CN113183946B

CN113183946B - Hybrid electric vehicle, control method and control device thereof

Info

Publication number: CN113183946B
Application number: CN202110544173.XA
Authority: CN
Inventors: 宋国政
Original assignee: Beiqi Foton Motor Co Ltd
Current assignee: Beiqi Foton Motor Co Ltd
Priority date: 2021-05-19
Filing date: 2021-05-19
Publication date: 2023-07-11
Anticipated expiration: 2041-05-19
Also published as: CN113183946A

Abstract

The invention discloses a hybrid electric vehicle, a control method and a control device thereof, wherein the control method comprises the following steps: acquiring the current rotating speed of an engine, the requested torque of the engine and the SOC of a power battery; fuzzification processing is carried out on the torque request of the engine according to the current rotating speed of the engine to obtain fuzzified torque, and the SOC of the power battery is fuzzified to obtain fuzzified SOC; acquiring a fuzzification control signal according to the fuzzification torque and the fuzzification SOC; acquiring engine control torque according to the fuzzification control signal and the current rotating speed of the engine; the engine is controlled according to the engine control torque, so that the engine can work in a peak efficiency area, the working efficiency of the engine is improved, and therefore, the oil consumption can be reduced, and the engine can be matched with a small-power engine.

Description

Hybrid electric vehicle, control method and control device thereof

Technical Field

The invention relates to the technical field of hybrid electric vehicles, in particular to a hybrid electric vehicle, a control method and a control device thereof.

Background

The hybrid electric vehicle uses an engine and an electric drive system as vehicle driving sources, and the electric drive system is used as an auxiliary driving source to cut peak and fill the valley of the output torque of the engine so as to optimize the working efficiency of the engine and reduce the oil consumption.

One of the main objectives of the control method of a hybrid vehicle is to operate the engine in the peak efficiency region to increase the overall efficiency of the transmission assembly. The best way to achieve this goal is the CVT (Continuously Variable Transmission ), but it is limited by cost and self-development considerations.

For the technology without CVT, the related control algorithm is to calibrate thresholds Of parameters such as vehicle speed, torque, SOC (State Of Charge) and the like based on empirical rules, and control participation Of the engine and the electric drive system in the whole vehicle driving process through the thresholds. However, because the automobile driving process has high nonlinearity and high time variability, the existing controller algorithm has poor control effect, and the engine is difficult to work in a peak efficiency area, so that the efficiency is low and the oil consumption is high.

Disclosure of Invention

The present invention aims to solve at least one of the technical problems in the related art to some extent. Therefore, a first object of the present invention is to provide a control method for a hybrid vehicle, which helps to ensure that an engine operates in a peak efficiency region and to improve the operating efficiency of the engine, so that not only can fuel consumption be reduced, but also a low-power engine can be matched.

A second object of the present invention is to provide a control device for a hybrid vehicle.

A third object of the present invention is to provide a hybrid vehicle.

To achieve the above object, an embodiment of a first aspect of the present invention provides a method for controlling a hybrid vehicle, including: acquiring the current rotating speed of an engine, the requested torque of the engine and the SOC of a power battery; fuzzification processing is carried out on the torque request of the engine according to the current rotating speed of the engine to obtain fuzzified torque, and the SOC of the power battery is fuzzified to obtain fuzzified SOC; acquiring a fuzzification control signal according to the fuzzification torque and the fuzzification SOC; acquiring engine control torque according to the fuzzification control signal and the current rotating speed of the engine; the engine is controlled according to the engine control torque.

According to the control method of the hybrid electric vehicle, disclosed by the embodiment of the invention, the current rotating speed of the engine, the requested torque of the engine and the SOC of the power battery are obtained, the requested torque of the engine is subjected to fuzzification according to the current rotating speed of the engine to obtain the fuzzified torque, the SOC of the power battery is subjected to fuzzification to obtain the fuzzified SOC, the fuzzified control signal is obtained according to the fuzzified torque and the fuzzified SOC, the engine control torque is obtained according to the fuzzified control signal and the current rotating speed of the engine, and the engine is controlled according to the engine control torque, so that the engine is helped to ensure that the engine works in a peak efficiency area, and the working efficiency of the engine is improved, and therefore, not only the oil consumption can be reduced, but also a small-power engine can be matched.

According to one embodiment of the invention, the fuzzification of the engine request torque according to the current engine speed results in a fuzzified torque, comprising: obtaining an engine target torque and an engine maximum allowable torque according to the current rotation speed of the engine; if the engine request torque is less than or equal to the engine target torque, fuzzifying the engine request torque according to the engine target torque to obtain fuzzified torque; if the engine requested torque is greater than the engine target torque, the engine requested torque is fuzzified based on the engine target torque and the engine maximum allowable torque to obtain a fuzzified torque.

According to one embodiment of the present invention, the engine requested torque is fuzzified to obtain a fuzzified torque according to the engine target torque in the following manner:

wherein T1 is a blurring torque, and the blurring torque is between a first preset value and a second preset value;

the engine requested torque is fuzzified according to the engine target torque and the engine maximum allowable torque to obtain fuzzified torque in the following way:

wherein T2 is the blurring torque, the blurring torque is between the second preset value and the third preset value, and the first preset value is less than the second preset value and less than the third preset value.

According to one embodiment of the invention, the power battery SOC blurring process is performed to obtain a blurring SOC as follows:

the SOC1 is a blurred SOC, and the blurred SOC is between a first preset value and a third preset value.

According to one embodiment of the present invention, obtaining a fuzzification control signal from a fuzzification torque and a fuzzification SOC includes: and according to the fuzzification torque and the fuzzification SOC, looking up a table to obtain a fuzzification control signal. .

According to one embodiment of the present invention, obtaining an engine control torque based on a fuzzification control signal and a current engine speed includes: obtaining an engine target torque and an engine maximum allowable torque according to the current rotation speed of the engine; if the fuzzification control signal is smaller than or equal to a second preset value, acquiring engine control torque according to the engine target torque and the fuzzification control signal; and if the fuzzification control signal is larger than a second preset value, acquiring engine control torque according to the engine target torque, the engine maximum allowable torque and the fuzzification control signal.

According to one embodiment of the present invention, the engine control torque is obtained from the engine target torque and the fuzzification control signal as follows:

where Tf1 is the engine control torque;

the engine control torque is obtained according to the engine target torque, the engine maximum allowable torque and the fuzzification control signal in the following way:

where Tf2 is the engine control torque.

According to an embodiment of the present invention, the control method of the hybrid vehicle further includes: acquiring a current working mode of the hybrid electric vehicle; and obtaining the target torque of the engine from the working point limiting curve corresponding to the current working mode according to the current rotating speed of the engine.

In order to achieve the above object, a second aspect of the present invention provides a control device for a hybrid electric vehicle, including an acquisition module for acquiring a current rotation speed of an engine, a requested torque of the engine, and a SOC of a power battery; the input quantity fuzzification module is used for fuzzifying the engine request torque according to the current rotating speed of the engine to obtain fuzzified torque, and fuzzifying the power battery SOC to obtain fuzzified SOC; the fuzzy logic algorithm module is used for acquiring a fuzzy control signal according to the fuzzy torque and the fuzzy SOC; the output quantity conversion module is used for acquiring engine control torque according to the fuzzification control signal and the current rotating speed of the engine; and the control module is used for controlling the engine according to the engine control torque.

According to the control device of the hybrid electric vehicle, the current rotating speed of the engine, the requested torque of the engine and the SOC of the power battery are obtained through the obtaining module, the input quantity fuzzification module is used for fuzzifying the requested torque of the engine according to the current rotating speed of the engine to obtain the fuzzified torque, the power battery SOC is fuzzified to obtain the fuzzified SOC, the fuzzy logic algorithm module is used for obtaining the fuzzified control signal according to the fuzzified torque and the fuzzified SOC, the output quantity conversion module is used for obtaining the engine control torque according to the fuzzified control signal and the current rotating speed of the engine, and the control module is used for controlling the engine according to the engine control torque, so that the engine can work in a peak efficiency area, the working efficiency of the engine is improved, oil consumption can be reduced, and a small-power engine can be matched.

To achieve the above object, a third aspect of the present invention provides a hybrid vehicle, which includes the control device of the hybrid vehicle.

According to the hybrid electric vehicle disclosed by the embodiment of the invention, the control device of the hybrid electric vehicle is beneficial to ensuring that the engine works in a peak efficiency area and improving the working efficiency of the engine, so that the oil consumption can be reduced, and the hybrid electric vehicle can be matched with a low-power engine.

Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.

Drawings

Fig. 1 is a flowchart of a control method of a hybrid vehicle according to an embodiment of the present invention;

fig. 2 is a block diagram showing a control apparatus of a hybrid vehicle according to an embodiment of the present invention;

fig. 3 is a block diagram of a hybrid vehicle according to an embodiment of the present invention.

Detailed Description

Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to like or similar elements or elements having like or similar functions throughout. The embodiments described below by referring to the drawings are illustrative and intended to explain the present invention and should not be construed as limiting the invention.

The following describes a hybrid electric vehicle, a control method thereof and a control device thereof according to an embodiment of the present invention with reference to the accompanying drawings.

Fig. 1 is a flowchart of a control method of a hybrid vehicle according to an embodiment of the present invention, and referring to fig. 1, the control method of the hybrid vehicle may include the steps of:

step S101: the current rotational speed of the engine, the engine requested torque, and the power battery SOC are obtained.

Specifically, taking an example that the control method of the hybrid electric vehicle is applied to a vehicle controller of the hybrid electric vehicle. The vehicle controller may acquire the current rotational speed of the engine, that is, the instant rotational speed of the engine, through data interaction with a battery management system of the power battery to acquire the SOC of the power battery, that is, the state of charge of the power battery, and acquire the current vehicle speed, the accelerator pedal signal, the brake pedal signal, the current working mode of the vehicle, and the like, and acquire the engine request torque based on these signals.

Step S102: and fuzzifying the engine request torque according to the current rotating speed of the engine to obtain fuzzified torque, and fuzzifying the power battery SOC to obtain fuzzified SOC.

It should be noted that, the present application adopts the blurring process to the two paths of signals of the engine request torque and the power battery SOC to obtain the working point of the engine, so that most peak efficiency points are all in the high torque area, so that the working efficiency of the engine is the highest, and the purpose of reducing the fuel consumption can be achieved by matching with the small-power engine. Specifically, the method comprises the steps of carrying out fuzzification processing on the torque required by the engine according to the current rotating speed of the engine to obtain fuzzified torque, carrying out fuzzification processing on the SOC of the power battery to obtain fuzzified SOC, and then obtaining the working point of the engine based on the fuzzified torque and the fuzzified SOC.

In one embodiment, fuzzifying an engine requested torque based on a current engine speed to obtain a fuzzified torque includes: obtaining an engine target torque and an engine maximum allowable torque according to the current rotation speed of the engine; if the engine request torque is less than or equal to the engine target torque, fuzzifying the engine request torque according to the engine target torque to obtain fuzzified torque; if the engine requested torque is greater than the engine target torque, the engine requested torque is fuzzified based on the engine target torque and the engine maximum allowable torque to obtain a fuzzified torque.

Specifically, the target torque of the engine can be obtained from a table corresponding to a preset working point limiting curve according to the current rotation speed of the engine, the maximum allowable torque of the engine can be obtained from a table corresponding to a preset maximum torque limiting curve according to the current rotation speed of the engine, and then the requested torque of the engine and the target torque of the engine are compared to determine different fuzzy logic. It should be noted that, in different operation modes, the operating point limiting curves of the engine are different, so the control method of the hybrid electric vehicle further includes: acquiring a current working mode of the hybrid electric vehicle; and obtaining the target torque of the engine from the working point limiting curve corresponding to the current working mode according to the current rotating speed of the engine so as to ensure that the engine can work in a high torque efficiency area in any mode, thereby further improving the working efficiency of the engine.

When the engine request torque is smaller than or equal to the engine target torque, it is indicated that if the engine works at the target torque, energy remains under the condition that the engine request torque is met, and in order to improve the working efficiency of the engine, the first fuzzy logic mode is adopted to perform fuzzy processing on the engine request torque, namely, the engine request torque is subjected to fuzzy processing according to the engine target torque, so that the fuzzy torque is obtained; when the engine request torque is greater than the engine target torque, it is indicated that if the engine works at the target torque and the energy is insufficient, the engine request torque cannot be satisfied, at this time, the output torque of the engine can be increased, so that the engine works in a high torque area, and the working efficiency of the engine can be improved, at this time, the second fuzzy logic mode is adopted to perform the fuzzification processing on the engine request torque, that is, the fuzzification processing on the engine request torque according to the engine target torque and the maximum allowable torque of the engine is adopted to obtain the fuzzification torque.

In one embodiment, the engine requested torque is fuzzified according to the engine target torque to obtain a fuzzified torque according to equation (1):

wherein T1 is a blurring torque, and the blurring torque is between a first preset value and a second preset value.

And (3) fuzzifying the engine request torque according to the engine target torque and the maximum allowable engine torque to obtain fuzzified torque according to a formula (2):

Specifically, since the blurring process is to blur an accurate input signal through fuzzy logic to facilitate the calculation of the subsequent fuzzy logic algorithm, the engine request torque may be scaled according to the principle from small to large, for example, a first preset value such as 1 to a third preset value such as 11 (10 intervals in total) may be scaled, and for an engine request torque lower than the engine target torque, a linear division may be made into a first preset value such as 1 to a second preset value such as 6, and for an engine request torque higher than the engine target torque, a linear division may be made into a second preset value such as 6 to a third preset value such as 11, which may be specifically shown in the foregoing formulas (1) and (2).

In one embodiment, the power battery SOC blurring process is performed to obtain a blurred SOC according to equation (3):

Specifically, since the working point of the engine in the present application is obtained according to two signals of the engine request torque and the power battery SOC, when the fuzzification processing is performed, the power battery SOC may be scaled according to the same scale division manner as the engine request torque, so as to facilitate the subsequent fuzzy logic algorithm calculation, and reduce the complexity of the subsequent calculation, for example, the power battery SOC is scaled by a first preset value, such as 1 to a third preset value, such as 11 (10 segments in total), so as to linearly divide the power battery SOC into 1 to 11, which may be specifically shown in the foregoing formula (3).

Step S103: and acquiring a blurring control signal according to the blurring torque and the blurring SOC.

Specifically, after the fuzzy torque and the fuzzy SOC are obtained, the fuzzy torque and the fuzzy SOC can be combined into a fuzzy control signal at a first preset value to a third preset value through a set of fuzzy logic algorithm.

In one embodiment, obtaining the fuzzy control signal based on the fuzzy torque and the fuzzy SOC includes looking up a table based on the fuzzy torque and the fuzzy SOC to obtain the fuzzy control signal.

Specifically, obfuscation is a membership process that converts an input value into two sets, in which the relationship between the input value and membership may be determined by a lookup table in a specific example. Table 1 is a torque and SOC ambiguity control look-up table for a hybrid vehicle according to one embodiment of the present invention, and referring to table 1, the rows of the table are labeled as ambiguous SOC and the columns are labeled as ambiguous torque, it can be seen that the table measures ambiguous torque and ambiguous SOC with values of 1 to 11. In a specific implementation, for example, when the fuzzification torque and the fuzzification SOC are both 6, the fuzzification control signal is obtained through table look-up, and the calculated output fuzzification control signal is 8; when the fuzzification SOC is 2 and the fuzzification torque is 9, the fuzzification control signal is obtained through table lookup, and the calculated output fuzzification control signal is 10.

TABLE 1

Step S104: and obtaining engine control torque according to the fuzzification control signal and the current rotating speed of the engine.

Specifically, after the fuzzification control signal is obtained, the engine control torque can be obtained according to the fuzzification control signal and the current rotation speed of the engine, so that the engine works in a peak efficiency area.

In one embodiment, obtaining the engine control torque based on the fuzzification control signal and the current engine speed comprises: obtaining an engine target torque and an engine maximum allowable torque according to the current rotation speed of the engine; if the fuzzification control signal is smaller than or equal to a second preset value, acquiring engine control torque according to the engine target torque and the fuzzification control signal; and if the fuzzification control signal is larger than a second preset value, acquiring engine control torque according to the engine target torque, the engine maximum allowable torque and the fuzzification control signal.

Since the engine target torque and the engine maximum allowable torque have been obtained from the current engine speed in step S102, the engine target torque and the engine maximum allowable torque obtained before can be directly used. Then, the blurring control signal obtained in step S103 is judged to obtain the way of obtaining the engine control torque.

When the fuzzification control signal is smaller than or equal to a second preset value, namely the engine request torque is smaller than or equal to the engine target torque, the engine control torque is acquired according to the engine target torque and the fuzzification control signal, so that the output of excessive energy of the engine is reduced, and the working efficiency of the engine is improved; when the fuzzification control signal is larger than a second preset value, namely the engine request torque is larger than the engine target torque, the engine control torque is acquired according to the engine target torque, the maximum allowable engine torque and the fuzzification control signal, so that the output torque of the engine is improved, the engine is enabled to work in a high torque area, and the working efficiency of the engine is improved.

In one embodiment, the engine control torque is obtained from the engine target torque and the fuzzification control signal according to equation (4):

where Tf1 is the engine control torque;

according to the formula (5), the engine control torque is obtained according to the engine target torque, the engine maximum allowable torque and the fuzzification control signal:

where Tf2 is the engine control torque.

Step S105: the engine is controlled according to the engine control torque.

Specifically, after the engine control torque is obtained, the engine is controlled according to the engine control torque, and the engine works in a high torque area at the moment, so that the working efficiency of the engine is the highest, and the oil consumption is effectively reduced.

Therefore, the engine can work in the peak efficiency area based on fuzzy logic processing of two paths of signals of the engine request torque and the power battery SOC, so that the engine efficiency reaches the highest, and the oil consumption is reduced. In addition, since the output torque of the engine is higher than the torque calculated according to the running operation in most cases, the control method of the present application can also be applied to a low-power engine for the purpose of reducing fuel consumption.

In summary, according to the control method of the hybrid electric vehicle in the embodiment of the invention, the current rotation speed of the engine, the engine request torque and the power battery SOC are obtained, the engine request torque is fuzzified according to the current rotation speed of the engine to obtain the fuzzified torque, the power battery SOC is fuzzified to obtain the fuzzified SOC, the fuzzified control signal is obtained according to the fuzzified torque and the fuzzified SOC, the engine control torque is obtained according to the fuzzified control signal and the current rotation speed of the engine, and the engine is controlled according to the engine control torque, so that the engine is guaranteed to work in a peak efficiency area, and the working efficiency of the engine is improved, so that the fuel consumption can be reduced, and the small-power engine can be matched.

Fig. 2 is a block diagram showing a control apparatus of a hybrid vehicle according to an embodiment of the present invention. Referring to fig. 2, the control device 200 of the hybrid vehicle includes an acquisition module 201, an input amount blurring module 202, a fuzzy logic algorithm module 203, an output amount conversion module 204, and a control module 205.

Wherein, the acquisition module 201 is used for acquiring the current rotation speed of the engine, the requested torque of the engine and the SOC of the power battery; the input quantity fuzzification module 202 is used for fuzzifying the engine request torque according to the current rotating speed of the engine to obtain fuzzified torque, and fuzzifying the power battery SOC to obtain fuzzified SOC; the fuzzy logic algorithm module 203 is configured to obtain a fuzzy control signal according to the fuzzy torque and the fuzzy SOC; the output quantity conversion module 204 is used for obtaining engine control torque according to the fuzzification control signal and the current rotation speed of the engine; the control module 205 is configured to control the engine according to the engine control torque.

In one embodiment, the input quantity obfuscation module 202 is specifically configured to: obtaining an engine target torque and an engine maximum allowable torque according to the current rotation speed of the engine; if the engine request torque is less than or equal to the engine target torque, fuzzifying the engine request torque according to the engine target torque to obtain fuzzified torque; if the engine requested torque is greater than the engine target torque, the engine requested torque is fuzzified based on the engine target torque and the engine maximum allowable torque to obtain a fuzzified torque.

In one embodiment, the input obfuscation module 202 obfuscates the engine requested torque based on the engine target torque to obtain an obfuscated torque as follows:

the input fuzzification module 202 fuzzifies the engine requested torque based on the engine target torque and the engine maximum allowable torque to obtain a fuzzified torque as follows:

In one embodiment, the input obfuscation module 202 obfuscates the power battery SOC to obtain an obfuscated SOC as follows:

In one embodiment, when the fuzzy logic algorithm module 203 obtains the fuzzy control signal according to the fuzzy torque and the fuzzy SOC, the fuzzy logic algorithm module is specifically configured to obtain the fuzzy control signal according to the fuzzy torque and the fuzzy SOC, and the table lookup mode may refer to implementation of the control method of the hybrid electric vehicle, which is not described herein in detail.

In one embodiment, the output-quantity conversion module 204 is specifically configured to: obtaining an engine target torque and an engine maximum allowable torque according to the current rotation speed of the engine; if the fuzzification control signal is smaller than or equal to a second preset value, acquiring engine control torque according to the engine target torque and the fuzzification control signal; and if the fuzzification control signal is larger than a second preset value, acquiring engine control torque according to the engine target torque, the engine maximum allowable torque and the fuzzification control signal.

In one embodiment, the yield conversion module 204 obtains the engine control torque from the engine target torque and the fuzzification control signal as follows:

where Tf1 is the engine control torque;

the yield conversion module 204 obtains the engine control torque based on the engine target torque, the engine maximum allowable torque, and the fuzzification control signal as follows:

where Tf2 is the engine control torque.

In one embodiment, the obtaining module 201 is further configured to obtain a current operation mode of the hybrid electric vehicle; the input blurring module 202 is further configured to obtain an engine target torque from an operating point limit curve corresponding to a current operating mode according to a current rotational speed of the engine.

Note that, for the description of the control device of the hybrid electric vehicle in the present application, please refer to the description of the control method of the hybrid electric vehicle in the present application, and detailed description thereof is omitted herein.

Fig. 3 is a block diagram of a hybrid vehicle according to an embodiment of the present invention. Referring to fig. 3, the hybrid vehicle 2000 includes the control device 200 of the hybrid vehicle described above.

It should be noted that the logic and/or steps represented in the flowcharts or otherwise described herein, for example, may be considered as a ordered listing of executable instructions for implementing logical functions, and may 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.

It is to be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above-described embodiments, the various steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, may be implemented using any one or combination of the following techniques, as is well known in the art: discrete logic circuits having logic gates for implementing logic functions on data signals, application specific integrated circuits having suitable combinational logic gates, programmable Gate Arrays (PGAs), field Programmable Gate Arrays (FPGAs), and the like.

In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include at least one such feature. In the description of the present invention, the meaning of "plurality" means at least two, for example, two, three, etc., unless specifically defined otherwise.

In the present invention, unless explicitly specified and limited otherwise, the terms "mounted," "connected," "secured," and the like are to be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally formed; can be mechanically or electrically connected; either directly or indirectly, through intermediaries, or both, may be in communication with each other or in interaction with each other, unless expressly defined otherwise. The specific meaning of the above terms in the present invention can be understood by those of ordinary skill in the art according to the specific circumstances.

While embodiments of the present invention have been shown and described above, it will be understood that the above embodiments are illustrative and not to be construed as limiting the invention, and that variations, modifications, alternatives and variations may be made to the above embodiments by one of ordinary skill in the art within the scope of the invention.

Claims

1. A control method of a hybrid vehicle, characterized by comprising:

acquiring the current rotating speed of an engine, the requested torque of the engine and the SOC of a power battery;

fuzzification processing is carried out on the engine request torque according to the current rotating speed of the engine to obtain fuzzification torque, and the power battery SOC fuzzification processing is carried out to obtain fuzzification SOC;

acquiring a fuzzification control signal according to the fuzzification torque and the fuzzification SOC;

acquiring engine control torque according to the fuzzification control signal and the current rotating speed of the engine;

controlling the engine according to the engine control torque;

and fuzzifying the engine request torque according to the current rotating speed of the engine to obtain fuzzified torque, wherein the fuzzified torque comprises the following components:

obtaining an engine target torque and an engine maximum allowable torque according to the current rotating speed of the engine;

if the engine request torque is smaller than or equal to the engine target torque, fuzzifying the engine request torque according to the engine target torque to obtain the fuzzified torque;

if the engine request torque is larger than the engine target torque, fuzzifying the engine request torque according to the engine target torque and the maximum allowable engine torque to obtain the fuzzified torque;

and fuzzifying the engine request torque according to the engine target torque to obtain the fuzzified torque in the following way:

wherein T1 is the obscuring torque, and the obscuring torque is between the first preset value and the second preset value;

the fuzzification torque is obtained by fuzzification processing of the engine request torque according to the engine target torque and the engine maximum allowable torque in the following way:

wherein T2 is the obscuring torque, and the obscuring torque is between the second preset value and the third preset value, and the first preset value is less than the second preset value and less than the third preset value.

2. The control method of a hybrid vehicle according to claim 1, wherein the power battery SOC blurring process is performed in such a manner that a blurring SOC is obtained as follows:

the SOC1 is the blurred SOC, and the blurred SOC is between the first preset value and the third preset value.

3. The control method of the hybrid vehicle according to claim 1, wherein obtaining a fuzzification control signal from the fuzzification torque and the fuzzification SOC includes:

and according to the fuzzification torque and the fuzzification SOC, looking up a table to obtain the fuzzification control signal.

4. The control method of a hybrid vehicle according to claim 1, wherein obtaining an engine control torque based on the fuzzification control signal and the current engine speed comprises:

if the fuzzification control signal is smaller than or equal to the second preset value, acquiring the engine control torque according to the engine target torque and the fuzzification control signal;

and if the fuzzification control signal is larger than the second preset value, acquiring the engine control torque according to the engine target torque, the engine maximum allowable torque and the fuzzification control signal.

5. The control method of a hybrid vehicle according to claim 4, characterized in that the engine control torque is obtained from the engine target torque and the fuzzification control signal in the following manner:

where Tf1 is the engine control torque;

where Tf2 is the engine control torque.

6. The control method of a hybrid vehicle according to any one of claims 1 to 5, characterized by further comprising:

acquiring a current working mode of the hybrid electric vehicle;

and obtaining the target torque of the engine from a working point limiting curve corresponding to the current working mode according to the current rotating speed of the engine.

7. A control device for a hybrid vehicle, comprising:

the acquisition module is used for acquiring the current rotating speed of the engine, the engine request torque and the power battery SOC;

the input quantity fuzzification module is used for fuzzifying the torque required by the engine according to the current rotating speed of the engine to obtain fuzzified torque, and fuzzifying the SOC of the power battery to obtain fuzzified SOC;

the fuzzy logic algorithm module is used for acquiring a fuzzy control signal according to the fuzzy torque and the fuzzy SOC;

the output quantity conversion module is used for obtaining engine control torque according to the fuzzification control signal and the current rotating speed of the engine;

the control module is used for controlling the engine according to the engine control torque;

8. A hybrid vehicle comprising the control device of the hybrid vehicle according to claim 7.