CN114670647A

CN114670647A - Processing method, controller, system and vehicle for estimating energy consumption of motor

Info

Publication number: CN114670647A
Application number: CN202110458340.9A
Authority: CN
Inventors: 何畅然; 张蓝文; 梁海强; 陈萍
Original assignee: Beijing Electric Vehicle Co Ltd
Current assignee: Beijing Electric Vehicle Co Ltd
Priority date: 2021-04-27
Filing date: 2021-04-27
Publication date: 2022-06-28

Abstract

The application provides a processing method, a controller, a system and a vehicle for estimating energy consumption of a motor, wherein the processing method comprises the following steps: periodically acquiring navigation information, vehicle state information and a historical driving style coefficient and historical motor energy consumption relation table stored in a vehicle; obtaining a target driving style coefficient of the vehicle according to the whole vehicle state information and the historical driving style coefficient; according to the whole vehicle state information, the target driving style coefficient and the historical motor energy consumption relation table, acquiring target motor energy consumption corresponding to each target average vehicle speed section in the navigation information when the vehicle is in the target driving style coefficient; and obtaining the total motor energy consumption required by the remaining mileage according to the target mileage corresponding to each target average speed section and the target motor energy consumption. In conclusion, the influence of the driving style and the road condition, namely the average speed section, on the motor energy consumption is comprehensively considered, and the accuracy of the obtained total motor energy consumption is favorably ensured.

Description

Processing method, controller, system and vehicle for estimating energy consumption of motor

Technical Field

The application relates to the technical field of electric automobiles, in particular to a processing method, a controller, a system and a vehicle for estimating motor energy consumption.

Background

In the prior art, when estimating the energy consumption of the vehicle driving motor, the energy consumption of the motor in a period of mileage or time is generally calculated in a general manner and is used as an estimation basis for the energy consumption of the motor in the remaining mileage, or only the influence of the driving style or the future road state on the energy consumption of the motor in the remaining mileage is considered during estimation, and because the influence of the driving style and the future road condition on the energy consumption of the motor is not comprehensively considered, the difference between the estimated value and the actual value of the energy consumption of the motor in the remaining mileage is larger, and the accurate estimation of the energy consumption of the motor in the remaining mileage is influenced.

Disclosure of Invention

The technical purpose to be achieved by the embodiment of the application is to provide a processing method, a controller, a system and a vehicle for estimating the energy consumption of a motor, so as to solve the problem that the estimation accuracy of the energy consumption of the motor in the remaining mileage is low at present.

In order to solve the above technical problem, an embodiment of the present application provides a processing method for estimating energy consumption of a motor, including:

the method comprises the steps that navigation information, whole vehicle state information, historical driving style coefficients and a historical motor energy consumption relation table stored in a vehicle are obtained periodically, and the corresponding relation between an average vehicle speed section and the driving style coefficients and unit motor energy consumption is recorded in the historical motor energy consumption relation table;

Obtaining a target driving style coefficient of the vehicle according to the state information of the whole vehicle and the historical driving style coefficient;

according to the whole vehicle state information, the target driving style coefficient and the historical motor energy consumption relation table, acquiring target motor energy consumption corresponding to each target average vehicle speed section in the navigation information when the vehicle is in the target driving style coefficient;

determining a target mileage corresponding to each target average speed section in the remaining mileage according to the navigation information;

and obtaining the total motor energy consumption required by the remaining mileage according to the target mileage corresponding to each target average speed section and the target motor energy consumption.

Specifically, the processing method for estimating the motor energy consumption as described above, wherein the step of obtaining the target driving style coefficient of the vehicle according to the vehicle state information and the historical driving style coefficient, includes:

when the whole vehicle state information indicates that the current driving mileage of the vehicle in the driving mode after the vehicle is powered on at this time is an integral multiple of the unit mileage, acquiring a current driving style coefficient in the current unit mileage;

and obtaining a target driving style coefficient according to the current driving style coefficient and the historical driving style coefficient, and updating the historical driving style coefficient according to the target driving style coefficient.

Preferably, in the processing method for estimating the energy consumption of the motor as described above, the step of obtaining the current driving style coefficient within the current unit mileage includes:

acquiring first operation data of the vehicle within the current unit mileage, wherein the first operation data comprises: the average opening degree of a brake pedal during braking of the vehicle within a unit mileage, the braking times within the unit mileage, the average opening degree of an accelerator pedal during acceleration of the vehicle within the unit mileage, and the average vehicle speed within the unit mileage;

and obtaining the current driving style coefficient of the current unit mileage according to the first operation data and a preset mapping relation.

Further, the processing method for estimating the energy consumption of the motor as described above, wherein the step of obtaining the target driving style coefficient according to the current driving style and the historical driving style coefficient, includes:

acquiring a preset first weight corresponding to the current driving style coefficient and a preset second weight corresponding to the historical driving style coefficient;

and according to the first weight and the second weight, performing weighted calculation on the current driving style coefficient and the historical driving style coefficient to obtain a target driving style coefficient.

