488results about How to "Improve emission effect" patented technology

There is provided a quantum dot wavelength converter including a quantum dot, which is optically stable without any change in an emission wavelength and improved in emission capability. The quantum dot wavelength converter includes: a wavelength converting part including a quantum dot wavelength-converting excitation light and generating a wavelength-converted light and a dispersive medium dispersing the quantum dot; and a sealer sealing the wavelength converting part.

A method of improving emission performance of a gas turbine is provided. The method includes recirculating a portion of an exhaust gas stream to a compressor of the gas turbine via an exhaust gas recirculating system, to reduce concentration of oxygen in a high pressure feed oxidant stream into a combustor of the gas turbine. The method further includes adding diluent to at least one of a fuel stream directed to the combustor or a low pressure feed oxidant stream directed to the compressor, to reduce concentration of oxides of nitrogen (NOx) and increase concentration of carbon dioxide in a resultant exhaust gas stream.

The invention discloses a method for controlling hybrid power urban buses. The method comprises the steps of off-line optimizing and on-line controlling. The idea of control strategy switching is put forward, driving reference working conditions targeting regions and more conforming to actual bus driving routes are established, off-line overall optimizing is carried out based on the working conditions, the optimum control effect can be achieved, and the problem that the dynamic planning cannot be applied to on-line and real-time control because the calculated quantity of the dynamic planning is large is solved. When the hybrid buses are driven actually, whether the similarities between the actual driving working conditions and the established driving reference working conditions and between the road prediction working conditions and the established driving reference working conditions are judged on line, if yes, real-time torque distribution is carried out on the hybrid power urban buses by calling dynamic planning optimum control parameters stored in a bus main controller, or otherwise, control strategies are switched, on-line and real-time control is carried out on the buses by adopting the fuzzy logic rule control strategy which is high in self-adaptability and realizability, and accordingly the control strategy adaptation is improved.

There is provided a quantum dot wavelength converter including a quantum dot, which is optically stable without any change in an emission wavelength and improved in emission capability. The quantum dot wavelength converter includes: a wavelength converting part including a quantum dot wavelength-converting excitation light and generating a wavelength-converted light and a dispersive medium dispersing the quantum dot; and a sealer sealing the wavelength converting part.

A dosing apparatus with purging means for delivering reductant into an exhaust gas treatment system of an internal combustion engine. The apparatus includes a first Venturi T connector with two high pressure ports and a low pressure port, and a purge control valve for switching from normal dosing to purging by controlling flow through the two high pressure ports. The apparatus may also include a second Venturi T connector and a reductant supply chamber for purging reductant residue in its pump and reductant passage lines. The apparatus may further include a purging controller that triggers a purging event according to engine oil or coolant temperature and controls the purging process after a dosing process completes.

The invention provides a series-parallel combined type hybrid power assembly (1), which comprises an engine (2), a first air compressor (21), a first power-assisted steering oil pump (22), a first motor (4), a first motor controller (8), a main clutch (20), a second motor (6), a second motor controller (10), a second air compressor (61), a second power-assisted steering oil pump (62), an air condition compressor (63), a first electromagnetic clutch (24), a second electromagnetic clutch (26), a third electromagnetic clutch (27), a fourth electromagnetic clutch (28), a first belt wheel train (23), a second belt wheel train (25) and an electric power storage device (12). The engine (2) comprises a starter (201), the first electromagnetic clutch (24) controls working conditions of the second motor (6), the second electromagnetic clutch (26) controls working conditions of the second air compressor (61), the third electromagnetic clutch (27) controls working conditions of the second power-assisted steering oil pump (62), and the fourth electromagnetic clutch (28) controls working conditions of the air condition compressor (63).

The invention discloses a hybrid electric vehicle control method. According to the hybrid electric vehicle control method, the operating mode of the whole vehicle is divided into a still mode, a starting mode, a constant-speed traveling mode, an acceleration / assisting mode, a deceleration / braking mode and a fuel cut-off mode. In the still mode, an engine is shut down, the speed ratio of a speed reducer reaches the maximum value, so that preparation is made for starting. In the starting mode, an ISG motor is used for driving the engine to start, so that the vehicle is started. In the constant-speed traveling mode, according to the SOC state of a battery and the speed of the vehicle, the vehicle travels at a constant low speed or a constant intermediate speed or a constant high speed, so that the engine runs in an economical area or a high-efficiency area. In the acceleration / assisting mode, the ISG motor supplies assisting power to the engine. In the deceleration / braking mode, the ISG motor is in the electricity generating state. In the fuel cut-off mode, fuel supply to the engine is cut off. According to the hybrid electric vehicle control method, the operating mode of the whole vehicle is detailed, the braking energy recovery function is achieved, fuel consumption of the whole vehicle is lowered, and emission is reduced.

