CN114394084B

CN114394084B - Charging control method and system of hybrid electric vehicle and hybrid electric vehicle

Info

Publication number: CN114394084B
Application number: CN202210150259.9A
Authority: CN
Inventors: 李洁辰
Original assignee: Shanghai Rox Intelligent Technology Co Ltd
Current assignee: Shanghai Rox Intelligent Technology Co Ltd
Priority date: 2021-08-18
Filing date: 2021-08-18
Publication date: 2023-07-14
Anticipated expiration: 2041-08-18
Also published as: CN114394084A; CN113665561B; CN113665561A

Abstract

The invention provides a charge control method and a charge control system of a hybrid electric vehicle and the hybrid electric vehicle, and relates to the technical field of charge control of the hybrid electric vehicle. And adjusting the weight value according to the determined parameter, adjusting the current working parameter of the engine to obtain an adjusted working parameter, and controlling the engine to charge the power battery of the hybrid electric vehicle based on the adjusted working parameter. According to the method, the noise generated by the engine when the power battery is charged is submerged in the real-time noise in the vehicle, so that the charging scene of the engine to the power battery is increased, and the charging efficiency is improved.

Description

Charging control method and system of hybrid electric vehicle and hybrid electric vehicle

Technical Field

The invention relates to the technical field of hybrid electric vehicle charging control, in particular to a method and a system for controlling charging of a hybrid electric vehicle and the hybrid electric vehicle.

Background

Unlike the conventional gasoline vehicle, the hybrid vehicle can drive the vehicle by using the driving force output from the motor to achieve the purpose of saving fuel. An electric motor in a hybrid vehicle is driven by a power battery whose electric power is adjusted by power generation of an engine. The engine in the hybrid electric vehicle can generate obvious vibration and noise when charging the power battery, so that the NVH (Noise, vibration, harshness, noise, vibration and harshness) problem of the vehicle is brought, and the driving experience of a user is affected.

Because the hybrid electric vehicle can drive the vehicle to run by using the motor, the vehicle has good smoothness at the moment, so how to control the engine to charge more electricity into the power battery, and improving the driving distance of the motor is a key for improving driving experience. In the prior art, the electric quantity of a power battery is mainly used as a key parameter of engine charging intervention, namely: when the charge of the power battery is below a certain threshold, the engine is started and the power battery is charged. Therefore, the process of charging the power battery in the prior art lacks interaction with an actual scene, the charging efficiency is low, the engine intervention scene is more, and the driving experience of a user is affected.

Disclosure of Invention

Accordingly, the present invention is directed to a method and a system for controlling charging of a hybrid electric vehicle, and a hybrid electric vehicle, wherein real-time noise in the vehicle is associated with a charging process of an engine, so that noise generated when the engine charges a power battery is submerged in the real-time noise in the vehicle, a charging scene of the engine to the power battery is increased, charging efficiency of the power battery is improved, and driving experience of a user is improved.

In a first aspect, an embodiment of the present invention provides a method for controlling charging of a hybrid electric vehicle, including:

acquiring noise parameters of the hybrid electric vehicle in real time;

determining a parameter adjustment weight value of the hybrid electric vehicle corresponding to the acquired noise parameter based on a mapping relation between the preset noise parameter and the parameter adjustment weight value; the mapping relation is based on the corresponding relation between the weight values corresponding to different working parameters of the engine in the hybrid electric vehicle and different noise parameters; the noise parameters in the mapping relation and the corresponding parameter adjustment weight values are in positive correlation;

and adjusting the current working parameters of the engine according to the determined parameter adjustment weight values to obtain adjusted working parameters, and controlling the engine to charge a power battery of the hybrid electric vehicle based on the adjusted working parameters, wherein the operating noise value generated by the engine controlled by the adjusted working parameters is not greater than the noise parameter.

In some embodiments, acquiring noise parameters of a hybrid vehicle in real time includes:

the method comprises the steps of acquiring a noise value generated by a noise source in a cab of the hybrid electric vehicle in real time, and acquiring a noise adjusting value for adjusting the working state of the noise source in real time.

In some embodiments, determining a parameter adjustment weight value of the hybrid vehicle corresponding to the acquired noise parameter based on a mapping relationship between the preset noise parameter and the parameter adjustment weight value includes:

if the noise parameter is larger than the preset noise parameter threshold, determining the parameter adjustment weight value of the hybrid electric vehicle corresponding to the acquired noise parameter based on the mapping relation between the preset noise parameter and the parameter adjustment weight value.

In some embodiments, if the noise parameter is not greater than the preset noise parameter threshold, the parameter adjustment weight value is configured to be 1.

In some embodiments, when the noise parameter is a noise value, before determining the parameter adjustment weight value of the hybrid vehicle corresponding to the obtained noise parameter based on the mapping relationship between the preset noise parameter and the parameter adjustment weight value, the method further includes:

obtaining noise data corresponding to the noise value in a time period from the target moment to the current moment based on the noise value obtained in real time; the target time is the time before the current time;

Matching the noise data with each preset audio data sample;

if the matching is successful, obtaining a noise value of the next moment at the current moment according to the matched audio data sample;

based on a mapping relation between a preset noise parameter and a parameter adjustment weight value, determining the parameter adjustment weight value of the hybrid electric vehicle corresponding to the acquired noise parameter, including:

and determining the parameter adjustment weight value of the hybrid electric vehicle corresponding to the obtained noise value based on the mapping relation between the preset noise parameter and the parameter adjustment weight value.

In some embodiments, when the noise parameter is a noise value, determining the parameter adjustment weight value of the hybrid vehicle corresponding to the obtained noise parameter based on a mapping relationship between the preset noise parameter and the parameter adjustment weight value includes:

determining a noise value acquired in real time in a time period from the target time to the current time as a noise value of the next time of the current time; the target time is the time before the current time;

if the noise value acquired in real time is larger than the preset noise value threshold, determining the parameter adjustment weight value of the hybrid electric vehicle corresponding to the noise value at the next moment at the current moment based on the mapping relation between the preset noise value and the parameter adjustment weight value.

In some embodiments, when the noise parameter is a noise adjustment value, determining the parameter adjustment weight value of the hybrid vehicle corresponding to the obtained noise parameter based on a mapping relationship between the preset noise parameter and the parameter adjustment weight value includes:

acquiring an air conditioner adjusting value in the noise adjusting values; the air conditioner adjusting value is used for adjusting the air quantity and the temperature of an air conditioner in the hybrid electric vehicle;

and if the air conditioner adjusting value is larger than the preset air conditioner adjusting threshold value, determining the parameter adjusting weight value of the hybrid electric vehicle corresponding to the air conditioner adjusting value based on the mapping relation between the preset air conditioner adjusting value and the parameter adjusting weight.

acquiring an acoustic adjusting value in the noise adjusting values; the sound adjusting value is used for adjusting the audio played in the sound of the hybrid electric vehicle;

if the sound adjusting value is larger than the preset sound adjusting threshold value, determining the parameter adjusting weight value of the hybrid electric vehicle corresponding to the sound adjusting value based on the mapping relation between the preset sound adjusting value and the parameter adjusting weight.

In some embodiments, the operating parameters of the engine include power of the engine and rotational speed of the engine;

adjusting the current working parameters of the engine according to the determined parameter adjustment weight values to obtain adjusted working parameters, wherein the method comprises the following steps:

multiplying a parameter adjustment weight value corresponding to the power of the engine with the current power in the current working parameters to obtain adjusted power;

multiplying a parameter adjustment weight value corresponding to the rotating speed of the engine by the current rotating speed in the current working parameters to obtain an adjusted rotating speed;

and determining the adjusted power and the adjusted rotating speed as adjusted working parameters.

In some embodiments, after controlling the engine to charge the power battery of the hybrid vehicle, the method further comprises:

when the cab of the hybrid electric vehicle is detected to be in a non-closed state, controlling the engine to stop charging the power battery of the hybrid electric vehicle; or when the duration that the cab of the hybrid electric vehicle is in the non-closed state exceeds the preset duration threshold, controlling the engine to stop charging the power battery of the hybrid electric vehicle.

In a second aspect, an embodiment of the present invention provides a charging control system for a hybrid vehicle, including:

The noise parameter acquisition module is used for acquiring noise parameters of the hybrid electric vehicle in real time;

the charging parameter determining module is used for determining a parameter adjustment weight value of the hybrid electric vehicle corresponding to the acquired noise parameter based on a mapping relation between the preset noise parameter and the parameter adjustment weight value; the mapping relation is based on the corresponding relation between the weight values corresponding to different working parameters of the engine in the hybrid electric vehicle and different noise parameters; the noise parameters in the mapping relation and the corresponding parameter adjustment weight values are in positive correlation;

the charging execution module is used for adjusting the current working parameters of the engine according to the determined parameters to obtain adjusted working parameters, controlling the engine to charge the power battery of the hybrid electric vehicle based on the adjusted working parameters, wherein the running noise value generated by the engine controlled by the adjusted working parameters is not greater than the noise parameter.

In a third aspect, an embodiment of the present invention further provides a hybrid vehicle, where the hybrid vehicle at least includes: an engine, an electric motor, a power battery, a storage medium, and a processor; an engine for charging the power battery; an electric motor for driving the vehicle; a power battery for providing a driving force to the motor; the storage medium is used for storing program instructions; when the engine charges the power battery, the processor is configured to call the program instruction stored in the memory, and execute the charging control method of the hybrid electric vehicle according to the first aspect according to the obtained program instruction.

The embodiment of the invention has the following beneficial effects:

the invention provides a charging control method and a system of a hybrid electric vehicle and the hybrid electric vehicle, wherein in the implementation process of the method, the noise parameters of the hybrid electric vehicle are required to be acquired in real time; then, based on a mapping relation between a preset noise parameter and a parameter adjustment weight value, determining the parameter adjustment weight value of the hybrid electric vehicle corresponding to the acquired noise parameter; the mapping relation is based on the corresponding relation between the weight values corresponding to different working parameters of the engine in the hybrid electric vehicle and different noise parameters; noise parameters in the mapping relation and corresponding parameter adjustment weight values are in positive correlation; and adjusting the weight value according to the determined parameter, adjusting the current working parameter of the engine to obtain an adjusted working parameter, controlling the engine to charge a power battery of the hybrid electric vehicle based on the adjusted working parameter, wherein the operating noise value generated by the engine controlled by the adjusted working parameter is not greater than the noise parameter. According to the method, the real-time noise in the vehicle is associated with the charging process of the engine, so that the noise generated by the engine when the power battery is charged is submerged in the real-time noise in the vehicle, the charging scene of the engine to the power battery is increased, the charging efficiency of the power battery is improved, and the driving experience of a user is improved.

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

In order to make the above objects, features and advantages of the present invention more 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 that are needed in the description of the embodiments or the prior art will be briefly described, and it is obvious that the drawings in the description below are some embodiments of the present invention, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.

Fig. 1 is a flowchart of a method for controlling charging of a hybrid electric vehicle according to an embodiment of the present invention;

fig. 2 is a flowchart of predicting a noise value by using a matching process when a noise parameter is the noise value in a charge control method of a hybrid electric vehicle according to an embodiment of the present invention;

Fig. 3 is a schematic diagram of parameter adjustment weight values using a predictable noise value in a method for controlling charging of a hybrid electric vehicle according to an embodiment of the present invention;

fig. 4 is a flowchart of determining a parameter adjustment weight value by using a current noise value when the noise parameter is the noise value in the charge control method of the hybrid electric vehicle according to the embodiment of the invention;

fig. 5 is a schematic diagram of a method for controlling charging of a hybrid electric vehicle according to an embodiment of the present invention, in which a current noise value is used to adjust a weight value of a parameter;

fig. 6 is a flowchart of determining a parameter adjustment weight value by using an air conditioner adjustment value in noise adjustment values when a noise parameter is the noise adjustment value in a charge control method of a hybrid electric vehicle according to an embodiment of the present invention;

fig. 7 is a flowchart of determining a parameter adjustment weight value by using an acoustic adjustment value in noise adjustment values when a noise parameter is the noise adjustment value in a charge control method of a hybrid electric vehicle according to an embodiment of the present invention;

FIG. 8 is a flowchart of a method for controlling charging of a hybrid electric vehicle according to an embodiment of the present invention, wherein a weight value is adjusted according to a determined parameter, and a current operating parameter of an engine is adjusted to obtain an adjusted operating parameter;

Fig. 9 is a flowchart of another method for controlling charging of a hybrid electric vehicle according to an embodiment of the present invention;

fig. 10 is a schematic structural diagram of a charge control system of a hybrid electric vehicle according to an embodiment of the present invention;

fig. 11 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.

Icon:

1010-a noise parameter acquisition module; 1020-a charging parameter determination module; 1030-a charge execution module; a 101-processor; 102-memory; 103-bus; 104-communication interface.

Detailed Description

For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.

The hybrid vehicle is a vehicle in which an engine and/or a motor is used as a driving force, and the driving force of the motor is applied to a high fuel consumption condition of the engine, thereby reducing the fuel consumption of the whole vehicle. Besides the engine and the motor, the hybrid electric vehicle further comprises a power battery, a generator, a braking kinetic energy recovery device and the like, and the power flow distribution of the hybrid electric vehicle is finally realized by utilizing the devices.

Common hybrid vehicles include the following three types:

the engine and the motor may output driving force simultaneously. This type is the most common type of hybrid at present, and is very common in both plug-in and non-plug-in hybrid vehicles.

The engine and the motor can only provide driving force respectively and cannot output simultaneously. Hybrid vehicles of this type are commonly found in hybrid buses, i.e. the engine and the motor can only be one to drive the vehicle.

Thirdly, the engine is not involved in the output of the driving force and is only used for charging the power battery; the power battery supplies energy to the motor so as to drive the automobile to run. This type of hybrid is commonly found in extended range hybrid vehicles.

Although hybrid vehicles are of various types, an engine-generator-power battery-motor is an indispensable set of power flows. The power source of the motor is a power battery, and the electric quantity of the power battery is supplemented by a generator; the generator is powered by the engine, so that when the power of the power battery is insufficient, the engine is started to perform the power generation function. As is known from the output characteristics of the engine, the execution efficiency of the engine is directly related to the rotation speed thereof, and the engine is in an economic fuel consumption interval when generating electricity in a hybrid electric vehicle, and the rotation speed of the engine at this time may be relatively high, which may cause obvious vibration and noise. Therefore, how to deal with the NVH problem caused when an engine charges a power battery in a hybrid vehicle has become one of the keys of the hybrid vehicle today.

In the prior art, the problem of NVH of the vehicle is mainly solved by adopting a passive mode, namely, the position sources of noise and vibration of the vehicle are obtained through model analysis, and measures for simulating the noise and vibration are carried out at the position to solve the NVH problem, such as adding soundproof cotton and the like. However, this increases the weight of the vehicle, which is disadvantageous in reducing fuel consumption of the vehicle, and also increases the manufacturing cost of the vehicle.

In a hybrid vehicle, there is good smoothness when the engine is not started and the vehicle is driven by the motor alone, and excessive starting of the engine is not desired for the user, so how to control the intervention of the engine is also critical to alleviating the vehicle NVH problem. In the existing hybrid electric vehicle, the electric quantity of a power battery is mainly used as a key parameter for engine intervention, and when the electric quantity of the power battery is lower than a certain threshold value, the engine is started and charges the power battery. Therefore, the interaction with an actual scene is absent when the power battery of the hybrid electric vehicle in the prior art is charged, the charging efficiency is low, the scenes of engine intervention are more, and the driving experience of a user is reduced.

Based on the above, the embodiment of the invention provides a charging control method and a charging control system for a hybrid electric vehicle and the hybrid electric vehicle, and the real-time noise in the vehicle is associated with the charging process of an engine, so that the noise generated by the engine when charging a power battery is submerged in the real-time noise in the vehicle, the charging scene of the engine on the power battery is increased, the charging efficiency of the power battery is improved, and the driving experience of a user is improved.

For the convenience of understanding the present embodiment, a detailed description will be given of a method for controlling charging of a hybrid vehicle according to an embodiment of the present invention.

Referring to a flowchart of a charge control method of a hybrid vehicle shown in fig. 1, the method includes the steps of:

step S101, obtaining noise parameters of the hybrid electric vehicle in real time.

Noise parameters include both noise values in a hybrid vehicle, such as: noise value generated by audio playing in the car audio, noise value generated in the running process of the air conditioner, noise value generated by speaking of the personnel in the car and the like; also included are related conditioning parameters in a hybrid vehicle that can generate noise, such as: a sound volume value of the car interior sound, an air volume value of the air conditioner, and the like. In the process of acquiring the noise parameters in real time, the noise value can be realized by using an acquisition device arranged in the vehicle. These acquisition devices are preferentially deployed near the driver to acquire noise in the driver's area; the acquisition device may also be deployed in a passenger or rear seating area for acquiring noise in the passenger. The real-time noise in the vehicle, which is acquired by the acquisition devices, is used as noise which can be perceived by personnel in the vehicle, and the visual perception of the personnel in the vehicle on the noise in the vehicle is reflected.

It should be noted that the noise parameters obtained at this time are mainly derived from noise generated by various devices in the vehicle and noise generated by personnel in the vehicle, and do not include noise generated by the operation of the engine.

Step S102, determining a parameter adjustment weight value of the hybrid electric vehicle corresponding to the acquired noise parameter based on a mapping relation between the preset noise parameter and the parameter adjustment weight value; the mapping relation is based on the corresponding relation between the weight values corresponding to different working parameters of the engine in the hybrid electric vehicle and different noise parameters.

The mapping relation in the step comprises the corresponding relation between various weight values and different noise parameters under different working parameters of the engine, and specifically, the working parameters of the engine can comprise: power, torque, rotational speed, etc., noise parameters may include: noise values, noise adjustment values, etc. The mapping relation includes the corresponding relation between the working parameters and the noise parameters, for example: the correspondence of power and noise value, the correspondence of rotational speed and noise value, the correspondence of power and noise adjustment value, the correspondence of rotational speed and noise adjustment value, and so forth. The corresponding relation can be specifically characterized by a corresponding parameter adjustment weight value, wherein the parameter adjustment weight value is a proportional parameter, namely, the parameter adjustment weight value is a specific numerical value without units. Generally, the higher the value in the noise parameter, the higher the corresponding parameter adjustment weight value; the lower the value in the noise parameter, the lower the corresponding parameter adjustment weight value.

The mapping relationship may be characterized by a relationship curve, for example: when the relation curve is used for measuring the relation between the noise value and the power, the relation curve is positioned in a rectangular coordinate axis, the abscissa is the noise value, and the ordinate is the power adjusting weight value corresponding to the power. After the noise value of the hybrid electric vehicle is obtained, a corresponding power adjustment weight value can be obtained according to the relation curve, and the weight value is a ratio and is used for adjusting the working process of the engine subsequently.

In general, the mapping relation comprises the corresponding relation between the engine operation noise and the noise in the vehicle, and the visual feeling of the personnel in the vehicle on the noise in the vehicle is represented. Therefore, the mapping relationship needs to include various scenes as much as possible in the process of obtaining the mapping relationship, for example: a door open state, a window open state, a trunk open state, a vehicle running state, and the like. In the process of obtaining the mapping relation, the hybrid electric vehicle is required to be arranged in a quiet test scene, so that the influence of other external noise on the mapping relation is reduced.

Step S103, adjusting the weight value according to the determined parameters, adjusting the current working parameters of the engine to obtain adjusted working parameters, and controlling the engine to charge the power battery of the hybrid electric vehicle based on the adjusted working parameters.

And after the parameter adjustment weight value is obtained, adjusting the parameter adjustment weight value and each working parameter of the engine to finally obtain the adjusted working parameter of the engine. These operating parameters likewise include power, torque, rotational speed, etc., as exemplified by power: after the power weight value corresponding to the power is obtained, multiplying the power weight value by the current running power of the engine to obtain the adjusted engine working parameter; if the power adjustment weight corresponding to the power is greater than 1, the current power of the engine is required to be increased, so that the current power value is multiplied by the power weight value to obtain an adjusted engine power value, and the power battery is charged according to the power value. It is worth mentioning that the engine operation noise under the adjusted engine power value is not greater than the noise value corresponding to the noise parameter of the hybrid electric vehicle, that is, the adjusted engine operation noise value is not greater than the noise value which can be perceived by the personnel in the hybrid electric vehicle at this time, so that the power of the engine can be increased under the condition that the personnel in the vehicle does not perceive the noise value, and the power battery is used for charging the power battery. At this time, the operation of the engine is not perceived by the in-vehicle personnel.

And after the adjusted working parameters are obtained, controlling the engine to charge the power battery of the hybrid electric vehicle according to the adjusted working parameters. The specific process can be combined with the charging logic of the hybrid electric vehicle to determine the charging strategy corresponding to the adjusted working parameters. For example, in a hybrid vehicle in which an engine and a motor simultaneously output driving forces, the engine after adjusting the operating parameters may be used not only to charge a power battery but also to drive the vehicle to run; for a hybrid electric vehicle in which the engine is not involved in the output of the driving force and is only used for charging the power battery, the engine after the working parameters are adjusted charges the power battery, and the charging efficiency is as high as possible, so that more electric quantity is stored in the power battery in the optimal fuel speed interval of the engine.

In actual use, when a person in the vehicle adjusts the volume of the sound in the vehicle or adjusts the air volume of the air conditioner in the vehicle, the parameter adjusting weight value is influenced, and then the engine is controlled to charge the power battery according to the parameter adjusting weight value. Under the specific scene, after the volume of sound equipment in the car is adjusted to a certain threshold value by personnel in the car, the engine charges the power battery or improves the charging power of the engine, so that the noise generated when the power battery is charged is submerged in the sound emitted by the sound equipment, and the perception of noise generated by the user on the charging of the power battery is reduced. Similar to the scene of adjusting the sound volume, after the air conditioner air volume in the car is adjusted to a certain threshold value by the user, the engine charges the power battery or improves the charging power of the engine, because the air conditioner air volume can bring more obvious noise in the car, the noise generated during the charging of the engine can be submerged under the noise of the air conditioner air volume, the perception degree of the noise generated during the charging of the power battery by the user can be reduced, and more electric quantity as much as possible can be stored in the power battery.

According to the method for controlling the charging of the hybrid electric vehicle, which is provided by the embodiment, the real-time noise in the vehicle can be associated with the charging process of the engine, so that the noise generated by the engine when the power battery is charged is submerged in the real-time noise in the vehicle, the charging scene of the engine on the power battery is increased, and the charging efficiency of the power battery is improved.

In some embodiments, the step of acquiring noise parameters of the hybrid vehicle in real time includes:

The noise parameter includes both a noise value in the hybrid vehicle and an associated adjustment value in the hybrid vehicle that is capable of generating noise. Common noise values include: noise value generated by audio playing in the car audio, noise value generated in the running process of the air conditioner, noise value generated by speaking of the personnel in the car and the like; common noise adjustment values include: a sound volume value of the car interior sound, an air volume value of the air conditioner, and the like.

The noise value can be realized through an acquisition device arranged in the vehicle, and the noise in the vehicle comprises active noise and passive noise by taking a user as a main body. The active noise is actively emitted by a user, such as speaking voice of the user, controlling the volume value of the sound in the vehicle by the user, adjusting the volume value of the air conditioner in the vehicle by the user, and the like; the passive noise is mainly noise which cannot be controlled by a user, and mainly noise such as wind noise and tire noise from the vehicle.

The collection device for collecting noise in a vehicle is generally provided with a plurality of collection devices, which are mainly arranged in a riding area of a person in the vehicle and are used for restoring the hearing feeling of the user as much as possible. For example, the acquisition device may be deployed in the a, B, C pillar area of the vehicle as close as possible to the head of the person in the vehicle; the acquisition device may also be deployed in the seat headrest area, closer to the ear area of the user. The noise acquired by the plurality of acquisition devices is subjected to superposition calculation to obtain a real-time in-vehicle noise value of the target area; it should be noted that the target area is the head area of the user. The target area can also be determined according to the condition of the vehicle, for example, when only one user is in the driver, the target area is the head area of the driver; if a plurality of passengers are also included, the target area also includes the head area of these passengers.

In a specific scene, the noise parameters obtained in real time are required to be compared with a preset noise parameter threshold value, and parameter adjustment is performed after the comparison result is met. For example, for a noise value in the noise parameters, when the noise value acquired in real time is greater than a preset noise value threshold, a parameter adjustment weight value corresponding to the noise value is obtained based on a mapping relation between the preset noise value and the parameter adjustment weight value.

For example, in a scenario where the noise parameter is a noise adjustment value, if the noise adjustment value is an air volume adjustment value of the air conditioner, when it is detected that the air volume adjustment value of the air conditioner reaches a maximum gear, a parameter adjustment weight value of the hybrid electric vehicle corresponding to the air volume adjustment value is obtained according to the mapping relation. In an actual scene, when detecting that a user adjusts the air quantity of an air conditioner to a maximum gear, executing an acquisition process of a parameter adjustment weight value, adjusting the current working parameter of the engine according to the parameter adjustment weight value, and controlling the engine to charge a power battery of the hybrid electric vehicle.

As can be seen, the judgment condition is added in the process of acquiring the parameter adjustment weight value in the above embodiment, and the process of acquiring the parameter adjustment weight value can be performed only when the condition is satisfied; and if the condition is not met, not executing the acquisition process of the parameter adjustment weight value. Thus, in some embodiments, if the noise parameter is not greater than the preset noise parameter threshold, the parameter adjustment weight value is configured to be 1.

The process of acquiring the parameter adjustment weight value is described below in connection with a specific scenario. If the noise value originates from a scene of music played by the in-car audio, the noise parameter at this time is the noise value. Therefore, in some embodiments, before determining the parameter adjustment weight value of the hybrid vehicle corresponding to the acquired noise parameter based on the mapping relationship between the preset noise parameter and the parameter adjustment weight value, as shown in fig. 2, the method further includes:

step S201, obtaining noise data corresponding to the noise value in a time period from the target time to the current time based on the noise value obtained in real time; the target time is a time before the current time.

The noise value acquired in real time at this time is music played in the sound, and the music includes, but is not limited to, music played from a local audio file in the sound system, music played in the broadcast, music played after the sound is connected through the mobile phone, and the like. The frequency and the loudness of the music are fixed in the playing process, so that the noise generated by the music can be predicted by the music played before to obtain the noise value generated by the future playing of the music, and the obtained noise value is used for obtaining the parameter adjustment weight value.

In the specific implementation process, firstly, the noise data in the previous time period of the current moment is acquired according to the noise value acquired in real time. The noise value may be obtained from a noise value in a period from the target time to the current time, where the target time may be a time 1 minute before the current time, and the corresponding period is a period 1 minute before the current time. Taking music as an example, the obtained noise data is the music piece 1 minute before the current moment.

Step S202, matching the noise data with each preset audio data sample.

After obtaining the noise data, matching the noise data with each audio data sample; specifically, the noise data at the current moment is matched to obtain the audio data from the current moment to the next moment. The audio data samples contain various types of complete audio data, and the complete audio data corresponding to the audio fragments can be obtained through the matching process by the audio fragments in the noise data.

The audio data samples may be stored in a local database or in a web server. In the specific implementation process, the matching process can also be realized by obtaining a relevant music prediction model through the training of the existing convolutional neural network model, and the music prediction model is trained by using each audio data sample in the training process. After the noise data is input into the related music prediction model, the music prediction model can be matched with the complete audio data corresponding to the audio fragment in the noise data.

Step S203, if the matching is successful, obtaining the noise value of the next moment of the current moment according to the matched audio data sample.

And after the matching is successful, obtaining a noise value at the next moment according to the matched audio data sample. It should be noted that the successfully matched audio data samples are essentially predictive of the current sound, resulting in a future output trend of the current sound, which is not exactly the same for music. For example, the audio in the matched audio data samples is female singer singing, and the audio data in the noise data is male singer singing. This matching result does not need to be perfectly accurate, but is merely in nature as a trend of the noise data output in the future, so the timbre of the audio data is not important, but mainly the frequency and loudness of the reference audio data.

After matching is completed on the audio data sample, a noise value at the next moment of the current moment can be obtained; the next time may be a time 1 second after the current time, a time 10 seconds after the current time, or the like. The setting can be specifically performed according to the actual use situation.

After obtaining the noise value at the next moment, determining the parameter adjustment weight value of the hybrid electric vehicle corresponding to the obtained noise parameter based on the mapping relation between the preset noise parameter and the parameter adjustment weight value, wherein the method comprises the following steps:

The noise value at the next moment is basically a prediction result of the current noise value, so that the parameter adjustment weight value of the hybrid electric vehicle corresponding to the noise value is determined according to the obtained noise value at the next moment, and finally the real-time charging is carried out on the power battery charging process of the hybrid electric vehicle. In a scenario where the noise value is from music playing, a schematic diagram of obtaining the parameter adjustment weight value through the noise value at the next moment is shown in fig. 3. The noise value at this time comes from music played by the in-car stereo, and the noise value before the current time can be obtained through the frequency response curve of the music. And matching the music fragments of a period of time before the current moment in real time to obtain an audio curve of the music play after matching, and if the noise value corresponding to the matched audio is larger than a preset noise threshold value, obtaining a corresponding parameter adjustment weight value based on the mapping relation between the noise value and the parameter adjustment weight value, and finally using the parameter adjustment weight value for charging the power battery. Specifically, the current playing music is predicted in real time, and if the noise value corresponding to the music at the next moment exceeds the preset noise threshold value, the working parameters of the engine are adjusted at the moment generated by the noise value, so as to charge the power battery. It should be noted that the noise value generated in the working parameter of the engine at this time is not greater than the noise value at this time, so that the noise value generated when the engine works is hidden in the noise value corresponding to the music.

According to the embodiment, a user can predict music to realize the charge control of the hybrid electric vehicle, the scene of charge control of an engine to a power battery in the hybrid electric vehicle is increased, and the control process has real-time performance.

The noise values in the above embodiments are music files that can be matched or identified, and for some noise values generated in real time, prediction cannot be performed through the matching or identifying process, where the real-time noise value in the current period needs to be taken as the noise value of the next period. Therefore, in some embodiments, when the noise parameter is a noise value, determining the parameter adjustment weight value of the hybrid vehicle corresponding to the obtained noise parameter based on the mapping relationship between the preset noise parameter and the parameter adjustment weight value, as shown in fig. 4, includes:

step S401, determining a noise value acquired in real time in a time period from a target time to a current time as a noise value of a next time of the current time; the target time is a time before the current time.

The noise value is obtained in real time at this time, including but not limited to: noise values generated when a person in a vehicle communicates, and noise values such as tire noise and wind noise generated when the vehicle is traveling, are not predicted, and therefore, it is necessary to collect noise values over a period of time. In a specific implementation process, the target time may be a time 1 minute before the current time, and the corresponding time period is a time period 1 minute before the current time.

Step S402, if the noise value obtained in real time is greater than the preset noise value threshold, determining the parameter adjustment weight value of the hybrid electric vehicle corresponding to the noise value at the next time of the current time based on the mapping relation between the preset noise value and the parameter adjustment weight value.

Judging a noise value obtained in real time and a preset noise threshold value; and if the noise value is larger than the preset threshold value, obtaining the parameter adjustment weight value of the hybrid electric vehicle corresponding to the noise value based on a preset mapping relation. The noise value at this time characterizes the noise value generated in the next period, and in a scenario where the noise data cannot be predicted, the noise value in the current period is taken as the noise value in the next period, and the parameter adjustment weight value corresponding to the noise value in the next period is calculated, as shown in fig. 5. Summarizing the noise value curves before the current moment, namely, the noise value curves in fig. 5 are parts with solid lines; this part of the curve is then taken as the noise curve of the next period, i.e. the part of the noise curve in fig. 5 being a broken line. The portion of the dotted line is identical to the portion of the solid line, indicating that the noise value generated in the next period assumes the noise value of the current period. And obtaining the parameter adjustment weight value of the noise value generated in the next time period based on the preset mapping relation between the noise value and the parameter adjustment weight value. As shown in fig. 5, in the noise value curve after the current time, when the noise value is greater than the preset noise threshold, the corresponding parameter adjustment weight value is greater than 1.0; and when the noise value is not greater than the preset noise threshold value, the corresponding parameter adjusting weight value is 1.0. And after the corresponding parameter adjustment weight value is obtained, the parameter adjustment weight value is finally used for adjusting the parameter of the engine to realize the charging of the power battery. Also, the noise value generated in the operating parameter of the engine at this time is not greater than the noise value at this time.

According to the embodiment, a user can collect the noise values in the current period to realize the charge control of the hybrid electric vehicle, so that the scene of the charge control of the engine to the power battery in the hybrid electric vehicle is increased, and the application range is wider although the control process has certain hysteresis.

In the above examples, the noise values are mapped and the parameter adjustment weight values are finally obtained, and the following description describes an embodiment of using the noise adjustment values to adjust the parameter adjustment weight values. Describing the air conditioner adjusting values in the noise adjusting values, in some embodiments, when the noise parameter is the noise adjusting value, determining the parameter adjusting weight value of the hybrid electric vehicle corresponding to the obtained noise parameter based on the mapping relation between the preset noise parameter and the parameter adjusting weight value, as shown in fig. 6, includes:

step S601, acquiring an air conditioner adjusting value in noise adjusting values; the air conditioner adjusting value is used for adjusting the air quantity and the temperature of an air conditioner in the hybrid electric vehicle.

In an actual scene, after a user starts an air conditioner and sets the air quantity and the temperature of the air conditioner, air with corresponding temperature is generated at an air outlet of the air conditioner in the vehicle, and at the moment, wind noise is generated at the air outlet of the air conditioner; meanwhile, the air conditioner compressor also generates corresponding noise during operation. The noise has a certain relation with the air quantity and the temperature in the air conditioner regulating value; generally, the larger the air quantity in the air conditioner adjusting value is, the larger the wind noise at the air outlet of the air conditioner is; the lower the temperature in the air conditioning adjustment, the more noise the compressor produces.

Step S602, if the air conditioning adjustment value is greater than the preset air conditioning adjustment threshold, determining a parameter adjustment weight value of the hybrid electric vehicle corresponding to the air conditioning adjustment value based on a mapping relationship between the preset air conditioning adjustment value and the parameter adjustment weight.

If the air conditioner adjusting value is larger than the preset air conditioner adjusting threshold value, the noise generated after the air conditioner adjusting value is adjusted is larger, a parameter adjusting weight value corresponding to the air conditioner adjusting value is obtained according to the mapping relation, and the engine is controlled to charge the power battery through the parameter adjusting weight value. Under a specific use scene, a user starts an air conditioner and adjusts the air quantity and the temperature, if the adjusted air quantity and the adjusted temperature are larger than a preset threshold value, a parameter adjustment weight value corresponding to an air conditioner adjustment value is determined according to the mapping relation, and the working parameter of the engine is adjusted by utilizing the parameter adjustment weight value, so that the power battery is finally charged. At this time, the noise value generated in the charging process of the engine under the current working parameters is not larger than the air-conditioning noise value under the air-conditioning adjusting value, so that the noise generated in the charging process is hidden in the air-conditioning noise.

According to the embodiment, a user can adjust the air conditioner, so that the charging control of the hybrid electric vehicle is realized, and the scene of charging control of the engine to the power battery in the hybrid electric vehicle is increased.

In the following description of the scheme of the acoustic adjustment value in the noise adjustment values, in some embodiments, when the noise parameter is the noise adjustment value, the determining, based on the mapping relationship between the preset noise parameter and the parameter adjustment weight value, the parameter adjustment weight value of the hybrid vehicle corresponding to the obtained noise parameter, as shown in fig. 7, includes:

step S701, acquiring an acoustic regulation value in noise regulation values; the sound adjusting value is used for adjusting the audio played in the sound of the hybrid electric vehicle.

In the actual scene, the user is to the governing value that involves when adjusting the stereo set, mainly involves: volume adjustment value, playing style, etc. Specifically, the volume adjustment value is used as a gain value when the sound is played, and the loudness range of the played audio in the sound is directly determined; the playing style parameters mainly set the frequency response curve of the audio in the sound equipment, such as high-frequency, medium-frequency and low-frequency parameter settings, and the parameter settings can be adjusted through a sound equipment setting interface; the play style parameters may also be adjusted by the play mode parameters of the sound, for example: the pop mode, the jazz mode, the heavy bass mode and the like correspond to different playing effects in different modes, finally influence the frequency response curve of the playing audio in the sound equipment, and finally determine the noise generated during the playing of the audio.

It should be noted that the volume adjustment value in this step is to adjust the audio played in the sound equipment, and the sound equipment must have a noise value. The volume adjustment value finally acts on the noise value to form a gain, which can be simply understood as an enlargement or reduction of the noise value.

Step S702, if the sound adjustment value is greater than the preset sound adjustment threshold, determining a parameter adjustment weight value of the hybrid electric vehicle corresponding to the sound adjustment value based on a mapping relationship between the preset sound adjustment value and the parameter adjustment weight.

If the sound adjusting value is larger than the preset sound adjusting threshold, the sound adjusting value indicates that the noise generated after the current sound is adjusted is larger, a parameter adjusting weight value corresponding to the sound adjusting value is obtained according to the mapping relation, and the engine is controlled to charge the power battery through the parameter adjusting weight value. Under a specific use scene, a user adjusts the volume value of the sound, if the adjusted volume value is larger than a preset threshold value, a parameter adjustment weight value corresponding to the volume value of the sound is determined according to the mapping relation, and the working parameter of the engine is adjusted according to the parameter adjustment weight value, so that the power battery is finally charged. At this time, the noise value generated in the charging process of the engine under the current working parameters is not larger than the noise value generated under the volume adjustment value, so that the noise generated in the charging process is hidden in the noise generated by the sound under the volume adjustment value.

According to the embodiment, a user can adjust the sound, so that the charging control of the hybrid electric vehicle is realized, and the scene of charging control of the engine to the power battery in the hybrid electric vehicle is increased.

adjusting the current working parameters of the engine according to the determined parameter adjustment weight values to obtain adjusted working parameters, as shown in fig. 8, including:

step S801, multiplying the parameter adjustment weight value corresponding to the power of the engine by the current power in the current working parameters to obtain the adjusted power.

The parameter adjustment weight value is obtained through a preset mapping relation, and the mapping relation is determined based on the corresponding relation between the weight value corresponding to different working parameters of the engine and different noise parameters. At this time, the operating parameters of the engine include the power of the engine and the rotational speed of the engine, and therefore, the determined parameter adjustment weight value includes a weight value corresponding to the power of the engine and a weight value corresponding to the rotational speed of the engine.

In the specific implementation process, the parameter adjusting weight value corresponding to the power of the engine is multiplied by the current power in the current working parameters to obtain a new power value. The method shows that the power of the current engine is adjusted by utilizing the parameter adjustment weight value on the basis of the current working state of the engine, and the adjusted engine power is obtained.

Step S802, multiplying the parameter adjustment weight value corresponding to the rotation speed of the engine by the current rotation speed in the current working parameters to obtain the adjusted rotation speed.

In the step, the rotation speed of the current engine is adjusted by utilizing the parameter adjustment weight value on the basis of the current working state of the engine, so as to obtain the adjusted rotation speed of the engine.

Step S803, the adjusted power and the adjusted rotation speed are determined as adjusted operation parameters.

The adjusted operating parameters include the adjusted power and the adjusted rotational speed. In the actual implementation process, torque parameters can be added according to the requirements, and the torque is taken as a basic parameter of the engine and is related to power and rotating speed. According to the adjusted power and the adjusted rotating speed of the engine, the torque of the adjusted engine can be directly obtained, and according to the torque value, the power value and the rotating speed value, the charging strategy of the hybrid electric vehicle is utilized to charge the power battery. Because the charging strategies of different types of hybrid electric vehicles are different, the strategies for charging the power battery by the engine using the adjusted power value, rotation speed value and torque value are also different. For example, in a hybrid vehicle in which an engine and a motor simultaneously output driving forces, the engine may be used not only to charge a power battery but also to drive the vehicle to run in an adjusted rotation speed interval; in the case of the extended-range hybrid vehicle, the engine is not involved in the output of the driving force, but is used only for charging the power battery. The engine thus directly charges the power battery upon determining the engine regulated power and the regulated speed. On the premise that the noise generated by the engine does not exceed the noise corresponding to the noise parameter, the charging power of the engine to the power battery is as large as possible, and more electric quantity is charged into the power battery as much as possible.

The following describes a method for controlling the charge of a hybrid vehicle in conjunction with a specific usage scenario, as shown in fig. 9. In the embodiment, the power battery of the hybrid electric vehicle is finally controlled to be charged through the volume adjustment value of the sound. Firstly, the volume adjustment value is obtained in real time, the volume adjustment value at this time can be obtained through a volume control knob in the vehicle-mounted sound equipment, and also can be obtained through a volume control key in the steering wheel, and details are not repeated. After the volume adjustment value is obtained, whether the volume adjustment value is larger than a preset volume adjustment threshold value is judged. The judging process can be executed after the volume is adjusted, namely, when the user adjusts the volume, the judgment can be carried out according to the adjusted volume adjusting value and the preset volume adjusting threshold value. If the volume adjustment threshold is larger than the preset volume adjustment threshold, comparing the volume adjustment value with a mapping curve containing the corresponding relation between the volume adjustment value and the weight value to obtain a rotating speed weight value and a power weight value of the engine; and if the volume adjustment threshold is not greater than the preset volume adjustment threshold, setting the rotating speed weight value and the power weight value to be 1.0.

After obtaining the rotation speed weight value and the power weight value, multiplying the original rotation speed of the engine by the rotation speed weight value to obtain the adjusted rotation speed of the engine; meanwhile, multiplying the original power of the engine by a power weight value to obtain the adjusted engine power; and finally, charging the power battery by using the regulated engine speed and power. In the process, a user can control the engine to charge the power battery by adjusting the volume of the sound equipment. Under the action of a preset volume adjustment threshold and a mapping curve, noise generated in the charging process is covered under the noise generated by the volume adjustment value as much as possible. If the hybrid electric vehicle is a range-extending hybrid power, the engine at the moment is used as a range extender and is only used for charging the power battery. When the range extender of the vehicle does not work, if the user adjusts the volume of the sound at the moment, the sound played by the sound is loud, the range extender is controlled to start to work and charge the power battery. The noise generated in the working process of the range extender is lower than the sound of the sound, the user cannot perceive the working of the range extender in the scene of sound playing, and the charging efficiency is improved on the basis of not affecting the driving experience of the user. If the user adjusts the volume of the sound equipment, the range extender is in a working state, and the working parameters of the range extender are controlled according to the noise value generated after the sound equipment is adjusted, so that the charging efficiency of the power battery is improved on the premise of ensuring the fuel economy, and meanwhile, the noise generated in the working process of the range extender is lower than the sound of the sound equipment.

The above embodiments are based on the fact that the cab of the hybrid vehicle is in a closed state, in particular, in the case of window closing, sunroof closing, trunk closing, etc. In a practical scenario, a user may open a door without flameout, such as: special scenes such as payment, acceptance check and the like, and the charging process needs to be adjusted at the moment. Thus, in some embodiments, after controlling the engine to charge the power battery of the hybrid vehicle, the method further comprises:

When the cab is in a non-closed state, namely, the door is opened, the window is lowered, the trunk is opened or the skylight is opened, the personnel in the cab are sensitive to the sound outside the car, so that the engine is controlled to stop charging the power battery of the car, and the running noise of the engine is prevented from being transmitted into the cab.

In an actual scenario, the user opening the door may be a temporary drive-off handling event, not sensitive to sounds and vibrations generated by the engine; also, in some scenarios, a user may frequently open and close a door for a short period of time, such as to carry things, to frequently get on and off a person, and so on. At this time, if the engine is directly stopped to charge the power battery, frequent starting of the engine is easily caused, and the user experience is affected. Therefore, a timer can be added when the engine charges the power battery; the timer starts to count when the cab is in a non-closed state, and if the duration of the cab in the non-closed state does not exceed a preset duration threshold, the engine is not stopped, and the process of charging the power battery is maintained; and stopping the engine from charging the power battery until the duration of the non-closed state of the cab exceeds a preset duration threshold.

According to the charging control method of the hybrid electric vehicle, which is provided by the embodiment, the real-time noise in the vehicle is associated with the charging process of the engine, so that the noise generated when the engine charges the power battery is hidden in the noise in the vehicle, the NVH problem of the vehicle is relieved, and the driving experience of a user is improved; meanwhile, a scene of controlling the engine to charge the power battery in the hybrid electric vehicle is added, so that the charging efficiency of the power battery is improved.

Corresponding to the above method embodiment, the embodiment of the present invention further provides a charging control system of a hybrid electric vehicle, a schematic structural diagram of which is shown in fig. 10, where the system includes:

the noise parameter obtaining module 1010 is configured to obtain noise parameters of the hybrid electric vehicle in real time;

the charging parameter determining module 1020 is configured to determine a parameter adjustment weight value of the hybrid electric vehicle corresponding to the acquired noise parameter based on a mapping relationship between a preset noise parameter and the parameter adjustment weight value; the mapping relation is based on the corresponding relation between the weight values corresponding to different working parameters of the engine in the hybrid electric vehicle and different noise parameters;

the charging execution module 1030 is configured to adjust a weight value according to the determined parameter, adjust a current operating parameter of the engine, obtain an adjusted operating parameter, and control the engine to charge a power battery of the hybrid electric vehicle based on the adjusted operating parameter.

The charging control system of the hybrid electric vehicle provided by the embodiment of the invention has the same technical characteristics as the charging control method of the hybrid electric vehicle provided by the embodiment, so that the same technical problems can be solved, and the same technical effects can be achieved. For a brief description, reference is made to the corresponding content of the preceding method embodiments, where the examples section is not mentioned.

The embodiment of the invention also provides a hybrid electric vehicle, which at least comprises: an engine, an electric motor and a power battery; an engine for charging the power battery; an electric motor for driving the vehicle; a power battery for providing a driving force to the motor; the steps of the charge control method of the hybrid vehicle as mentioned in the above embodiments are performed when the engine charges the power battery.

The embodiment also provides an electronic device, which is disposed in the hybrid electric vehicle mentioned in the above embodiment, and the structural schematic diagram of the electronic device is shown in fig. 11, and the device includes a processor 101 and a memory 102; the memory 102 is configured to store one or more computer instructions, where the one or more computer instructions are executed by the processor to implement the method for controlling charging of the hybrid vehicle.

The electronic device shown in fig. 11 further comprises a bus 103 and a communication interface 104, the processor 101, the communication interface 104 and the memory 102 being connected by the bus 103.

The memory 102 may include a high-speed random access memory (RAM, random Access Memory), and may further include a non-volatile memory (non-volatile memory), such as at least one magnetic disk memory. Bus 103 may be an ISA bus, a PCI bus, an EISA bus, or the like. The buses may be classified as address buses, data buses, control buses, etc. For ease of illustration, only one bi-directional arrow is shown in FIG. 11, but not only one bus or type of bus.

The communication interface 104 is configured to connect with at least one user terminal and other network units through a network interface, and send the encapsulated IPv4 message or the IPv4 message to the user terminal through the network interface.

The processor 101 may be an integrated circuit chip with signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware in the processor 101 or instructions in the form of software. The processor 101 may be a general-purpose processor, including a central processing unit (Central Processing Unit, CPU for short), a network processor (Network Processor, NP for short), etc.; but also digital signal processors (Digital Signal Processor, DSP for short), application specific integrated circuits (Application Specific Integrated Circuit, ASIC for short), field-programmable gate arrays (Field-Programmable Gate Array, FPGA for short) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components. The various methods, steps and logic blocks of the disclosure in the embodiments of the disclosure may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in connection with the embodiments of the present disclosure may be embodied directly in hardware, in a decoded processor, or in a combination of hardware and software modules in a decoded processor. The software modules may be located in a random access memory, flash memory, read only memory, programmable read only memory, or electrically erasable programmable memory, registers, etc. as well known in the art. The storage medium is located in the memory 102, and the processor 101 reads information in the memory 102, and in combination with its hardware, performs the steps of the method of the previous embodiment.

In the several embodiments provided in this application, it should be understood that the disclosed systems, devices, and methods may be implemented in other ways. The above-described apparatus embodiments are merely illustrative, for example, the division of the units is merely a logical function division, and there may be other manners of division in actual implementation, and for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some communication interface, indirect coupling or communication connection of devices or units, electrical, mechanical, or other form.

The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.

The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a non-volatile computer readable storage medium executable by a processor. Based on this understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.

Finally, it should be noted that: the above examples are only specific embodiments of the present invention, and are not intended to limit the scope of the present invention, but it should be understood by those skilled in the art that the present invention is not limited thereto, and that the present invention is described in detail with reference to the foregoing examples: any person skilled in the art may modify or easily conceive of the technical solution described in the foregoing embodiments, or perform equivalent substitution of some of the technical features, while remaining within the technical scope of the present disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention, and are intended to be included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims

1. A method of controlling charging of a hybrid vehicle, the method comprising:

acquiring noise parameters of the hybrid electric vehicle in real time;

adjusting a weight value according to the determined parameter, adjusting the current working parameter of the engine to obtain an adjusted working parameter, and controlling the engine to charge a power battery of the hybrid electric vehicle based on the adjusted working parameter, wherein the running noise value generated by the engine controlled by the adjusted working parameter is not greater than the noise parameter;

the method for determining the parameter adjustment weight value of the hybrid electric vehicle corresponding to the acquired noise parameter based on the mapping relation between the preset noise parameter and the parameter adjustment weight value comprises the following steps:

If the noise parameter is larger than a preset noise parameter threshold, determining a parameter adjustment weight value of the hybrid electric vehicle corresponding to the acquired noise parameter based on a mapping relation between the preset noise parameter and the parameter adjustment weight value;

when the noise parameter is a noise value, determining the parameter adjustment weight value of the hybrid electric vehicle corresponding to the obtained noise parameter based on a mapping relation between the preset noise parameter and the parameter adjustment weight value, including:

determining a noise value acquired in real time in a time period from a target time to a current time as a noise value of a next time of the current time; the target time is a time before the current time;

if the noise value acquired in real time is larger than a preset noise value threshold, determining a parameter adjustment weight value of the hybrid electric vehicle corresponding to the noise value at the next moment of the current moment based on a mapping relation between the preset noise value and the parameter adjustment weight value;

wherein after controlling the engine to charge the power battery of the hybrid electric vehicle, the method further comprises:

when detecting that the cab of the hybrid electric vehicle is in a non-closed state, controlling the engine to stop charging a power battery of the hybrid electric vehicle; or alternatively, the process may be performed,

And when the duration that the cab of the hybrid electric vehicle is in the non-closed state exceeds a preset duration threshold, controlling the engine to stop charging the power battery of the hybrid electric vehicle.

2. The method of claim 1, wherein acquiring noise parameters of the hybrid vehicle in real time comprises:

and acquiring a noise value generated by a noise source in a cab of the hybrid electric vehicle in real time, and acquiring a noise regulating value for regulating the working state of the noise source in real time.

3. The method of claim 1, wherein the parameter adjustment weight value is configured to be 1 if the noise parameter is not greater than the preset noise parameter threshold.

4. The method according to claim 1, wherein when the noise parameter is a noise adjustment value, determining the parameter adjustment weight value of the hybrid vehicle corresponding to the obtained noise parameter based on a mapping relationship between a preset noise parameter and a parameter adjustment weight value, includes:

And if the air conditioner adjusting value is larger than a preset air conditioner adjusting threshold value, determining the parameter adjusting weight value of the hybrid electric vehicle corresponding to the air conditioner adjusting value based on the mapping relation between the preset air conditioner adjusting value and the parameter adjusting weight.

5. The method according to claim 1, wherein when the noise parameter is a noise adjustment value, determining the parameter adjustment weight value of the hybrid vehicle corresponding to the obtained noise parameter based on a mapping relationship between a preset noise parameter and a parameter adjustment weight value, includes:

and if the sound adjusting value is larger than a preset sound adjusting threshold value, determining the parameter adjusting weight value of the hybrid electric vehicle corresponding to the sound adjusting value based on the mapping relation between the preset sound adjusting value and the parameter adjusting weight.

6. The method of claim 1, wherein the operating parameters of the engine include power of the engine and rotational speed of the engine;

adjusting the current working parameters of the engine according to the determined parameter adjusting weight values to obtain adjusted working parameters, wherein the adjusting working parameters comprise:

Multiplying a parameter adjusting weight value corresponding to the power of the engine with the current power in the current working parameters to obtain adjusted power;

multiplying a parameter adjusting weight value corresponding to the rotating speed of the engine with the current rotating speed in the current working parameters to obtain an adjusted rotating speed;

7. A charge control system for a hybrid vehicle, the system comprising:

the charging parameter determining module is used for determining the parameter adjustment weight value of the hybrid electric vehicle corresponding to the acquired noise parameter based on the mapping relation between the preset noise parameter and the parameter adjustment weight value; the mapping relation is based on the corresponding relation between the weight values corresponding to different working parameters of the engine in the hybrid electric vehicle and different noise parameters; the noise parameters in the mapping relation and the corresponding parameter adjustment weight values are in positive correlation;

the charging execution module is used for adjusting the current working parameters of the engine according to the determined parameters to obtain adjusted working parameters, controlling the engine to charge the power battery of the hybrid electric vehicle based on the adjusted working parameters, wherein the running noise value generated by the engine controlled by the adjusted working parameters is not greater than the noise parameter;

The charging parameter determining module is specifically configured to:

when the noise parameter is a noise value, the charging parameter determining module is further specifically configured to:

wherein the system further comprises: a control unit;

the control unit is used for:

after controlling the engine to charge the power battery of the hybrid electric vehicle, when detecting that the cab of the hybrid electric vehicle is in a non-closed state, controlling the engine to stop charging the power battery of the hybrid electric vehicle; or alternatively, the process may be performed,

8. A hybrid vehicle, characterized in that it comprises at least: an engine, an electric motor, a power battery, a storage medium, and a processor;

the engine is used for charging the power battery;

the motor is used for driving the hybrid electric vehicle;

the power battery is used for providing driving force for the motor;

the storage medium is used for storing program instructions;

the processor is configured to call the program instructions stored in the storage medium when the engine charges the power battery, and execute the charge control method of the hybrid vehicle according to any one of the above claims 1 to 6 according to the obtained program instructions.