuel to flow out of the fuel tank; and a fuel separator configured to vary a flow velocity of fuel flowing from the fuel tank to separate fuel vapors from liquid fuel, the fuel separator in fluid communication with the fuel tank and the canister to direct the fuel vapors to the canister and direct the liquid fuel away from the canister.

A vehicle emission control system comprising: a fuel tank; a canister comprising a material designed to absorb fuel vapors released from the liquid fuel stored in the fuel tank; a pressure relief valve designed to open to vent the fuel tank and allow the fuel vapors and liquid fuel to flow out of the fuel tank; and a fuel separator designed to change the flow rate of the fuel flowing out of the fuel tank in order to separate the fuel vapors from the liquid fuel, the fuel separator being in fluid communication with the fuel tank and the canister to direct the fuel vapors to the canister and the liquid fuel away from the canister.