CN109931174B - Self-adaptive learning method and device for zero position of accelerator pedal and automobile - Google Patents
Self-adaptive learning method and device for zero position of accelerator pedal and automobile Download PDFInfo
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Abstract
The invention relates to a self-adaptive learning method and device for the zero position of an accelerator pedal and an automobile, wherein the method comprises the following steps: acquiring a current voltage value corresponding to a current pedal opening value of an accelerator pedal in real time, and subtracting the current voltage value from a currently stored minimum voltage value to obtain a voltage difference value, wherein the currently stored minimum voltage value is a voltage storage value corresponding to the current pedal opening minimum value; calculating a voltage value adjusting step length in a preset fuzzy rule according to the calculated voltage difference value; and adjusting the step length of the currently stored minimum voltage value according to the voltage value, and updating the minimum voltage value to the current voltage value in real time. The self-adaptive learning method for the zero position of the accelerator pedal provided by the invention can adjust the minimum value of the opening of the accelerator pedal in a proper step length according to the actual condition, thereby ensuring the safety and improving the user experience.
Description
Technical Field
The invention relates to the technical field of vehicle safety, in particular to a self-adaptive learning method and device for the zero position of an accelerator pedal and an automobile.
Background
Along with the continuous development of economy and the continuous progress of society, the living standard of people is also obviously improved. In particular, in recent years, people's travel modes have become more convenient and faster, and automobiles play an important role in transportation as the most common transportation means.
Electronic throttle control systems are a critical component of automobiles. The electronic throttle control system mainly comprises an electronic throttle body, an accelerator pedal and an electronic controller. Specifically, the ECU calculates a desired throttle opening degree based on signals from an accelerator pedal position sensor and other sensors, outputs a control signal, and controls a throttle valve driving device to adjust a throttle valve to a target opening degree. Meanwhile, signals of the throttle position sensor are fed back to the electronic control unit to realize closed-loop control of the control system, so that the electronic throttle is quickly and accurately controlled. The accelerator pedal is also called as an accelerator pedal, the engine outputs power according to the opening degree of the accelerator pedal, and the larger the opening degree of the accelerator pedal is, the larger the power output of the engine is.
When the accelerator pedal receives the interference of the external environment (such as the influence of external factors such as bumpy road conditions and temperature), the accelerator pedal cannot be restored to the mechanical minimum position of the accelerator pedal, and at the moment, the power output of the engine has a certain deviation from the acceleration actually required by the driver, so that updating and adjustment are needed. However, the conventional self-learning updating adjustment method cannot adjust the opening degree of the accelerator pedal in a proper adjustment step length according to the actual deviation, and the actual experience of a user is influenced.
Disclosure of Invention
Based on this, the invention aims to solve the problem that in the prior art, the actual experience of a user is influenced because the opening of the accelerator pedal cannot be adjusted by an appropriate adjustment step length according to the actual deviation.
The invention provides an adaptive learning method for zero position of an accelerator pedal, which comprises the following steps:
acquiring a current voltage value corresponding to a current pedal opening value of the accelerator pedal in real time, and subtracting the current voltage value from a currently stored minimum voltage value to obtain a voltage difference value, wherein the currently stored minimum voltage value is a voltage storage value corresponding to the current pedal opening minimum value;
calculating a voltage value adjusting step length in a preset fuzzy rule according to the calculated voltage difference value;
and adjusting the step length of the currently stored minimum voltage value according to the voltage value, and updating the currently stored minimum voltage value to the current voltage value in real time.
The self-adaptive learning method for the zero position of the accelerator pedal provided by the invention can acquire the current voltage value corresponding to the current pedal opening of the accelerator pedal in real time, and because the current voltage value corresponding to the current pedal opening is influenced by external factors, the current accelerator pedal opening value and the minimum value of the standard pedal opening possibly have certain deviation, so that the corresponding voltage value also has certain deviation, so that after the current voltage value corresponding to the current pedal opening is acquired in real time, a voltage difference value is acquired by subtracting the prestored minimum voltage value, and then according to the calculated voltage difference value and a preset fuzzy rule, a voltage value adjusting step length corresponding to the voltage difference value is calculated, in the invention, because the step length is adjusted according to the calculated voltage value, the currently stored minimum voltage value is updated to the current actual voltage value in real time, namely if the voltage difference value is larger, the corresponding adjusting step length is relatively longer, if the voltage difference value is larger, the corresponding adjusting step length is relatively shorter, and the adjusting mode is more in line with the daily adjusting habit of people, so that the use experience of a user is improved while the safety of the automobile is ensured.
The self-adaptive learning method for the zero point position of the accelerator pedal comprises the following steps of obtaining a voltage difference value by subtracting the current voltage value from the currently stored minimum voltage value:
judging whether the absolute value of the voltage difference value reaches a preset voltage difference value or not;
and if so, calculating the voltage value adjusting step length in the preset fuzzy rule according to the calculated voltage difference value.
The self-adaptive learning method for the zero point position of the accelerator pedal comprises the following steps of:
searching in the preset fuzzy rule to obtain a corresponding proportional value and a corresponding unit step value according to the absolute value of the voltage difference value;
and calculating the voltage value adjusting step length according to the proportion value and the unit step length value.
The self-adaptive learning method for the zero point position of the accelerator pedal comprises the following steps that the preset fuzzy rule base comprises a first fuzzy rule base, a second fuzzy rule base and a third fuzzy ruleA first fuzzy rule base corresponding to a first ratio value K1The second fuzzy rule base corresponds to a second proportion value K2The third fuzzy rule base corresponds to a third proportion value K3Wherein the first proportional value K1The second proportional value K2And the third proportional value K3The sum is 1.
The self-adaptive learning method for the zero point position of the accelerator pedal comprises the following steps:
when the absolute value of the voltage difference is judged to be larger than a first voltage threshold value, the first proportional value K1Greater than the second proportional value K2And the third proportional value K3；
When the absolute value of the voltage difference is judged to be smaller than the first voltage threshold and larger than the second voltage threshold, the second proportional value K2Greater than the first proportional value K1And the third proportional value K3；
When the absolute value of the voltage difference is judged to be smaller than the second voltage threshold, the third proportional value K is determined3Greater than the second proportional value K2And the first proportional value K1Wherein the first voltage threshold is greater than the second voltage threshold.
The self-adaptive learning method for the zero point position of the accelerator pedal is characterized in that the first fuzzy rule base corresponds to a first step length SLThe second fuzzy rule base corresponds to a second step length SMThe third fuzzy rule base corresponds to a third step length Ss, and a calculation formula of the voltage value adjusting step length S is as follows:
S＝K1*SL+K2*SM+K3*SS
the invention also provides an adaptive learning device for the zero point position of the accelerator pedal, wherein the device comprises:
the data acquisition module is used for acquiring a current voltage value corresponding to the current pedal opening value of the accelerator pedal in real time, and subtracting the current voltage value from a currently stored minimum voltage value to obtain a voltage difference value, wherein the currently stored minimum voltage value is a voltage storage value corresponding to the current pedal opening minimum value;
the data processing module is used for calculating a voltage value adjusting step length in a preset fuzzy rule according to the calculated voltage difference value;
and the voltage updating module is used for updating the currently stored minimum voltage value into the current voltage value in real time according to the voltage value adjusting step length.
The self-adaptive learning device for the zero point position of the accelerator pedal comprises a judgment and analysis module, wherein the judgment and analysis module is used for:
and judging whether the absolute value of the voltage difference value reaches a preset voltage difference value.
The accelerator pedal zero point position self-adaptive learning device is characterized in that the data processing module is further specifically configured to:
searching in the preset fuzzy rule to obtain a corresponding proportional value and a corresponding unit step value according to the absolute value of the voltage difference value;
and calculating the voltage value adjusting step length according to the proportion value and the unit step length value.
The invention also provides an automobile, wherein the automobile applies the self-adaptive learning method for the zero position of the accelerator pedal to update and adjust the minimum value of the opening degree of the accelerator pedal of the automobile in real time.
Additional features and advantages of the disclosure will be set forth in the description which follows, or in part may be learned by the practice of the above-described techniques of the disclosure, or may be learned by practice of the disclosure.
In order to make the aforementioned and other objects, features and advantages of the present invention comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a flowchart of an adaptive learning method for zero point position of an accelerator pedal according to a first embodiment of the present invention;
FIG. 2 is a flowchart of an adaptive learning method for zero point position of accelerator pedal according to a second embodiment of the present invention;
FIG. 3 is a schematic structural diagram of an adaptive learning apparatus for zero point position of an accelerator pedal according to a third embodiment of the present invention;
fig. 4 is a schematic structural diagram of an adaptive learning apparatus for zero point position of an accelerator pedal according to a fourth embodiment of the present invention.
Detailed Description
To facilitate an understanding of the invention, the invention will now be described more fully with reference to the accompanying drawings. Preferred embodiments of the present invention are shown in the drawings. This invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.
When the accelerator pedal receives the interference of the external environment (such as the influence of external factors such as bumpy road conditions and temperature), the accelerator pedal cannot be restored to the mechanical minimum position of the accelerator pedal, and at the moment, the power output of the engine has a certain deviation from the acceleration actually required by the driver, so that updating and adjustment are needed. However, the conventional self-learning updating adjustment method cannot adjust the opening degree of the accelerator pedal in a proper adjustment step length according to the actual deviation, and the actual experience of a user is influenced.
In order to solve the technical problem, the present invention provides an adaptive learning method for zero point position of an accelerator pedal, referring to fig. 1, for the adaptive learning method for zero point position of an accelerator pedal according to the first embodiment of the present invention, including the following steps:
s101, obtaining a current voltage value corresponding to the current pedal opening degree value of the accelerator pedal in real time, and subtracting the current voltage value from a currently stored minimum voltage value to obtain a voltage difference value, wherein the currently stored minimum voltage value is a voltage storage value corresponding to the current pedal opening degree minimum value.
The greater the opening degree of the accelerator pedal, the greater the power output of the vehicle, and the greater the acceleration of the vehicle; the smaller the opening degree of the accelerator pedal, the smaller the power output of the vehicle, and the smaller the acceleration of the vehicle. When the accelerator pedal receives the interference of the external environment (such as the influence of external factors such as bumpy road conditions and temperature), the accelerator pedal cannot be restored to the mechanical minimum position of the accelerator pedal, and at the moment, the power output of the engine has certain deviation with the acceleration actually required by a driver, and updating and adjusting are needed.
The pedal opening degree of the accelerator pedal is detected by a position sensor and expressed as a voltage value. In this step, when the driver does not step on the accelerator pedal, a minimum voltage value is first pre-stored. However, as described above, due to the influence of many external factors, the pre-stored minimum voltage value does not necessarily reflect the voltage value corresponding to the actual current pedal opening.
The current voltage value corresponding to the current pedal opening value of the accelerator pedal is obtained through detection
Then, the current voltage value is compared with the pre-stored minimum voltage value VminMaking a difference to obtain a voltage difference value, i.e.
And S102, calculating a voltage value adjusting step length in a preset fuzzy rule according to the calculated voltage difference value.
As described above, after the voltage difference Δ V is calculated, different proportional values are correspondingly assigned in the fuzzy rule according to the difference between the voltage differences Δ V. In this embodiment, the preset fuzzy rule base comprises a first fuzzy rule base Δ VLA second fuzzy rule base DeltaVMAnd a third fuzzy rule base Δ VS。
Wherein the first fuzzy rule base Δ VLCorresponding to a first ratio value K1Second fuzzy rule base Δ VMCorresponding to a second proportional value K2The third fuzzy rule base Δ VSCorresponding to a third proportional value K3. Furthermore, the first fuzzy rule base Δ VLCorresponding to a first step SLSecond fuzzy rule base Δ VMCorresponding to a second step SMThe third fuzzy rule base Δ VSCorresponding to the third step length Ss.
After the above-mentioned first proportional value K is determined1The second proportional value K2With a third proportional value K3And a first step size SLSecond step length SM andafter the third step Ss, calculating a voltage value adjusting step according to the following formula:
S＝K1*SL+K2*SM+K3*SS
and S103, updating the currently stored minimum voltage value to the current voltage value in real time according to the voltage value adjustment step length.
After the voltage value adjusting step S is obtained through calculation, the stored minimum voltage value V is adjusted according to the voltage value adjusting step SminUpdating the current voltage value corresponding to the current pedal opening value
The self-adaptive learning method for the zero position of the accelerator pedal provided by the invention can acquire the current voltage value corresponding to the current pedal opening of the accelerator pedal in real time, and because the current voltage value corresponding to the current pedal opening is influenced by external factors, the current accelerator pedal opening value and the minimum value of the standard pedal opening possibly have certain deviation, so that the corresponding voltage value also has certain deviation, so that after the current voltage value corresponding to the current pedal opening is acquired in real time, a voltage difference value is acquired by subtracting the prestored minimum voltage value, and then according to the calculated voltage difference value and a preset fuzzy rule, a voltage value adjusting step length corresponding to the voltage difference value is calculated, in the invention, because the step length is adjusted according to the calculated voltage value, the currently stored minimum voltage value is updated to the current actual voltage value in real time, namely if the voltage difference value is larger, the corresponding adjusting step length is relatively longer, if the voltage difference value is larger, the corresponding adjusting step length is relatively shorter, and the adjusting mode is more in line with the daily adjusting habit of people, so that the use experience of a user is improved while the safety of the automobile is ensured.
The embodiments of the present invention will be described in more detail below with reference to a specific example. Referring to fig. 2, an adaptive learning method for zero point position of accelerator pedal according to a second embodiment of the present invention is described as follows:
s201, acquiring a current voltage value corresponding to a current pedal opening value of an accelerator pedal in real time.
The pedal opening degree of the accelerator pedal is detected by a position sensor and expressed as a voltage value. In this step, when the driver does not step on the accelerator pedal, a minimum voltage value V is first pre-storedmin. However, due to the influence of many external factors, the pre-stored minimum voltage value VminDoes not necessarily reflect the actual voltage value corresponding to the current pedal opening
Real-time monitoring and adjustment is required. For example, a pre-stored minimum voltage value VminIs 10V, and the voltage value corresponding to the current pedal opening
Is 8V.
S202, the current voltage value is differentiated from the currently stored minimum voltage value to obtain a voltage difference value.
The current voltage value corresponding to the current pedal opening value of the accelerator pedal is obtained through detection
Then, the current voltage value is compared with the pre-stored minimum voltage value VminMaking a difference to obtain a voltage difference value, i.e.
In this step, the voltage difference Δ V is 2V.
S203, judging whether the voltage difference value is larger than a preset voltage difference value.
After the voltage difference Δ V is obtained through calculation, it is necessary to determine whether the current voltage difference reaches a standard that needs to be corrected and updated. In this step, the calculated voltage difference is compared with a preset voltage difference, for example, the preset voltage difference in this embodiment is 1.5V, and the calculated voltage difference is 2V. It can be concluded that the current voltage difference Δ V is 2V, which is greater than the preset voltage difference 1.5V, and therefore the condition for updating the voltage correction is satisfied.
S204, determining a corresponding proportion value and a unit step value in a preset fuzzy rule.
In this embodiment, the preset fuzzy rule base comprises a first fuzzy rule base Δ VLA second fuzzy rule base DeltaVMAnd a third fuzzy rule base Δ VS。
Wherein the first fuzzy rule base Δ VLCorresponding to a first ratio value K1Second fuzzy rule base Δ VMCorresponding to a second proportional value K2The third fuzzy rule base Δ VSCorresponding to a third proportional value K3. And the first proportional value K1The second proportional value K2And a third proportional valueK3The sum is 1. Namely:
K1+K2+K3＝1
in addition, the above-mentioned unit step size value is plural, and in the embodiment, specifically, the first fuzzy rule base Δ VLCorresponding to a first step SLSecond fuzzy rule base Δ VMCorresponding to a second step SMThe third fuzzy rule base Δ VSCorresponding to the third step length Ss.
It should be added that (1) if the absolute value of the voltage difference Δ V is greater than the first voltage threshold, the corresponding first proportional value K is1Greater than a second proportional value K2And a third proportional value K3(ii) a (2) If the absolute value of the voltage difference Δ V is smaller than the first voltage threshold and larger than the second voltage threshold, the corresponding second proportional value K2Greater than a first proportional value K1And a third proportional value K3(ii) a (3) If the absolute value of the voltage difference Δ V is smaller than the second voltage threshold, the corresponding third proportional value K3Greater than a second proportional value K2And a first proportional value K1Wherein the first voltage threshold is greater than the second voltage threshold.
As mentioned above, the voltage difference Δ V is 2V, in this step, the first voltage threshold is 1.5V, the second voltage threshold is 1.0V, and the voltage difference Δ V is greater than the first voltage threshold by 1.5V, so the voltage difference Δ V should be divided into the first fuzzy rule base Δ VLAnd (4) the following steps. Similarly, if the voltage difference Δ V is smaller than the first voltage threshold and larger than the second voltage threshold, the voltage difference Δ V should be divided into the second fuzzy rule base Δ VMInternal; if the voltage difference Δ V is smaller than the first voltage threshold and smaller than the second voltage threshold, the voltage difference Δ V should be divided into a third fuzzy rule base Δ VSAnd (4) the following steps.
In the present embodiment, the first proportional value K1Is 0.5, the second proportional value K2Is 0.3, the third proportional value K3Is 0.2.
And S205, calculating to obtain a voltage value adjusting step according to the proportion value and the unit step value.
In this step, the calculation formula of the voltage value adjustment step length S is as follows:
S＝K1*SL+K2*SM+K3*SS
as described above, the first proportional value K1Is 0.5, the second proportional value K2Is 0.3, the third proportional value K3Is 0.2. And a first step size SLSecond step length SM andthe value of the third step Ss is known, and therefore the voltage value adjustment step S can be calculated.
And S206, adjusting the step length according to the voltage value, and updating the currently stored minimum voltage value into the monitored current voltage value in real time.
After the voltage value adjusting step S is calculated, for example, 0.5, according to the voltage value adjusting step S, the pre-stored minimum voltage value V is obtainedminUpdating the current voltage value corresponding to the current pedal opening value
The self-adaptive learning method for the zero position of the accelerator pedal provided by the invention can acquire the current voltage value corresponding to the current pedal opening of the accelerator pedal in real time, and because the current voltage value corresponding to the current pedal opening is influenced by external factors, the current accelerator pedal opening value and the minimum value of the standard pedal opening possibly have certain deviation, so that the corresponding voltage value also has certain deviation, so that after the current voltage value corresponding to the current pedal opening is acquired in real time, a voltage difference value is acquired by subtracting the prestored minimum voltage value, and then according to the calculated voltage difference value and a preset fuzzy rule, a voltage value adjusting step length corresponding to the voltage difference value is calculated, in the invention, because the step length is adjusted according to the calculated voltage value, the currently stored minimum voltage value is updated to the current actual voltage value in real time, namely if the voltage difference value is larger, the corresponding adjusting step length is relatively longer, if the voltage difference value is larger, the corresponding adjusting step length is relatively shorter, and the adjusting mode is more in line with the daily adjusting habit of people, so that the use experience of a user is improved while the safety of the automobile is ensured.
Referring to fig. 3, the adaptive learning apparatus for zero point position of accelerator pedal according to the third embodiment of the present invention includes a data acquiring module 11, a data processing module 12 and a voltage updating module 13, which are connected in sequence;
the data obtaining module 11 is specifically configured to:
acquiring a current voltage value corresponding to a current pedal opening value of the accelerator pedal in real time, and subtracting the current voltage value from a currently stored minimum voltage value to obtain a voltage difference value, wherein the currently stored minimum voltage value is a voltage storage value corresponding to the current pedal opening minimum value;
the data processing module 12 is specifically configured to:
calculating a voltage value adjusting step length in a preset fuzzy rule according to the calculated voltage difference value;
the voltage update module 13 is specifically configured to:
and adjusting the step length of the currently stored minimum voltage value according to the voltage value, and updating the currently stored minimum voltage value to the current voltage value in real time.
Referring to fig. 4, an adaptive learning apparatus for zero point position of an accelerator pedal according to a third embodiment of the present invention includes a data acquiring module 11, a determining and analyzing module 10, a data processing module 12, and a voltage updating module 13, which are connected in sequence;
the data obtaining module 11 is specifically configured to:
acquiring a current voltage value corresponding to a current pedal opening value of the accelerator pedal in real time, and subtracting the current voltage value from a currently stored minimum voltage value to obtain a voltage difference value, wherein the currently stored minimum voltage value is a voltage storage value corresponding to the current pedal opening minimum value;
the judgment analysis module 10 is configured to:
judging whether the absolute value of the voltage difference value reaches a preset voltage difference value or not;
the data processing module 12 is specifically configured to:
calculating a voltage value adjusting step length in a preset fuzzy rule according to the calculated voltage difference value;
the voltage update module 13 is specifically configured to:
and adjusting the step length of the currently stored minimum voltage value according to the voltage value, and updating the currently stored minimum voltage value to the current voltage value in real time.
The data processing module 12 is further specifically configured to:
searching in the preset fuzzy rule to obtain a corresponding proportional value and a corresponding unit step value according to the absolute value of the voltage difference value;
and calculating the voltage value adjusting step length according to the proportion value and the unit step length value.
The invention also provides an automobile, wherein the automobile applies the self-adaptive learning method for the zero position of the accelerator pedal to update and adjust the minimum value of the opening degree of the accelerator pedal of the automobile in real time.
Those of skill in the art will understand that the logic and/or steps represented in the flowcharts or otherwise described herein, e.g., an ordered listing of executable instructions that can be viewed as implementing logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device.
More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
Those skilled in the art will appreciate that all or part of the steps in the method for implementing the above embodiments may be implemented by a program instructing the relevant hardware. The program may be stored in a computer-readable storage medium. Which when executed comprises the steps of the method described above. The storage medium includes: ROM/RAM, magnetic disk, optical disk, etc.
Finally, it should be noted that: the above-mentioned embodiments are only specific embodiments of the present invention, which are used for illustrating the technical solutions of the present invention and not for limiting the same, and the protection scope of the present invention is not limited thereto, although the present invention is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: any person skilled in the art can modify or easily conceive the technical solutions described in the foregoing embodiments or equivalent substitutes for some technical features within the technical scope of the present disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the embodiments of the present invention, and they should be construed as being included therein. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.
Claims (9)
1. An adaptive learning method for zero point position of an accelerator pedal, the method comprising the steps of:
acquiring a current voltage value corresponding to a current pedal opening value of the accelerator pedal in real time, and subtracting the current voltage value from a currently stored minimum voltage value to obtain a voltage difference value, wherein the currently stored minimum voltage value is a voltage storage value corresponding to the current pedal opening minimum value;
calculating a voltage value adjusting step length in a preset fuzzy rule base according to the calculated voltage difference value;
adjusting the step length of the currently stored minimum voltage value according to the voltage value, and updating the minimum voltage value to the current voltage value in real time;
the preset fuzzy rule base comprises a first fuzzy rule base, a second fuzzy rule base and a third fuzzy rule base, and the first fuzzy rule base corresponds to a first proportion value K1The second fuzzy rule base corresponds to a second proportion value K2The third fuzzy rule base corresponds to a third proportion value K3Characterized in that said first proportional value K1The second proportional value K2And the third proportional value K3The sum is 1.
2. The adaptive learning method for zero point position of accelerator pedal according to claim 1, wherein after the step of subtracting the current voltage value from the currently stored minimum voltage value to obtain a voltage difference value, the method further comprises:
judging whether the absolute value of the voltage difference value reaches a preset voltage difference value or not;
and if so, calculating the voltage value adjusting step length in the preset fuzzy rule base according to the calculated voltage difference value.
3. The adaptive learning method for zero point position of accelerator pedal according to claim 1, wherein the method for calculating the voltage value adjustment step length in a preset fuzzy rule base according to the calculated voltage difference value comprises the following steps:
searching in the preset fuzzy rule base according to the absolute value of the voltage difference value to obtain a corresponding proportional value and a corresponding unit step value;
and calculating the voltage value adjusting step length according to the proportion value and the unit step length value.
4. The adaptive learning method of accelerator pedal zero position according to claim 1, characterized by further comprising:
when the absolute value of the voltage difference is judged to be larger than a first voltage threshold value, the first proportional value K1Greater than the second proportional value K2And the third proportional value K3；
When the absolute value of the voltage difference is judged to be smaller than the first voltage threshold and larger than a second voltage threshold, the second proportional value K2Greater than the first proportional value K1And the third proportional value K3；
When the absolute value of the voltage difference is judged to be smaller than the second voltage threshold, the third proportional value K is determined3Greater than the second proportional value K2And the first proportional value K1Wherein the first voltage threshold is greater than the second voltage threshold.
5. The adaptive learning method for zero point position of accelerator pedal according to claim 4, wherein the first fuzzy rule base corresponds to a first step SLThe second fuzzy rule base corresponds to a second step length SMThe third fuzzy rule base corresponds to a third step length Ss, and a calculation formula of the voltage value adjusting step length S is as follows:
S＝K1*SL+K2*SM+K3*SS。
6. an accelerator pedal zero point position adaptive learning apparatus, characterized by comprising:
the data acquisition module is used for acquiring a current voltage value corresponding to the current pedal opening value of the accelerator pedal in real time, and subtracting the current voltage value from a currently stored minimum voltage value to obtain a voltage difference value, wherein the currently stored minimum voltage value is a voltage storage value corresponding to the current pedal opening minimum value;
the data processing module is used for calculating a voltage value adjusting step length in a preset fuzzy rule base according to the calculated voltage difference value;
the voltage updating module is used for adjusting the step length of the currently stored minimum voltage value according to the voltage value and updating the minimum voltage value to the current voltage value in real time;
the preset fuzzy rule base comprises a first fuzzy rule base, a second fuzzy rule base and a third fuzzy rule base, and the first fuzzy rule base corresponds to a first proportion value K1The second fuzzy rule base corresponds to a second proportion value K2The third fuzzy rule base corresponds to a third proportion value K3Characterized in that said first proportional value K1The second proportional value K2And the third proportional value K3The sum is 1.
7. The adaptive learning apparatus for zero point position of accelerator pedal according to claim 6, further comprising a judgment analysis module, wherein the judgment analysis module is configured to:
and judging whether the absolute value of the voltage difference value reaches a preset voltage difference value.
8. The adaptive learning apparatus for zero point position of accelerator pedal according to claim 6, wherein the data processing module is further specifically configured to:
searching in the preset fuzzy rule base according to the absolute value of the voltage difference value to obtain a corresponding proportional value and a corresponding unit step value;
and calculating the voltage value adjusting step length according to the proportion value and the unit step length value.
9. An automobile, characterized in that the automobile applies the self-adaptive learning method of the zero position of the accelerator pedal according to any one of the claims 1 to 5 to update and adjust the minimum value of the opening degree of the accelerator pedal of the automobile in real time.
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| CN111890924B (en) * | 2020-07-02 | 2021-11-23 | 北京汽车股份有限公司 | Vehicle control method, control device, engine management system and vehicle |
| CN114261280B (en) * | 2020-09-16 | 2023-09-05 | 广汽埃安新能源汽车有限公司 | Accelerator pedal self-adaption method, vehicle-mounted controller, automobile and storage medium |
| CN112631125B (en) * | 2020-12-28 | 2022-11-29 | 潍柴动力股份有限公司 | Throttle valve self-learning control method and device, storage medium and electronic equipment |
| CN113063605A (en) * | 2021-02-08 | 2021-07-02 | 云度新能源汽车股份有限公司 | Zero calibration method for electronic throttle signal |
| CN113008574A (en) * | 2021-03-18 | 2021-06-22 | 中国第一汽车股份有限公司 | Hybrid electric vehicle accelerator pedal position and stroke output calibration method and hybrid electric vehicle |
| CN112918483B (en) * | 2021-03-18 | 2022-03-22 | 天津易鼎丰动力科技有限公司 | Self-learning method for accelerator pedal of pure electric vehicle |
| CN114263546B (en) * | 2021-12-30 | 2023-03-31 | 易通共享技术(广州)有限公司 | Self-learning correction method and system for automobile pedal travel signal |
| CN114506211B (en) * | 2022-01-28 | 2023-05-23 | 重庆长安新能源汽车科技有限公司 | Zero-opening self-learning method and device for accelerator pedal and automobile |
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