CN113848006A - Acceleration demand torque MAP calibration method and device and readable storage medium - Google Patents
Acceleration demand torque MAP calibration method and device and readable storage medium Download PDFInfo
- Publication number
- CN113848006A CN113848006A CN202111132576.XA CN202111132576A CN113848006A CN 113848006 A CN113848006 A CN 113848006A CN 202111132576 A CN202111132576 A CN 202111132576A CN 113848006 A CN113848006 A CN 113848006A
- Authority
- CN
- China
- Prior art keywords
- accelerator pedal
- demand torque
- acceleration demand
- vehicle speed
- coordinate
- 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.)
- Granted
Links
- 230000001133 acceleration Effects 0.000 title claims abstract description 200
- 238000000034 method Methods 0.000 title claims abstract description 57
- 238000006243 chemical reaction Methods 0.000 claims abstract description 41
- 230000005540 biological transmission Effects 0.000 claims abstract description 24
- 238000003491 array Methods 0.000 claims abstract description 20
- 238000005096 rolling process Methods 0.000 claims abstract description 14
- 230000007246 mechanism Effects 0.000 claims description 15
- 230000003247 decreasing effect Effects 0.000 claims description 6
- 238000012360 testing method Methods 0.000 abstract description 11
- 238000004364 calculation method Methods 0.000 description 9
- 230000008859 change Effects 0.000 description 6
- 238000004891 communication Methods 0.000 description 6
- 230000008569 process Effects 0.000 description 6
- 230000006870 function Effects 0.000 description 4
- 238000010586 diagram Methods 0.000 description 2
- 239000000446 fuel Substances 0.000 description 2
- 230000005484 gravity Effects 0.000 description 2
- 230000010355 oscillation Effects 0.000 description 2
- 230000009466 transformation Effects 0.000 description 2
- 239000010426 asphalt Substances 0.000 description 1
- 230000009194 climbing Effects 0.000 description 1
- 238000012790 confirmation Methods 0.000 description 1
- 230000008878 coupling Effects 0.000 description 1
- 238000010168 coupling process Methods 0.000 description 1
- 238000005859 coupling reaction Methods 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 238000013507 mapping Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000010079 rubber tapping Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01L—MEASURING FORCE, STRESS, TORQUE, WORK, MECHANICAL POWER, MECHANICAL EFFICIENCY, OR FLUID PRESSURE
- G01L5/00—Apparatus for, or methods of, measuring force, work, mechanical power, or torque, specially adapted for specific purposes
- G01L5/0028—Force sensors associated with force applying means
- G01L5/0042—Force sensors associated with force applying means applying a torque
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M17/00—Testing of vehicles
- G01M17/007—Wheeled or endless-tracked vehicles
-
- 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
- Y02T10/72—Electric energy management in electromobility
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Electric Propulsion And Braking For Vehicles (AREA)
Abstract
The invention discloses a method and a device for calibrating an acceleration demand torque (MAP), and a readable storage medium, wherein the method for calibrating the acceleration demand torque (MAP) comprises the following steps: acquiring finished automobile parameters and a parameter conversion formula, wherein the finished automobile parameters comprise motor peak power, motor peak torque, finished automobile maximum speed, finished automobile rolling radius, finished automobile transmission ratio and a motor external characteristic curve; respectively carrying out interval division on the vehicle speed and the opening of the accelerator pedal according to a preset rule to generate a vehicle speed coordinate and an accelerator pedal opening coordinate; generating a first acceleration demand torque array under the condition of 100% of accelerator pedal opening according to the vehicle speed coordinate, the vehicle parameters and the parameter conversion formula; and generating acceleration demand torque arrays of different accelerator pedal opening coordinates according to the first acceleration demand torque array and a preset empirical coefficient. The automatic calibration of the acceleration demand torque MAP is realized, the workload of the real vehicle calibration test is greatly reduced, the time is saved, and the calibration efficiency is improved.
Description
Technical Field
The invention relates to the field of MAP calibration, in particular to a method and a device for calibrating an acceleration demand torque MAP and a computer readable storage medium.
Background
Most of the existing electric automobiles determine the acceleration demand torque of a driver according to vehicle states such as vehicle speed and accelerator pedal opening. The mapping relation of the vehicle speed, the opening degree of the accelerator pedal and the torque required by the driver is realized by calibrating the MAP (MAP) of the torque required by the driver based on the two-dimensional linear interpolation of the vehicle speed and the opening degree of the accelerator pedal. The conventional way of calibrating the driver acceleration demand torque MAP at present is generally: and determining a MAP horizontal and vertical coordinate and a corresponding output driver acceleration demand torque value by referring to the external characteristic curve of the motor and combining with actual vehicle calibration. However, this method needs a lot of real vehicle calibration tests to mark a driver acceleration demand torque MAP that meets vehicle functions, comfort, smoothness, and user habits, and a lot of real vehicle calibration tests have large workload, long time consumption, and low efficiency.
Disclosure of Invention
The invention mainly aims to provide a method and a device for calibrating an acceleration demand torque (MAP) and a computer readable storage medium, and aims to solve the technical problems that a traditional calibration mode of the acceleration demand torque (MAP) needs a large amount of real-vehicle calibration tests, and is large in workload, long in time consumption and low in efficiency.
In order to achieve the above object, the present invention provides an acceleration demand torque MAP calibration method, including the steps of:
acquiring finished automobile parameters and a parameter conversion formula, wherein the finished automobile parameters comprise motor peak power, motor peak torque, finished automobile maximum speed, finished automobile rolling radius, finished automobile transmission ratio and a motor external characteristic curve;
respectively carrying out interval division on the vehicle speed and the opening of the accelerator pedal according to a preset rule to generate a vehicle speed coordinate and an accelerator pedal opening coordinate;
generating a first acceleration demand torque array under the condition of 100% of accelerator pedal opening according to the vehicle speed coordinate, the vehicle parameters and the parameter conversion formula;
and generating acceleration demand torque arrays of different accelerator pedal opening coordinates according to the first acceleration demand torque array and a preset empirical coefficient.
Preferably, before the step of generating the acceleration demand torque arrays of different accelerator pedal opening degree coordinates according to the first acceleration demand torque array and a preset empirical coefficient, the method further includes:
acquiring habit information of stepping on an accelerator by a user;
dividing the range of the opening degree of the accelerator pedal according to the habit information, wherein the range of the opening degree of the accelerator pedal comprises a light-stepping accelerator pedal opening degree range, a common accelerator pedal opening degree range and/or a deep-stepping accelerator pedal opening degree range;
and generating habit coefficients corresponding to all ranges of the opening degree of the accelerator pedal according to the habit information, and adjusting preset experience coefficients according to the habit coefficients.
Preferably, after the step of generating the acceleration demand torque arrays of different accelerator pedal opening degree coordinates according to the first acceleration demand torque array and a preset empirical coefficient, the method further includes:
and respectively taking the opening coordinate of the accelerator pedal and the speed coordinate as abscissa and the acceleration demand torque as ordinate to generate a line graph.
Preferably, after the step of dividing the vehicle speed and the accelerator pedal opening respectively according to a preset rule to generate a vehicle speed coordinate and an accelerator pedal opening coordinate, the method further includes:
obtaining a first vehicle speed coordinate according to the motor peak power, the motor peak torque and the parameter conversion formula;
and replacing a second vehicle speed coordinate with the smallest absolute value of the difference value between the first vehicle speed coordinate and the first vehicle speed coordinate in the vehicle speed coordinates by the first vehicle speed coordinate.
Preferably, the step of generating a first acceleration demand torque array at an opening degree of an accelerator pedal of 100% according to the vehicle speed coordinate, the vehicle parameters and the parameter conversion formula includes:
calculating actual acceleration demand torque values corresponding to speed coordinates under 100% of accelerator pedal opening according to the finished automobile parameters and the parameter conversion formula;
and forming a first acceleration demand torque array by using the actual acceleration demand torque values corresponding to the vehicle speed coordinates.
Preferably, the step of calculating the actual acceleration demand torque value corresponding to each vehicle speed coordinate under 100% accelerator pedal opening according to the vehicle parameters and the parameter conversion formula comprises:
when the vehicle speed coordinate is less than or equal to the first vehicle speed coordinate, setting the actual acceleration demand torque corresponding to each vehicle speed coordinate as the motor peak torque;
and when the speed coordinate is greater than the first speed coordinate, substituting the peak power of the motor into a parameter conversion formula, and generating an actual acceleration demand torque value corresponding to the speed coordinate according to the speed coordinate, the vehicle parameter and the parameter conversion formula.
Preferably, the step of generating an acceleration demand torque array of different accelerator pedal opening degree coordinates according to the first acceleration demand torque array and a preset empirical coefficient includes:
setting the first acceleration demand torque array as a maximum value array;
setting an acceleration demand torque array with the opening of an accelerator pedal being 0% as a minimum value array;
and according to a preset empirical coefficient and the descending order of the opening coordinates of the accelerator pedal, the maximum value array is decreased to the minimum value array in a mode that the variation amplitude is gradually reduced, and the acceleration demand torque arrays of different opening coordinates of the accelerator pedal are generated.
Preferably, the step of setting the acceleration demand torque array of 0% accelerator pedal opening as the minimum value array includes:
and setting an error mechanism of a coordinate point of 0% of the opening degree of the accelerator pedal, wherein the error mechanism is that when the received actual opening degree of the accelerator pedal is smaller than or equal to a preset minimum value, the value of the default opening degree of the accelerator pedal is 0%.
In addition, in order to achieve the above object, the present invention further provides an acceleration demand torque MAP calibration apparatus, which includes a memory, a processor and an acceleration demand torque MAP calibration program stored in the memory and operable on the processor, wherein the processor implements the steps of the acceleration demand torque MAP calibration method when executing the acceleration demand torque MAP calibration program.
In addition, to achieve the above object, the present invention further provides a readable storage medium having stored thereon an acceleration demand torque MAP calibration application, which when executed by a processor implements the steps of the acceleration demand torque MAP calibration method described above.
According to the method, the device and the readable storage medium for calibrating the acceleration demand torque MAP, which are provided by the embodiment of the invention, the calculation conforming to the external characteristic curve of the motor is carried out on the vehicle parameters such as the peak power of the motor, the peak torque of the motor, the maximum vehicle speed of the whole vehicle, the rolling radius of the whole vehicle, the transmission ratio of the whole vehicle and the like, so that the automatic generation of the acceleration demand torque array of the driver under the condition of 100% accelerator pedal opening is realized; by means of setting the empirical coefficients, automatic generation of acceleration demand torques of drivers with different accelerator pedal opening coordinates and different vehicle speed coordinates is achieved, automatic calibration of the acceleration demand torque MAP is achieved, workload of real vehicle calibration testing is greatly reduced, time is saved, and calibration efficiency is improved.
Drawings
FIG. 1 is a schematic diagram of an apparatus in a hardware operating environment according to an embodiment of the present invention;
FIG. 2 is a flowchart illustrating an embodiment of an acceleration requested torque MAP calibration method according to the present invention;
FIG. 3 is a flowchart illustrating an acceleration requested torque MAP calibration method according to another embodiment of the present invention;
fig. 4 is a detailed flowchart of step S40 in fig. 2.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The main solution of the embodiment of the invention is as follows: the method comprises the steps of carrying out interval division on the vehicle speed and the accelerator pedal opening degree to generate a vehicle speed coordinate and an accelerator pedal opening degree coordinate, generating a first acceleration demand torque array under the condition of 100% accelerator pedal opening degree according to the vehicle speed coordinate, a whole vehicle parameter and a parameter conversion formula, and generating acceleration demand torque arrays of different accelerator pedal opening degree coordinates according to the first acceleration demand torque array and preset empirical coefficients.
Because the coupling degree between each mechanism of the engine is high, the nonlinearity is strong, the mechanism modeling is difficult, and meanwhile, the control algorithm based on the mechanism model is generally very complex and has high calculation difficulty, so that the real-time requirement of the engine is difficult to meet. And the modeling complexity can be effectively reduced by using MAP instead of mechanism modeling, and the MAP as a Control law can provide rapid table look-up calculation capability and occupy a small ECU (electronic Control unit) storage unit. Therefore, MAP is often used in engine modeling and control. The engine calibration process determines the values in the MAP. The conventional way of calibrating the driver acceleration demand torque MAP at present is generally: and determining a MAP horizontal and vertical coordinate and a corresponding output driver acceleration demand torque value by referring to the external characteristic curve of the motor and combining with actual vehicle calibration. However, this method needs a lot of real vehicle calibration tests to mark a driver acceleration demand torque MAP that meets vehicle functions, comfort, smoothness, and user habits, and a lot of real vehicle calibration tests have large workload, long time consumption, and low efficiency.
The invention provides a solution, which realizes the automatic calibration of the acceleration demand torque MAP, greatly reduces the workload of the real vehicle calibration test, saves the time and improves the calibration efficiency.
As shown in fig. 1, fig. 1 is a schematic device structure diagram of a hardware operating environment according to an embodiment of the present invention.
The device of the embodiment of the invention can be a PC, and can also be a mobile device equipment with a display function, such as a smart phone, a tablet computer, a portable computer and the like.
As shown in fig. 1, the apparatus may include: a processor 1001, such as a CPU, a network interface 1004, a user interface 1003, a memory 1005, a communication bus 1002. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display screen (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface). The memory 1005 may be a high-speed RAM memory or a non-volatile memory (e.g., a magnetic disk memory). The memory 1005 may alternatively be a storage device separate from the processor 1001.
Optionally, the device may also include a camera, RF (Radio Frequency) circuitry, sensors, audio circuitry, WiFi modules, and the like. Such as light sensors, motion sensors, and other sensors. In particular, the light sensor may include an ambient light sensor that adjusts the brightness of the display screen based on the intensity of ambient light, and a proximity sensor that turns off the display screen and/or backlight when the mobile device is moved to the ear. As one of the motion sensors, the gravity acceleration sensor can detect the magnitude of acceleration in each direction (generally, three axes), detect the magnitude and direction of gravity when the mobile device is stationary, and can be used for applications of recognizing the posture of the mobile device (such as horizontal and vertical screen switching, related games, magnetometer posture calibration), vibration recognition related functions (such as pedometer and tapping), and the like; of course, the mobile device may also be configured with other sensors such as a gyroscope, a barometer, a hygrometer, a thermometer, and an infrared sensor, which are not described herein again.
