CN106985658B - Control method of special engine heat dissipation device for hybrid power based on electronic fan - Google Patents
Control method of special engine heat dissipation device for hybrid power based on electronic fan Download PDFInfo
- Publication number
- CN106985658B CN106985658B CN201710270262.3A CN201710270262A CN106985658B CN 106985658 B CN106985658 B CN 106985658B CN 201710270262 A CN201710270262 A CN 201710270262A CN 106985658 B CN106985658 B CN 106985658B
- Authority
- CN
- China
- Prior art keywords
- cooling fan
- engine
- max
- electronic
- temperature
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60K—ARRANGEMENT OR MOUNTING OF PROPULSION UNITS OR OF TRANSMISSIONS IN VEHICLES; ARRANGEMENT OR MOUNTING OF PLURAL DIVERSE PRIME-MOVERS IN VEHICLES; AUXILIARY DRIVES FOR VEHICLES; INSTRUMENTATION OR DASHBOARDS FOR VEHICLES; ARRANGEMENTS IN CONNECTION WITH COOLING, AIR INTAKE, GAS EXHAUST OR FUEL SUPPLY OF PROPULSION UNITS IN VEHICLES
- B60K11/00—Arrangement in connection with cooling of propulsion units
- B60K11/06—Arrangement in connection with cooling of propulsion units with air cooling
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/62—Hybrid vehicles
Landscapes
- Engineering & Computer Science (AREA)
- Chemical & Material Sciences (AREA)
- Combustion & Propulsion (AREA)
- Transportation (AREA)
- Mechanical Engineering (AREA)
- Control Of Positive-Displacement Air Blowers (AREA)
- Combined Controls Of Internal Combustion Engines (AREA)
Abstract
The invention discloses a special engine heat abstractor of hybrid power based on electronic fan, including: the engine motor is provided with a penetrating output shaft, one end of the output shaft is connected with the gearbox, and the other end of the output shaft is connected with the clutch; the output shaft of the driving motor is connected with the rear axle, and the driving motor outputs power to drive the rear axle of the vehicle; an output shaft of the engine is connected with the clutch; an electronic cooling fan group which is divided into an air inlet cooling fan and an air outlet cooling fan; wherein, the electronic cooling fan group is arranged above the engine and the motor of the engine; a monitoring device for acquiring data of temperature, humidity and atmospheric pressure; and the main control machine is connected with the engine motor electronic control device, the engine electronic control device and the monitoring device. The invention discloses a control method of a special engine heat dissipation device for hybrid power based on an electronic fan.
Description
Technical Field
The invention relates to a hybrid power system, in particular to a special engine heat dissipation device for hybrid power based on an electronic fan and a control method thereof.
Background
In the development process of the new energy automobile, as important content of the new energy automobile, the hybrid automobile which fuses the advantages of the traditional automobile and the electric automobile is the key of the new energy automobile development, and how to make the engine work in the optimal area through the coordination control of the motor and the engine is the key and the key of the matching and the control of the hybrid automobile, wherein the technical development of the special engine for the hybrid automobile is the key of the hybrid automobile development.
The engine is different from a common engine in that the working mode of the special hybrid power engine is greatly different, and the heat dissipation mode of the special hybrid power engine is also greatly different from that of the common engine. Therefore, the common engine cooling mode can not completely meet the requirements of the hybrid electric vehicle, or has poor heat dissipation effect and low heat dissipation efficiency, and currently, the hybrid electric drive platform is universally used as the platform development direction of the next-generation military multi-shaft drive heavy vehicle drive system in foreign army, russian, european countries and the like, which is consistent with the world vehicle development trend of new energy vehicles mainly including electric vehicles, hybrid electric vehicles and fuel cell vehicles in the civil vehicle field, and governments, enterprises and research institutions of various countries, so the development technical requirements of the heavy hybrid electric vehicle are especially important for the hybrid special engine heat dissipation system based on the control strategy of the dual-motor hybrid electric system and the control algorithm of the hybrid special engine heat dissipation system of the engine working mode.
Disclosure of Invention
The invention provides a special engine heat dissipation device for hybrid power based on an electronic fan, and aims to solve the problems that the existing hybrid power device cannot control the rotating speed and the working time of a cooling fan set according to the ambient temperature, the ambient humidity, the atmospheric pressure, the engine temperature and the engine motor temperature, and the energy consumption of an engine is overlarge.
The invention provides a control method of a special engine heat abstractor based on a hybrid power of an electronic fan, and aims to provide a hybrid power characteristic capable of controlling the fan rotating speed and the working time of an electronic fan group according to the ambient temperature, the ambient humidity and the atmospheric pressure, so that the vehicle has stronger mechanical capacity.
The invention is realized in the following way:
an electronic fan-based heat dissipating device for a hybrid power dedicated engine, comprising:
the engine motor is provided with a penetrating output shaft, one end of the output shaft is connected with the gearbox, the other end of the output shaft is connected with the clutch, and the engine motor is electrically connected with the engine motor electronic control device;
the output shaft of the driving motor is connected with the rear axle, and the driving motor outputs power to drive the rear axle of the vehicle;
wherein the engine motor and the drive motor can be used alone or in combination with an engine to simultaneously power a vehicle;
an engine, the output shaft of which is connected with the clutch, and the engine is electrically connected with an electronic engine control device;
an electronic cooling fan group which is divided into an air inlet cooling fan and an air outlet cooling fan, and is electrically connected with an electronic cooling fan control device;
wherein the electronic cooling fan group is arranged above the engine and the engine motor;
a monitoring device for acquiring data of temperature, humidity and atmospheric pressure;
and the main control machine is connected with the engine motor electronic control device, the engine electronic control device and the monitoring device at the same time and is used for determining the rotating speed and the working time of the electronic cooling fan group after analyzing and processing the data.
Preferably, the main control computer and the monitoring device perform data transmission through a CAN bus.
Preferably, the method further comprises:
the output shaft of the gearbox is connected with the front axle, and the output power drives the front axle of the vehicle; and the gear box is a gear box with more than five gears.
Preferably, a center differential is further provided on a power path of the power output to the rear axle for eliminating a slip phenomenon of the driving wheels.
Preferably, the method further comprises: and the storage battery is electrically connected with the electronic cooling fan set, the engine motor and the driving motor.
A control method of a special engine heat abstractor for hybrid power based on an electronic fan comprises the following steps:
collecting monitoring data, comprising: temperature, humidity, barometric pressure, engine temperature, and engine motor temperature; transmitting the data to a main control computer through a CAN bus communication circuit;
the main control computer analyzes and processes the monitoring data in real time, determines the rotating speed and the working time length of the electronic cooling fan group based on the regulation and control of the BP neural network, and comprises the following steps:
step one, according to the sampling period, collecting the ambient temperature T, the ambient humidity RH, the atmospheric pressure P and the engine temperature T a Engine motor temperature T b ；
Step two, collecting the ambient temperature T, the ambient humidity RH, the atmospheric pressure P and the engine temperature T in sequence a Engine motor temperature T b Normalizing to determine an input layer vector x= { x of the three-layer BP neural network 1 ,x 2 ,x 3 ,x 4 ,x 5 -a }; wherein x is 1 Is the ambient temperature coefficient, x 2 Is the coefficient of environmental humidity, x 3 Is the atmospheric pressure coefficient, x 4 Is the temperature coefficient of the engine, x 5 The engine motor temperature coefficient;
step three, mapping the input layer vector to an intermediate layer, wherein the intermediate layer vector y= { y 1 ,y 2 ,…,y m -a }; m is the number of intermediate layer nodes;
step four, obtaining an output layer vector z= { z 1 ,z 2 ,z 3 ,z 4 ,z 5 -a }; wherein z is 1 Rotational speed adjusting coefficient, z of air inlet cooling fan 2 Output air cooling fan rotation speed regulating coefficient, z 3 Working time adjusting coefficient z of air inlet cooling fan 4 Working time adjusting coefficient z of air outlet cooling fan 5 Is an emergency shutdown signal;
fifthly, controlling the rotation speed of the air inlet cooling fan, the rotation speed of the air outlet cooling fan, the working time of the air inlet cooling fan and the working time of the air outlet cooling fan to enable
ω a(i+1) ＝z 1 i ω a_max ，
ω b(i+1) ＝z 2 i ω b_max ，
t a(i+1) ＝z 3 i t a_max ，
t b(i+1) ＝z 4 i t b_max ，
Wherein z is 1 i 、z 2 i 、z 3 i 、z 4 i Layer vector parameters omega are respectively output for the ith sampling period a_max 、ω b_max 、t a_max 、t b_max Respectively setting maximum rotation speed of an air inlet cooling fan, maximum rotation speed of an air outlet cooling fan, maximum working time of the air inlet cooling fan and maximum working time of the air outlet cooling fan, omega a(i+1) 、ω b(i+1) 、t a(i+1) 、t b(i+1) The rotation speed of the air inlet cooling fan, the rotation speed of the air outlet cooling fan, the working time of the air inlet cooling fan and the working time of the air outlet cooling fan in the (i+1) th sampling period are respectively set.
Preferably, after the fifth step, the method further includes: judging the operation state of the riveting device in the (i+1) th sampling period according to the sampling signals of the ambient temperature, the ambient humidity, the atmospheric pressure, the engine temperature and the engine motor temperature in the (i) th sampling period, and outputting a signal z 5 When i=0, an emergency stop is performed.
Preferably, in the second step, the ambient temperature T, the ambient humidity RH, the atmospheric pressure P, the engine temperature T a Engine motor temperature T b The specification formula is:
wherein x is j To input parameters in layer vectors, X j Respectively measured parameters T, RH, P, T a 、T b ，j＝1,2,3,4,5；X jmax And X jmin Respectively the maximum and minimum of the corresponding measured parameters.
Preferably, in the third step, the number m of intermediate layer nodes satisfies:wherein n is the number of nodes of the input layer, and p is the number of nodes of the output layer;
preferably, in the initial running state, the rotation speed of the air inlet cooling fan, the rotation speed of the air outlet cooling fan, the working time of the air inlet cooling fan and the working time of the air outlet cooling fan satisfy empirical values:
ω a0 ＝0.67ω a_max ，
ω b0 ＝0.67ω b_max ，
t a0 ＝0.93t a_max ，
t b0 ＝0.93t b_max ，
wherein omega a0 For initial rotational speed, ω, of the inlet air cooling fan b0 To output the initial rotation speed of the cooling fan, t a0 For the initial working time of the air inlet cooling fan, t b0 The initial working time of the cooling fan for the air outlet cooling; omega a_max For maximum rotation speed of air intake cooling fan omega b_max To the maximum rotation speed of the air-out cooling fan, t a_max For the longest working time of the air inlet cooling fan, t b_max The maximum operating time of the cooling fan is set for the air outlet.
Compared with the prior art, the invention has the following beneficial effects:
1. in the arrangement of a heat radiation system, according to the working condition of a hybrid power engine, the heat radiation requirement, the arrangement structure requirement of a whole vehicle power assembly and the like, the traditional heat radiation system fan is changed, the heat radiation system is arranged at the front section of the engine in a power taking mode of the engine, the heat radiation system is arranged at the upper ends of the engine, a speed changer and an engine motor, two groups of fans are adopted, each group of two brushless motor low-resistance fans, two air inlet fans and two air outlet fans form a closed cooling system loop, a heat radiation water tank, the position and the structure of an intercooler, an air inlet and outlet air duct of the cooling system and the like are designed from the thermodynamic angle, and the heat radiation efficiency is greatly improved;
2. through monitoring devices and main control computer, make the vehicle CAN be according to ambient temperature, ambient humidity and atmospheric pressure to through monitoring engine temperature and engine motor temperature based on BP neural network control electron cooling fan group's rotational speed and operating time, guaranteed the best operating temperature of engine, reach the target that makes the engine work at the most comfortable temperature all the time with minimum consumption, thereby guaranteed the high efficiency operation and the reliable operation of engine, reduced engine heat dissipation energy loss, simultaneously, automatically controlled fan group forms the vortex, guaranteed the reliable heat dissipation of system, brushless motor fan based on CAN bus, high efficiency, the controllability is good, the resistance is little.
Additional advantages, objects, and features of the invention will be set forth in part in the description which follows and in part will become apparent to those having ordinary skill in the art upon examination of the following or may be learned from practice of the invention.
Drawings
Fig. 1 is a schematic structural diagram of a heat dissipating device for a hybrid power-dedicated engine based on an electronic fan according to the present invention.
Detailed Description
The present invention is described in further detail below with reference to the drawings to enable those skilled in the art to practice the invention by referring to the description.
It will be understood that terms, such as "having," "including," and "comprising," as used herein, do not preclude the presence or addition of one or more other elements or groups thereof.
As shown in fig. 1, the invention provides a heat dissipating device for a hybrid power special engine based on an electronic fan, the main structure of which comprises: engine motor 121, drive motor 122, engine 110, gearbox 130, monitoring device, electronic cooling fan set, and main control unit 300; the engine motor 121 has a through output shaft, one end of the output shaft is connected with the gearbox 130, the other end of the output shaft is connected with the clutch 140, the output shaft of the driving motor 122 is connected with the rear axle 220, the output power drives the rear axle 220 of the vehicle, the engine motor 121 and the driving motor 122 can be singly or combined together to simultaneously supply power to the vehicle together with the engine, the output shaft of the engine 110 is connected with the clutch 140, the output shaft of the gearbox 130 is connected with the front axle 210, the output power drives the front axle 210 of the vehicle, the electronic cooling fan components are an air inlet cooling fan 510 and an air outlet cooling fan 520, and the electronic cooling fan components are respectively arranged above the engine 110 and the engine motor 121; the monitoring device comprises a temperature sensor 410, a humidity sensor 420 and an atmospheric pressure sensor 430, wherein the temperature sensor 410 is used for collecting ambient temperature, the humidity sensor 420 is used for collecting ambient humidity and the atmospheric pressure sensor 430 is used for collecting atmospheric pressure data, the main control unit 300 is connected with the temperature sensor 410, the humidity sensor 420 and the atmospheric pressure sensor 430 respectively, and is used for determining the rotating speeds and the working time of the air inlet cooling fan 510 and the air outlet cooling fan 520 after analyzing and processing the data.
In another embodiment, the method further comprises: the storage battery 123 is electrically connected with the engine motor 121 and the driving motor 122, and is used for supplying power to the engine motor 121 and the driving motor 122, and meanwhile, the energy can be stored while the power is output by the generator, so that the effect of integration of charging and discharging is achieved.
In another embodiment, the engine 110 is electrically connected with the engine electronic control unit 310, the engine motor 121 is electrically connected with the engine motor electronic control unit 320, the electronic cooling fan set is electrically connected with the electronic cooling fan set electronic control unit 330, the storage battery set 123 is electrically connected with the storage battery set electronic control unit 340, the driving motor 122 is electrically connected with the driving motor electronic control unit 350, the main control machine 300 is in data transmission with the temperature sensor 410, the humidity sensor 420 and the atmospheric pressure sensor 430 through the CAN bus, and the main control machine 300 is in data transmission with the engine electronic control unit 310, the engine motor electronic control unit 320, the electronic cooling fan set electronic control unit 330, the storage battery set electronic control unit 340 and the driving motor electronic control unit 350 through the CAN bus.
In another embodiment, the storage battery pack 123 is electrically connected with the air inlet cooling fan 510 and the air outlet cooling fan 520, the storage battery pack 123 is a lead-acid battery, and the air inlet cooling fan 510 and the air outlet cooling fan 520 are powered by the storage battery pack 123.
In another embodiment, the transmission 130 is a five-speed or more transmission.
In another embodiment, a central differential is provided on the power path of the power output to the rear axle 220, which serves to eliminate the slipping phenomenon of the driving wheels when having different input angular speeds.
The invention provides a control method of a hybrid power special engine heat abstractor based on an electronic fan, which is characterized in that a main control computer 300 analyzes and processes monitoring data in real time, and determines the rotating speed and the working time length of an electronic cooling fan group based on the regulation and control of a BP neural network, and the control method comprises the following steps:
step one, establishing a BP neural network model;
the BP network system structure adopted by the invention is composed of three layers, the first layer is an input layer, n nodes are used as the first layer, n detection signals representing the working state of equipment are corresponding to the first layer, and the signal parameters are given by a data preprocessing module. The second layer is a hidden layer, and m nodes are determined in an adaptive manner by the training process of the network. The third layer is an output layer, and p nodes are totally determined by the response which is actually required to be output by the system.
The mathematical model of the network is:
input layer vector: x= (x 1 ,x 2 ,…,x n ) T
Intermediate layer vector: y= (y) 1 ,y 2 ,…,y m ) T
Outputting layer vectors: z= (z) 1 ,z 2 ,…,z p ) T
In the present invention, the number of input layer nodes is n=5, and the number of output layer nodes is p=5. The number of hidden layer nodes m is estimated by:
collecting monitoring data by the temperature sensor 410, the humidity sensor 420, and the atmospheric pressure sensor 430, respectively, collecting monitoring data by the engine electronic control unit 310 and the engine motor electronic control unit 320, includes: ambient temperature T, ambient humidity RH, barometric pressure P, engine temperature T a Engine motor temperature T b Transmitting the data to the main control computer 300 through the CAN bus communication circuit;
according to the sampling period, the 5 parameters input are: x is x 1 Is the ambient temperature coefficient, x 2 Is the coefficient of environmental humidity, x 3 Is the atmospheric pressure coefficient, x 4 Is the temperature coefficient of the engine, x 5 The engine motor temperature coefficient;
since the data acquired by the sensor belong to different physical quantities, the dimensions are different. Therefore, the data needs to be normalized to a number between 0 and 1 before the data is input into the neural network.
Specifically, the ambient temperature T is measured by a temperature sensor, normalized, and then the ambient temperature coefficient x is obtained 1 ：
Wherein T is min And T max The minimum and maximum temperatures of the ambient temperature, respectively.
Similarly, the ambient humidity RH is measured by a humidity sensor, normalized, and the ambient humidity coefficient x is obtained 2 ：
Wherein RH is min And RH (relative humidity) max The minimum humidity and the maximum humidity of the ambient humidity, respectively.
The atmospheric pressure P is measured by an atmospheric pressure sensor, and normalized to obtain an atmospheric pressure coefficient x 3 ：
Wherein P is min And P max The minimum and maximum pressure of atmospheric pressure, respectively.
Measuring engine temperature T using an engine electronic control unit a Normalized to obtain the engine temperature coefficient x 4 ：
Wherein T is a_min And T a_max The minimum temperature and the maximum temperature of the engine, respectively.
Engine motor T is measured by using an electronic control unit of the engine motor b After normalization, the engine motor coefficient x is obtained 5 ：
Wherein T is b_min And T b_max The minimum temperature and the maximum temperature of the engine motor, respectively.
The 5 parameters of the output signal are expressed as: z 1 Rotational speed adjusting coefficient, z of air inlet cooling fan 2 Output air cooling fan rotation speed regulating coefficient, z 3 Working time adjusting coefficient z of air inlet cooling fan 4 Working time adjusting coefficient z of air outlet cooling fan 5 Is an emergency shutdown signal;
air intake cooling fan rotation speed regulating coefficient z 1 Expressed as the ratio of the rotational speed of the inlet air cooling fan in the next sampling period to the highest rotational speed set in the current sampling period, i.e. the collected rotational speed of the fan in the ith sampling period is omega ai Outputting a fan rotation speed regulating coefficient z of the ith sampling period through the BP neural network 1 i Thereafter, the (i+1) th is controlledThe rotating speed of the air inlet cooling fan in the sampling period is omega a(i+1) Make it satisfy omega a(i+1) ＝z 1 i ω a_max ；
Output air cooling fan rotation speed regulating coefficient z 2 Expressed as the ratio of the rotational speed of the air-out cooling fan in the next sampling period to the highest rotational speed set in the current sampling period, i.e. in the ith sampling period, the collected rotational speed of the fan is omega bi Outputting a fan rotation speed regulating coefficient z of the ith sampling period through the BP neural network 2 i Then, the rotation speed of the air-out cooling fan in the (i+1) th sampling period is controlled to be omega b(i+1) Make it satisfy omega b(i+1) ＝z 2 i ω b_max ；
Air intake cooling fan working time adjusting coefficient z 3 Expressed as the ratio of the working time of the air inlet cooling fan in the next sampling period to the longest working time set in the current sampling period, namely, in the ith sampling period, the collected working time of the air inlet cooling fan is t ai The working time adjusting coefficient z of the air inlet cooling fan in the ith sampling period is output through the BP neural network 3 i Then, the working time of the air inlet cooling fan in the (i+1) th sampling period is controlled to be t a(i+1) Make it satisfy t a(i+1) ＝z 3 i t a_max ；
Working time adjusting coefficient z of air outlet cooling fan 4 Expressed as the ratio of the working time of the air-out cooling fan in the next sampling period to the longest working time set in the current sampling period, namely, in the ith sampling period, the collected working time of the air-out cooling fan is t bi Output the working time adjustment coefficient z of the air-out cooling fan of the ith sampling period through BP neural network 4 i Then, the working time of the air inlet cooling fan in the (i+1) th sampling period is controlled to be t b(i+1) Make it satisfy t b(i+1) ＝z 4 i t b_max ；
Emergency stop signal z 5 Is expressed as the running state of the current equipment, the output value is 0 or 1, and when the output value is 0, the current equipment is not positiveIn a normal state, at this time, an emergency stop is required; when the output value is 1, the current equipment is in a normal state, and the operation can be continued.
And step two, training the BP neural network.
After the BP neural network node model is established, the BP neural network can be trained. Obtaining training samples according to experience data of products, and giving connection weight w between input node i and hidden layer node j ij Connection weight w between hidden layer node j and output layer node k jk Threshold θ of hidden node j j The threshold w of the output layer node k ij 、w jk 、θ j 、θ k Are random numbers between-1 and 1.
In the training process, continuously correcting w ij And w jk And (3) completing the training process of the neural network until the systematic error is less than or equal to the expected error.
As shown in table 1, a set of training samples and the values of the nodes during training are given.
Table 1 training process node values
Step three, acquiring data operation parameters and inputting the data operation parameters into a neural network to obtain a regulation and control coefficient;
the trained artificial neural network is solidified in the chip, so that the hardware circuit has the functions of prediction and intelligent decision making, and intelligent hardware is formed. After the intelligent hardware is powered on and started, the intelligent hardware starts to run with the motor of the electronic cooling fan set, and the air inlet cooling fan and the air outlet electronic cooling fan start to run at the maximum rotating speed and the longest working time, namely the initial rotating speed of the air inlet cooling fan is omega a0 ＝0.67ω a_max The initial rotation speed of the air outlet cooling fan is omega b0 ＝0.67ω b_max The initial working time of the air inlet cooling fan is t a0 ＝0.93t a_max The initial working time of the air outlet cooling fan is t b0 ＝0.93t b_max ；
At the same time, the initial ambient temperature T is measured by using a temperature sensor, a humidity sensor and an atmospheric pressure sensor 0 Ambient humidity RH 0 Atmospheric pressure P 0 Measuring engine temperature T by using an engine electronic control unit a0 Engine motor electronic control unit measures engine temperature T b0 By normalizing the parameters, an initial input vector of the BP neural network is obtainedObtaining an initial output vector by the operation of the BP neural network>
Step four: controlling the rotating speed of the air inlet cooling fan, the rotating speed of the air outlet cooling fan, the working time of the air inlet cooling fan and the working time of the air outlet cooling fan; obtaining initial output vectorAfter that, the rotation speed and the working time can be regulated and controlled, and the rotation speed of the air inlet cooling fan, the rotation speed of the air outlet cooling fan, the working time of the air inlet cooling fan and the working time of the air outlet cooling fan are regulated, so that the rotation speed of the air inlet cooling fan, the rotation speed of the air outlet cooling fan, the working time of the air inlet cooling fan and the working time of the air outlet cooling fan in the next sampling period are respectively as follows:
ω a1 ＝z 1 0 ω a_max ，
ω b1 ＝z 2 0 ω b_max ，
t a1 ＝z 3 0 t a_max ，
t b1 ＝z 4 0 t b_max ，
acquisition of the ith by a sensorAmbient temperature T, ambient humidity RH, barometric pressure P, engine temperature T in each sampling period a Engine motor temperature T b The input vector x of the ith sampling period is obtained by normalization i ＝(x 1 i ,x 2 i ,x 3 i ,x 4 i ,x 5 i ) Obtaining an output vector z of the ith sampling period through the operation of the BP neural network i ＝(z 1 i ,z 2 i ,z 3 i ,z 4 i ,z 5 i ) Then controlling the rotating speed of the air inlet cooling fan, the rotating speed of the air outlet cooling fan, the working time of the air inlet cooling fan and the working time of the air outlet cooling fan, so that the rotating speed of the air inlet cooling fan, the rotating speed of the air outlet cooling fan, the working time of the air inlet cooling fan and the working time of the air outlet cooling fan are respectively as follows in the (i+1) th sampling period:
ω a(i+1) ＝z 1 i ω a_max ，
ω b(i+1) ＝z 2 i ω b_max ，
t a(i+1) ＝z 3 i t a_max ，
t b(i+1) ＝z 4 i t b_max ，
and fifthly, monitoring an emergency stop signal of the riveting device.
According toAnd (3) judging whether the set working state is in an abnormal working state, and immediately stopping the equipment when the equipment is in the normal working state so as to overhaul, thereby avoiding further damage of the equipment.
Through the arrangement, the running state of the electronic cooling fan set is real-time through the sensor, and the air inlet cooling fan rotating speed, the air outlet cooling fan rotating speed, the air inlet cooling fan working time and the air outlet cooling fan working time are regulated and controlled through adopting the BP neural network algorithm, so that the electronic cooling fan set reaches the optimal running state, and the heat dissipation efficiency of an engine and an engine motor is improved.
The number of equipment and the scale of processing described herein are intended to simplify the description of the present invention. Applications, modifications and variations to the hybrid devices of the present invention will be readily apparent to those skilled in the art.
Although embodiments of the present invention have been disclosed above, it is not limited to the details and embodiments shown and described, it is well suited to various fields of use for which the invention would be readily apparent to those skilled in the art, and accordingly, the invention is not limited to the specific details and illustrations shown and described herein, without departing from the general concepts defined in the claims and their equivalents.
Claims (5)
1. A control method of a special engine heat radiator for hybrid power based on an electronic fan uses the special engine heat radiator for hybrid power based on the electronic fan,
comprising the following steps:
the engine motor is provided with a penetrating output shaft, one end of the output shaft is connected with the gearbox, the other end of the output shaft is connected with the clutch, and the engine motor is electrically connected with the engine motor electronic control device;
the output shaft of the driving motor is connected with the rear axle, and the driving motor outputs power to drive the rear axle of the vehicle;
wherein the engine motor and the drive motor can be used alone or in combination with an engine to simultaneously power a vehicle;
an engine, the output shaft of which is connected with the clutch, and the engine is electrically connected with an electronic engine control device;
an electronic cooling fan group which is divided into an air inlet cooling fan and an air outlet cooling fan, and is electrically connected with an electronic cooling fan control device;
wherein the electronic cooling fan group is arranged above the engine and the engine motor;
a monitoring device for acquiring data of temperature, humidity and atmospheric pressure;
the main control machine is connected with the engine motor electronic control device, the engine electronic control device and the monitoring device at the same time and is used for determining the rotating speed and the working time of the electronic cooling fan group after analyzing and processing the data;
it is characterized in that the method comprises the steps of,
collecting monitoring data, comprising: temperature, humidity, barometric pressure, engine temperature, and engine motor temperature; transmitting the data to a main control computer through a CAN bus communication circuit;
the main control computer analyzes and processes the monitoring data in real time, determines the rotating speed and the working time length of the electronic cooling fan group based on the regulation and control of the BP neural network, and comprises the following steps:
step one, according to the sampling period, collecting the ambient temperature T, the ambient humidity RH, the atmospheric pressure P and the engine temperature T a Engine motor temperature T b ；
Step two, collecting the ambient temperature T, the ambient humidity RH, the atmospheric pressure P and the engine temperature T in sequence a Engine motor temperature T b Normalizing to determine an input layer vector x= { x of the three-layer BP neural network 1 ,x 2 ,x 3 ,x 4 ,x 5 -a }; wherein x is 1 Is the ambient temperature coefficient, x 2 Is the coefficient of environmental humidity, x 3 Is the atmospheric pressure coefficient, x 4 Is the temperature coefficient of the engine, x 5 The engine motor temperature coefficient;
step three, mapping the input layer vector to an intermediate layer, wherein the intermediate layer vector y= { y 1 ,y 2 ,…,y m -a }; m is the number of intermediate layer nodes;
step four, obtaining an output layer vector z= { z 1 ,z 2 ,z 3 ,z 4 ,z 5 -a }; wherein z is 1 Rotational speed adjusting coefficient, z of air inlet cooling fan 2 Output air cooling fan rotation speed regulating coefficient, z 3 Working time adjusting coefficient z of air inlet cooling fan 4 Working time adjusting coefficient z of air outlet cooling fan 5 Is urgentA stop signal;
fifthly, controlling the rotation speed of the air inlet cooling fan, the rotation speed of the air outlet cooling fan, the working time of the air inlet cooling fan and the working time of the air outlet cooling fan to enable
ω a(i+1) ＝z 1 i ω a_max ，
ω b(i+1) ＝z 2 i ω b_max ，
t a(i+1) ＝z 3 i t a_max ，
t b(i+1) ＝z 4 i t b_max ，
Wherein z is 1 i 、z 2 i 、z 3 i 、z 4 i Layer vector parameters omega are respectively output for the ith sampling period a_max 、ω b_max 、t a_max 、t b_max Respectively setting maximum rotation speed of an air inlet cooling fan, maximum rotation speed of an air outlet cooling fan, maximum working time of the air inlet cooling fan and maximum working time of the air outlet cooling fan, omega a(i+1) 、ω b(i+1) 、t a(i+1) 、t b(i+1) The rotation speed of the air inlet cooling fan, the rotation speed of the air outlet cooling fan, the working time of the air inlet cooling fan and the working time of the air outlet cooling fan in the (i+1) th sampling period are respectively set.
2. The method for controlling a heat sink of a hybrid power-dedicated engine based on an electronic fan as set forth in claim 1, further comprising, after the fifth step: judging the operation state of the riveting device in the (i+1) th sampling period according to the sampling signals of the ambient temperature, the ambient humidity, the atmospheric pressure, the engine temperature and the engine motor temperature in the (i) th sampling period, and outputting signalsIn this case, an emergency stop is performed.
3. The electronic fan-based mix of claim 2The control method of the engine heat dissipating device special for the combined power is characterized in that in the second step, the environment temperature T, the environment humidity RH, the atmospheric pressure P and the engine temperature T a Engine motor temperature T b The specification formula is:
wherein x is j To input parameters in layer vectors, X j Respectively measured parameters T, RH, P, T a 、T b ，j＝1,2,3,4,5；X jmax And X jmin Respectively the maximum and minimum of the corresponding measured parameters.
4. The control method of the hybrid power-dedicated engine heat sink based on an electronic fan according to claim 3, wherein in the third step, the number m of intermediate layer nodes satisfies:wherein n is the number of nodes of the input layer, and p is the number of nodes of the output layer;
5. the method for controlling a heat sink of a hybrid power dedicated engine based on an electronic fan as set forth in claim 4, wherein in an initial operation state, a rotational speed of the intake cooling fan, a rotational speed of the exhaust cooling fan, an operation time of the intake cooling fan, and an operation time of the exhaust cooling fan satisfy empirical values:
ω a0 ＝0.67ω a_max ，
ω b0 ＝0.67ω b_max ，
t a0 ＝0.93t a_max ，
t b0 ＝0.93t b_max ，
wherein omega a0 For initial rotational speed, ω, of the inlet air cooling fan b0 To output the initial rotation speed of the cooling fan, t a0 For cooling the fanStart time, t b0 The initial working time of the cooling fan for the air outlet cooling; omega a_max For maximum rotation speed of air intake cooling fan omega b_max To the maximum rotation speed of the air-out cooling fan, t a_max For the longest working time of the air inlet cooling fan, t b_max The maximum operating time of the cooling fan is set for the air outlet.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710270262.3A CN106985658B (en) | 2017-04-24 | 2017-04-24 | Control method of special engine heat dissipation device for hybrid power based on electronic fan |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710270262.3A CN106985658B (en) | 2017-04-24 | 2017-04-24 | Control method of special engine heat dissipation device for hybrid power based on electronic fan |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN106985658A CN106985658A (en) | 2017-07-28 |
| CN106985658B true CN106985658B (en) | 2023-09-29 |
Family
ID=59417867
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710270262.3A Active CN106985658B (en) | 2017-04-24 | 2017-04-24 | Control method of special engine heat dissipation device for hybrid power based on electronic fan |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106985658B (en) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109878499B (en) * | 2019-03-29 | 2020-09-25 | 辽宁工业大学 | Hybrid vehicle power control method |
| CN113050426B (en) * | 2021-03-22 | 2022-11-25 | 山东大学 | Genetic ant colony algorithm fused thermal management control method and system |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2005343377A (en) * | 2004-06-04 | 2005-12-15 | Toyota Motor Corp | Control device of cooling fan |
| JP2006097648A (en) * | 2004-09-30 | 2006-04-13 | Mazda Motor Corp | Control device for electric fan for cooling engine |
| CN101389847A (en) * | 2006-02-22 | 2009-03-18 | 丰田自动车株式会社 | Control device for vehicle, control method for vehicle, and method for estimating power consumption of cooling fan |
| JP2012137056A (en) * | 2010-12-27 | 2012-07-19 | Iseki & Co Ltd | Prime mover structure of working vehicle |
| CN102862473A (en) * | 2011-07-06 | 2013-01-09 | 上海汽车集团股份有限公司 | Method for controlling rotary speed of cooling fan of vehicle and hybrid car |
| CN204299992U (en) * | 2012-02-22 | 2015-04-29 | 卡特彼勒公司 | There is the hydraulic system of low-speed handing pattern |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP4165334B2 (en) * | 2003-08-07 | 2008-10-15 | トヨタ自動車株式会社 | Control device for cooling fan |
| WO2014192172A1 (en) * | 2013-09-19 | 2014-12-04 | 株式会社小松製作所 | Work vehicle |
-
2017
- 2017-04-24 CN CN201710270262.3A patent/CN106985658B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2005343377A (en) * | 2004-06-04 | 2005-12-15 | Toyota Motor Corp | Control device of cooling fan |
| JP2006097648A (en) * | 2004-09-30 | 2006-04-13 | Mazda Motor Corp | Control device for electric fan for cooling engine |
| CN101389847A (en) * | 2006-02-22 | 2009-03-18 | 丰田自动车株式会社 | Control device for vehicle, control method for vehicle, and method for estimating power consumption of cooling fan |
| JP2012137056A (en) * | 2010-12-27 | 2012-07-19 | Iseki & Co Ltd | Prime mover structure of working vehicle |
| CN102862473A (en) * | 2011-07-06 | 2013-01-09 | 上海汽车集团股份有限公司 | Method for controlling rotary speed of cooling fan of vehicle and hybrid car |
| CN204299992U (en) * | 2012-02-22 | 2015-04-29 | 卡特彼勒公司 | There is the hydraulic system of low-speed handing pattern |
Non-Patent Citations (5)
| Title |
|---|
| P.Karava.Experimental study of the thermal performance of a large institutional building with mixed-mode cooling and hybrid ventilation.Building and Environment.2012,第57卷全文. * |
| 刘晓晴 ; 胡军 ; .电动冷却风扇低能耗、低噪声大客车的研发.客车技术与研究.2007,(第06期),全文. * |
| 王加雪等.混合动力汽车车载复合电源参数匹配及其优化.吉林大学学报（工学版）.2008,第38卷(第4期),全文. * |
| 范祖和.变量泵在内燃机车静液压系统中的运用.内燃机车.2010,(第6期),全文. * |
| 黄晖.发动机冷却系统的研究与优化设计.中国优秀博硕士学位论文全文数据库（硕士）工程科技II辑.2006,(第7期),全文. * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN106985658A (en) | 2017-07-28 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109375611B (en) | Hardware-in-loop test system for vehicle control unit of new energy automobile | |
| CN104999923B (en) | Traction battery air hot pipe manages control system | |
| CN106671785B (en) | Battery management system and method for electric vehicle | |
| US11254298B2 (en) | System and method for compensation of turbo lag in hybrid vehicles | |
| CN205239180U (en) | Initiative air cooling radiation system of automobile -used power battery group | |
| CN105083275B (en) | Vehicle | |
| WO2022105320A1 (en) | Power battery active thermal management system and control method | |
| CN106985658B (en) | Control method of special engine heat dissipation device for hybrid power based on electronic fan | |
| CN112373457B (en) | Energy and heat integrated model of hybrid electric vehicle for energy-saving control | |
| CN105522932A (en) | Power battery pack active air cooling heat radiating system for vehicle and control method thereof | |
| CN107662471A (en) | Heating control devices and method for plug-in hybrid electric vehicle | |
| CN109649156A (en) | A kind of electric automobile cooling system and its control method of automatic adjusument | |
| CN104925052B (en) | Method and system for the loss estimation of adaptive motor power | |
| CN109552112A (en) | A kind of battery energy storage control method for hybrid vehicle | |
| CN109878499B (en) | Hybrid vehicle power control method | |
| CN113002292A (en) | Active air inlet grille control method and device, vehicle control unit and new energy automobile | |
| CN110441686B (en) | Motor testing system based on real-time vehicle condition load and monitoring method thereof | |
| CN114643855A (en) | FSEC-based whole vehicle cooling system and control method thereof | |
| CN111002867A (en) | Electric power distribution method and device of hybrid power system and hybrid power automobile | |
| CN107415936A (en) | Battery pre-heating mean, device and hybrid control device | |
| CN107288735A (en) | A kind of method for setting up automotive electronics rotation speed of the fan control function | |
| CN110077389A (en) | A kind of plug-in hybrid electric automobile energy management method | |
| CN117465412A (en) | Hybrid electric vehicle online energy management method based on optimal energy flow efficiency | |
| CN108583473A (en) | Intelligent mixed power automobile, fan cooling system and method | |
| WO2017119173A1 (en) | Vehicle air-conditioning apparatus |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| CB02 | Change of applicant information |
Address after: 130117 No. 1 Huayuan Road, economic development zone, Changchun City, Jilin Province Applicant after: SERGEANT SCHOOL, ACADEMY OF ARMORED FORCES, PLA Address before: 130117 No. 1 Huayuan Road, economic development zone, Changchun City, Jilin Province Applicant before: Chinese People's Liberation Army Armored Force Technical College |
|
| CB02 | Change of applicant information | ||
| CB03 | Change of inventor or designer information |
Inventor after: Yao Yi Inventor after: Wang Jiaxue Inventor before: Wang Jiaxue Inventor before: Zhang Jianguo Inventor before: Yao Yi Inventor before: Sun Qishun Inventor before: Wang Xue Inventor before: Huang Yongsheng Inventor before: Zhang Hongcai |
|
| CB03 | Change of inventor or designer information | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |