CN117514482A - Adaptive control method and device for vehicle engine and electronic equipment - Google Patents
Adaptive control method and device for vehicle engine and electronic equipment Download PDFInfo
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- CN117514482A CN117514482A CN202311361933.9A CN202311361933A CN117514482A CN 117514482 A CN117514482 A CN 117514482A CN 202311361933 A CN202311361933 A CN 202311361933A CN 117514482 A CN117514482 A CN 117514482A
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- 238000000034 method Methods 0.000 title claims abstract description 48
- 230000003044 adaptive effect Effects 0.000 title claims abstract description 39
- 239000000779 smoke Substances 0.000 claims abstract description 85
- 238000001228 spectrum Methods 0.000 claims abstract description 16
- 238000004364 calculation method Methods 0.000 claims description 11
- 238000004590 computer program Methods 0.000 claims description 5
- 239000000446 fuel Substances 0.000 abstract description 11
- 230000008859 change Effects 0.000 description 6
- 230000008569 process Effects 0.000 description 6
- 230000007613 environmental effect Effects 0.000 description 4
- 238000012545 processing Methods 0.000 description 4
- 230000008929 regeneration Effects 0.000 description 4
- 238000011069 regeneration method Methods 0.000 description 4
- 230000009286 beneficial effect Effects 0.000 description 3
- 239000000243 solution Substances 0.000 description 3
- 238000007619 statistical method Methods 0.000 description 3
- 238000007405 data analysis Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
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- 238000002347 injection Methods 0.000 description 2
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- 230000001788 irregular Effects 0.000 description 1
- 238000003199 nucleic acid amplification method Methods 0.000 description 1
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- 238000012805 post-processing Methods 0.000 description 1
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Classifications
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F02—COMBUSTION ENGINES; HOT-GAS OR COMBUSTION-PRODUCT ENGINE PLANTS
- F02D—CONTROLLING COMBUSTION ENGINES
- F02D29/00—Controlling engines, such controlling being peculiar to the devices driven thereby, the devices being other than parts or accessories essential to engine operation, e.g. controlling of engines by signals external thereto
- F02D29/02—Controlling engines, such controlling being peculiar to the devices driven thereby, the devices being other than parts or accessories essential to engine operation, e.g. controlling of engines by signals external thereto peculiar to engines driving vehicles; peculiar to engines driving variable pitch propellers
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F02—COMBUSTION ENGINES; HOT-GAS OR COMBUSTION-PRODUCT ENGINE PLANTS
- F02D—CONTROLLING COMBUSTION ENGINES
- F02D45/00—Electrical control not provided for in groups F02D41/00 - F02D43/00
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F02—COMBUSTION ENGINES; HOT-GAS OR COMBUSTION-PRODUCT ENGINE PLANTS
- F02D—CONTROLLING COMBUSTION ENGINES
- F02D2200/00—Input parameters for engine control
- F02D2200/50—Input parameters for engine control said parameters being related to the vehicle or its components
- F02D2200/501—Vehicle speed
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F02—COMBUSTION ENGINES; HOT-GAS OR COMBUSTION-PRODUCT ENGINE PLANTS
- F02D—CONTROLLING COMBUSTION ENGINES
- F02D2200/00—Input parameters for engine control
- F02D2200/70—Input parameters for engine control said parameters being related to the vehicle exterior
- F02D2200/702—Road conditions
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F02—COMBUSTION ENGINES; HOT-GAS OR COMBUSTION-PRODUCT ENGINE PLANTS
- F02D—CONTROLLING COMBUSTION ENGINES
- F02D2700/00—Mechanical control of speed or power of a single cylinder piston engine
- F02D2700/07—Automatic control systems according to one of the preceding groups in combination with control of the mechanism receiving the engine power
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- Combined Controls Of Internal Combustion Engines (AREA)
Abstract
The invention provides an adaptive control method and device for a vehicle engine and electronic equipment, wherein the method comprises the following steps: determining a route repetition degree between a current travel route and a historical travel route of the target vehicle; determining an operation condition of the target vehicle based on the route repetition degree and vehicle operation running data on the current running route of the target vehicle; and determining driving characteristics and smoke limit adjustment coefficients corresponding to the operation working conditions of the target vehicle, and obtaining actual driving characteristics and smoke limit of the target vehicle based on the driving characteristics and the smoke limit adjustment coefficients corresponding to the operation working conditions of the target vehicle and a preset basic calibration pulse spectrum table so as to control an engine of the target vehicle based on the actual driving characteristics and the smoke limit of the target vehicle. The invention can realize the fine management of the smoke limit of the engine and improve the power adaptability and the fuel economy.
Description
Technical Field
The invention relates to the technical field of automobiles, in particular to an adaptive control method and device for a vehicle engine and electronic equipment.
Background
The current engine smoke limit and power adaptability control parameters are mainly related to the environmental temperature, the environmental pressure (altitude) and the thermal management requirement, and the corresponding smoke limit (smoke limit) table is obtained by looking up a table in an Electronic Control Unit (ECU) through the difference of the environmental temperature, the pressure and the post-treatment exhaust temperature of the vehicle operation and the thermal management requirement, so that the engine can normally and efficiently operate under different conditions of the altitude, the environmental temperature and the post-treatment system exhaust temperature management process.