Specifically, the processing method for estimating the energy consumption of the motor as described above, wherein the step of obtaining the target driving style coefficient of the vehicle according to the vehicle state information and the historical driving style coefficient, includes:

And when the whole vehicle state information indicates that the vehicle is in a non-driving mode or the current driving mileage in the driving mode after the power-on is not integral multiple of the unit mileage, taking the historical driving style coefficient as a target driving style coefficient.

Preferably, the processing method for estimating the energy consumption of the motor as described above, when determining that the vehicle is in the target driving style coefficient according to the vehicle state information, the target driving style coefficient and the historical motor energy consumption relation table, the step of determining the target motor energy consumption corresponding to each target average speed section in the navigation information includes:

when the whole vehicle state information indicates that the current driving mileage of the vehicle in the driving mode after the vehicle is powered on at this time is an integral multiple of the unit mileage, acquiring the current unit motor energy consumption corresponding to the average speed in the current unit mileage and the target driving style coefficient, and updating the historical motor energy consumption relation table;

and acquiring target unit motor energy consumption corresponding to each target average speed section when the vehicle is in the target driving style coefficient from the updated historical motor energy consumption relation table.

Specifically, the processing method for estimating the energy consumption of the motor as described above obtains the current unit motor energy consumption corresponding to the average vehicle speed and the target driving style coefficient within the current unit mileage, and the step of updating the historical motor energy consumption relation table includes:

Obtaining second operational data of the vehicle, the second operational data comprising: calculating the period, the time consumed by unit mileage, the voltage of a motor direct current bus, the current of the motor direct current bus and the unit mileage;

obtaining the current unit motor energy consumption and the average vehicle speed in the current unit mileage according to the second operation data;

acquiring corresponding historical unit motor energy consumption from a historical motor energy consumption relation table according to the target driving style coefficient and the average speed in the current unit mileage;

and determining the target unit motor energy consumption according to the current unit motor energy consumption and the historical unit motor energy consumption, and updating the historical motor energy consumption relation table according to the target unit motor energy consumption.

Further, the processing method for estimating the motor energy consumption as described above, wherein the step of determining the target unit motor energy consumption according to the current unit motor energy consumption and the historical unit motor energy consumption includes:

acquiring a preset third weight corresponding to the current unit motor energy consumption and a preset fourth weight corresponding to the historical unit motor energy consumption;

and according to the third weight and the fourth weight, performing weighted calculation on the current unit motor energy consumption and the historical unit motor energy consumption to obtain the target unit motor energy consumption.

Specifically, the processing method for estimating the energy consumption of the motor as described above, according to the vehicle state information, the target driving style coefficient and the historical motor energy consumption relation table, the step of obtaining the target motor energy consumption corresponding to each target average speed section in the navigation information when the vehicle is in the target driving style coefficient, includes:

when the whole vehicle state information indicates that the vehicle is in a non-driving mode or the current driving mileage in the driving mode after the vehicle is powered on this time is not integral multiple of the unit mileage, the target unit motor energy consumption corresponding to each target average speed section when the vehicle is in the target driving style coefficient is obtained from the historical motor energy consumption relation table.

Another preferred embodiment of the present application also provides a controller including:

the system comprises an acquisition module, a storage module and a control module, wherein the acquisition module is used for periodically acquiring navigation information, whole vehicle state information, historical driving style coefficients stored in a vehicle and a historical motor energy consumption relation table, and the historical motor energy consumption relation table is recorded with the corresponding relation between an average vehicle speed section and the driving style coefficients and unit motor energy consumption;

the first processing module is used for obtaining a target driving style coefficient of the vehicle according to the whole vehicle state information and the historical driving style coefficient;

The second processing module is used for acquiring target motor energy consumption corresponding to each target average speed section in the navigation information when the vehicle is in the target driving style coefficient according to the whole vehicle state information, the target driving style coefficient and the historical motor energy consumption relation table;

the third processing module is used for determining a target mileage corresponding to each target average speed section in the remaining mileage according to the navigation information;

and the fourth processing module is used for obtaining the total motor energy consumption required by the remaining mileage according to the target mileage corresponding to each target average speed section and the target motor energy consumption.

Specifically, the controller, the first processing module, as described above, includes:

the first sub-processing module is used for acquiring a current driving style coefficient in a current unit mileage when the whole vehicle state information indicates that the current driving mileage of the vehicle in a driving mode after the vehicle is powered on at this time is an integral multiple of the unit mileage;

and the second sub-processing module is used for obtaining a target driving style coefficient according to the current driving style coefficient and the historical driving style coefficient, and updating the historical driving style coefficient according to the target driving style coefficient.

Preferably, the controller, the first sub-processing module, as described above, includes:

The first acquisition unit is used for acquiring first operation data of the vehicle within the current unit mileage, and the first operation data comprises: the average opening degree of a brake pedal when the vehicle is braked within a unit mileage, the number of times of braking within a unit mileage, the average opening degree of an accelerator pedal when the vehicle is accelerated within a unit mileage, and the average vehicle speed within a unit mileage;

and the first processing unit is used for obtaining the current driving style coefficient of the current unit mileage according to the first operation data and a preset mapping relation.

Further, as described above, the processing method for estimating the energy consumption of the motor, the second sub-processing module includes:

the second acquisition unit is used for acquiring a preset first weight corresponding to the current driving style coefficient and a preset second weight corresponding to the historical driving style coefficient;

and the second processing unit is used for carrying out weighted calculation on the current driving style coefficient and the historical driving style coefficient according to the first weight and the second weight to obtain a target driving style coefficient.

Specifically, as described above, the first processing module further includes:

and the third sub-processing module is used for taking the historical driving style coefficient as the target driving style coefficient when the whole vehicle state information indicates that the vehicle is in a non-driving mode or the current driving mileage in the driving mode after the power-on is not integral multiple of the unit mileage.

Preferably, the controller as described above, the second processing module, comprises:

the fourth sub-processing module is used for acquiring the current unit motor energy consumption corresponding to the average speed and the target driving style coefficient in the current unit mileage and updating the historical motor energy consumption relation table when the whole vehicle state information indicates that the current driving mileage of the vehicle in the driving mode after the vehicle is powered on at this time is an integral multiple of the unit mileage;

and the fifth sub-processing module is used for acquiring the target unit motor energy consumption corresponding to each target average speed section when the vehicle is in the target driving style coefficient from the updated historical motor energy consumption relation table.

Specifically, as the controller, the fourth sub-processing module includes:

a third acquisition unit configured to acquire second operation data of the vehicle, the second operation data including: calculating the period, the time consumed by unit mileage, the voltage of a motor direct current bus, the current of the motor direct current bus and the unit mileage;

the third processing unit is used for obtaining the current unit motor energy consumption and the average speed in the current unit mileage according to the second operation data;

the fourth processing unit is used for acquiring corresponding historical unit motor energy consumption from the historical motor energy consumption relation table according to the target driving style coefficient and the average vehicle speed in the current unit mileage;

And the fifth processing unit is used for determining the target unit motor energy consumption according to the current unit motor energy consumption and the historical unit motor energy consumption, and updating the historical motor energy consumption relation table according to the target unit motor energy consumption.

Further, as the controller mentioned above, the fifth sub-processing module includes:

the fourth acquiring unit is used for acquiring a preset third weight corresponding to the current unit motor energy consumption and a preset fourth weight corresponding to the historical unit motor energy consumption;

and the sixth processing unit is used for performing weighted calculation on the current unit motor energy consumption and the historical unit motor energy consumption according to the third weight and the fourth weight to obtain the target unit motor energy consumption.

Specifically, the controller, the second processing module, as described above, includes:

Still another preferred embodiment of the present application further provides a control system for estimating energy consumption of a motor, including: the information acquisition device and as above the controller, the controller is connected with the information acquisition device respectively.

Still another preferred embodiment of the present application provides a vehicle including a control system for estimating energy consumption of an electric machine as described above.

Another preferred embodiment of the present application also provides a readable storage medium, on which a computer program is stored, which, when being executed by a processor, realizes the steps of the processing method for estimating the energy consumption of a motor as described above.

Compared with the prior art, the processing method, the controller, the system and the vehicle for estimating the motor energy consumption provided by the embodiment of the application have the following beneficial effects at least:

according to the method and the device, when the total motor energy consumption required by the remaining mileage is estimated, different driving styles are represented by different driving style coefficients, the target unit motor energy consumption corresponding to each target average speed section in the navigation information when the target driving style coefficient is obtained through the target driving style coefficient based on self-adaption, the total motor energy consumption in the remaining mileage is calculated based on the target unit motor energy consumption, the influence of the driving style and the road condition, namely the average speed section on the motor energy consumption is comprehensively considered, and the accuracy of the obtained total motor energy consumption is favorably ensured.

Drawings

FIG. 1 is a schematic flow chart of a processing method for estimating the energy consumption of a motor in the present application;

FIG. 2 is a second schematic flow chart of a processing method for estimating motor energy consumption according to the present application;

FIG. 3 is a third schematic flow chart of a processing method for estimating the energy consumption of the motor in the present application;

FIG. 4 is a fourth schematic flow chart of a processing method for estimating the energy consumption of the motor in the present application;

FIG. 5 is a fifth flowchart illustrating a processing method for estimating energy consumption of a motor according to the present application;

FIG. 6 is a sixth schematic flow chart of a processing method for estimating motor energy consumption in the present application;

FIG. 7 is a seventh schematic flow chart of a processing method for estimating motor energy consumption in the present application;

fig. 8 is a schematic structural diagram of a controller according to the present application.

Detailed Description

To make the technical problems, technical solutions and advantages to be solved by the present application clearer, the following detailed description is made with reference to the accompanying drawings and specific embodiments. In the following description, specific details such as specific configurations and components are provided only to help the embodiments of the present application be fully understood. Accordingly, it will be apparent to those skilled in the art that various changes and modifications may be made to the embodiments described herein without departing from the scope and spirit of the present application. In addition, descriptions of well-known functions and constructions are omitted for clarity and conciseness.

It should be appreciated that reference throughout this specification to "one embodiment" or "an embodiment" means that a particular feature, structure or characteristic described in connection with the embodiment is included in at least one embodiment of the present application. Thus, the appearances of the phrases "in one embodiment" or "in an embodiment" in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, the particular features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.

In various embodiments of the present application, it should be understood that the sequence numbers of the following processes do not mean the execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.

It should be understood that the term "and/or" herein is merely one type of association relationship that describes an associated object, meaning that three relationships may exist, e.g., a and/or B may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter associated objects are in an "or" relationship.

In the embodiments provided herein, it should be understood that "B corresponding to a" means that B is associated with a from which B can be determined. It should also be understood that determining B from a does not mean determining B from a alone, but may be determined from a and/or other information.

Referring to fig. 1, a preferred embodiment of the present application provides a processing method for estimating energy consumption of a motor, including:

step S101, navigation information, vehicle state information, historical driving style coefficients stored in a vehicle and a historical motor energy consumption relation table are periodically acquired, and the corresponding relation between an average vehicle speed section and the driving style coefficients and unit motor energy consumption is recorded in the historical motor energy consumption relation table;

step S102, obtaining a target driving style coefficient of the vehicle according to the whole vehicle state information and the historical driving style coefficient;

step S103, acquiring target motor energy consumption corresponding to each target average speed section in the navigation information when the vehicle is in the target driving style coefficient according to the whole vehicle state information, the target driving style coefficient and the historical motor energy consumption relation table;

step S104, determining a target mileage corresponding to each target average speed section in the remaining mileage according to the navigation information;

and S105, obtaining the total motor energy consumption required by the remaining mileage according to the target mileage and the target motor energy consumption corresponding to each target average speed section.

In a preferred embodiment of the present invention, in order to estimate the total motor energy consumption of the vehicle in the remaining mileage during the driving process of the vehicle, the unit motor energy consumption of the vehicle needs to be acquired, in this embodiment, in order to comprehensively consider the driving behavior of the driver and the influence of different road conditions on the unit motor energy consumption to ensure the accuracy of the acquired unit motor energy consumption, the entire vehicle state information, the historical driving style coefficient and the historical motor energy consumption table stored in the vehicle are periodically acquired according to the acquisition period, the target driving coefficient for representing the subsequent driving style reference of the vehicle can be determined adaptively according to the entire vehicle state information and the historical driving style coefficient, and the corresponding relationship between the average vehicle speed segment and the driving coefficient recorded in the historical motor energy consumption relationship table and the unit motor energy consumption according to the target driving style coefficient and the entire vehicle state information, and when the target motor energy consumption corresponding to each target average speed section in the navigation information is determined and used for representing that the vehicle is located in the target driving style coefficient subsequently, the total motor energy consumption required by the remaining mileage can be obtained according to the target mileage corresponding to each target average speed section and the target unit motor energy consumption in the remaining mileage determined from the navigation information.

Wherein the historical driving style coefficients described herein are used to represent the driving style of the vehicle. The historical driving style coefficient and the historical motor energy consumption relation table acquired in the first acquisition period when the vehicle is just powered on are data stored when the vehicle is powered off last time, namely the data when the vehicle is powered off last time are taken as initial data, and the historical driving style coefficient and the historical motor energy consumption relation table acquired in other acquisition periods are data stored in the last acquisition period, so that the fact that the vehicle is stopped and flamed out for a short time in the driving process cannot cause great influence on the whole process is favorably ensured.

In summary, when the total motor energy consumption required by the remaining mileage is estimated, different driving styles are represented by different driving style coefficients, the target unit motor energy consumption corresponding to each target average speed section in the navigation information is obtained when the target driving style coefficient is obtained through the target driving style coefficient based on self-adaption, the total motor energy consumption in the remaining mileage is calculated based on the target unit motor energy consumption, the influence of the driving style and the road condition, namely the average speed section, on the motor energy consumption is comprehensively considered, and the accuracy of the obtained total motor energy consumption is favorably ensured.

Optionally, the unit motor energy consumption is preferably one hundred kilometers of motor energy consumption.

Referring to fig. 2, in particular, the step S102 of obtaining the target driving style coefficient of the vehicle according to the vehicle state information and the historical driving style coefficient by the processing method for estimating the energy consumption of the motor as described above includes:

step S201, when the whole vehicle state information indicates that the current driving mileage of the vehicle in the driving mode after the vehicle is electrified at this time is an integral multiple of the unit mileage, acquiring a current driving style coefficient in the current unit mileage;

and step S202, obtaining a target driving style coefficient according to the current driving style coefficient and the historical driving style coefficient, and updating the historical driving style coefficient according to the target driving style coefficient.

In a specific embodiment of the application, when the step of obtaining the target driving style coefficient according to the vehicle state information and the historical driving style coefficient is executed, it is determined whether the historical driving style coefficient needs to be updated according to the vehicle state information, so that the historical driving style coefficient is more suitable for the current driving style. At this time, if the whole vehicle state information indicates that the current driving mileage of the vehicle in the driving mode after the vehicle is powered on at this time is an integral multiple of the unit mileage, it indicates that the vehicle has driven the unit mileage in the current driving style, and the driving style at this time is representative, so that the current driving style coefficient of the unit mileage is obtained to update the historical driving style coefficient, and the target driving style of the vehicle in the subsequent driving process can be predicted more accurately. When the target driving style coefficient is obtained, the current driving style coefficient and the historical driving style coefficient are comprehensively considered, so that accidental errors caused by overlarge difference between the current driving style coefficient and the historical driving style coefficient and further the condition that the difference between two continuous prediction results of the total motor energy consumption is large are avoided, and smooth transition in prediction is guaranteed. And updating the target driving style coefficient to be a historical driving style coefficient, which is beneficial to ensuring that the historical driving style coefficient acquired in the next acquisition period is the target driving style coefficient.

Referring to fig. 3, preferably, the step S201 of obtaining the current driving style coefficient within the current unit mileage according to the processing method for estimating the energy consumption of the motor includes:

step S301, acquiring first operation data of the vehicle in the current unit mileage, wherein the first operation data comprises: the average opening degree of a brake pedal when the vehicle is braked within a unit mileage, the number of times of braking within a unit mileage, the average opening degree of an accelerator pedal when the vehicle is accelerated within a unit mileage, and the average vehicle speed within a unit mileage;

and step S302, obtaining the current driving style coefficient of the current unit mileage according to the first operation data and a preset mapping relation.

In a preferred embodiment of the present application, when the step of obtaining the current driving style coefficient within the current unit mileage is performed, the first operation data of the vehicle within the current unit mileage is obtained, and then the current driving style of the range mileage can be obtained according to the first operation data and a preset mapping relationship. Specifically, the first operation data is acquired from a brake pedal signal, an accelerator pedal signal, a vehicle speed signal, and the like that reflect the driving behavior of the driver, and the average opening degree of the brake pedal when the vehicle is braked within a unit mileage, the number of times of braking within a unit mileage, the average opening degree of the accelerator pedal when the vehicle is accelerated within a unit mileage, and the average vehicle speed within a unit mileage are described as examples in the present application. And then obtaining the current driving style coefficient of the current unit mileage according to the first operation data and a preset mapping relation. The mapping relationship is a function, which can be embodied in the form of a preset algorithm, a table, a neural network, and the like.

Referring to fig. 4, further, the step S302 of obtaining the target driving style coefficient according to the current driving style and the historical driving style coefficient by the processing method for estimating the energy consumption of the motor as described above includes:

step S401, acquiring a preset first weight corresponding to a current driving style coefficient and a preset second weight corresponding to a historical driving style coefficient;

and S402, performing weighted calculation on the current driving style coefficient and the historical driving style coefficient according to the first weight and the second weight to obtain a target driving style coefficient.

In another embodiment of the present application, when the step of obtaining the target driving style coefficient according to the current driving style and the historical driving style coefficient is performed, it is preferable to perform a weighted calculation on the current driving style coefficient and the historical driving style coefficient, wherein, in order to avoid an excessive influence of the current driving style coefficient on the obtained target driving style coefficient, when a first weight corresponding to the current driving style coefficient is preset, the first weight should be smaller than a second weight corresponding to the historical driving style coefficient, and a sum of the first weight and the second weight is one. Wherein, in one embodiment, the current driving style factor preferably has a first weight less than or equal to twenty-five percent.

In another specific embodiment of the present application, when the step of obtaining the target driving style coefficient of the vehicle according to the entire vehicle state information and the historical driving style coefficient is executed, if the current entire vehicle state information indicates that the vehicle is in the non-driving mode, or when the current driving mileage in the driving mode after the power-on is not an integral multiple of the unit mileage, it may be determined that the driver is not driving the vehicle currently, and the driving style is not affected at this time.

Referring to fig. 5, preferably, in the processing method for estimating the motor energy consumption as described above, the step S103 of determining that the vehicle is in the target driving style coefficient according to the vehicle state information, the target driving style coefficient and the historical motor energy consumption relation table, where the target motor energy consumption corresponding to each target average vehicle speed section in the navigation information includes:

Step S501, when the whole vehicle state information indicates that the current driving mileage of the vehicle in the driving mode after the vehicle is powered on at this time is an integral multiple of a unit mileage, obtaining the current unit motor energy consumption corresponding to the average speed in the current unit mileage and the target driving style coefficient, and updating a historical motor energy consumption relation table;

and step S502, acquiring target unit motor energy consumption corresponding to each target average speed section when the vehicle is in the target driving style coefficient from the updated historical motor energy consumption relation table.

In another preferred embodiment of the present application, when only the step of determining that the vehicle is in the target driving style coefficient and the target motor energy consumption corresponding to each target average speed section in the navigation information is executed according to the vehicle state information, the target driving style coefficient and the historical motor energy consumption relation table, it is determined whether the historical motor energy consumption relation table needs to be updated according to the vehicle state information, so as to make the historical motor energy consumption relation table more conform to the current driving style. At this time, if the whole vehicle state information indicates that the current driving mileage of the vehicle in the driving mode after the vehicle is powered on is an integral multiple of the unit mileage, it indicates that the vehicle has driven the unit mileage in the current driving style, the motor energy consumption at this time is representative, and then the current unit motor energy consumption corresponding to the average vehicle speed in the unit mileage and the target driving style coefficient is obtained, and then the historical motor energy consumption relation table is updated according to the current unit motor energy consumption, and the target unit motor energy consumption corresponding to each target average vehicle speed section in the target driving style coefficient is obtained from the updated historical motor energy consumption relation table, so that the accuracy of the target unit motor energy consumption corresponding to the average vehicle speed in the current unit mileage and the target driving style coefficient in the subsequent driving process of the vehicle can be more accurately predicted. The historical motor energy consumption relation table is updated only after the mileage of the vehicle is achieved, accuracy of the obtained unit motor energy consumption of the target is guaranteed, and accidental errors are reduced or even avoided.

Referring to fig. 6, in particular, the step S501 of obtaining the current unit motor energy consumption corresponding to the average vehicle speed and the target driving style coefficient within the current unit mileage and updating the historical motor energy consumption relation table according to the processing method for estimating the motor energy consumption includes:

step S601, obtaining second operation data of the vehicle, the second operation data including: calculating the period, the time consumed by unit mileage, the voltage of a motor direct current bus, the current of the motor direct current bus and the unit mileage;

step S602, obtaining the current unit motor energy consumption and the average speed in the current unit mileage according to the second operation data;

step S603, acquiring corresponding historical unit motor energy consumption from a historical motor energy consumption relation table according to the target driving style coefficient and the average vehicle speed in the current unit mileage;

and step S604, determining the energy consumption of the target unit motor according to the current unit motor energy consumption and the historical unit motor energy consumption, and updating the historical motor energy consumption relation table according to the energy consumption of the target unit motor.

In another embodiment of the application, when the step of obtaining the current unit motor energy consumption corresponding to the average vehicle speed and the target driving style coefficient in the current unit mileage and updating the historical motor energy consumption relation table is executed, the second operation data of the vehicle is obtained firstly, and then the current unit motor energy consumption and the average vehicle speed in the current unit mileage can be obtained according to the second operation data; specifically, the second operation data is obtained according to a voltage signal, a current signal, a time signal, a mileage signal and the like which reflect the energy consumption of the motor, and in the present application, a calculation period, a unit mileage elapsed time, a motor dc bus voltage, a motor dc bus current, and a unit mileage are exemplified, where the current unit motor energy consumption obtained according to the second operation data may be specifically embodied in a form of a calculation formula according to a preset functional relationship. When the average vehicle speed in the current unit mileage is obtained, the average vehicle speed can be determined according to the unit mileage and the consumed time of the unit mileage, and can also be obtained according to the vehicle speed signal of the vehicle; the corresponding average vehicle speed section can be determined according to the average vehicle speed, and the corresponding historical unit motor energy consumption can be obtained from the historical motor energy consumption relation table according to the target driving style coefficient and the corresponding average vehicle speed section; and then the target unit motor energy consumption can be determined according to the current unit motor energy consumption and the historical unit motor energy consumption. Meanwhile, in order to ensure that the historical unit motor energy consumption acquired in the subsequent acquisition period is the latest historical unit motor energy consumption, the historical motor energy consumption relation table is updated according to the target unit motor energy consumption.

Optionally, in a specific embodiment of the present application, the current unit motor energy consumption is obtained by substituting the second operation data into a preset calculation formula. When the unit motor energy consumption is hundred kilometers, the calculation formula is as follows:

wherein E is the current unit motor energy consumption, and the unit is kwh/100 km;

t is the time consumed by unit mileage, and the unit is h;

t is a calculation period with the unit of s;

u is the DC bus voltage of the motor, and the unit is V;

i is the direct current bus current of the motor, and the unit of the direct current bus current is A;

s is unit mileage, and the unit is km.

Alternatively, the above-described acquisition cycle and calculation cycle may be the same.

Referring to fig. 7, further, in the processing method of estimating the motor energy consumption as described above, the step S604 of determining the target unit motor energy consumption according to the current unit motor energy consumption and the historical unit motor energy consumption includes:

step S701, acquiring a preset third weight corresponding to the current unit motor energy consumption and a preset fourth weight corresponding to the historical unit motor energy consumption;

and S702, performing weighted calculation on the current unit motor energy consumption and the historical unit motor energy consumption according to the third weight and the fourth weight to obtain target unit motor energy consumption.

In another embodiment of the present application, when the step of determining the target unit motor energy consumption according to the current unit motor energy consumption and the historical unit motor energy consumption is performed, it is preferable to perform weighted calculation on the current unit motor energy consumption and the historical unit motor energy consumption, where in order to avoid that the current unit motor energy consumption has an excessive influence on the obtained target unit motor energy consumption, when a preset first weight corresponding to the current unit motor energy consumption is used, the third weight should be smaller than a fourth weight corresponding to the historical unit motor energy consumption, and a sum of the third weight and the fourth weight is one. Wherein, in one embodiment, the current unit motor energy consumption preferably has a first weight less than or equal to ten percent.

Specifically, the processing method for estimating the motor energy consumption as described above, according to the vehicle state information, the target driving style coefficient and the historical motor energy consumption relation table, the step of obtaining the target motor energy consumption corresponding to each target average vehicle speed section in the navigation information when the vehicle is in the target driving style coefficient includes:

In another embodiment of the present application, when the step of obtaining the target motor energy consumption corresponding to each target average speed section when the vehicle is in the target driving style coefficient according to the vehicle state information, the target driving style coefficient and the historical motor energy consumption relation table is executed, if the current vehicle state information indicates that the vehicle is in the non-driving mode or the current driving mileage in the driving mode after the power-on is not an integral multiple of the unit mileage, it is determined that the driver does not currently drive the vehicle, and at this time, the unit motor energy consumption corresponding to each target average speed section in the target driving style is not affected, so when the target driving style coefficient is directly obtained from the historical motor energy consumption relation table, the historical motor energy consumption corresponding to each target average speed section is taken as the target unit motor energy consumption, and the effect of the non-driving behavior on the unit energy consumption can be avoided, the accuracy of the obtained single machine energy consumption of the target unit is ensured.

Referring to fig. 8, another preferred embodiment of the present application also provides a controller including:

an obtaining module 801, configured to periodically obtain navigation information, vehicle state information, and a historical driving style coefficient and a historical motor energy consumption relation table stored in a vehicle, where a corresponding relation between an average vehicle speed section and a driving style coefficient and unit motor energy consumption is recorded in the historical motor energy consumption relation table;

The first processing module 802 is configured to obtain a target driving style coefficient of the vehicle according to the vehicle state information and the historical driving style coefficient;

the second processing module 803 is configured to obtain, according to the vehicle state information, the target driving style coefficient, and the historical motor energy consumption relation table, target motor energy consumption corresponding to each target average vehicle speed section in the navigation information when the vehicle is in the target driving style coefficient;

the third processing module 804 is configured to determine, according to the received navigation information, a target mileage corresponding to each target average speed segment in the remaining mileage;

the fourth processing module 805 is configured to obtain total motor energy consumption required by the remaining mileage according to the target mileage and the target motor energy consumption corresponding to each target average vehicle speed segment.

the first acquisition unit is used for acquiring first operation data of the vehicle in the current unit mileage, and the first operation data comprises: the average opening degree of a brake pedal during braking of the vehicle within a unit mileage, the braking times within the unit mileage, the average opening degree of an accelerator pedal during acceleration of the vehicle within the unit mileage, and the average vehicle speed within the unit mileage;

Specifically, as the controller described above, the first processing module further includes:

and the third sub-processing module is used for taking the historical driving style coefficient as the target driving style coefficient when the whole vehicle state information indicates that the vehicle is in a non-driving mode or the current driving mileage in the driving mode after the vehicle is electrified is not an integral multiple of the unit mileage.

the fourth sub-processing module is used for acquiring the current unit motor energy consumption corresponding to the average speed in the current unit mileage and the target driving style coefficient when the whole vehicle state information indicates that the current driving mileage of the vehicle in the driving mode after the vehicle is powered on at this time is an integral multiple of the unit mileage, and updating the historical motor energy consumption relation table;

Specifically, the controller, the fourth sub-processing module, as described above, includes:

Further, the controller as described above, the fifth sub-processing module, includes:

The embodiment of the controller of the present invention is a controller corresponding to the embodiment of the processing method, and all the implementation means in the embodiment of the processing method are applicable to the embodiment of the controller, so that the same technical effects can be achieved.

Still another preferred embodiment of the present application further provides a control system for estimating energy consumption of a motor, including: the information acquisition device and the controller as described above, the controller is connected with the information acquisition device.

In one embodiment of the present application, the control system comprises: an information collection device for collecting information in a vehicle, wherein the collected information includes, but is not limited to: the controller can acquire the information acquired by the acquisition device when executing the navigation information, the state information of the whole vehicle, the historical driving style coefficient, the historical motor energy consumption relation table and the like, and execute the steps of the processing method for estimating the motor energy consumption.

Further, the present application may repeat reference numerals and/or letters in the various examples. This repetition is for the purpose of simplicity and clarity and does not in itself dictate a relationship between the various embodiments and/or configurations discussed.

It is further noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion.

The foregoing is a preferred embodiment of the present application, and it should be noted that, for those skilled in the art, several modifications and refinements can be made without departing from the principle described in the present application, and these modifications and refinements should be regarded as the protection scope of the present application.

Claims

1. A processing method for estimating energy consumption of a motor is characterized by comprising the following steps:

obtaining a target driving style coefficient of the vehicle according to the whole vehicle state information and the historical driving style coefficient;

According to the whole vehicle state information, the target driving style coefficient and the historical motor energy consumption relation table, acquiring target motor energy consumption corresponding to each target average speed section in the navigation information when the vehicle is in the target driving style coefficient;

2. The processing method for estimating the energy consumption of the motor according to claim 1, wherein the step of obtaining the target driving style coefficient of the vehicle according to the vehicle state information and the historical driving style coefficient comprises:

and obtaining the target driving style coefficient according to the current driving style coefficient and the historical driving style coefficient, and updating the historical driving style coefficient according to the target driving style coefficient.

3. The processing method for estimating the energy consumption of the motor according to claim 2, wherein the step of obtaining the current driving style coefficient within the current unit mileage comprises:

obtaining first operating data of the vehicle within the current unit of mileage, the first operating data comprising: the average opening degree of a brake pedal during braking of the vehicle within a unit mileage, the braking times within the unit mileage, the average opening degree of an accelerator pedal during acceleration of the vehicle within the unit mileage, and the average vehicle speed within the unit mileage;

4. The processing method for estimating the energy consumption of the motor according to claim 2, wherein the step of obtaining the target driving style coefficient according to the current driving style and the historical driving style coefficient comprises:

and according to the first weight and the second weight, carrying out weighted calculation on the current driving style coefficient and the historical driving style coefficient to obtain the target driving style coefficient.

5. The processing method for estimating the energy consumption of the motor according to claim 1, wherein the step of obtaining the target driving style coefficient of the vehicle according to the vehicle state information and the historical driving style coefficient comprises:

and when the whole vehicle state information shows that the vehicle is in a non-driving mode or the current driving mileage in the driving mode after the vehicle is powered on this time is not an integral multiple of unit mileage, taking the historical driving style coefficient as the target driving style coefficient.

6. The processing method for estimating the motor energy consumption according to claim 1, wherein the step of determining the target motor energy consumption corresponding to each target average speed section in the navigation information when determining that the vehicle is in the target driving style coefficient according to the vehicle state information, the target driving style coefficient and the historical motor energy consumption relation table comprises:

And acquiring the target unit motor energy consumption corresponding to each target average speed section when the vehicle is in the target driving style coefficient from the updated historical motor energy consumption relation table.

7. The processing method for estimating the motor energy consumption according to claim 6, wherein the step of obtaining the current unit motor energy consumption corresponding to the average vehicle speed and the target driving style coefficient within the current unit mileage and updating the historical motor energy consumption relation table comprises:

acquiring corresponding historical unit motor energy consumption from the historical motor energy consumption relation table according to the target driving style coefficient and the average speed in the current unit mileage;

8. The method for estimating energy consumption of a motor according to claim 7, wherein the step of determining the target unit motor energy consumption according to the current unit motor energy consumption and the historical unit motor energy consumption comprises:

9. The processing method for estimating the motor energy consumption according to claim 1, wherein the step of obtaining the target motor energy consumption corresponding to each target average speed section in the navigation information when the vehicle is in the target driving style coefficient according to the vehicle state information, the target driving style coefficient and the historical motor energy consumption relation table comprises:

and when the whole vehicle state information indicates that the vehicle is in a non-driving mode or the current driving mileage in the driving mode after the vehicle is powered on this time is not an integral multiple of unit mileage, acquiring target unit motor energy consumption corresponding to each target average speed section when the vehicle is in the target driving style coefficient from the historical motor energy consumption relation table.

10. A controller, comprising:

the second processing module is used for acquiring target motor energy consumption corresponding to each target average speed section in the navigation information when the vehicle is positioned in the target driving style coefficient according to the whole vehicle state information, the target driving style coefficient and the historical motor energy consumption relation table;

11. A control system for predicting motor energy consumption is characterized by comprising: information acquisition device and controller according to claim 10, characterized in that the controller is connected with the information acquisition device respectively.

12. A vehicle comprising a control system for estimating energy consumption of an electric machine as claimed in claim 11.

13. A readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method of processing an estimated energy consumption of an electric motor as claimed in any one of claims 1 to 9.