The present invention provides a Group III nitride semiconductor light-emitting device exhibiting improved emission performance without increasing driving voltage. The Group III nitride semiconductor light-emitting device includes at least an n-type-layer-side cladding layer, a light-emitting layer, and a p-type-layer-side cladding layer, each of the layers being formed of a Group III nitride semiconductor. The n-type-layer-side cladding layer is a superlattice layer having a periodic structure including an InyGa1-yN (0<y<1) layer, an AlxGa1-xN (0<x<1) layer, and a GaN layer. The AlxGa1-xN (0<x<1) layer has such a thickness that electrons tunnel through the AlxGa1-xN layer and holes are confined in the light-emitting layer.

The invention relates to a hybrid car energy-saving prediction control method based on road gradient information. The method comprises the steps of acquiring real road position information, altitude and terrain information by virtue of a google map as system input, and establishing a real road gradient model; establishing a system dynamics model, and decoupling the system dynamics model to obtain an independent three-degree-of-freedom system model; embedding the real road gradient model to a hybrid car dynamics state space model to obtain a system mathematic model; realizing a control method by adopting a model prediction control theory, solving an optimum control problem by utilizing a numerical value simulation solution, adjusting and optimizing the energy flow of the hybrid car in an online mode according to the real car driving condition to obtain the optimum performance of a hybrid car system, adopting a planetary gear mechanism as an electronic stepless speed changer, enabling an engine to work at an optimum work site, and predicting a target storage battery charge state by utilizing road gradient information. The energy flow of the hybrid car is online adjusted, so that a purpose of saving energy and reducing emission can be realized.

The invention discloses a hybrid electric vehicle energy conservation predictive control method based on traffic signal lamp information. Real-time road grades and the traffic signal lamp information are acquired from the global positioning system and an intelligent transportation system to serve as system input, and a hybrid electric vehicle mathematic model is established to serve as a reference for predicting further vehicle states; a hybrid electric vehicle energy management optimal control problem is defined, and a functional equation for solving the optimum control quantity is provided; optimum control is fed back in real time to solve the optimum control quantity; under the condition of meeting hybrid electric vehicle storage battery electric quantity balance and rotation speed and torque physical limit restraints, energy flow of a hybrid electric vehicle is adjusted and optimized on line according to practical vehicle driving working conditions, the system optimal performance of the hybrid electric vehicle is obtained, a planetary gear mechanism is used to serve as an electric infinitely variable transmission, an engine is made to constantly work at the best operating point, road traffic information is used for predicting the charge state of a target storage battery, the energy flow of the hybrid electric vehicle is adjusted on line, and therefore the purposes of energy conservation and emission reduction are achieved.

The invention discloses a control system of a hybrid power bus and a motive power control method of the hybrid power bus. The system comprises a vehicle-mounted unit and a central server unit, wherein the vehicle-mounted unit is communicated with the central server unit through a vehicle internet and comprises an integral vehicle control module, a data collecting module and an information transmission module, and the central server unit comprises a work condition identification module and a storage response module. The running work condition information of a front bus on a certain road section is transmitted to the central server unit, the central server unit carries out work condition identification and storage, when a later bus passes the identical road section, the central server unit sends the work condition identification results of the front bus in the road section to the later bus according to the position information so that the control parameter regulation of the later bus can be realized, the defects of delay and inaccuracy of the method for carrying out the current bus control after the collected current bus information is identified are avoided, and the fuel economical efficiency and the emission performance of the vehicle are further improved.

The invention discloses an intelligent network joint hybrid vehicle formation control method based on a driving style, and relates to the field of intelligent network joint hybrid vehicles. The methodcomprises the following steps of: firstly, using a vehicle networking technology and an intelligent transportation system to obtain real-time information such as front and rear vehicle distance, roadspeed limit, traffic signal, etc., and using particle swarm optimization algorithm to solve an optimal vehicle speed; secondly, combining the error big data obtained through tracking target vehicle speed of the drivers with different driving styles, and using a BP neural network and a compensation algorithm to solve a command speed of a driving assistance system; and finally, controlling the engine and motor torque near the optimal torque through hybrid vehicle energy management. According to the intelligent network joint hybrid vehicle formation control method based on the driving style, theinstruction speed of the driving assistance system is solved, and real-time energy management control is performed on the hybrid vehicle according to the intelligent transportation system and the driving style of the driver, the purpose of improving the road passing capacity and the fuel economy of the vehicle is achieved, and a new direction is provided for the hybrid vehicle in combination withthe intelligent transportation environment and the intelligent assistance driving.

A method for producing a diamond having an acicular projection array structure on a surface thereof comprises the step of forming the acicular projection array structure on a surface of a diamond base material by treating the surface of the diamond base material by dry etching using oxygen gas. At least one dopant selected among boron (B), nitrogen (N), aluminum (Al), silicon (Si), phosphorus (P), sulfur (S), copper (Cu), arsenic (As), molybdenum (Mo), platinum (Pt) and gold (Au) is doped with a concentration of 1×1019 atoms / cm3 and more at least in a region near the surface of the diamond base material.

The invention discloses a hybrid electric vehicle energy-saving predictive control method based on platoons. The method includes acquiring real-time traffic information of the own vehicle and front vehicle from a global positioning system and an intelligent traffic system as system input; establishing a hybrid electric vehicle mathematical model serving as future vehicle state predication basis; defining the hybrid electric vehicle platoon optimal control problem, and providing a function equation to figure out an optimal control value; feeding back the optimal control in real time, figuring out the optimal control value, after the safe distance is met, acquiring the information to adjust and optimize hybrid electric vehicle energy flowing online according to the global positioning system, a radar, the intelligent traffic system and a vehicle communication system, and acquiring the optimal performance of the hybrid electric vehicles. A planetary gear mechanism serves as an electronic variable transmission, an engine is in the optimal operating point constantly, the front vehicle driving state is predicated through the road traffic information, the hybrid electric vehicle energy flowing is adjusted online, the purpose of energy saving and emission reduction is achieved; the method is different from a traditional fixed time headway control method, and a novel way is provided for improving the performance of a central controller of a hybrid electric vehicle management system.

The invention relates to a hybrid electric vehicle energy-saving predictive control method based on a vehicle-following model, in particular to an optical real-time hybrid electric vehicle control method. The method comprises the first step of performing information acquisition, the second step of performing vehicle modeling, the third step of formulating a control strategy, the fourth step of performing on-line optimal control, the fifth step of adjusting weight parameters and the sixth step of judging whether a goal is achieved, wherein with the development of automobile navigation and digital maps, optimization is simultaneously performed on the speed mode of the hybrid electric vehicle and an operating point of a drive device by utilizing traffic conditions of roads. The hybrid electric vehicle energy-saving predictive control method is different form a traditional method that only the operating point of a drive device is optimized, and the traditional control algorithm of a fixed vehicle pitch is still the mainstream under the condition of a vehicle exists in the front. The inventor puts forward the control strategy that the vehicle pitch floats above the minimum value, so that the DOF of the speed change of the vehicle is increased, it is made possible that the fuel economy of the hybrid electric vehicle is improved, and the generalized three-DOF model of the hybrid electric vehicle is put forward. In this way, general methodology guidance is provided for modeling of the hybrid electric vehicle.

The invention discloses a hybrid power control system for a vehicle, which comprises an engine, a first generator / motor, a second generator / motor, a power coupling and distributing device and a controller; the power coupling and distributing device is a combined mechanism comprising a planetary gear mechanism in a casing, a brake and a clutch, wherein the planetary gear mechanism comprises a sun wheel, a planet carrier, a tooth ring and a planetary wheel; the brake is arranged on the planet carrier and used for braking the planet carrier; the clutch is used for controlling the relative rotation between the sun wheel and the planet carrier; and an output shaft of the motor is connected with the planet carrier, a rotor of the first generator / motor is connected with the sun wheel, and a rotor of the second generator / motor is connected with the tooth ring directly or by a retarding mechanism. The invention realizes four drive modes of pure electric drive, series-parallel drive, pure engine drive and parallel drive of the vehicle by the hybrid power control system and enhances the dynamic property and the economy of the vehicle.

The invention relates to a hydrogen-gasoline blended fuel rotary engine and a control method, in particular to the hydrogen-gasoline blended fuel rotary engine and a control device, and belongs to the field of internal combustion engine control. The rotary engine main comprises an electronic control gasoline jetting system, an electronic control hydrogen jetting system, an ignition system and the like. The rotary engine has the advantages that existing electronic control jetting technologies of the internal combustion engine are applied to the rotary engine, and the fuel jetting and control under of the hydrogen-gasoline blended fuel rotary engine different working conditions are improved. In addition, due to the specific physical and chemical properties of hydrogen, the combustion of fuel can be improved, the oil consumption can be reduced, and meanwhile, the discharge of noxious substances can be reduced. The rotary engine and the control method have the advantages that the implementation manner is simple and feasible, the reliability and the stability are high, and the development prospects are good.

The invention discloses a method and a device for controlling gas supply of dual-fuel engine, which can effectively solve the problems of starting difficulty in northeast region, and applies closed-loop control to achieve a reasonable air-fuel ratio between air and fuel; when the temperature of coolant is increased, the supply of natural gas is cut off and liquefied gas is supplied for combustion, thus under the premise of ensuring the dynamic performance of the engine, gas is reasonably used; meanwhile, an electronic gas-saving gate device is used, which can overcome the drawbacks of engine accelerograph and guarantee securer and more efficient operation. The method for controlling gas supply of dual-fuel engine comprises the following steps: a softness controlling method for quickly cutting off natural gas and liquefied gas, a closed-loop controlling method for excess air ratio of the natural gas and the liquefied gas, an automatic repairing function for failure, and a bad condition self-learning controlling method. The device for controlling gas supply of dual-fuel engine comprises a supply system for natural gas and liquefied gas, a closed-loop actuator, a supply controlling module and a micro controller, a CAN communication module and a serial-port communication module.

The invention discloses a hybrid electric vehicle energy-saving predication control method based on decentralized control. The method comprises the following steps that real-time vehicle traffic information, real-time front vehicle traffic information and real-time rear vehicle traffic information are obtained from a global positioning system, an inter-vehicle communication system, a vehicle condition communication system and an intelligent traffic system to serve as system input; a hybrid electric vehicle queue driving decentralized control mathematical model is built to serve as a basis for predicating the state of a vehicle in the future; the hybrid electric vehicle decentralized control queue driving optimal control is defined, and a functional equation for solving the optimal control quantity is provided; the optimal control is fed back in real time, the optimal control quantity is solved, a planet gear mechanism is used as an electronic infinitely-variable transmission, and an engine works at the optimal working point; and road traffic information is applied to predicate the driving state of the front vehicle and the driving state of the rear vehicle, and energy flowing of the hybrid electric vehicle is adjusted online, so that the targets of energy saving and emission reduction are achieved, the calculation time is greatly shortened, and real-time control characteristics of the vehicle are improved.

The invention discloses an intelligent method for identifying the driving state of a hybrid electric vehicle, belonging to the electric vehicle control technical field. Neural network is mainly adopted by the method for the identification. The working process is mainly divided into two stages of a learning period and a working period. During the learning period, the standard driving condition of the vehicle is collected firstly and segmented; each sample is calculated to obtain a series of sample parameters; the sample parameters are inserted in a neural network calculation formula to obtain parameters required for the intelligent identification control. During the working period, the cut ridge filtering processing is implemented on the obtained speeds; then the recursive average filtering processing is carried out; the speeds within a certain period of time are stored and are calculated; the calculated results are inserted in the neural network calculation formula to obtain the current driving state of the vehicle. With obvious identification effect on the vehicle driving state, the method for identifying the driving state of the hybrid electric vehicle can help a controller of the electric vehicle to reasonably and effectively regulate control parameters, thereby further improving the fuel economy and emission performance of the electric vehicle.

The invention discloses an electric four-wheel drive hybrid power system which comprises a power battery, a front driving unit and a rear driving unit, wherein the front driving unit comprises an engine and an ISG motor, and further comprises a CVT transmission; the ISG motor is connected with the engine through a clutch C1; the ISG motor is connected with the CVT transmission through a clutch C2; the clutch C1 is used for controlling the separation and combination of the ISG motor and the engine; the clutch C2 is used for controlling the separation and combination of the ISG motor and CVT transmission. The hybrid power system adopting the front driving unit, the double clutches and the CVT transmission to form power coupling has the advantages that the working modes such as independent working of the ISG motor, and parallel connection work of the engine and the ISG motor are realized by controlling the clutches; the working modes of pure electric mode, parallel connection driving mode, running power generation mode, series connection power generation mode and four-wheel driving mode can be realized by controlling the work of a rear driving motor; the fuel economy and emission performance are higher.

Embodiments for an engine exhaust are provided. In one example, a method comprises adjusting a fuel injection amount based on a fractional oxidation state of a catalyst, the fractional oxidation state based on reaction rates of a plurality of exhaust gas species throughout a catalyst longitudinal axis and a set of axially-averaged mass balance and energy balance equations for a fluid phase and a washcoat of the catalyst. In this way, a simplified catalyst model may be used to control air-fuel ratio.

A method of manufacturing epitaxial material used for GaN based LED with low polarization effect, which includes steps of growing n-type InGaAlN layer composed of GaN buffer layer (2) and n-type GaN layer (3), low polarizing active layer composed of InGaAlN multi-quantum well structure polarized regulating and controlling layer (4) and InGaAlN multi-quantum well structure light emitting layer (5) and p-type InGaAlN layer (6) on sapphire or SiC substrate (1) in turn. The method adds InGaAlN multi-quantum well structure polarized regulating and controlling layer, thus reduces polarization effect of quantum well active region.

The invention discloses a hybrid power bus driving condition forecasting method based on an internet of vehicles, and belongs to the technical field of modern transportation. The hybrid power bus driving condition forecasting method is characterized by including steps that real-time vehicle position information and running data are matched and stored; the position information of a vehicle is transmitted in real time, the position information of vehicles around the vehicle is received, and front vehicles which run in the same direction and on the same road with the vehicle and are positioned in front of the vehicle by certain distances are selected; the front vehicles separated from the vehicle within a certain distance transmit historical data to the vehicle; forecasting weights of driving parameters of the front vehicles to the driving condition of the vehicle are determined according to the distances between the front vehicles and the vehicle, and forecast characteristic parameters of the driving condition of the vehicle are computed according to the forecasting weights and characteristic parameters of the front vehicles; the driving condition within a certain distance in front of the vehicle is identified and forecast according to the forecast characteristic parameters of the driving condition of the vehicle and a fuzzy identification model; and control parameters of the vehicle are adjusted by an HCU (hybrid control unit) according to a forecast result. The hybrid power bus driving condition forecasting method has the advantages that lagging of a traditional method is eliminated, forecast accuracy is improved, and accordingly fuel economy and emission performance of the vehicle are improved.

A two-layer approach is provided for thermally growing carbon nanotubes on a substrate for field emitter applications. An adhesion layer is deposited on a cathode. A catalyst layer is then deposited on the adhesion layer, and then a carbon nanotube film is grown on the catalyst layer.

The invention relates to a spinning process of bamboo-like flat filaments produced by a semi-continuous high-speed spinning machine and belongs to the technical field of spinning of semi-continuous spinning machines. The spinning process comprises glue supply, filament strip forming, spinning and winding. The spinning process is characterized in that the glue supply is achieved through a glue supply device which comprises a metering pump, a glue supply tube and a filter; the metering pump is connected with a frequency converter which is used for controlling the amount of the glue supply of the metering pump; the frequency converter controls the metering pump to perform intermittent glue supply; the spinning is achieved through a spinning device which comprises at least one spinning roller which is horizontally arranged relative to an operating surface of a spinning surface; and filament strips surround the spinning roller to achieve drafting, solidification and deacidification in the spinning processes under the rotation of the spinning roller. The spinning process of the bamboo-like flat filaments produced by the semi-continuous high-speed spinning machine has the advantages of solving the problems that the filament strips of the semi-continuous spinning machines are inadequate in response, so that the spinning speed cannot be improved and the production efficiency and product quality cannot be integrated, enabling the arrangement direction of the spinning roller to be changed to enable the spinning speed of the spinning machine to be improved and enabling the high quality bamboo-like flat filaments to be spun out.

The invention discloses a personalized demand-oriented cruise driving optimization control system for a networked commercial diesel vehicle, and belongs to the technical field of intelligent networkedcommercial diesel vehicle control. The invention aims to realize the personalized demand-oriented network connection commercial diesel vehicle cruise driving optimization control system with improvedperformances, such as fuel economy and emission performance, by finding the optimal driving speed track and the optimal vehicle following distance under the personalized target requirements through by adjusting and switching the cruise driving strategy of a vehicle according to the personalized driving demand of a user. The system adopts the following steps: establishing an intelligent network connection information acquisition module, establishing a front vehicle acceleration and vehicle speed prediction module, establishing a power assembly and post-processing integrated model of a diesel vehicle, establishing a safety constraint module, setting four personalized driving modes and the like. The fuel economy, the emission performance and the like of the whole vehicle are improved. The comfort, the economy, the emission performance and the like of diesel vehicles in the formation driving process are improved. The system is applied to modeling and optimal control of various commercialdiesel vehicles.