The existing strategy only ensures that the engine can safely and efficiently run in the corresponding environment temperature and pressure and heat removal management process, belongs to the strategy related to the altitude environment temperature and the work intensity of a post-processing system, cannot be related to actual driving conditions, cannot adapt to vehicle driving dynamic change (average speed, starting frequency, braking frequency and the like) caused by road condition change and driving area change under the same altitude and temperature, is not beneficial to fine engine smoke limit management, is not beneficial to power adaptability and fuel economy, and has a lifting space.
Disclosure of Invention
In view of the foregoing, it is desirable to provide a method and apparatus for adaptively controlling a vehicle engine, and an electronic device for achieving the purpose of fine management of engine smoke limit, and improving power adaptability and fuel economy.
In order to achieve the above object, the present invention provides an adaptive control method of a vehicle engine, comprising:
determining a route repetition degree between a current travel route and a historical travel route of the target vehicle;
determining an operation condition of the target vehicle based on the route repetition degree and vehicle operation running data on the current running route of the target vehicle;
and determining driving characteristics and smoke limit adjustment coefficients corresponding to the operation working conditions of the target vehicle, and obtaining actual driving characteristics and smoke limit of the target vehicle based on the driving characteristics and the smoke limit adjustment coefficients corresponding to the operation working conditions of the target vehicle and a preset basic calibration pulse spectrum table so as to control an engine of the target vehicle based on the actual driving characteristics and the smoke limit of the target vehicle.
Further, the determining the operation condition of the target vehicle based on the route repetition and the vehicle operation running data on the current running route of the target vehicle includes:
determining an initial operating condition of the target vehicle based on the route repetition and vehicle operation running data on a current running route of the target vehicle;
and acquiring real-time road condition congestion data on the current running route of the target vehicle, and correcting the initial operation condition of the target vehicle based on the real-time road condition congestion data to obtain the operation condition of the target vehicle.
Further, the operation conditions of the target vehicle sequentially comprise, from low level to high level: the system comprises a first-stage working condition, a second-stage working condition and a third-stage working condition, wherein the power requirement of the first-stage working condition is lower than that of the second-stage working condition, and the power requirement of the second-stage working condition is lower than that of the third-stage working condition;
the correcting the initial operation condition of the target vehicle based on the real-time road condition congestion data to obtain the operation condition of the target vehicle comprises the following steps:
and under the condition that traffic jam exists based on the real-time road condition congestion data on the current running route of the target vehicle and the initial operation working condition is the second-stage working condition or the third-stage working condition, reducing the grade of the initial operation working condition of the target vehicle to obtain the operation working condition of the target vehicle.
Further, the vehicle operation travel data of the target vehicle includes: the speed, the accelerator opening and the load factor of the target vehicle;
the determining an initial operating condition of the target vehicle based on the route repetition and the vehicle operation running data on the current running route of the target vehicle includes:
determining a current road section of the target vehicle based on the speed of the target vehicle in a case where the current travel route of the target vehicle is determined to be a fixed route based on the route repetition degree;
determining an operation condition judgment coefficient of the target vehicle based on an operation condition judgment coefficient calculation formula corresponding to the current road section of the target vehicle and vehicle operation running data of the target vehicle;
and determining the initial operation condition of the target vehicle based on the operation condition judgment coefficient and a preset condition threshold.
Further, the determining the initial operation condition of the target vehicle based on the route repetition degree and the vehicle operation running data on the current running route of the target vehicle includes:
acquiring vehicle operation running data of other vehicles except the target vehicle on the current running route of the target vehicle under the condition that the current running route of the target vehicle is determined to be a non-fixed route based on the route repetition degree;
and determining the initial operation working condition of the target vehicle based on the vehicle operation running data of the other vehicles.
Further, the vehicle operation travel data of the other vehicle includes: average speed, average accelerator opening and average load factor of other vehicles;
the determining the initial operation condition of the target vehicle based on the vehicle operation running data of the other vehicles comprises:
determining an operation condition judgment coefficient of the target vehicle based on the vehicle operation running data of the other vehicles and a preset operation condition judgment coefficient calculation formula;
and determining the initial operation condition of the target vehicle based on the operation condition judgment coefficient and a preset condition threshold.
Further, the determining the driving characteristic and the smoke limit adjustment coefficient corresponding to the operation working condition of the target vehicle includes:
based on the operation condition of the target vehicle and the basic calibration pulse table, performing table lookup interpolation to obtain driving characteristics and smoke limit adjustment coefficients corresponding to the operation condition of the target vehicle;
wherein, the basic calibration pulse table includes: a smoke limit correction coefficient curve and a driving characteristic limit correction characteristic curve.