Those skilled in the art will appreciate that the configuration of the device shown in fig. 1 is not intended to be limiting of the device and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.
As shown in fig. 1, the memory 1005, which is a kind of computer storage medium, may include therein an operating system, a network communication module, a user interface module, and an acceleration demand torque MAP calibration program.
In the apparatus shown in fig. 1, the network interface 1004 is mainly used for connecting to a backend server and performing data communication with the backend server; the user interface 1003 is mainly used for connecting a client (user side) and performing data communication with the client; and the processor 1001 may be configured to invoke the acceleration demand torque MAP calibration routine stored in the memory 1005 and perform the following operations:
acquiring finished automobile parameters and a parameter conversion formula, wherein the finished automobile parameters comprise motor peak power, motor peak torque, finished automobile maximum speed, finished automobile rolling radius, finished automobile transmission ratio and a motor external characteristic curve;
respectively carrying out interval division on the vehicle speed and the opening of the accelerator pedal according to a preset rule to generate a vehicle speed coordinate and an accelerator pedal opening coordinate;
generating a first acceleration demand torque array under the condition of 100% of accelerator pedal opening according to the vehicle speed coordinate, the vehicle parameters and the parameter conversion formula;
and generating acceleration demand torque arrays of different accelerator pedal opening coordinates according to the first acceleration demand torque array and a preset empirical coefficient.
Further, the processor 1001 may invoke an acceleration demand torque MAP calibration routine stored in the memory 1005, and also perform the following operations:
before the step of generating the acceleration demand torque arrays of different accelerator pedal opening coordinates according to the first acceleration demand torque array and the preset empirical coefficient, the method further comprises the following steps:
acquiring habit information of stepping on an accelerator by a user;
dividing the range of the opening degree of the accelerator pedal according to the habit information, wherein the range of the opening degree of the accelerator pedal comprises a light-stepping accelerator pedal opening degree range, a common accelerator pedal opening degree range and/or a deep-stepping accelerator pedal opening degree range;
and generating habit coefficients corresponding to all ranges of the opening degree of the accelerator pedal according to the habit information, and adjusting preset experience coefficients according to the habit coefficients.
Further, the processor 1001 may invoke an acceleration demand torque MAP calibration routine stored in the memory 1005, and also perform the following operations:
after the step of generating the acceleration demand torque arrays of different accelerator pedal opening degree coordinates according to the first acceleration demand torque array and a preset empirical coefficient, the method further includes:
and respectively taking the opening coordinate of the accelerator pedal and the speed coordinate as abscissa and the acceleration demand torque as ordinate to generate a line graph.
Further, the processor 1001 may invoke an acceleration demand torque MAP calibration routine stored in the memory 1005, and also perform the following operations:
after the step of respectively carrying out interval division on the vehicle speed and the accelerator pedal opening according to a preset rule and generating a vehicle speed coordinate and an accelerator pedal opening coordinate, the method further comprises the following steps:
obtaining a first vehicle speed coordinate according to the motor peak power, the motor peak torque and the parameter conversion formula;
and replacing a second vehicle speed coordinate with the smallest absolute value of the difference value between the first vehicle speed coordinate and the first vehicle speed coordinate in the vehicle speed coordinates by the first vehicle speed coordinate.
Further, the processor 1001 may invoke an acceleration demand torque MAP calibration routine stored in the memory 1005, and also perform the following operations:
the step of generating a first acceleration demand torque array under the condition of 100% of accelerator pedal opening according to the vehicle speed coordinate, the vehicle parameters and the parameter conversion formula comprises the following steps:
calculating actual acceleration demand torque values corresponding to speed coordinates under 100% of accelerator pedal opening according to the finished automobile parameters and the parameter conversion formula;
and forming a first acceleration demand torque array by using the actual acceleration demand torque values corresponding to the vehicle speed coordinates.
Further, the processor 1001 may invoke an acceleration demand torque MAP calibration routine stored in the memory 1005, and also perform the following operations:
the step of calculating the actual acceleration demand torque value corresponding to each vehicle speed coordinate under the condition of 100% accelerator pedal opening according to the vehicle parameters and the parameter conversion formula comprises the following steps:
when the vehicle speed coordinate is less than or equal to the first vehicle speed coordinate, setting the actual acceleration demand torque corresponding to each vehicle speed coordinate as the motor peak torque;
and when the speed coordinate is greater than the first speed coordinate, substituting the peak power of the motor into a parameter conversion formula, and generating an actual acceleration demand torque value corresponding to the speed coordinate according to the speed coordinate, the vehicle parameter and the parameter conversion formula.
Further, the processor 1001 may invoke an acceleration demand torque MAP calibration routine stored in the memory 1005, and also perform the following operations:
the step of generating the acceleration demand torque arrays of different accelerator pedal opening coordinates according to the first acceleration demand torque array and a preset empirical coefficient comprises:
setting the first acceleration demand torque array as a maximum value array;
setting an acceleration demand torque array with the opening of an accelerator pedal being 0% as a minimum value array;
and according to a preset empirical coefficient and the descending order of the opening coordinates of the accelerator pedal, the maximum value array is decreased to the minimum value array in a mode that the variation amplitude is gradually reduced, and the acceleration demand torque arrays of different opening coordinates of the accelerator pedal are generated.
Further, the processor 1001 may invoke an acceleration demand torque MAP calibration routine stored in the memory 1005, and also perform the following operations:
the step of setting the acceleration demand torque array of 0% of the accelerator pedal opening as the minimum value array includes:
and setting an error mechanism of a coordinate point of 0% of the opening degree of the accelerator pedal, wherein the error mechanism is that when the received actual opening degree of the accelerator pedal is smaller than or equal to a preset minimum value, the value of the default opening degree of the accelerator pedal is 0%.
Referring to fig. 2, a first embodiment of an acceleration demand torque MAP calibration method of the present invention provides an acceleration demand torque MAP calibration method including:
step S10, acquiring vehicle parameters and a parameter conversion formula, wherein the vehicle parameters comprise motor peak power, motor peak torque, vehicle maximum speed, vehicle rolling radius, vehicle transmission ratio and a motor external characteristic curve;
the acceleration demand torque MAP is a table in which the pedal opening degree and the vehicle speed are plotted on the abscissa and the ordinate, and the acceleration demand torque corresponding to each coordinate is used.
The acceleration demand torque MAP is calibrated by determining a value of the acceleration demand torque corresponding to each coordinate.
The vehicle parameters are parameters representing the vehicle performance, such as: the method comprises the following steps of motor peak power, motor peak torque, the highest speed of the whole vehicle, the rolling radius of the whole vehicle, the transmission ratio of the whole vehicle, an external characteristic curve, acceleration time of 0-100 km/h, the maximum climbing gradient and the like.
The parameter conversion formula is a general physical formula representing the relationship between the parameters of the whole vehicle, such as: power-force-speed, torque-9550-power/speed, transmission ratio-input shaft speed/output shaft speed, etc. In order to assist understanding, after the conversion formulas of the parameters are collated, the embodiment provides a formula (1) of power, vehicle speed, acceleration required torque and related vehicle parameters under 100% of accelerator pedal opening, and the formula is as follows:
in equation (1), P is power in kilowatts (Kw); v is vehicle speed, unit kilometer per hour (Km/h); mu is the transmission ratio of the whole vehicle, T is the torque, and the unit is Nm (N.m); and R is the rolling radius of the whole vehicle in meters (m).
It is easily understood that in formula (1), when any four of the parameters P, T, V, R, μ are known, the value of the other parameter can be calculated by a simple mathematical transformation. Since both μ and R are known parameters for a vehicle of a known type, equation (1) is not limited to the calculation of power at 100% accelerator pedal opening, but can be used for the calculation of vehicle speed and torque at 100% accelerator pedal opening by a simple mathematical transformation.
The motor peak power is the maximum power value that the motor can reach and can operate for a short time without failure.
The motor peak torque is the maximum torque value that the motor can achieve and operate for a short time without failure.
The maximum speed of the whole vehicle is the maximum driving speed of the vehicle on a road surface (concrete or asphalt) with good level, and is the speed of the vehicle when the driving resistance and the driving force are balanced under the windless condition of a flat road surface.
The rolling radius of the whole vehicle is the equivalent radius calculated when the wheels roll.
The transmission ratio of the whole automobile is the ratio of the rotating speeds of the front and the rear transmission mechanisms of the transmission device in the automobile transmission system, the transmission ratio of the automobile transmission system has two types, namely the speed ratio of the main transmission and the speed ratio of the transmission, in the same automobile type, the speed ratio of the main transmission is a fixed value, the speed ratio of the transmission has different values according to different gears, and the speed ratio data of various types of automobiles can be found in an automobile performance data manual.
The motor external characteristic curve is a curve of power (specifically, effective power and fuel consumption rate) or torque measured at the full load of the engine (the gasoline engine is full throttle) along with the change of the rotating speed, and represents the maximum power performance of the engine, and the maximum power and the maximum torque which can be output by the engine and the corresponding rotating speed and fuel consumption can be seen from the external characteristic curve.
Step S20, respectively carrying out interval division on the vehicle speed and the accelerator pedal opening according to a preset rule to generate a vehicle speed coordinate and an accelerator pedal opening coordinate;
the range of the vehicle speed for interval division is 0 to the highest vehicle speed of the whole vehicle, and the range of the opening degree of the accelerator pedal for interval division is 0-100%.
The rule for dividing the interval between the vehicle speed and the accelerator pedal opening may be an optimal division method obtained by analyzing big data of the vehicle usage according to vehicle monitoring information, driver driving habit information, vehicle type classification, region classification and other categories, for example: setting the current speed of the whole vehicle to be divided into 15 sections, wherein a low-speed interval with the speed less than or equal to 30Km/h is divided into 6 sections, a common speed interval with the speed between 30Km/h and 90Km/h is divided into 6 sections, and a high-speed interval with the speed higher than 90Km/h is divided into 3 sections, so that 16 vehicle speed coordinates are obtained; the method comprises the steps of setting an accelerator pedal opening interval into 15 sections, wherein a light accelerator pedal opening interval with the accelerator pedal opening smaller than or equal to 20% is divided into 4 sections, a common accelerator pedal opening interval with the accelerator pedal opening between 20% and 60% is divided into 5 sections, and a deep accelerator pedal opening interval with the accelerator pedal opening higher than 60% is divided into 6 sections, so that 16 accelerator pedal opening coordinates are obtained, and a basic coordinate structure of 15 multiplied by 15 can be obtained.
Step S30, generating a first acceleration demand torque array under 100% of accelerator pedal opening according to the vehicle speed coordinate, the vehicle parameters and the parameter conversion formula;
the parameter conversion formula is given by taking the formula (1) as an example, for a determined automobile or an automobile of a determined automobile type, the transmission ratio mu of the whole automobile and the rolling radius R of the whole automobile are known parameters, and for each speed coordinate, the speed V of the automobile is also known parameter, so that the torque T corresponding to different speed coordinates can be obtained by determining the power P of different speed coordinates, the relation between the power P and the torque T needs to accord with the external characteristic curve of the motor, the generated array of the power P and the torque T which do not accord with the external characteristic curve of the motor is discarded, or the relation between the power P and the torque T is limited according with the external characteristic curve of the motor by establishing a model, calculating the formula, setting conditions and the like, and the first acceleration demand torque array under the opening degree of the accelerator pedal of 100% is obtained.
In order to ensure that the first acceleration demand torque array generated according to the theory under the condition of 100% of the opening degree of the accelerator pedal is consistent with the external characteristic curve of the motor, the calculated first acceleration demand torque array and the actually measured external characteristic curve of the motor can be simultaneously generated and displayed for secondary confirmation of technicians.
It is easily understood that the first acceleration demand torque array is a set of values consisting of acceleration demand torques corresponding to all vehicle speed coordinates at 100% accelerator pedal opening.
And step S40, generating acceleration demand torque arrays of different accelerator pedal opening coordinates according to the first acceleration demand torque array and a preset empirical coefficient.
The relation between different accelerator pedal opening degrees and acceleration required torque at the same vehicle speed can be obtained by analyzing the MAP calibrated by actual vehicle tests in the past, an empirical coefficient is generated by the relation, and for different accelerator pedal opening degrees, the empirical coefficient can be the same or can be set independently for each accelerator pedal opening coordinate (for example, the empirical coefficient corresponding to 80% of the accelerator pedal opening degrees is 4/5, and the empirical coefficient corresponding to 20% of the accelerator pedal opening degrees is 1/8), or can be set as a regular series of empirical coefficients (for example, the empirical coefficients are in an arithmetic series, an geometric series or a rule according with a certain equation); the acceleration demand torques corresponding to different accelerator pedal opening degrees may be calculated according to the acceleration demand torque corresponding to 100% of the accelerator pedal opening degree, or may be calculated according to the calculated acceleration demand torques corresponding to other accelerator pedal opening degrees (for example, if the acceleration demand torque corresponding to 75% of the accelerator pedal opening degree is calculated according to the acceleration demand torque corresponding to 100% of the accelerator pedal opening degree, the acceleration demand torque corresponding to 35% of the accelerator pedal opening degree may be calculated according to the acceleration demand torque corresponding to 100% of the accelerator pedal opening degree or the acceleration demand torque corresponding to 75% of the accelerator pedal opening degree).
In the embodiment, the calculation conforming to the external characteristic curve of the motor is carried out on the whole vehicle parameters such as the peak power of the motor, the peak torque of the motor, the maximum vehicle speed of the whole vehicle, the rolling radius of the whole vehicle, the transmission ratio of the whole vehicle and the like, so that the automatic generation of the torque array required by acceleration of a driver under the condition of 100% of the opening degree of an accelerator pedal is realized; by setting the empirical coefficient, the automatic generation of the acceleration demand torque array of the driver at each coordinate between 100% and 0% of the opening of the accelerator pedal is realized, so that the automatic calibration of the acceleration demand torque MAP is realized, the workload of the actual vehicle calibration test is greatly reduced, the time is saved, and the calibration efficiency is improved.
Further, referring to fig. 3, in another embodiment of the calibration method for acceleration request torque MAP according to the present invention, step S40 is preceded by:
step S31, acquiring the habit information of stepping on the accelerator by the user;
the habit information of stepping on the accelerator by the user is the information of the accelerator opening degree signal and the corresponding driver required torque of all vehicles or vehicles of the same type (such as miniature vehicles, cars, urban off-road vehicles, off-road vehicles and the like) or vehicles of the same vehicle type or vehicles driven by the same driver.
Step S32, dividing the range of the opening degree of the accelerator pedal according to the habit information, wherein the range of the opening degree of the accelerator pedal comprises a light-stepping accelerator pedal opening degree range, a common accelerator pedal opening degree range and/or a deep-stepping accelerator pedal opening degree range;
the range of the opening degree of the accelerator pedal is 0% -100%, and it is easy to understand that the range of the opening degree of the accelerator pedal includes, but is not limited to, a light-stepping accelerator pedal opening degree range, a common accelerator pedal opening degree range and/or a deep-stepping accelerator pedal opening degree range, and the range may be divided into two, three or more ranges, which is not limited in this embodiment.
The opening range of the light accelerator pedal, the opening range of the common accelerator pedal and/or the opening range of the deep accelerator pedal can comprise one or more opening coordinates and intervals of the accelerator pedal.
And step S33, generating habit coefficients corresponding to all ranges of the opening degree of the accelerator pedal according to the habit information, and adjusting preset experience coefficients according to the habit coefficients.
The method for adjusting the preset empirical coefficient according to the habit coefficient may be to multiply the habit coefficient by the habit coefficient, add the habit coefficient to a calculation rule of the empirical coefficient, or use the habit coefficient as one of conditions for generating the empirical coefficient, and the like.
Optionally, after the step of generating the acceleration demand torque arrays of different accelerator pedal opening degree coordinates according to the first acceleration demand torque array and a preset empirical coefficient, the method further includes:
and respectively taking the opening coordinate of the accelerator pedal and the speed coordinate as abscissa and the acceleration demand torque as ordinate to generate a line graph.
The accelerator pedal torque MAP of the driver is formed into a line graph form, and when the accelerator pedal habit coefficient of the driver is adjusted, the change of the accelerator pedal demand torque output value of the driver can be directly observed under different accelerator opening degrees and different vehicle speeds, so that whether the accelerator pedal habit coefficient is reasonable or not can be judged more visually.
In the embodiment, considering that the accelerator pedaling habits (such as light weight, time duration, frequency and the like) of the driver in different accelerator pedal opening ranges are possibly different, the acceleration demand torque may be different, the acceleration demand torque MAP adjusted according to the user vehicle using habit information can better adapt to the user vehicle using habits, and the user vehicle using comfort and the vehicle using fun are improved
Further, in an embodiment of the present invention, after the step of dividing the vehicle speed and the accelerator pedal opening respectively according to a preset rule to generate a vehicle speed coordinate and an accelerator pedal opening coordinate, the method further includes:
obtaining a first vehicle speed coordinate according to the motor peak power, the motor peak torque and the parameter conversion formula;
the parameter conversion formula takes the formula (1) as an example, and it can be known that the vehicle speed V can be calculated when the power P, the torque T, the rolling radius R of the entire vehicle and the transmission ratio μ of the entire vehicle are known, while for the known vehicle or the vehicle of the known vehicle type, the peak power of the motor, the peak torque of the motor, the rolling radius R of the entire vehicle and the transmission ratio μ of the entire vehicle are known parameters, and when the power is the peak power of the motor and the torque is the peak torque of the motor, the vehicle speed at that time can be calculated, and the vehicle speed calculated at that time is taken as a first vehicle speed coordinate.
And replacing a second vehicle speed coordinate with the smallest absolute value of the difference value between the first vehicle speed coordinate and the first vehicle speed coordinate in the vehicle speed coordinates by the first vehicle speed coordinate.
For example: if the vehicle speed coordinates are 10Km/h, 30Km/h, 50Km/h and 70Km/h, and the first vehicle speed coordinate is 59Km/h, the absolute values of the difference values of the vehicle speed coordinates and the first vehicle speed coordinate are 49Km/h, 29Km/h, 9Km/h and 11Km/h respectively, wherein the absolute value of the difference value of the 50Km/h and the first vehicle speed coordinate is the minimum, the first vehicle speed coordinate 59Km/h is substituted for the 50Km/h, and the formed new vehicle speed coordinates are 10Km/h, 30Km/h, 59Km/h and 70 Km/h.
In the embodiment in the market, the junction point of a constant torque area and a constant power area in the external characteristic curve of the motor is determined by calculating the speed when the actual power of the motor is the peak power of the motor and the current torque of the motor is the peak torque of the motor, and the speed corresponding to the important junction point is set in the speed coordinate, so that the method which can be conveniently and automatically executed and enables the acceleration demand torque array under the opening degree of the accelerator pedal of 100 percent to accord with the external characteristic curve of the motor through condition setting is provided, and whether the calibration result accords with the external characteristic curve of the motor or not is more conveniently observed.
Optionally, the step of generating a first acceleration demand torque array under the condition of 100% of accelerator pedal opening according to the vehicle speed coordinate, the vehicle parameters and the parameter conversion formula includes:
calculating actual acceleration demand torque values corresponding to speed coordinates under 100% of accelerator pedal opening according to the finished automobile parameters and the parameter conversion formula;
and forming a first acceleration demand torque array by using the actual acceleration demand torque values corresponding to the vehicle speed coordinates.
Optionally, the step of calculating the actual acceleration demand torque value corresponding to each vehicle speed coordinate under the 100% accelerator pedal opening according to the vehicle parameters and the parameter conversion formula includes:
when the vehicle speed coordinate is less than or equal to the first vehicle speed coordinate, setting the actual acceleration demand torque corresponding to each vehicle speed coordinate as the motor peak torque;
and setting the actual acceleration demand torque value as a constant motor peak torque by taking the first vehicle speed coordinate as a boundary and taking the first vehicle speed coordinate less than or equal to the first vehicle speed coordinate as a constant torque area, and calculating without a parameter conversion formula.
And when the speed coordinate is greater than the first speed coordinate, substituting the peak power of the motor into a parameter conversion formula, and generating an actual acceleration demand torque value corresponding to the speed coordinate according to the speed coordinate, the vehicle parameter and the parameter conversion formula.
Taking a first vehicle speed coordinate as a boundary and a region larger than the first vehicle speed coordinate as a constant power region, taking a parameter conversion formula (1) as an example, setting the power P as the peak power of the motor, wherein for a determined vehicle or a vehicle of a determined vehicle type, the whole vehicle transmission ratio mu and the whole vehicle rolling radius R are known parameters, and for each vehicle speed coordinate, the vehicle speed V is also a known parameter, so that the actual acceleration demand torque value corresponding to each vehicle speed coordinate can be calculated.
These two portions of actual acceleration demand torque values together constitute an acceleration demand torque array at 100% accelerator pedal opening.
In this embodiment, the method for automatically executing the calculated power P and torque T according with the external characteristic curve of the motor through the setting conditions is provided, which not only improves the calibration efficiency, but also improves the accuracy of the calibration result of the acceleration demand torque MAP.
Further, referring to fig. 4, in another embodiment of the calibration method of the acceleration demand torque MAP of the present invention, the step of generating the acceleration demand torque arrays of different accelerator pedal opening coordinates according to the first acceleration demand torque array and a preset empirical coefficient includes:
step S41, setting the first acceleration demand torque array as a maximum value array;
step S42, setting an acceleration demand torque array with the opening of an accelerator pedal of 0 percent as a minimum value array;
the acceleration demand torque array of 0% accelerator pedal opening is a fixed value set based on experience, for example: for a pure electric vehicle, the acceleration demand torque values of 0% of the opening of the accelerator pedal are all 0 N.m.
Preferably, the step of setting the acceleration demand torque array of 0% accelerator pedal opening as the minimum value array includes:
and setting an error mechanism of a coordinate point of 0% of the opening degree of the accelerator pedal, wherein the error mechanism is that when the received actual opening degree of the accelerator pedal is smaller than or equal to a preset minimum value, the value of the default opening degree of the accelerator pedal is 0%.
The error mechanism is a more humanized and more intelligent setting, mainly aiming at avoiding misjudgment of the intention of a driver caused by small-amplitude oscillation of an accelerator pedal on a bumpy road, and when the actual opening of the accelerator pedal is not 0% but is less than or equal to a preset minimum value caused by the small-amplitude oscillation of the accelerator pedal, the value of the opening of the accelerator pedal is defaulted to be 0% in the calculation of a torque value, such as: if an error mechanism exists, if a minimum value is set to be 3%, when an actual accelerator pedal opening degree smaller than or equal to 3% is received, the value of the accelerator pedal opening degree is defaulted to be 0% in the calculation of the torque value.
And step S43, according to the preset empirical coefficient and the descending order of the opening coordinates of the accelerator pedal, the maximum value array is reduced to the minimum value array in a mode that the variation amplitude is gradually reduced, and the acceleration demand torque arrays of different opening coordinates of the accelerator pedal are generated.
The acceleration demand torque array with the accelerator pedal opening of 100% is a maximum value array, the acceleration demand torque array with the accelerator pedal opening of 0% is a minimum value array, the change range of the acceleration demand torque array is gradually reduced by multiplying the maximum value array by an empirical coefficient to calculate a second large value array, and then multiplying the second large value array by an empirical coefficient to calculate a third large value array, and the third large value array is sequentially reduced, and each empirical coefficient is also in a descending trend.
For example: taking an acceleration demand torque array corresponding to a certain vehicle speed as an example, assuming that the accelerator pedal opening degree coordinate is 100%, 75%, 50%, 25%, 0%, and the corresponding acceleration demand torque is T5, T4, T3, T2, T1, where T5 is the largest and T1 is the smallest, T4 ═ a1 × T5, T3 ═ a2 × T4, T2 ═ A3 × T3, where a1, a2, A3 are decreasing empirical coefficient arrays (e.g., 4/5, 3/5, 2/5).
The decreasing rule (such as arithmetic progression, geometric progression, other mathematical rules, etc.) and the specific numerical value of the empirical coefficient are obtained by analyzing a large number of calibrated acceleration demand torques MAP in big data.
In the embodiment, after the empirical coefficient and the setting mode of the empirical coefficient are obtained according to big data analysis, the acceleration demand torque arrays of other accelerator pedal opening degrees can be calculated according to the acceleration demand torque array of 100% of the accelerator pedal opening degree, a large number of real vehicle calibration tests are not needed, the time is saved, and the calibration efficiency is improved; by setting the rule that the change amplitude is gradually decreased, the same change of the opening degree of the accelerator pedal can obtain larger acceleration demand torque along with the increase of the opening degree of the accelerator pedal, larger acceleration can be obtained, the feeling of pushing the back is more obvious, the acceleration and the advancing force generated by stepping on the accelerator can be obviously sensed under the condition of higher vehicle speed, and the user experience is improved; compared with the acceleration demand torque MAP calibrated by the real vehicle, the change of the acceleration demand torque is smoother, so that the driving process is more comfortable and natural.
In addition, an acceleration demand torque MAP calibration device is further provided in an embodiment of the present invention, where the acceleration demand torque MAP calibration device includes a memory, a processor, and an acceleration demand torque MAP calibration program stored in the memory and executable on the processor, and the processor implements the steps of the acceleration demand torque MAP calibration method when executing the acceleration demand torque MAP calibration program.
In addition, the embodiment of the present invention further provides a readable storage medium, where an acceleration demand torque MAP calibration application is stored, and the acceleration demand torque MAP calibration application, when executed by a processor, implements the steps of the acceleration demand torque MAP calibration method described above.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) as described above and includes instructions for enabling an apparatus (e.g., a mobile phone, a computer, a server, an air conditioner, or a network device) to perform the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. An acceleration demand torque MAP calibration method, characterized by comprising the steps of:
acquiring finished automobile parameters and a parameter conversion formula, wherein the finished automobile parameters comprise motor peak power, motor peak torque, finished automobile maximum speed, finished automobile rolling radius, finished automobile transmission ratio and a motor external characteristic curve;
respectively carrying out interval division on the vehicle speed and the opening of the accelerator pedal according to a preset rule to generate a vehicle speed coordinate and an accelerator pedal opening coordinate;
generating a first acceleration demand torque array under the condition of 100% of accelerator pedal opening according to the vehicle speed coordinate, the vehicle parameters and the parameter conversion formula;
and generating acceleration demand torque arrays of different accelerator pedal opening coordinates according to the first acceleration demand torque array and a preset empirical coefficient.
2. The method for calibrating the acceleration request torque MAP as claimed in claim 1, wherein the step of generating the acceleration request torque array for different accelerator pedal opening coordinates based on the first acceleration request torque array and preset empirical coefficients is preceded by the steps of:
acquiring habit information of stepping on an accelerator by a user;
dividing the range of the opening degree of the accelerator pedal according to the habit information, wherein the range of the opening degree of the accelerator pedal comprises a light-stepping accelerator pedal opening degree range, a common accelerator pedal opening degree range and/or a deep-stepping accelerator pedal opening degree range;
and generating habit coefficients corresponding to all ranges of the opening degree of the accelerator pedal according to the habit information, and adjusting preset experience coefficients according to the habit coefficients.
3. The method for calibrating the acceleration request torque MAP as claimed in claim 2, wherein the step of generating the acceleration request torque array of different accelerator pedal opening coordinates according to the first acceleration request torque array and preset empirical coefficients is followed by further comprising:
and respectively taking the opening coordinate of the accelerator pedal and the speed coordinate as abscissa and the acceleration demand torque as ordinate to generate a line graph.
4. The method for calibrating the accelerator demand torque MAP according to claim 1, wherein after the step of dividing the vehicle speed and the accelerator pedal opening respectively according to the preset rule to generate the vehicle speed coordinate and the accelerator pedal opening coordinate, the method further comprises:
obtaining a first vehicle speed coordinate according to the motor peak power, the motor peak torque and the parameter conversion formula;
and replacing a second vehicle speed coordinate with the smallest absolute value of the difference value between the first vehicle speed coordinate and the first vehicle speed coordinate in the vehicle speed coordinates by the first vehicle speed coordinate.
5. The method for calibrating the acceleration demand torque MAP as claimed in claim 4, wherein the step of generating the first acceleration demand torque array at 100% accelerator pedal opening according to the vehicle speed coordinate, the vehicle parameters and the parameter conversion formula comprises:
calculating actual acceleration demand torque values corresponding to speed coordinates under 100% of accelerator pedal opening according to the finished automobile parameters and the parameter conversion formula;
and forming a first acceleration demand torque array by using the actual acceleration demand torque values corresponding to the vehicle speed coordinates.
6. The method for calibrating the acceleration demand torque MAP according to claim 5, wherein the step of calculating the actual acceleration demand torque value corresponding to each vehicle speed coordinate at 100% accelerator pedal opening according to the vehicle parameters and the parameter conversion formula comprises:
when the vehicle speed coordinate is less than or equal to the first vehicle speed coordinate, setting the actual acceleration demand torque corresponding to each vehicle speed coordinate as the motor peak torque;
and when the speed coordinate is greater than the first speed coordinate, substituting the peak power of the motor into a parameter conversion formula, and generating an actual acceleration demand torque value corresponding to the speed coordinate according to the speed coordinate, the vehicle parameter and the parameter conversion formula.
7. The method for calibrating the acceleration request torque MAP as claimed in claim 1, wherein the step of generating the acceleration request torque arrays for different accelerator pedal opening coordinates according to the first acceleration request torque array and preset empirical coefficients comprises:
setting the first acceleration demand torque array as a maximum value array;
setting an acceleration demand torque array with the opening of an accelerator pedal being 0% as a minimum value array;
and according to a preset empirical coefficient and the descending order of the opening coordinates of the accelerator pedal, the maximum value array is decreased to the minimum value array in a mode that the variation amplitude is gradually reduced, and the acceleration demand torque arrays of different opening coordinates of the accelerator pedal are generated.
8. The acceleration demand torque MAP calibration method according to claim 7, wherein the step of setting the acceleration demand torque array of 0% accelerator pedal opening as the minimum value array includes:
and setting an error mechanism of a coordinate point of 0% of the opening degree of the accelerator pedal, wherein the error mechanism is that when the received actual opening degree of the accelerator pedal is smaller than or equal to a preset minimum value, the value of the default opening degree of the accelerator pedal is 0%.
9. An acceleration demand torque MAP calibration apparatus, characterized in that the acceleration demand torque MAP calibration apparatus comprises a memory, a processor and an acceleration demand torque MAP calibration program stored on the memory and operable on the processor, the processor implementing the steps of the acceleration demand torque MAP calibration method according to any one of claims 1-8 when executing the acceleration demand torque MAP calibration program.
10. A computer readable storage medium having stored thereon an acceleration demand torque, MAP, calibration application which, when executed by a processor, implements the steps of an acceleration demand torque, MAP, calibration method according to any of claims 1-8.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111132576.XA CN113848006B (en) | 2021-09-26 | 2021-09-26 | Acceleration demand torque MAP calibration method and device and readable storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111132576.XA CN113848006B (en) | 2021-09-26 | 2021-09-26 | Acceleration demand torque MAP calibration method and device and readable storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113848006A true CN113848006A (en) | 2021-12-28 |
| CN113848006B CN113848006B (en) | 2024-02-06 |
Family
ID=78980390
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111132576.XA Active CN113848006B (en) | 2021-09-26 | 2021-09-26 | Acceleration demand torque MAP calibration method and device and readable storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113848006B (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114545905A (en) * | 2022-02-25 | 2022-05-27 | 奇瑞新能源汽车股份有限公司 | Power speed ratio logic control simulation method, device and equipment for electric automobile |
| CN114905965A (en) * | 2022-04-06 | 2022-08-16 | 潍柴动力股份有限公司 | Vehicle accelerator MAP optimization method, controller, system and motor vehicle |
| CN115891675A (en) * | 2022-11-14 | 2023-04-04 | 一汽奔腾轿车有限公司 | Method for calibrating map of accelerator pedal of electric vehicle |
| WO2024016852A1 (en) * | 2022-07-19 | 2024-01-25 | 东风汽车集团股份有限公司 | Method and apparatus for calculating real-time torque of engine, and device and readable storage medium |
| CN117723189A (en) * | 2023-11-14 | 2024-03-19 | 苏州市丰科精密机械有限公司 | Torque testing system and method |
Citations (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH09142175A (en) * | 1995-11-17 | 1997-06-03 | Aqueous Res:Kk | Control device for automatic transmission |
| US20040040374A1 (en) * | 1999-04-30 | 2004-03-04 | Hideki Nakanishi | Engine testing apparatus and map preparing method for an engine testing apparatus/vehicle testing apparatus |
| JP2013134151A (en) * | 2011-12-26 | 2013-07-08 | Horiba Ltd | Automatic vehicle driver, engine dynamo controller and operation program to be used for each apparatus |
| CN106404258A (en) * | 2016-08-30 | 2017-02-15 | 潍柴动力股份有限公司 | Engine torque automatic measurement method, device and system |
| DE102015216756A1 (en) * | 2015-09-02 | 2017-03-02 | Borgward Trademark Holdings Gmbh | Method and apparatus for determining a required torque of a motor vehicle |
| CN107657076A (en) * | 2017-08-24 | 2018-02-02 | 厦门金龙旅行车有限公司 | A kind of plug-in hybrid system dynamic matching process |
| CN108454462A (en) * | 2018-04-09 | 2018-08-28 | 国机智骏（北京）汽车科技有限公司 | Control method, device and the vehicle with it of vehicle |
| CN108549779A (en) * | 2018-04-20 | 2018-09-18 | 广汽丰田汽车有限公司 | Performance simulation computational methods, terminal device and the storage medium of hybrid vehicle |
| CN109606130A (en) * | 2018-11-20 | 2019-04-12 | 智车优行科技（上海）有限公司 | Electric car crawling control method and system |
| CN110220640A (en) * | 2019-06-02 | 2019-09-10 | 吉林大学 | A kind of accelerator pedal torque request scaling method |
| CN110285902A (en) * | 2019-07-30 | 2019-09-27 | 安徽江淮汽车集团股份有限公司 | Rear axle Efficiency test method, user equipment, storage medium and device |
| CN110356246A (en) * | 2019-06-14 | 2019-10-22 | 上海伊控动力系统有限公司 | A kind of Motor torque method of adjustment of the pure electric vehicle logistic car based on driving habit |
| CN112378559A (en) * | 2020-11-09 | 2021-02-19 | 延边国泰新能源汽车有限公司 | Method for analyzing torque of pedal opening by VCU of automobile |
| CN112829756A (en) * | 2019-11-22 | 2021-05-25 | 比亚迪股份有限公司 | Vehicle and energy recovery method and device thereof and storage medium |
| CN113060013A (en) * | 2021-04-14 | 2021-07-02 | 中通客车股份有限公司 | Electric automobile driving motor torque control system and control method and electric automobile |
| CN113237671A (en) * | 2021-05-19 | 2021-08-10 | 东风柳州汽车有限公司 | Electric vehicle accelerator calibration method and device |
-
2021
- 2021-09-26 CN CN202111132576.XA patent/CN113848006B/en active Active
Patent Citations (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH09142175A (en) * | 1995-11-17 | 1997-06-03 | Aqueous Res:Kk | Control device for automatic transmission |
| US20040040374A1 (en) * | 1999-04-30 | 2004-03-04 | Hideki Nakanishi | Engine testing apparatus and map preparing method for an engine testing apparatus/vehicle testing apparatus |
| JP2013134151A (en) * | 2011-12-26 | 2013-07-08 | Horiba Ltd | Automatic vehicle driver, engine dynamo controller and operation program to be used for each apparatus |
| DE102015216756A1 (en) * | 2015-09-02 | 2017-03-02 | Borgward Trademark Holdings Gmbh | Method and apparatus for determining a required torque of a motor vehicle |
| CN106404258A (en) * | 2016-08-30 | 2017-02-15 | 潍柴动力股份有限公司 | Engine torque automatic measurement method, device and system |
| CN107657076A (en) * | 2017-08-24 | 2018-02-02 | 厦门金龙旅行车有限公司 | A kind of plug-in hybrid system dynamic matching process |
| CN108454462A (en) * | 2018-04-09 | 2018-08-28 | 国机智骏（北京）汽车科技有限公司 | Control method, device and the vehicle with it of vehicle |
| CN108549779A (en) * | 2018-04-20 | 2018-09-18 | 广汽丰田汽车有限公司 | Performance simulation computational methods, terminal device and the storage medium of hybrid vehicle |
| CN109606130A (en) * | 2018-11-20 | 2019-04-12 | 智车优行科技（上海）有限公司 | Electric car crawling control method and system |
| CN110220640A (en) * | 2019-06-02 | 2019-09-10 | 吉林大学 | A kind of accelerator pedal torque request scaling method |
| CN110356246A (en) * | 2019-06-14 | 2019-10-22 | 上海伊控动力系统有限公司 | A kind of Motor torque method of adjustment of the pure electric vehicle logistic car based on driving habit |
| CN110285902A (en) * | 2019-07-30 | 2019-09-27 | 安徽江淮汽车集团股份有限公司 | Rear axle Efficiency test method, user equipment, storage medium and device |
| CN112829756A (en) * | 2019-11-22 | 2021-05-25 | 比亚迪股份有限公司 | Vehicle and energy recovery method and device thereof and storage medium |
| CN112378559A (en) * | 2020-11-09 | 2021-02-19 | 延边国泰新能源汽车有限公司 | Method for analyzing torque of pedal opening by VCU of automobile |
| CN113060013A (en) * | 2021-04-14 | 2021-07-02 | 中通客车股份有限公司 | Electric automobile driving motor torque control system and control method and electric automobile |
| CN113237671A (en) * | 2021-05-19 | 2021-08-10 | 东风柳州汽车有限公司 | Electric vehicle accelerator calibration method and device |
Non-Patent Citations (1)
| Title |
|---|
| 邹小松;何贝贝;王文成;: "用NEDC循环参数设计BSG电机功率和系统控制策略", 装备制造技术, no. 01 * |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114545905A (en) * | 2022-02-25 | 2022-05-27 | 奇瑞新能源汽车股份有限公司 | Power speed ratio logic control simulation method, device and equipment for electric automobile |
| CN114905965A (en) * | 2022-04-06 | 2022-08-16 | 潍柴动力股份有限公司 | Vehicle accelerator MAP optimization method, controller, system and motor vehicle |
| WO2024016852A1 (en) * | 2022-07-19 | 2024-01-25 | 东风汽车集团股份有限公司 | Method and apparatus for calculating real-time torque of engine, and device and readable storage medium |
| CN115891675A (en) * | 2022-11-14 | 2023-04-04 | 一汽奔腾轿车有限公司 | Method for calibrating map of accelerator pedal of electric vehicle |
| CN117723189A (en) * | 2023-11-14 | 2024-03-19 | 苏州市丰科精密机械有限公司 | Torque testing system and method |
| CN117723189B (en) * | 2023-11-14 | 2024-07-26 | 苏州市丰科精密机械有限公司 | Torque testing system and method |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113848006B (en) | 2024-02-06 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN113848006B (en) | Acceleration demand torque MAP calibration method and device and readable storage medium | |
| CN107738649B (en) | Method and device for determining driving demand torque | |
| US9080669B2 (en) | System and method of selecting optimum gear of automobile | |
| US9747730B2 (en) | Driver measurement and incentive system for improving fuel-efficiency | |
| CN111806240B (en) | China working condition-based electric automobile driving range prediction method | |
| CN107089185B (en) | A kind of analogy method of engine speed, device and electric car alarm control method | |
| US20150073933A1 (en) | Vehicle powertrain selector | |
| CN109720213A (en) | A kind of vehicle torque control method and device | |
| KR101454115B1 (en) | Apparatus for estimation of fuel efficiency using driving syles and method thereof | |
| CN108680229A (en) | A kind of vehicle fuel early warning based reminding method and system | |
| CN112109715B (en) | Method, device, medium and system for generating vehicle power output strategy | |
| CN113492860A (en) | Driving performance adjusting method and device | |
| JP2010143567A (en) | Method and device for outputting travel information | |
| CN114152447A (en) | Vehicle driving performance evaluation method, device, equipment and storage medium | |
| CN116442799A (en) | Control method and device for torque distribution of vehicle | |
| CN118289001A (en) | Pre-control method, system, device and medium for accelerator pedal under plain working condition | |
| CN113859252A (en) | Vehicle weight determining method and device | |
| Alzorgan | Look-ahead information based optimization strategy for hybrid electric vehicles | |
| US20210178897A1 (en) | Display system for a vehicle | |
| CN116501025A (en) | Calibration method and device of control parameters, electronic equipment and readable storage medium | |
| CN113607428B (en) | User experience evaluation method for vehicle dynamic acceleration performance | |
| CN100442019C (en) | Digital graphics automobile instrument | |
| CN114407855A (en) | Electric brake adjusting method, electric vehicle and computer readable storage medium | |
| CN114620122B (en) | Method and equipment for adjusting driving hand force | |
| CN115891763B (en) | Method for improving endurance mileage, endurance device, endurance equipment and storage medium |
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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |