Diesel vehicle tail gas purification system based on catalytic oxidation cooperating with plasma

Abstract

The invention relates to the technical field of automobile tail gas purification, and particularly discloses a diesel vehicle tail gas purification system based on catalytic oxidation and plasma, which comprises a photo-thermal excitation enhancement module, an ozone circulation and micro-reaction module, a microwave-ultrasonic coupling regeneration module and a multi-sensor fusion and AI dynamic control module, an anti-sulfur poisoning module; and a data recording and remote diagnosis module. Through the synergistic effect of plasma pretreatment and photo-thermal excitation, various high-concentration active oxides can be generated before tail gas enters a catalyst layer. At catalytic active sites, the free radicals further excite the surface reaction, so that the oxidation kinetics in normal-temperature and low-temperature sections is obviously accelerated, and the starting sensitivity and conversion rate of the whole system are improved; a double-layer functional catalyst design is adopted, monovalent hydrocarbon, divalent hydrocarbon and carbon monoxide are preferentially oxidized in a high-temperature section, and selective adsorption and conversion of nitrogen oxides are enhanced in a medium-low-temperature section.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of automobile exhaust purification, and particularly relates to a diesel vehicle exhaust purification system based on catalytic oxidation and plasma. BACKGROUND

[0002] At present, diesel vehicle exhaust emission control has become one of the important challenges faced by the automobile industry. Diesel vehicle exhaust contains various harmful pollutants, such as carbon monoxide (CO), hydrocarbons (HC), nitrogen oxides (NO x ) and particulate matter (PM), etc., which cause serious harm to the environment and human health. Therefore, it is of great practical significance to develop an efficient and reliable diesel vehicle exhaust purification system.

[0003] In the prior art, diesel vehicle exhaust purification mainly relies on catalytic oxidation technology. However, traditional catalytic oxidation technology has many shortcomings. First, in low temperature environment, the activity of the catalyst is often low, resulting in low efficiency of oxidation conversion of pollutants. Especially in the engine cold start stage, the exhaust temperature is low, and the traditional catalyst is difficult to quickly and effectively treat the pollutants, so that a large amount of pollutants are directly discharged into the atmosphere without sufficient purification, causing serious environmental pollution.

[0004] Secondly, the existing technology lacks precise synergistic purification ability when dealing with multiple pollutants. The composition of diesel vehicle exhaust is complex, and the oxidation conversion conditions of different pollutants are different. Traditional technology is difficult to optimally distribute and treat various pollutants in different temperature zones, and cannot realize efficient synergistic purification of multiple pollutants, resulting in unsatisfactory overall purification effect.

[0005] Furthermore, energy consumption is also a big problem of the existing technology. In order to maintain the activity of the catalyst and ensure the purification effect, the traditional exhaust purification system usually needs to consume a large amount of energy. In the stable running state, there is often excess energy output, causing energy waste. At the same time, in the case of sudden high load, the existing system is difficult to respond quickly, and cannot adjust the working parameters in time to adapt to the emission fluctuation, so it is difficult to balance between energy saving and stability.

[0006] In addition, diesel vehicle exhaust usually contains a certain amount of sulfur element, which is easy to react with the active center of the catalyst, causing catalyst poisoning and deactivation, thereby reducing the purification performance and service life of the system. The existing technology performs poorly in terms of sulfur poisoning resistance, and needs frequent system maintenance, increasing the use cost and vehicle downtime.

[0007] To this end, the present application proposes a diesel vehicle exhaust purification system based on catalytic oxidation and plasma to solve the above problems. SUMMARY

[0008] The purpose of the present invention is to provide a diesel vehicle exhaust purification system based on catalytic oxidation cooperative plasma to solve the problems raised in the above background technology.

[0009] To achieve the above object, the present invention provides the following technical solutions:

[0010] A diesel vehicle exhaust purification system based on catalytic oxidation synergistic plasma, comprising:

[0011] a photothermal excitation enhancement module for performing dielectric barrier discharge pretreatment on untreated exhaust gas from the engine to obtain an intermediate product A, and for performing ultraviolet-near infrared light irradiation and microwave synchronous excitation treatment on the intermediate product A to generate an intermediate product B;

[0012] Ozone cycle and micro-reaction module, used for high temperature CO / HC oxidation and low temperature NO x Oxidation to obtain an intermediate product C, recycling the ozone generated by the plasma to deeply oxidize the intermediate product C to obtain an intermediate product D;

[0013] A microwave-ultrasonic coupling regeneration module is used to perform an online regeneration process on the intermediate product D when the diesel particulate filter is clogged to obtain a restored state;

[0014] A multi-sensor fusion and AI dynamic control module is used to predict the pollutant load based on the sensor data of the intermediate product D and the recovery state and dynamically adjust the parameters of each module, generate control instructions based on the LSTM model, and obtain control parameters;

[0015] The anti-sulfur poisoning module is used to fix sulfur elements by carrier doping to maintain the long-term stability of the catalyst in a high-sulfur environment;

[0016] The data recording and remote diagnosis module is used to record the intermediate product D, the long-term stable state and control parameters, and upload and generate a remote diagnosis report.

[0017] Preferably, the generating of control instructions based on the LSTM model to obtain control parameters includes: using the LSTM model to perform load prediction on exhaust pollutants to obtain prediction results, and generating control instructions based on the prediction results to predict the pollutant peak one step ahead, wherein the LSTM model formula is:

[0018]

[0019] in, Pollutant load predicted at time t+1 (unit: mg / m 3 );

[0020] Lt-i (i=0,…,n-1): measured pollutant load at historical time ti;

[0021] n: The historical step length of the model input. For example, n = 10 means using the data of the previous 10 moments.

[0022] Θ: LSTM network weight parameter set, including input gate, forget gate, output gate, candidate state weight matrix and bias vector.

[0023] Preferably, the method for predicting pollutant load based on the sensor data of the intermediate product D and the recovery state and dynamically adjusting the parameters of each module includes: using a dynamic energy optimization control equation to predict the pollutant load based on the predicted load Dynamically adjust plasma power;

[0024] The formula of the dynamic energy optimization control equation is:

[0025]

[0026] Wherein, Pplasma(t): plasma unit output power at time t (%);

[0027] Pbase: basic power setting value (usually 30%), corresponding to the energy consumption balance under normal operating conditions;

[0028] Kp: Proportional gain coefficient, used to adjust power sensitivity (range 0.5–2.0);

[0029] The predicted pollutant load at time t;

[0030] Lref: Reference target load (mg / m 3 ), which is the maximum allowable emission threshold for the system design.

[0031] when (Risk of exceeding emission standards), the power increase is Rapidly increase the generation of active particles;

[0032] like Then maintain or slightly lower than Pbase, saving energy.

[0033] Preferably, the recycling of ozone generated by plasma to deeply oxidize the intermediate product C includes: using an ozone generation rate model to calculate the active ozone generation efficiency to provide a stable oxidation capacity for the subsequent catalytic unit while preventing ozone escape;

[0034] The calculation formula of the ozone generation rate model is:

[0035] rO3=KDBDPinexp(-βTgas)

[0036] Among them, rO3: volume rate of ozone generation (mmol·L-1·s -1 );

[0037] kDBD: dielectric barrier discharge constant, which depends on the electrode structure (honeycomb gap, dielectric constant, etc.);

[0038] Pin: input electric power density (W·L-1), that is, the electric power applied per unit gas volume;

[0039] Tgas: gas temperature in the discharge region (K);

[0040] β: Temperature attenuation coefficient, characterizing the increase in ozone decomposition with increasing temperature (typical value is about 0.01K -1 ).

[0041] Preferably, the plasma pretreatment module adopts a honeycomb electrode dielectric barrier discharge structure, combined with an adjustable pulse power supply (frequency 1-10kHz), to achieve active particle generation with energy consumption less than 50W / L.

[0042] Preferably, the photothermal excitation enhancement module includes a UV-LED irradiation area (wavelength 280-320 nm) and a 2.45 GHz microwave field resonance area, so that the free radical concentration in the intermediate product B is increased by ≥30% compared with A.

[0043] Preferably, the ozone cycle and micro-reaction module is used to perform high-temperature CO / HC oxidation and low-temperature NO x The bottom layer of intermediate product C is CeO2–ZrO2–Al2O3 supported by Pt–Pd (0.5–1.5 wt%), which catalyzes high-temperature (>250°C) CO / HC oxidation; the surface layer is plasma-preactivated MnOx–Co3O4 nanowire arrays, which enhance NO oxidation at >150°C. x Adsorption and oxidation.

[0044] Preferably, the ozone circulation and micro-reaction module introduces O3 into the catalytic unit through a closed pipeline, and relies on MnOx surface catalysis to decompose O3 into O2 and O·, so that the ozone escape in the exhaust gas is less than 5ppm.

[0045] Preferably, when the microwave-ultrasonic coupling regeneration module detects that the DPF pressure difference exceeds a preset threshold, it starts 2.45GHz microwave and 20-40kHz ultrasound in parallel, with a regeneration time of ≤10s and raises the temperature to 600°C to restore the state.

[0046] Preferably, the multi-sensor fusion and AI dynamic control module includes NO xA lambda-type electrochemical sensor, a PM piezoelectric microbalance, a temperature / pressure array, and an LSTM-based decision unit are used to predict pollutant loads and generate control parameters to dynamically adjust plasma power (0–100%) and catalytic temperature (150–400°C).

[0047] Compared with the prior art, the present invention has the following beneficial effects:

[0048] (1) The present invention can produce high concentrations of multiple active oxidative species before the exhaust gas enters the catalytic layer through the synergistic effect of plasma pretreatment and photothermal excitation. At the catalytic active sites, these free radicals further stimulate surface reactions, significantly accelerating the oxidation kinetics in the normal temperature and low temperature sections, and improving the startup sensitivity and conversion rate of the entire system; a double-layer functional catalyst design is adopted to preferentially oxidize monovalent and divalent hydrocarbons and carbon monoxide in the high temperature section, while enhancing the selective adsorption and conversion of nitrogen oxides in the medium and low temperature sections. The nano-scale rough surface formed by plasma bombardment can guide the pollutant molecules to be optimally distributed and processed in different temperature zones, achieving precise and coordinated purification of multiple pollutants.

[0049] (2) The present invention is based on feedback control of multiple sensors and timing networks, which can predict emission fluctuations in real time and dynamically adjust plasma power and catalytic temperature with the minimum necessary energy consumption. This closed-loop strategy can meet the needs of rapid response during sudden high loads and reduce excess output under stable conditions, achieving a balance between energy saving and stability. During the cold start phase of the engine, the ozone and plasma work together to pre-oxidize difficult-to-convert nitrogen oxides into easily adsorbable forms, providing good reaction precursors for the subsequent catalytic stage. This move breaks through the bottleneck of insufficient activity of traditional catalysts in the low-temperature stage and significantly shortens the effective start-up delay of exhaust gas purification.

[0050] (3) The present invention introduces a rare earth doping strategy to form sites that preferentially bind to sulfur in the carrier structure, thereby inhibiting sulfur from invading the active centers and enabling the catalyst to maintain long-term activity in a high-sulfur environment. This design reduces the frequency of system maintenance and improves the reliability and economy of vehicle operation. The microwave-ultrasonic coupling regeneration technology can quickly remove carbon deposits and particulate matter blockages without disassembling the filter, enabling on-site online maintenance. This method takes into account both the regeneration rate and the equipment life, ensuring that the emission control unit is in good condition for a long time and avoiding emission leakage caused by regeneration shutdown. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] Figure 1 This is a block diagram of the composition of a diesel vehicle exhaust purification system based on catalytic oxidation cooperative plasma of the present invention. DETAILED DESCRIPTION

[0052] The following will provide a clear and complete description of the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0053] Example 1:

[0054] See also Figure 1 As shown, a diesel vehicle exhaust purification system based on catalytic oxidation cooperative plasma includes:

[0055] a photothermal excitation enhancement module for performing dielectric barrier discharge pretreatment on untreated exhaust gas from the engine to obtain an intermediate product A, and for performing ultraviolet-near infrared light irradiation and microwave synchronous excitation treatment on the intermediate product A to generate an intermediate product B;

[0056] Ozone cycle and micro-reaction module, used for high temperature CO / HC oxidation and low temperature NO x Oxidation to obtain an intermediate product C, recycling the ozone generated by the plasma to deeply oxidize the intermediate product C to obtain an intermediate product D;

[0057] The recycling of ozone generated by the plasma to deeply oxidize the intermediate product C includes: using an ozone generation rate model to calculate the active ozone generation efficiency to provide a stable oxidation capacity for the subsequent catalytic unit while preventing ozone escape;

[0058] The calculation formula of the ozone generation rate model is:

[0059] rO3=KDBDPinexp(-βTgas)

[0060] Where rO3: volume rate of ozone generation (mmol·L -1 ·s -1 );

[0061] kDBD: dielectric barrier discharge constant, which depends on the electrode structure (honeycomb gap, dielectric constant, etc.);

[0062] Pin: Input power density (W·L -1 ), which is the electrical power applied per unit volume of gas;

[0063] Tgas: gas temperature in the discharge region (K);

[0064] β: Temperature attenuation coefficient, characterizing the increase in ozone decomposition with increasing temperature (typical value is about 0.01K -1 ).

[0065] Under variable load road conditions, the exhaust gas flow rate and temperature fluctuate greatly. This model can be used to calculate the ozone concentration output by the current module in real time, and by adjusting the Pin or cooling mechanism, the rO3 is always maintained in the optimal window (for example, 0.5–1.0mmol·L -1 ·s -1 ), thereby providing stable oxidation capacity for the subsequent catalytic unit and preventing ozone from escaping;

[0066] A microwave-ultrasonic coupling regeneration module is used to perform an online regeneration process on the intermediate product D when the diesel particulate filter is clogged to obtain a restored state;

[0067] A multi-sensor fusion and AI dynamic control module is used to predict the pollutant load based on the sensor data of the intermediate product D and the recovery state and dynamically adjust the parameters of each module, generate control instructions based on the LSTM model, and obtain control parameters;

[0068] The LSTM model-based control instruction is generated to obtain control parameters, including: using the LSTM model to perform load prediction on exhaust pollutants to obtain a prediction result, and generating a control instruction based on the prediction result to predict the pollutant peak one step ahead. The LSTM model formula is:

[0069]

[0070] in, Pollutant load predicted at time t+1 (unit: mg / m 3 );

[0071] Lt-i (i=0,…,n-1): measured pollutant load at historical time ti;

[0072] n: The historical step length of the model input. For example, n = 10 means using the data of the previous 10 moments.

[0073] Θ: LSTM network weight parameter set, including input gate, forget gate, output gate, candidate state weight matrix and bias vector;

[0074] When driving at high speeds or in sudden changes in operating conditions (such as accelerating uphill or in low-speed congestion), exhaust emissions can fluctuate rapidly. This formula uses time-series data modeling to predict pollutant peaks one step ahead (such as 1 second or 5 seconds). This helps the control module dynamically adjust plasma power and catalytic temperature, achieving "advance compensation" and avoiding excessive emissions caused by delayed processing.

[0075] The method for predicting the pollutant load based on the sensor data of the intermediate product D and the recovery state and dynamically adjusting the parameters of each module includes: using a dynamic energy optimization control equation to predict the pollutant load based on the predicted load Dynamically adjust plasma power;

[0076] The formula of the dynamic energy optimization control equation is:

[0077]

[0078] Wherein, Pplasma(t): plasma unit output power at time t (%);

[0079] Pbase: basic power setting value (usually 30%), corresponding to the energy consumption balance under normal operating conditions;

[0080] Kp: Proportional gain coefficient, used to adjust power sensitivity (range 0.5–2.0);

[0081] The predicted pollutant load at time t;

[0082] Lref: Reference target load (mg / m 3 ), which is the maximum allowable emission threshold for the system design.

[0083] when (Risk of exceeding emission standards), the power increase is Rapidly increase the generation of active particles;

[0084] like Then maintain or slightly lower than Pbase, saving energy;

[0085] Through real-time closed-loop control, the system can achieve "difference amplification" or "energy-saving fallback" of plasma power, allowing the system to respond quickly during peak pollution loads and automatically reduce power consumption during low loads, reducing average energy consumption by approximately 40% compared to the traditional constant power mode.

[0086] The anti-sulfur poisoning module is used to fix sulfur elements by carrier doping to maintain the long-term stability of the catalyst in a high-sulfur environment;

[0087] The data recording and remote diagnosis module is used to record the intermediate product D, the long-term stable state and control parameters, and upload and generate a remote diagnosis report.

[0088] Specifically, the plasma pretreatment module adopts a honeycomb electrode dielectric barrier discharge structure and is combined with an adjustable pulse power supply (frequency 1-10kHz) to achieve active particle generation with an energy consumption of less than 50W / L.

[0089] Specifically, the photothermal excitation enhancement module includes a UV-LED irradiation area (wavelength 280-320nm) and a 2.45GHz microwave field resonance area, which increases the free radical concentration in the intermediate product B by ≥30% compared with A.

[0090] Specifically, the ozone cycle and micro-reaction module is used to perform high-temperature CO / HC oxidation and low-temperature NO x The bottom layer of intermediate product C is CeO2–ZrO2–Al2O3 supported by Pt–Pd (0.5–1.5 wt%), which catalyzes high-temperature (>250°C) CO / HC oxidation; the surface layer is plasma-preactivated MnOx–Co3O4 nanowire arrays, which enhance NO oxidation at >150°C. x Adsorption and oxidation.

[0091] Specifically, the ozone circulation and micro-reaction module introduces O3 into the catalytic unit through a closed pipeline, and relies on MnOx surface catalysis to decompose O3 into O2 and O·, so that the ozone escape in the exhaust gas is less than 5ppm.

[0092] Specifically, when the microwave-ultrasonic coupling regeneration module detects that the DPF pressure difference exceeds a preset threshold, it starts 2.45GHz microwaves and 20-40kHz ultrasound in parallel, with a regeneration time of ≤10s and the temperature is raised to 600°C to restore the state.

[0093] Specifically, the multi-sensor fusion and AI dynamic control module includes NO x A lambda-type electrochemical sensor, a PM piezoelectric microbalance, a temperature / pressure array, and an LSTM-based decision unit are used to predict pollutant loads and generate control parameters to dynamically adjust plasma power (0–100%) and catalytic temperature (150–400°C).

[0094] As can be seen above, the synergistic effect of plasma pretreatment and photothermal excitation can generate high concentrations of multiple active oxidative species before the exhaust enters the catalyst layer. At the catalytic active sites, these free radicals further stimulate surface reactions, significantly accelerating oxidation kinetics at both room and low temperatures, improving the startup sensitivity and conversion rate of the entire system.

[0095] The dual-layer catalyst design prioritizes the oxidation of monovalent and divalent hydrocarbons and carbon monoxide at high temperatures, while enhancing the selective adsorption and conversion of nitrogen oxides at medium and low temperatures. The nanoscale roughened surface created by plasma bombardment guides pollutant molecules to optimally distribute and process them across different temperature zones, achieving precise, coordinated purification of multiple pollutants.

[0096] Example 2:

[0097] Urban driving cycle (congestion-start-low speed driving)

[0098] 1. Experimental conditions and data acquisition

[0099] Working condition description: The vehicle simulates congestion on urban roads - starts - low speed (<30km / h) cycle, with a displacement of 2.0L diesel engine.

[0100] Sampling frequency: sensor data 1s / time.

[0101] Main sensors:

[0102] NO x λ-type electrochemical sensor (SNO x )

[0103] PM Piezoelectric Microbalance (Spm)

[0104] Exhaust temperature sensor (Texh)

[0105] Exhaust flow rate sensor (Vexh h )

[0106] 2. System parameter settings are shown in Table 1 below:

[0107] Table 1

[0108]

[0109] 3. Calculation Process Example

[0110] Pollutant load prediction

[0111] Use the most recent n=10s NO x Concentration Lt-i:

[0112] {45,50,55,60,58,57,59,62,65,68}mg / m 3 Predict the load of the next second through the trained LSTM (parameter Θ)

[0113] Plasma power adjustment

[0114] Reference load threshold Lref=50mg / m3

[0115] Basic power Pbase=30%

[0116] Proportional gain Kp = 1.2

[0117] calculate:

[0118] Pplasma=30%+1.2×(70-50)=30%+24%=54%

[0119] Ozone generation rate dielectric barrier discharge constant kDBD=0.02(L·s·mmol -1 W -1 ) Gas temperature Tgas = 350K

[0120] Substituting into the formula:

[0121] rO3=0.02×40×exp(-0.01×350)

[0122] ≈0.02×40×e-3.5

[0123] ≈0.8mmol\cdotpL -1 \cdotps -1

[0124] The purification effect statistics are shown in Table 2 below:

[0125] Table 2

[0126]

[0127]

[0128] As can be seen above, feedback control based on multiple sensors and a timing network can predict emission fluctuations in real time and dynamically adjust plasma power and catalytic temperature with minimal necessary energy consumption. This closed-loop strategy ensures rapid response to sudden high loads while reducing excess output in stable conditions, achieving a balance between energy conservation and stability.

[0129] During the engine's cold start phase, ozone and plasma work together to pre-oxidize difficult-to-convert nitrogen oxides into easily adsorbable forms, providing a good precursor for subsequent catalytic steps. This overcomes the bottleneck of traditional catalysts' insufficient activity at low temperatures and significantly shortens the effective start-up delay for exhaust gas purification.

[0130] Example 3:

[0131] High-speed operation + cold start + high sulfur emissions

[0132] 1. Experimental conditions and data acquisition

[0133] Working condition description: The vehicle is continuously driven at high speed (>90km / h) while undergoing cold start phase and high sulfur content (SO2≈500ppm) simulated emission tests.

[0134] Data collection: Same as Example 1, but with an additional SO2 online analyzer (S SO2 ).

[0135] 2. System parameter settings are shown in Table 3 below

[0136] Table 3

[0137]

[0138] 3. NO2 generation during cold start phase

[0139] Initial NO concentration 80 mg / m 3 , exhaust temperature 100℃

[0140] Ozone assisted mode:

[0141]

[0142] Anti-poisoning performance in high sulfur environment

[0143] Measured SO2 concentration: 500ppm

[0144] After La2O3 doping, the activity is maintained after 1000h continuous operation:

[0145]

[0146] Waste heat recovery electricity

[0147] Exothermic temperature range: 300–500°C

[0148] Thermoelectric efficiency: 16%

[0149] Estimated recovered electrical power:

[0150] PTEG = Q reaction × 16% ≈ 5kW × 0.16 = 0.8kW

[0151] The comparison of purification performance is shown in Table 4 below:

[0152]

[0153] Comparison of technical effects:

[0154] Emission reduction efficiency: NO under two working conditions x , CO, and HC all exceeded 80–95% removal rate, and PM removal rate was >99%.

[0155] Reduced energy consumption: Compared with the traditional SCR and DPF combination, the system's average energy consumption is reduced by 40–45% under both operating conditions.

[0156] Stability: The anti-sulfur poisoning performance retention rate is >80%, and the system is stable in the long term; the regeneration module can quickly remove carbon deposits within 10 seconds; waste heat recovery can provide ≈0.8kW of additional electricity.

[0157] As can be seen from the above, the introduction of a rare earth doping strategy creates sites within the support structure that preferentially bind sulfur, inhibiting sulfur from occupying active centers and enabling the catalyst to maintain long-term activity even in high-sulfur environments. This design reduces system maintenance frequency and improves vehicle reliability and economic efficiency.

[0158] Microwave-ultrasonic coupled regeneration technology quickly removes carbon deposits and particulate matter blockages without removing the filter, enabling on-site online maintenance. This method balances regeneration rate with equipment life, ensuring the emission control unit remains in optimal condition over the long term and preventing emissions leaks caused by regeneration downtime.

[0159] In the description of this specification, the reference terms "one embodiment", "some embodiments", "examples", "specific examples" or "some examples" mean that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic expressions of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art can combine and combine different embodiments or examples described in this specification and features of different embodiments or examples without contradiction.

[0160] In the drawings of the embodiments disclosed in the present invention, only the structures related to the embodiments disclosed in the present invention are involved. Other structures can refer to the general design. In the absence of conflict, the same embodiment and different embodiments of the present invention can be combined with each other.

[0161] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. A diesel vehicle exhaust purification system based on catalytic oxidation synergistic plasma, characterized in that: include: a photothermal excitation enhancement module for performing dielectric barrier discharge pretreatment on untreated exhaust gas from the engine to obtain an intermediate product A, and for performing ultraviolet-near infrared light irradiation and microwave synchronous excitation treatment on the intermediate product A to generate an intermediate product B; Ozone cycle and micro-reaction module, used for high temperature CO / HC oxidation and low temperature NO x Oxidation to obtain an intermediate product C, recycling the ozone generated by the plasma to deeply oxidize the intermediate product C to obtain an intermediate product D; A microwave-ultrasonic coupling regeneration module is used to perform an online regeneration process on the intermediate product D when the diesel particulate filter is clogged to obtain a restored state; A multi-sensor fusion and AI dynamic control module is used to predict the pollutant load based on the sensor data of the intermediate product D and the recovery state and dynamically adjust the parameters of each module, generate control instructions based on the LSTM model, and obtain control parameters; The anti-sulfur poisoning module is used to fix sulfur elements by carrier doping to maintain the long-term stability of the catalyst in a high-sulfur environment; The data recording and remote diagnosis module is used to record the intermediate product D, the long-term stable state and control parameters, and upload and generate a remote diagnosis report.

2. A diesel vehicle exhaust purification system based on catalytic oxidation cooperative plasma according to claim 1, characterized in that: The generating of control instructions based on the LSTM model to obtain control parameters includes: using the LSTM model to perform load prediction on exhaust pollutants to obtain a prediction result, and generating a control instruction based on the prediction result to predict the pollutant peak value one step ahead. The LSTM model formula is: in, The pollutant load predicted at time t+1; Lt-i (i=0,…,n-1): measured pollutant load at historical time ti; n: The historical step length of the model input. For example, n = 10 means using the data of the previous 10 moments. Θ: LSTM network weight parameter set, including input gate, forget gate, output gate, candidate state weight matrix and bias vector.

3. The diesel vehicle exhaust purification system based on catalytic oxidation cooperative plasma according to claim 1, characterized in that: The method for predicting pollutant load based on the sensor data of the intermediate product D and the recovery state and dynamically adjusting the parameters of each module includes: using a dynamic energy optimization control equation to predict the pollutant load based on the predicted load Dynamically adjust plasma power; The formula of the dynamic energy optimization control equation is: Wherein, Pplasma(t): output power of plasma unit at time t, %; Pbase: basic power setting value, corresponding to the energy consumption balance under normal working conditions; Kp: Proportional gain coefficient, used to adjust power sensitivity; The predicted pollutant load at time t; Lref: reference target load, mg / m 3 , which is the maximum allowable emission threshold for the system design; when The power increase is Rapidly increase the generation of active particles; like Then maintain or be lower than Pbase, saving energy.

4. A diesel vehicle exhaust purification system based on catalytic oxidation cooperative plasma according to claim 1, characterized in that: The recycling of ozone generated by the plasma to deeply oxidize the intermediate product C includes: using an ozone generation rate model to calculate the active ozone generation efficiency to provide a stable oxidation capacity for the subsequent catalytic unit while preventing ozone escape; The calculation formula of the ozone generation rate model is: rO3=KDBDPinexp(-βTgas) Where rO3: volume rate of ozone generation, mmol·L -1 ·s -1 ; kDBD: dielectric barrier discharge constant, depends on the electrode structure; Pin: Input power density, W·L -1 , that is, the electrical power applied per unit gas volume; Tgas: gas temperature in the discharge region, K; β: Temperature attenuation coefficient, which indicates that ozone decomposition increases with increasing temperature.

5. The diesel vehicle exhaust purification system based on catalytic oxidation cooperative plasma according to claim 1, characterized in that: The plasma pretreatment module adopts a honeycomb electrode dielectric barrier discharge structure and cooperates with an adjustable pulse power supply to achieve active particle generation with an energy consumption of less than 50W / L.

6. The diesel vehicle exhaust purification system based on catalytic oxidation cooperative plasma according to claim 1, characterized in that: The photothermal excitation enhancement module includes a UV-LED irradiation area and a 2.45GHz microwave field resonance area, which increases the free radical concentration in the intermediate product B by ≥30% compared with A.

7. The diesel vehicle exhaust purification system based on catalytic oxidation cooperative plasma according to claim 1, characterized in that: The ozone cycle and micro-reaction module is used to perform high-temperature CO / HC oxidation and low-temperature NO x The bottom layer of intermediate product C is CeO2–ZrO2–Al2O3 supported by Pt–Pd catalyzing high-temperature CO / HC oxidation; the surface layer is plasma-preactivated MnOx–Co3O4 nanowire array, which enhances NO oxidation at >150°C. x Adsorption and oxidation.

8. The diesel vehicle exhaust purification system based on catalytic oxidation cooperative plasma according to claim 1, characterized in that: The ozone circulation and micro-reaction module introduces O3 into the catalytic unit through a closed pipeline, and relies on MnOx surface catalysis to decompose O3 into O2 and O·, so that the ozone escape in the exhaust gas is less than 5ppm.

9. The diesel vehicle exhaust purification system based on catalytic oxidation cooperative plasma according to claim 1, characterized in that: When the microwave-ultrasonic coupling regeneration module detects that the DPF pressure difference exceeds a preset threshold, it starts 2.45GHz microwaves and 20-40kHz ultrasound in parallel, with a regeneration time of ≤10s and the temperature is raised to 600°C to restore the state.

10. The diesel vehicle exhaust purification system based on catalytic oxidation cooperative plasma according to claim 1, characterized in that: The multi-sensor fusion and AI dynamic control module includes NO x Lambda electrochemical sensors, PM piezoelectric microbalance, temperature and pressure arrays, and LSTM-based decision-making units are used to predict pollutant loads and generate control parameters to dynamically adjust plasma power and catalytic temperature.

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