The invention also provides an adaptive control device of a vehicle engine, comprising:
the coincidence rate determining module is used for determining the route repetition degree between the current running route and the historical running route of the target vehicle;
the working condition determining module is used for determining the operation working condition of the target vehicle based on the route repetition degree and the vehicle operation running data on the current running route of the target vehicle;
the smoke limit determining module is used for determining driving characteristics and smoke limit adjustment coefficients corresponding to the operation working conditions of the target vehicle, obtaining actual driving characteristics and smoke limit of the target vehicle based on the driving characteristics and the smoke limit adjustment coefficients corresponding to the operation working conditions of the target vehicle and a preset basic calibration pulse spectrum table, and controlling an engine of the target vehicle based on the actual driving characteristics and the smoke limit of the target vehicle.
The invention also provides an electronic device comprising a memory and a processor, wherein,
the memory is used for storing programs;
the processor is coupled to the memory for executing the program stored in the memory to implement the steps in the adaptive control method of a vehicle engine as set forth in any one of the above.
The present invention also provides a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements a method of adaptive control of a vehicle engine as described in any of the above.
The beneficial effects of the implementation mode are that: according to the adaptive control method, the adaptive control device and the electronic equipment for the vehicle engine, the operation working condition of the target vehicle is determined by combining the route repeatability with the vehicle operation running data on the current running route of the target vehicle; the type of the current running route of the target vehicle can be determined based on the route repetition degree, for example, whether the current running route is a fixed route or not, and vehicle running data corresponding to different running routes can be distinguished, so that the running conditions of the vehicles are distinguished; in addition, the vehicle operation running data corresponding to different operation conditions can be distinguished; therefore, the invention combines the route repeatability with the vehicle operation running data on the current running route of the target vehicle to determine the operation working condition of the target vehicle, thereby improving the vehicle adaptability. The method comprises the steps of obtaining actual driving characteristics and smoke limit of a target vehicle based on driving characteristics and smoke limit adjustment coefficients corresponding to operation conditions of the target vehicle and a preset basic calibration pulse spectrum chart, controlling an engine of the target vehicle based on the actual driving characteristics and smoke limit of the target vehicle, controlling the smoke limit and power based on the current actual operation conditions of the target vehicle, realizing fine management of the smoke limit of the engine, and improving power adaptability and fuel economy.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following description will briefly explain the drawings needed in the description of the embodiments, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of an embodiment of a method for adaptive control of a vehicle engine according to the present disclosure;
FIG. 2 is a flow chart of another embodiment of a method for adaptive control of a vehicle engine provided by the present invention;
FIG. 3 is a functional block diagram of an embodiment of an adaptive control apparatus for a vehicle engine according to the present invention;
fig. 4 is a schematic structural diagram of an embodiment of an electronic device according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. It will be apparent that the described embodiments are only some, but not all, embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In the description of the embodiments of the present application, unless otherwise indicated, the meaning of "a plurality" is two or more.
The terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, apparatus, article, or device that comprises a list of steps or modules is not necessarily limited to those steps or modules that are expressly listed or inherent to such process, method, article, or device.
The naming or numbering of the steps in the embodiments of the present invention does not mean that the steps in the method flow must be executed according to the time/logic sequence indicated by the naming or numbering, and the named or numbered flow steps may change the execution order according to the technical purpose to be achieved, so long as the same or similar technical effects can be achieved.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the invention. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.
The invention provides an adaptive control method and device for a vehicle engine and electronic equipment, and the method and the device are respectively described below.
As shown in fig. 1, the present invention provides an adaptive control method of a vehicle engine, including:
step 110, determining the route repeatability between the current running route and the historical running route of the target vehicle;
step 120, determining an operation condition of the target vehicle based on the route repetition and vehicle operation running data on the current running route of the target vehicle;
and 130, determining driving characteristics and smoke limit adjustment coefficients corresponding to the operation working conditions of the target vehicle, and obtaining actual driving characteristics and smoke limit of the target vehicle based on the driving characteristics and the smoke limit adjustment coefficients corresponding to the operation working conditions of the target vehicle and a preset basic calibration pulse spectrum table so as to control an engine of the target vehicle based on the actual driving characteristics and the smoke limit of the target vehicle.
It can be understood that the invention mainly relies on vehicle positioning and road condition recognition to judge which road operation condition the vehicle is in, and the operation condition of the vehicle is divided into urban (urban) condition, suburban (national road) condition, high-speed (city express way) condition (which can also be defined as definition keywords such as congestion, general, unblocked, etc., three kinds of conditions are switched into linear switching, smooth transition, and the invention is mainly used for distinguishing road operation condition difference). The three operation working condition classifications have larger frequency requirement difference for starting the vehicle, the city is more congested, the starting and stopping are more, the high-speed vehicle is stable and almost free from starting and stopping, and the suburb is in the intermediate state between the two.
The three working conditions correspond to different performance emphasis requirements: the vehicle is difficult to continuously and rapidly run in the city, the power requirement is low, the post-treatment temperature is low, the passive regeneration capability is weak, and PM (particulate matters) is required to be generated as little as possible, so the smoke limit control direction is tight, the fuel injection quantity is controlled by improving the air-fuel ratio, and the regeneration mileage can be ensured although the power performance is slightly sacrificed. The vehicle is on the suburb, the vehicle speed is higher than the exhaust temperature, the passive regeneration has a certain capability, the smoke degree can be sacrificed to a certain extent, so that the smoke limit control direction is relaxed to a certain extent, the dynamic property is improved, the output torque of the medium-speed region is improved, the running working condition can be closer to the oil consumption economic region, and the aim of improving the ratio of the economic region is fulfilled. The vehicle has more stable working conditions at high speed, higher exhaust temperature, strong passive regeneration capability, large PM emission margin and less smoke limit activation, so that the smoke limit control direction is further relaxed, and the high-speed overtaking dynamic property can be ensured by increasing the fuel injection quantity. And carrying out adaptive calibration aiming at the difference of vehicle operation conditions by adopting modes such as smoke limit (air-fuel ratio limit) and driving characteristic adaptive limit under different conditions.
The adaptive calibration is provided with a switch which is used for providing a customer with an adaptive control function for selecting whether the following road operation condition identification and smoke limit are required to be started or not. If the switch is closed, the operation is carried out according to the original calibration, and the driving is not affected; if the switch is turned on, the road operation condition is identified, and the ECU (electronic control unit) obtains the corresponding driving characteristics and smoke limit (air-fuel ratio limit value) through table lookup interpolation calculation in three operation conditions according to the identification result.
Calculation of route repetition: the vehicle running data are collected by using a T-BOX (vehicle-mounted electrical component) and a GPS (global positioning system) of the vehicle and uploaded to a cloud/internet of vehicles, the internet of vehicles carries out statistics on vehicle positioning, operation track routes and operation time for a long time, the vehicle operation track data are obtained by an electronic control unit of the vehicle through interaction between the vehicle and the internet of vehicles, and a route repetition degree judging module judges the route repetition degree, if the overlapped route accounts for more than 80% of the total route (the route ratio can be changed), the vehicle is judged to be a fixed operation route.
After the operation condition of the target vehicle is determined, the electronic control unit of the target vehicle is sent to the operation condition of the target vehicle as the dynamic self-adaptive adjustment input of the electronic control unit. According to the performance emphasis requirements of different road operation conditions, setting an adjustment coefficient curve for tightening, loosening or enlarging and shrinking on a basic table pulse spectrum of smoke limit calibration and driving characteristic calibration: the smoke limit is increased tightly (the coefficient of the increase is more than 1) under the urban operation condition, and the power output of the driving characteristic is reduced (the coefficient of the amplification is less than 1); the smoke limit of suburbs and high-speed operation conditions is relaxed (the relaxing coefficient is smaller than 1, and the relaxing coefficient of the high-speed operation condition is smaller than that of suburbs), and the power output of driving characteristics is amplified (the amplifying coefficient is larger than 1). The smoke limit and driving characteristics under different working conditions are obtained through real-time speed, load and engine rotating speed table lookup of the vehicle, the vehicle is ensured to meet proper performance emphasis under different road environments, and the maximum performance (dynamic performance, economy and emission) is exerted.
In some embodiments, the determining the operating condition of the target vehicle based on the route repetition and the vehicle operation driving data on the current driving route of the target vehicle includes:
determining an initial operating condition of the target vehicle based on the route repetition and vehicle operation running data on a current running route of the target vehicle;
and acquiring real-time road condition congestion data on the current running route of the target vehicle, and correcting the initial operation condition of the target vehicle based on the real-time road condition congestion data to obtain the operation condition of the target vehicle.
In some embodiments, the operating conditions of the target vehicle, from low level to high level, include: the system comprises a first-stage working condition, a second-stage working condition and a third-stage working condition, wherein the power requirement of the first-stage working condition is lower than that of the second-stage working condition, and the power requirement of the second-stage working condition is lower than that of the third-stage working condition;
the correcting the initial operation condition of the target vehicle based on the real-time road condition congestion data to obtain the operation condition of the target vehicle comprises the following steps:
and under the condition that traffic jam exists based on the real-time road condition congestion data on the current running route of the target vehicle and the initial operation working condition is the second-stage working condition or the third-stage working condition, reducing the grade of the initial operation working condition of the target vehicle to obtain the operation working condition of the target vehicle.
It is understood that the first level of operating mode is city operating mode, the second level of operating mode is suburb operating mode, and the third level of operating mode is high-speed operating mode.
Correcting the initial operation working condition of the target vehicle through a network navigation real-time updating module, and correcting the initial operation working condition of the target vehicle through the network navigation according to the real-time road condition congestion condition: if no factors of traffic jam (temporary traffic control, accident and the like) exist on the current running route of the target vehicle, determining the initial operation condition of the target vehicle as a final operation condition; if the traffic jam factor exists, the operation working condition is degraded, namely the initial operation working condition of the target vehicle is judged to be suburban working condition, the vehicle is tightly added to be urban working condition, the initial operation working condition of the target vehicle is judged to be high-speed working condition, the vehicle is tightly added to be suburban working condition, the initial operation working condition of the target vehicle is judged to be urban working condition, and the urban working condition is kept unchanged.
In some embodiments, the vehicle operation travel data of the target vehicle includes: the speed, the accelerator opening and the load factor of the target vehicle;
the determining an initial operating condition of the target vehicle based on the route repetition and the vehicle operation running data on the current running route of the target vehicle includes:
determining a current road section of the target vehicle based on the speed of the target vehicle in a case where the current travel route of the target vehicle is determined to be a fixed route based on the route repetition degree;
determining an operation condition judgment coefficient of the target vehicle based on an operation condition judgment coefficient calculation formula corresponding to the current road section of the target vehicle and vehicle operation running data of the target vehicle;
and determining the initial operation condition of the target vehicle based on the operation condition judgment coefficient and a preset condition threshold.
It can be understood that, based on the running data of the vehicle (including the running speed, the accelerator opening, the load factor, the running mileage and other data of the vehicle), in this embodiment, the whole-line working condition analysis and identification are performed on the target vehicle, the conditions such as the average vehicle speed distribution, the accelerator opening, the vehicle speed distribution, the load distribution and the like when the target vehicle runs on different sections of the route are statistically analyzed, the working condition definitions (city, suburb and high speed) of different sections of the route are judged, meanwhile, the three working conditions are smoothly transited according to different input conditions (the decision coefficient is calculated according to the input of the average vehicle speed, the average accelerator opening and the average load factor, the table is searched and interpolated in the adjustment coefficient table of the three working conditions according to the range of the decision coefficient), the due engine working mode allocation of the vehicle is ensured, and the vehicle can be adaptively adjusted under the condition that the power demands of different sections are inconsistent.
In some embodiments, the determining the initial operating condition of the target vehicle based on the route repetition and the vehicle operation driving data on the current driving route of the target vehicle includes:
acquiring vehicle operation running data of other vehicles except the target vehicle on the current running route of the target vehicle under the condition that the current running route of the target vehicle is determined to be a non-fixed route based on the route repetition degree;
and determining the initial operation working condition of the target vehicle based on the vehicle operation running data of the other vehicles.
It can be understood that the working conditions of the fixed route and the non-fixed route can be judged by two modes of statistical analysis of historical data of the vehicle and statistical analysis of big data of the internet of vehicles, so that the erroneous judgment of the operation working conditions of special vehicles or vehicles with special working conditions can be avoided; for example: the average speed of the sprinkler at the same road section is different from that of a normal operation vehicle, but the sprinkler route is fixed, so that the working condition is judged according to the historical data statistics of the sprinkler, and other vehicles are judged according to the big data analysis of the Internet of vehicles and the self-learning module of the road network, thereby improving the implementation precision and the range of the scheme provided by the invention.
In some embodiments, the vehicle operation travel data of the other vehicle includes: average speed, average accelerator opening and average load factor of other vehicles;
the determining the initial operation condition of the target vehicle based on the vehicle operation running data of the other vehicles comprises:
determining an operation condition judgment coefficient of the target vehicle based on the vehicle operation running data of the other vehicles and a preset operation condition judgment coefficient calculation formula;
and determining the initial operation condition of the target vehicle based on the operation condition judgment coefficient and a preset condition threshold.
It can be understood that, based on the average speed, the accelerator opening distribution, the speed distribution and the load distribution parameters of different road sections uploaded by the internet of vehicles to the vehicles, the operation conditions of the corresponding road sections are judged, the identification of the operation conditions is based on the statistical analysis of the internet of vehicles big data, the road operation conditions of different routes or different time periods of the same road section can be classified into three categories (city, suburb and high speed), and the three conditions can be smoothly transited according to the actual speed distribution and other conditions.
In some embodiments, the determining the driving characteristics and the smoke limit adjustment coefficients corresponding to the operation conditions of the target vehicle includes:
based on the operation condition of the target vehicle and the basic calibration pulse table, performing table lookup interpolation to obtain driving characteristics and smoke limit adjustment coefficients corresponding to the operation condition of the target vehicle;
wherein, the basic calibration pulse table includes: a smoke limit correction coefficient curve and a driving characteristic limit correction characteristic curve.
It can be understood that for different operation conditions, a smoke limit correction coefficient curve (pulse spectrum table) and a driving characteristic limit correction characteristic curve (pulse spectrum table) under three conditions need to be set in advance, the vision calibration refinement degree is adopted, and table lookup interpolation is performed after input is obtained.
In other embodiments, as shown in fig. 2, according to the method provided in this embodiment, a fixed route determination is first performed on the target vehicle, where the determination process is to determine that the latitude and longitude ranges of the vehicle overlap, where the latitude error is within ±0.00012 (10 m) and the latitude is within 0.00009 (10 m), which is regarded as the same point. The total road section of the one-way running is the road overlap ratio of the road section length with the overlapping longitude and latitude (within the error range). And when the line overlap ratio is more than 80 percent (the value can be calibrated and changed), the vehicle is processed according to a fixed line. When the average speeds of different road sections of the fixed route are inconsistent due to factors such as vehicle congestion, traffic lights and the like, the road sections with different speeds can be decomposed into different target working conditions (working conditions of smooth transition according to data such as speed, accelerator and the like) through the fixed route self-learning module, the different target working conditions are input into an engine ECU, the ECU obtains corresponding driving characteristics and smoke limit (air-fuel ratio limit) adjustment coefficients through table lookup interpolation on three road conditions (city, suburb and high speed), and then obtains actual driving characteristics and smoke limit according to a basic calibration pulse spectrum table.
For vehicles with the route overlap ratio less than 80%, the big data analysis and road network self-learning module can judge the route according to the average statistical results (vehicle speed, accelerator opening and load rate) of other vehicles on the current vehicle operation route, and serve as working condition identification input of an engine ECU, the ECU obtains corresponding driving characteristics and smoke limit adjustment coefficients through table lookup and interpolation on three road conditions, and then obtains actual driving characteristics and smoke limit according to a basic calibration pulse spectrum table.
For irregular road congestion caused by factors such as temporary construction, accidents, traffic control and the like, the networked navigation real-time updating module is used for carrying out working condition tightening input on the ECU, and the input level is tighter than that of an initial operation working condition and is mainly used for coping with vehicle operation environment changing conditions caused by uncontrollable force.
According to the embodiment, road operation conditions are divided into cities, suburbs and high-speed modules, the operation conditions can be judged and divided through three factors of average vehicle speed, average accelerator opening and average load factor, the average vehicle speed, the average accelerator opening and the average load factor are assigned with corresponding weights, the average vehicle speed, the average accelerator opening and the average load factor are assigned with higher priorities, and the average vehicle speed, the average accelerator opening and the average load factor are weighted and summed to obtain the operation condition judgment coefficient.
For example, the calculation formula of the operation condition determination coefficient is:
determination coefficient=0.7×average vehicle speed/80+0.2×average accelerator opening/100+0.1×average load factor/100;
the determination coefficient is smaller than 0.28, the city working condition is determined, the determination coefficient=0.47, the suburban working condition is determined, the determination coefficient is >0.85, the high-speed working condition is determined, and the corresponding ideal relationship is as follows:
urban working conditions: the average speed is lower than 25km/h, the average throttle opening is lower than 20%, and the average load rate is lower than 25%;
suburban conditions: the average speed of the vehicle is 40km/h, the average throttle opening is 35%, and the average load rate is 45%;
high-speed working condition: the average speed is greater than 80km/h, the average throttle opening is greater than 45%, and the average load rate is greater than 55%;
the calculation formula of the judgment coefficient can be calibrated and adjusted according to different vehicle types, the definition rule of the judgment coefficient can also be calibrated and adjusted according to different vehicle types, for example, conditions such as accelerator change rate, load change rate and the like are increased, and the judgment coefficient of different vehicle types is adaptively changed, wherein the data are used for expressing the calculation process.
In summary, the adaptive control method for a vehicle engine provided by the invention includes: determining a route repetition degree between a current travel route and a historical travel route of the target vehicle; determining an operation condition of the target vehicle based on the route repetition degree and vehicle operation running data on the current running route of the target vehicle; and determining driving characteristics and smoke limit adjustment coefficients corresponding to the operation working conditions of the target vehicle, and obtaining actual driving characteristics and smoke limit of the target vehicle based on the driving characteristics and the smoke limit adjustment coefficients corresponding to the operation working conditions of the target vehicle and a preset basic calibration pulse-width table so as to control an engine of the target vehicle based on the actual driving characteristics and the smoke limit of the target vehicle.
According to the adaptive control method of the vehicle engine, provided by the invention, the operation working condition of the target vehicle is determined by combining the route repeatability with the vehicle operation running data on the current running route of the target vehicle; the type of the current running route of the target vehicle can be determined based on the route repetition degree, for example, whether the current running route is a fixed route or not, and vehicle running data corresponding to different running routes can be distinguished, so that the running conditions of the vehicles are distinguished; in addition, the vehicle operation running data corresponding to different operation conditions are also different, so that the invention combines the route repeatability with the vehicle operation running data on the current running route of the target vehicle, determines the operation condition of the target vehicle, and improves the vehicle adaptability. The method comprises the steps of obtaining actual driving characteristics and smoke limit of a target vehicle based on driving characteristics and smoke limit adjustment coefficients corresponding to operation conditions of the target vehicle and a preset basic calibration pulse spectrum chart, controlling an engine of the target vehicle based on the actual driving characteristics and smoke limit of the target vehicle, controlling the smoke limit and power based on the current actual operation conditions of the target vehicle, realizing fine management of the smoke limit of the engine, and improving power adaptability and fuel economy.
As shown in fig. 3, the present invention further provides an adaptive control apparatus 300 of a vehicle engine, including:
a coincidence rate determining module 310 for determining a route repetition rate between a current travel route and a historical travel route of the target vehicle;
a working condition determining module 320, configured to determine an operation working condition of the target vehicle based on the route repetition and vehicle operation running data on a current running route of the target vehicle;
the smoke limit determining module 330 is configured to determine a driving characteristic and a smoke limit adjustment coefficient corresponding to an operation condition of the target vehicle, obtain an actual driving characteristic and a smoke limit of the target vehicle based on the driving characteristic and the smoke limit adjustment coefficient corresponding to the operation condition of the target vehicle and a preset basic calibration pulse spectrum table, and control an engine of the target vehicle based on the actual driving characteristic and the smoke limit of the target vehicle.
The adaptive control device for a vehicle engine provided in the foregoing embodiment may implement the technical solution described in the foregoing embodiment of the adaptive control method for a vehicle engine, and the specific implementation principle of each module or unit may refer to the corresponding content in the foregoing embodiment of the adaptive control method for a vehicle engine, which is not repeated herein.
As shown in fig. 4, the present invention further provides an electronic device 400 accordingly. The electronic device 400 comprises a processor 401, a memory 402 and a display 403. Fig. 4 shows only some of the components of the electronic device 400, but it should be understood that not all of the illustrated components are required to be implemented and that more or fewer components may be implemented instead.
The memory 402 may be an internal storage unit of the electronic device 400 in some embodiments, such as a hard disk or memory of the electronic device 400. The memory 402 may also be an external storage device of the electronic device 400 in other embodiments, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash Card (Flash Card) or the like, which are provided on the electronic device 400.
Further, the memory 402 may also include both internal storage units and external storage devices of the electronic device 400. The memory 402 is used for storing application software and various types of data for installing the electronic device 400.
The processor 401 may in some embodiments be a central processing unit (Central Processing Unit, CPU), microprocessor or other data processing chip for executing program code or processing data stored in the memory 402, such as the adaptive control method of a vehicle engine of the present invention.
The display 403 may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch, or the like in some embodiments. The display 403 is used for displaying information at the electronic device 400 and for displaying a visual user interface. The components 401-403 of the electronic device 400 communicate with each other via a system bus.
In some embodiments of the present invention, when the processor 401 executes the adaptive control program of the vehicle engine in the memory 402, the following steps may be implemented:
determining a route repetition degree between a current travel route and a historical travel route of the target vehicle;
determining an operation condition of the target vehicle based on the route repetition degree and vehicle operation running data on the current running route of the target vehicle;
and determining driving characteristics and smoke limit adjustment coefficients corresponding to the operation working conditions of the target vehicle, and obtaining actual driving characteristics and smoke limit of the target vehicle based on the driving characteristics and the smoke limit adjustment coefficients corresponding to the operation working conditions of the target vehicle and a preset basic calibration pulse spectrum table so as to control an engine of the target vehicle based on the actual driving characteristics and the smoke limit of the target vehicle.
It should be understood that: the processor 401 may in executing the adaptive control program of the vehicle engine in the memory 402 perform other functions in addition to the above, in particular see the description of the corresponding method embodiments above.
Further, the type of the electronic device 400 is not particularly limited, and the electronic device 400 may be a mobile phone, a tablet computer, a personal digital assistant (personal digitalassistant, PDA), a wearable device, a laptop (laptop), or other portable electronic devices. Exemplary embodiments of portable electronic devices include, but are not limited to, portable electronic devices that carry IOS, android, microsoft or other operating systems. The portable electronic device described above may also be other portable electronic devices, such as a laptop computer (laptop) or the like having a touch-sensitive surface, e.g. a touch panel. It should also be appreciated that in other embodiments of the invention, electronic device 400 may not be a portable electronic device, but rather a desktop computer having a touch-sensitive surface (e.g., a touch panel).
In yet another aspect, the present invention also provides a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, is implemented to perform the method of adaptive control of a vehicle engine provided by the above methods, the method comprising:
determining a route repetition degree between a current travel route and a historical travel route of the target vehicle;
determining an operation condition of the target vehicle based on the route repetition degree and vehicle operation running data on the current running route of the target vehicle;
and determining driving characteristics and smoke limit adjustment coefficients corresponding to the operation working conditions of the target vehicle, and obtaining actual driving characteristics and smoke limit of the target vehicle based on the driving characteristics and the smoke limit adjustment coefficients corresponding to the operation working conditions of the target vehicle and a preset basic calibration pulse spectrum table so as to control an engine of the target vehicle based on the actual driving characteristics and the smoke limit of the target vehicle.
Those skilled in the art will appreciate that all or part of the flow of the methods of the embodiments described above may be accomplished by way of a computer program that instructs associated hardware, and that the program may be stored in a computer readable storage medium. The computer readable storage medium is a magnetic disk, an optical disk, a read-only memory or a random access memory.
The adaptive control method, device and electronic equipment for the vehicle engine provided by the invention are described in detail, and specific examples are applied to illustrate the principle and implementation of the invention, and the description of the above examples is only used for helping to understand the method and core idea of the invention; meanwhile, as those skilled in the art will have variations in the specific embodiments and application scope in light of the ideas of the present invention, the present description should not be construed as limiting the present invention.
Claims (10)
1. A method of adaptively controlling an engine of a vehicle, comprising:
determining a route repetition degree between a current travel route and a historical travel route of the target vehicle;
determining an operation condition of the target vehicle based on the route repetition degree and vehicle operation running data on the current running route of the target vehicle;
and determining driving characteristics and smoke limit adjustment coefficients corresponding to the operation working conditions of the target vehicle, and obtaining actual driving characteristics and smoke limit of the target vehicle based on the driving characteristics and the smoke limit adjustment coefficients corresponding to the operation working conditions of the target vehicle and a preset basic calibration pulse spectrum table so as to control an engine of the target vehicle based on the actual driving characteristics and the smoke limit of the target vehicle.
2. The adaptive control method of a vehicle engine according to claim 1, characterized in that the determining an operation condition of the target vehicle based on the route repetition degree and vehicle operation travel data on a current travel route of the target vehicle includes:
determining an initial operating condition of the target vehicle based on the route repetition and vehicle operation running data on a current running route of the target vehicle;
and acquiring real-time road condition congestion data on the current running route of the target vehicle, and correcting the initial operation condition of the target vehicle based on the real-time road condition congestion data to obtain the operation condition of the target vehicle.
3. The adaptive control method of a vehicle engine according to claim 1, characterized in that the operation conditions of the target vehicle sequentially include, from low level to high level: the system comprises a first-stage working condition, a second-stage working condition and a third-stage working condition, wherein the power requirement of the first-stage working condition is lower than that of the second-stage working condition, and the power requirement of the second-stage working condition is lower than that of the third-stage working condition;
the correcting the initial operation condition of the target vehicle based on the real-time road condition congestion data to obtain the operation condition of the target vehicle comprises the following steps:
and under the condition that traffic jam exists based on the real-time road condition congestion data on the current running route of the target vehicle and the initial operation working condition is the second-stage working condition or the third-stage working condition, reducing the grade of the initial operation working condition of the target vehicle to obtain the operation working condition of the target vehicle.
4. The adaptive control method of a vehicle engine according to claim 2, characterized in that the vehicle operation travel data of the target vehicle includes: the speed, the accelerator opening and the load factor of the target vehicle;
the determining an initial operating condition of the target vehicle based on the route repetition and the vehicle operation running data on the current running route of the target vehicle includes:
determining a current road section of the target vehicle based on the speed of the target vehicle in a case where the current travel route of the target vehicle is determined to be a fixed route based on the route repetition degree;
determining an operation condition judgment coefficient of the target vehicle based on an operation condition judgment coefficient calculation formula corresponding to the current road section of the target vehicle and vehicle operation running data of the target vehicle;
and determining the initial operation condition of the target vehicle based on the operation condition judgment coefficient and a preset condition threshold.
5. The adaptive control method of a vehicle engine according to claim 2, characterized in that the determining an initial operating condition of the target vehicle based on the route repetition and vehicle operation travel data on a current travel route of the target vehicle includes:
acquiring vehicle operation running data of other vehicles except the target vehicle on the current running route of the target vehicle under the condition that the current running route of the target vehicle is determined to be a non-fixed route based on the route repetition degree;
and determining the initial operation working condition of the target vehicle based on the vehicle operation running data of the other vehicles.
6. The adaptive control method of a vehicle engine according to claim 5, characterized in that the vehicle operation travel data of the other vehicle includes: average speed, average accelerator opening and average load factor of other vehicles;
the determining the initial operation condition of the target vehicle based on the vehicle operation running data of the other vehicles comprises:
determining an operation condition judgment coefficient of the target vehicle based on the vehicle operation running data of the other vehicles and a preset operation condition judgment coefficient calculation formula;
and determining the initial operation condition of the target vehicle based on the operation condition judgment coefficient and a preset condition threshold.
7. The adaptive control method of a vehicle engine according to any one of claims 1 to 6, characterized in that the determining the driving characteristics and the smoke limit adjustment coefficient corresponding to the operation condition of the target vehicle includes:
based on the operation condition of the target vehicle and the basic calibration pulse table, performing table lookup interpolation to obtain driving characteristics and smoke limit adjustment coefficients corresponding to the operation condition of the target vehicle;
wherein, the basic calibration pulse table includes: a smoke limit correction coefficient curve and a driving characteristic limit correction characteristic curve.
8. An adaptive control apparatus for a vehicle engine, comprising:
the coincidence rate determining module is used for determining the route repetition degree between the current running route and the historical running route of the target vehicle;
the working condition determining module is used for determining the operation working condition of the target vehicle based on the route repetition degree and the vehicle operation running data on the current running route of the target vehicle;
the smoke limit determining module is used for determining driving characteristics and smoke limit adjustment coefficients corresponding to the operation working conditions of the target vehicle, obtaining actual driving characteristics and smoke limit of the target vehicle based on the driving characteristics and the smoke limit adjustment coefficients corresponding to the operation working conditions of the target vehicle and a preset basic calibration pulse spectrum table, and controlling an engine of the target vehicle based on the actual driving characteristics and the smoke limit of the target vehicle.
9. An electronic device comprising a memory and a processor, wherein,
the memory is used for storing programs;
the processor is coupled to the memory for executing the program stored in the memory to implement the steps in the adaptive control method of a vehicle engine according to any one of claims 1 to 7.
10. A non-transitory computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when executed by a processor, implements the adaptive control method of a vehicle engine according to any one of claims 1 to 7.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311361933.9A CN117514482A (en) | 2023-10-19 | 2023-10-19 | Adaptive control method and device for vehicle engine and electronic equipment |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202311361933.9A CN117514482A (en) | 2023-10-19 | 2023-10-19 | Adaptive control method and device for vehicle engine and electronic equipment |
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| CN202311361933.9A Pending CN117514482A (en) | 2023-10-19 | 2023-10-19 | Adaptive control method and device for vehicle engine and electronic equipment |
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| CN (1) | CN117514482A (en) |
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