CN111976706A

CN111976706A - Method, apparatus, device and medium for switching hybrid vehicle type energy management mode

Info

Publication number: CN111976706A
Application number: CN202010763242.1A
Authority: CN
Inventors: 夏先文
Original assignee: Beijing CHJ Automobile Technology Co Ltd
Current assignee: Beijing CHJ Automobile Technology Co Ltd
Priority date: 2020-07-31
Filing date: 2020-07-31
Publication date: 2020-11-24

Abstract

The present disclosure relates to a method, an apparatus, a device and a medium for switching a hybrid vehicle type energy management mode, the method comprising: acquiring an electric energy supply condition; determining total energy consumption information based on the obtained total mileage and historical trip energy consumption; acquiring current remaining total electric energy information; judging whether the travel is higher than the preset energy consumption requirement or not based on the total energy consumption information and the total electric energy information; the energy management mode is determined based on the electrical energy replenishment condition and whether the trip is higher than the preset energy consumption requirement. The technical scheme of the embodiment of the disclosure can solve the problem that the mode selection difficulty is high for a user; and if the user selects an improper energy management mode, the dynamic property, the economical efficiency and the NVH performance of the vehicle have large difference with the user expectation. Namely, the energy management mode can be automatically switched according to the electric energy supply condition and whether the vehicle has a travel intelligent higher than the preset energy consumption requirement, so that the user does not need to independently select the energy management mode, and the requirements on dynamic performance, economy and NVH performance can be met.

Description

Method, apparatus, device and medium for switching hybrid vehicle type energy management mode

Technical Field

The present disclosure relates to the field of energy management technologies for hybrid vehicles, and in particular, to a method, an apparatus, a device, and a medium for switching energy management modes of a hybrid vehicle.

Background

In recent years, with the continuous development of society, the living standard of people is continuously improved, the demand of people for automobiles is more and more, and electric automobiles powered by electric energy are produced due to the fact that the energy shortage and the environmental pollution problem caused by traditional automobiles are more and more serious. Although the pure electric vehicle has the characteristics of zero emission, zero pollution and the like, the energy density of the power battery cannot be effectively improved at the present stage, so that the power of the pure electric vehicle cannot meet the requirements of people, and the appearance of a hybrid vehicle (also called as a hybrid vehicle) solves the problem to a certain extent: the hybrid vehicle adopts a power mode of combining fuel oil with electric power, and can utilize fuel combustion to supplement power when the power of the battery is insufficient.

The energy management modes of the hybrid vehicle type refer to different vehicle finishing modes related to energy management corresponding to different driving modes such as pure electric driving and hybrid driving and can comprise a pure electric priority mode, a fuel priority mode or a fuel-electric hybrid mode and the like. In the pure electric priority mode, the residual electric energy of the battery pack is preferentially used for pure electric running; under the fuel priority mode, the fuel is preferentially used for generating electricity to provide energy; under the oil-electricity hybrid mode, the generated power of the engine is moderate, the electric quantity maintaining capability is general, and the fuel oil and the electric energy provide energy together. At present, the energy management mode of a hybrid vehicle type is generally set to two or three fixed energy management modes, and based on this, a user needs to manually select a proper mode by himself or herself according to a demand to drive the vehicle. This results in a difficult mode selection for the user; and if the user selects an inappropriate energy management mode, the dynamic performance, the economic performance, and the Noise, Vibration and Harshness (NVH) performance of the vehicle are far from the user expectations.

Disclosure of Invention

To solve the above technical problem or at least partially solve the above technical problem, the present disclosure provides a method, apparatus, device, and medium for switching a hybrid vehicle type energy management mode.

In a first aspect, an embodiment of the present disclosure provides a method for switching a hybrid vehicle type energy management mode, including:

acquiring the electric energy supply condition of the vehicle;

acquiring the total mileage and historical trip energy consumption of the current trip of the vehicle;

determining total energy consumption information in a current trip of the vehicle based on the total mileage and the historical trip energy consumption;

acquiring the current remaining total electric energy information of the vehicle;

judging whether the vehicle has a travel higher than a preset energy consumption requirement or not based on the total energy consumption information and the total electric energy information;

and determining an energy management mode of the vehicle based on the electric energy supply condition and whether the vehicle has a journey higher than a preset energy consumption demand.

Optionally, the obtaining of the electric energy replenishment condition of the vehicle includes:

acquiring charging information and vehicle using information of a vehicle;

determining a charge amount of the vehicle in a unit time based on the charging information, and determining a total mileage in the unit time based on the vehicle usage information;

determining a unit mileage charge amount based on the charge amount per unit time and the total mileage per unit time;

and determining the electric energy replenishment condition to be good, moderate or poor based on the unit mileage charging amount.

Optionally, the unit time is a single month, and the unit mileage is 100 km.

Optionally, the obtaining of the total mileage of the current trip and the historical trip energy consumption of the vehicle includes:

acquiring the vehicle using habit, time information, holiday and festival conditions and road condition information of a user;

predicting the total mileage of the current journey of the user and a vehicle speed-time change curve in the current journey based on the vehicle using habits, the time information, the holiday conditions and the road condition information of the user;

and determining the historical travel energy consumption of the vehicle based on the vehicle speed-time change curve in the current travel.

Optionally, the determining whether the vehicle has a trip higher than a preset energy consumption requirement based on the total energy consumption information and the total electric energy information includes:

subtracting the total electric energy information from the total energy consumption information to obtain an energy difference value;

judging whether the energy difference value is larger than a preset energy value or not;

and if so, determining that the vehicle has a travel higher than the preset energy consumption requirement.

Optionally, the determining an energy management mode of the vehicle based on the electric energy replenishment condition and whether the vehicle has a trip higher than a preset energy consumption demand includes:

when the electric energy supply condition is good and the vehicle has a travel higher than the preset energy consumption requirement, the fuel priority mode and the pure electric priority mode are intelligently switched;

when the electric energy supply condition is good and the vehicle does not have a travel higher than the preset energy consumption requirement, a pure electric priority mode is adopted;

in the condition of electric energy supply, when the vehicle has a travel higher than the preset energy consumption requirement, the fuel priority mode and the fuel-electric hybrid mode are intelligently switched;

in the condition of electric energy supply, when the vehicle does not have a travel higher than the preset energy consumption requirement, an oil-electricity hybrid mode is adopted;

when the electric energy supply condition is poor and the vehicle has a travel higher than the preset energy consumption requirement, adopting a fuel oil priority mode;

and when the electric energy supply condition is poor and the vehicle does not have a travel higher than the preset energy consumption requirement, adopting a fuel priority mode.

Optionally, the total power includes: the sum of the current electric energy of the battery and the electric energy generated by the current driving mileage.

In a second aspect, an embodiment of the present disclosure further provides a switching device for a hybrid vehicle type energy management mode, including:

the electric energy supply condition acquisition module is used for acquiring the electric energy supply condition of the vehicle;

the system comprises a total mileage and historical trip energy consumption determining module, a trip energy consumption determining module and a trip energy consumption determining module, wherein the total mileage and historical trip energy consumption determining module is used for acquiring the total mileage and historical trip energy consumption of the current trip of the vehicle;

the total energy consumption information determining module is used for determining total energy consumption information in the current journey of the vehicle based on the total mileage and the historical journey energy consumption;

the residual electric energy obtaining module is used for obtaining the current residual total electric energy information of the vehicle;

the energy consumption demand judging module is used for judging whether the vehicle has a stroke higher than a preset energy consumption demand or not based on the total energy consumption information and the total electric energy information;

and the energy management mode determining module is used for determining the energy management mode of the vehicle based on the electric energy supply condition and whether the vehicle has a journey higher than a preset energy consumption demand.

Optionally, the electric energy replenishment condition obtaining module includes:

the charging information and vehicle using information acquisition unit is used for acquiring charging information and vehicle using information of the vehicle;

a charging amount and total mileage acquisition unit for determining a charging amount per unit time of the vehicle based on the charging information and determining a total mileage per unit time based on the usage information;

a unit mileage charge amount determination unit that determines a unit mileage charge amount based on a charge amount in the unit time and a total mileage in the unit time;

and the electric energy replenishment condition determining unit is used for determining that the electric energy replenishment condition is good, moderate or poor based on the unit mileage charging amount.

Optionally, the total mileage and historical trip energy consumption determining module includes:

the historical information acquisition unit is used for acquiring the vehicle using habits, time information, holiday conditions and road condition information of the user;

the intermediate information processing unit is used for predicting the total mileage of the current journey of the user and a vehicle speed-time change curve in the current journey based on the vehicle using habits, the time information, the holiday conditions and the road condition information of the user;

and the historical travel energy consumption determining unit is used for determining the historical travel energy consumption of the vehicle based on the vehicle speed-time change curve in the current travel.

Optionally, the energy consumption requirement determining module includes:

the calculating unit is used for subtracting the total electric energy information from the total energy consumption information to obtain an energy difference value;

the judging unit is used for judging whether the energy difference value is larger than a preset energy value or not;

and the determining unit is used for determining that the vehicle has a travel higher than a preset energy consumption requirement when the energy difference value is larger than a preset energy value.

Optionally, the energy management mode determining module is specifically configured to:

Optionally, the energy management mode determining module is further configured to determine that the vehicle adopts the pure electric priority mode when the output information of the electric energy replenishment condition obtaining module and/or the energy consumption requirement determining module cannot be received.

In a third aspect, an embodiment of the present disclosure further provides an electronic device, including: a processor and a memory;

the processor is configured to perform the steps of any of the methods described above by calling a program or instructions stored in the memory.

In a fourth aspect, the disclosed embodiments also provide a computer-readable storage medium storing a program or instructions for causing a computer to perform the steps of any of the above methods.

Compared with the prior art, the technical scheme provided by the embodiment of the disclosure has the following advantages:

the technical scheme of the embodiment of the disclosure can solve the problem that the selection difficulty of the energy management mode is higher for the user in the existing scheme; and if the user selects an improper energy management mode, the dynamic property, the economical efficiency and the NVH performance of the vehicle are poor. According to the technical scheme of the embodiment of the disclosure, the automatic switching of the energy management mode is intelligently performed according to the electric energy supply condition of the vehicle and whether the vehicle has a travel higher than the preset energy consumption requirement, so that the user does not need to select the vehicle independently, the vehicle using learning cost of the user is reduced, and the intelligent level of the vehicle is improved; meanwhile, the dynamic performance, the economical efficiency and the NVH performance of the vehicle are smaller than the expected difference of the user, and the vehicle using requirements of the user in different scenes can be met.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure.

In order to more clearly illustrate the embodiments or technical solutions in the prior art of the present disclosure, the drawings used in the description of the embodiments or prior art will be briefly described below, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without inventive exercise.

Fig. 1 is a schematic flow chart of a method for switching hybrid vehicle type energy management modes according to an embodiment of the present disclosure;

FIG. 2 is a detailed flow diagram of S110 in the method shown in FIG. 1;

FIG. 3 is a schematic diagram illustrating a detailed flow of S120 in the method shown in FIG. 1;

FIG. 4 is a schematic diagram illustrating a detailed flow of S150 in the method shown in FIG. 1;

FIG. 5 is a detailed flow chart of S160 in the method shown in FIG. 1;

FIG. 6 is a schematic structural diagram of a hybrid vehicle type energy management mode switching device according to an embodiment of the present disclosure;

fig. 7 is a schematic diagram of a hardware structure of an electronic device provided in an embodiment of the present disclosure.

Detailed Description

In order that the above objects, features and advantages of the present disclosure may be more clearly understood, aspects of the present disclosure will be further described below. It should be noted that the embodiments and features of the embodiments of the present disclosure may be combined with each other without conflict.

In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present disclosure, but the present disclosure may be practiced in other ways than those described herein; it is to be understood that the embodiments disclosed in the specification are only a few embodiments of the present disclosure, and not all embodiments.

Fig. 1 is a schematic flowchart of a method for switching a hybrid vehicle type energy management mode according to an embodiment of the present disclosure. Referring to fig. 1, the method comprises the steps of:

and S110, acquiring the electric energy supply condition of the vehicle.

The energy supply condition of the vehicle is a charging condition of an external power supply of the vehicle, and can also be understood as a charging condition of a user, which can represent a charging condition of a battery pack in the vehicle, and can determine whether the vehicle can be driven in a pure electric priority mode, and the step is ready for determining an energy management mode of the vehicle in the following step S140.

In this step, the electric energy replenishment condition of the vehicle may be obtained by statistically analyzing the historical charging information of the vehicle to obtain the electric energy replenishment condition category of the vehicle, which is exemplarily described below with reference to fig. 2.

And S120, acquiring the total mileage of the current trip and the historical trip energy consumption of the vehicle.

The total mileage is the total mileage to be traveled by the current trip of the vehicle, and the historical trip energy consumption is energy consumption information corresponding to similar trips of the vehicle determined based on the historical vehicle information.

This step prepares for the subsequent S130.

And S130, determining total energy consumption information in the current journey of the vehicle based on the total mileage and the historical journey energy consumption.

The total energy consumption information in the current trip of the vehicle is the total energy that needs to be consumed in the current trip of the vehicle, and the total energy consumption information may be obtained based on the total mileage of the current trip of the vehicle acquired in S120 and the historical trip energy consumption, where the historical trip energy consumption is related to the vehicle driving state and may be obtained based on the historical vehicle utilization information, which is described in detail below. This step is provided for determining the energy consumption demand of the vehicle in S150.

For example, the total energy consumption information in the current trip of the vehicle may be obtained by prediction based on the vehicle usage-related information of the user, which is exemplarily described below with reference to fig. 3.

And S140, acquiring the current remaining total electric energy information of the vehicle.

The current remaining total electric energy information is the total pure electric energy currently provided by the battery pack. Illustratively, this step may include recalling data from the overall vehicle monitoring system that indicates the total power information currently remaining in the vehicle.

The information on the total electric energy currently remaining in the vehicle in this step can be used as a reference for determining whether the vehicle has a trip with a high energy consumption demand.

In other embodiments, the total electrical energy may include the sum of the current electrical energy of the battery and the electrical energy generated by the current driving distance, that is, the battery (or called battery pack, or battery pack) in the vehicle may be charged by an external power source, such as a charging post, or an on-board charger, such as oil-to-oil charging, which is not limited by the embodiments of the present disclosure.

And S150, judging whether the vehicle has a travel higher than a preset energy consumption requirement or not based on the total energy consumption information and the total electric energy information.

The preset energy consumption requirement can be used for representing whether the total electric energy of the vehicle can provide enough energy or not and ensuring that the vehicle runs at a better performance.

The total energy consumption information is energy required by the current journey of the vehicle, the total energy information is energy which can be provided by the vehicle battery pack currently, and whether the vehicle has the journey with high energy consumption can be judged based on the relative size relation of the total energy consumption information and the energy which can be provided by the vehicle battery pack currently. For example, if the former is greater than the latter and exceeds a preset energy value, it indicates that the vehicle has a trip with a high energy consumption requirement; otherwise, the vehicle does not have a trip with high energy consumption requirements, as detailed below.

Therefore, based on the total energy consumption information and the total electric energy information, if the vehicle has a travel higher than the preset energy consumption requirement, other energy management modes except the pure electric mode need to be adopted for supplement or replacement.

For example, the journey of the vehicle above the preset energy consumption requirement may be a journey with a high energy consumption requirement, such as a journey with a requirement of high vehicle speed, high power and the like; correspondingly, the current journey of the vehicle also includes journeys without high energy consumption requirements.

In this step, the energy consumption state of the vehicle is also associated with the energy management mode of the vehicle, and this step provides for determining the energy management mode of the vehicle in S160.

For example, in this step, the determination of whether the vehicle has a trip higher than the preset energy consumption requirement may be: the determination is made based on the difference between the total energy consumption and the remaining total energy, which is exemplified below in connection with fig. 4.

And S160, determining an energy management mode of the vehicle based on the electric energy supply condition and whether the vehicle has a journey higher than a preset energy consumption demand.

Based on the electric energy replenishment condition obtained in S110, the total energy consumption information in the current trip of the vehicle determined in S120 and S130, and the remaining total electric energy information of the vehicle obtained in S140, whether the vehicle has a trip higher than a preset energy consumption requirement is determined, and the energy management mode of the vehicle is determined.

For example, common energy management modes of a vehicle may include fuel-first, electric-only, and hybrid electric.

The manner in which the energy management mode is determined is illustratively described below in connection with a vehicle usage scenario (including power replenishment conditions, and whether the vehicle has a trip above a preset energy consumption requirement).

Illustratively, the electric energy supply condition is good, and when the vehicle has a journey with high energy consumption demand, intelligent switching between a fuel priority mode and a pure electric priority mode can be adopted, so that better dynamic property and economy are realized. For example, a fuel priority mode can be adopted in the scenes of high vehicle speed or high power demand and the like to keep high electric quantity, so that the vehicle has good dynamic property; and a pure electric priority mode is adopted in a congested urban road section so as to realize good economy and NVH performance.

Exemplarily, the electric energy supply condition is good, and when the vehicle has no travel with high energy consumption requirement, the vehicle can run in a pure electric priority mode, namely, the energy is supplied in a charging mode, so that the vehicle using cost of a user is low, and the economy is good; meanwhile, the NVH performance is better.

Illustratively, when the electric energy supply condition is moderate and the vehicle has a journey with high energy consumption demand, intelligent switching between a fuel priority mode and a fuel-electric hybrid mode can be adopted to realize better dynamic property and NVH performance. For example, a fuel priority mode can be adopted in the scenes of high vehicle speed or high power demand and the like to keep high electric quantity, so that the vehicle has good dynamic property; and an oil-electricity hybrid mode is adopted in a congested urban road section so as to realize good dynamic performance and NVH performance.

For example, the electric energy supply condition is moderate, and when the vehicle has no travel with high energy consumption demand, the vehicle can run in an oil-electricity hybrid mode, the electric energy of the vehicle is slowly reduced, a user can occasionally supply energy in a charging mode, and the dynamic performance and the NVH performance of the whole vehicle are good.

For example, when the electric energy supply condition is poor, a fuel priority mode can be adopted to realize better dynamic property. For example, the energy can be supplemented by refueling, so that the power consumption is low, the electric quantity maintenance is good, and the vehicle can still have good dynamic property when being used for a long time under the condition of no charging.

In addition, when the user electric energy supply condition and the high energy demand of the user cannot be predicted, the pure electric priority mode can be selected, and the low vehicle cost and the good NVH performance are guaranteed.

It should be noted that fig. 1 only exemplarily shows that S110 is performed before S120 and S130, in other embodiments, S110 may also be performed after S120 and S130, or S110 is parallel to S120 and S130, which is not limited in this disclosure.

Similarly, fig. 1 only exemplarily shows that S140 is performed after S120 and S130, and in other embodiments, S140 may also be performed in parallel with S120 and S130, or before S120 and S130; or S140 may also be executed in parallel with S110 or before S110, which is not limited in the embodiments of the present disclosure.

The method for switching the hybrid vehicle type energy management mode provided by the embodiment of the disclosure is a method for intelligently switching the hybrid vehicle type energy management mode, and the method determines whether the vehicle has a trip higher than a preset energy consumption requirement or not based on the acquired electric energy supply condition of the vehicle, and the total energy consumption information in the current trip of the vehicle and the acquired total remaining electric energy information of the vehicle, which are determined based on the total mileage of the current trip of the vehicle and historical trip energy consumption, so as to determine the energy management mode of the vehicle. Therefore, the intelligent automatic switching of the energy management mode of the hybrid vehicle type can be realized without the need of the user to select autonomously, so that the intelligent level of the vehicle can be improved, and the vehicle using learning cost of the user is reduced; meanwhile, under different electric energy supply conditions and whether the vehicle has a travel condition higher than a preset energy consumption requirement, the dynamic property, the economical efficiency and the NVH performance of the vehicle are smaller than the expected difference of a user, and the vehicle using requirements of the user in different scenes can be met.

In an embodiment, fig. 2 is a detailed flowchart of S110 in the method shown in fig. 1. In conjunction with fig. 1 and 2, S110 may include:

and S111, acquiring charging information and vehicle using information of the vehicle.

Optionally, the charging information of the vehicle includes time of each charge, number of times of charging per week (or within a time period of each day, month or other time unit), type, duration and amount of charge of each charge. This step may include: the method comprises the steps of collecting the time of each charging of a vehicle, the number of times of the vehicle charging in a time period, the type and the duration of each charging and the charging amount.

Based on this, the charge amount of the user history unit can be counted; and identifying and predicting the charging behavior and the charging habit of the user.

Optionally, the vehicle utilization information may include the daily vehicle utilization time and the daily mileage, based on which the total mileage of the user in a single month in history may be counted, and the vehicle utilization habits of the user may be identified and predicted.

And S112, determining the charging amount of the vehicle in unit time based on the charging information, and determining the total mileage in unit time based on the vehicle using information.

In this step, the time periods are unified into a unit time, and based on the charging information and the vehicle using information acquired in S111, the total charging amount in the unit time is obtained by summing the charging amounts of the plurality of times of charging in the unit time, and the total mileage in the unit time is obtained by summing the stroke amounts of the plurality of times of travel. This step is provided for determining the unit mileage charge amount in S113.

And S113, determining the unit mileage charge amount based on the charge amount in the unit time and the total mileage in the unit time.

For example, the charge per unit time may be divided by the total mileage per unit time to obtain the charge per unit mileage.

Optionally, the unit time is a single month, and the unit mileage is 100 km.

As such, based on the statistical user historical monthly charge and the user historical monthly total mileage, a user mileage charge may be determined, illustratively: the charging amount of a month is divided by the total mileage of the month and then multiplied by 100, so that the charging amount corresponding to 100km can be obtained, and the unit of the charging amount can be represented as kwh/100 km.

In other embodiments, other time lengths known to those skilled in the art may be used as the unit time, or other distance lengths may be used as the length unit, so as to reduce the difficulty of calculating the unit mileage charge amount, or improve the calculation accuracy of the unit mileage charge amount, which is not limited in the embodiments of the present disclosure.

And S114, determining the electric energy replenishment condition to be good, moderate or poor based on the unit mileage charging amount.

The electric energy replenishment condition can be classified into three categories by using the judgment principle of the charging amount of the unit mileage, namely the electric energy replenishment condition is good, the electric energy replenishment condition is moderate or the electric energy replenishment condition is poor. Correspondingly, the judgment principle of the mileage charging amount of the user unit can be utilized to divide the users into three categories, namely users with good electric energy supply conditions, users with medium electric energy supply conditions and users with poor electric energy supply conditions.

Illustratively, the unit mileage charge amount calculated in S113 may be 50kwh/100km, 100kwh/100km, or 200kwh/100 km; which can respectively correspond to poor electric energy supply conditions, neutral electric energy supply conditions and good electric energy supply conditions.

In other embodiments, the electric energy supply conditions may be further divided into other number of categories, such as two, four, or five categories, which may be set according to requirements of the switching method of the hybrid vehicle type energy management mode, and the embodiment of the disclosure is not limited thereto.

By executing steps S111 to S114, the electric energy supply condition of the vehicle can be acquired.

In other embodiments, other manners known to those skilled in the art may be used to obtain the vehicle electric energy replenishment condition, which is not limited by the embodiments of the present disclosure.

In an embodiment, fig. 3 is a detailed flowchart of S120 in the method shown in fig. 1. In conjunction with fig. 1 and 3, S120 may include:

s121, obtaining the user' S car using habits, time information, holiday conditions and road condition information.

The method comprises the steps that the vehicle using habit of a user can be identified and predicted based on the daily vehicle using time and the daily driving mileage of the user, time information and holiday conditions can be obtained by a vehicle integrated module with a time monitoring and identifying function, and road condition information and a navigation route can be obtained according to a starting point and a terminal point of GPS information or according to a trip planning table of the user.

The usage habits of the user may also include, for example, the behavior habits of the user during the driving of the vehicle, and the specific operations on the vehicle may include, for example, shifting gears, stepping on the accelerator and stepping on the brake, etc. related to the change of the vehicle speed, turning on or off the audio, etc. related to the audio and video entertainment equipment, and turning on or off the air conditioner in the vehicle, etc. related to the improvement of the usage experience (e.g., adjusting the temperature in the vehicle). The above operations all require energy consumption, which is related to the total energy consumption information of the vehicle.

In this step, the in-vehicle related information is acquired in preparation for the following S122 and S123.

And S122, predicting the total mileage of the current trip of the user and a vehicle speed-time change curve in the current trip based on the vehicle using habits, the time information, the holiday conditions and the road condition information of the user.

In the step, based on the vehicle-using related information obtained in step S121, the total mileage of the current trip and the vehicle speed-time change curve in the current trip are predicted; the method is characterized in that the vehicle using behavior of the user is predicted, the behavior can be, for example, a vehicle used on the way to work or a vehicle used for traveling, and further, the total mileage, the traveled mileage and the remaining mileage of the current trip can be determined. For example, the prediction mode may be prediction based on a software model, which is not limited in the embodiment of the present disclosure.

In other embodiments, the driving acceleration-time variation curve in the current trip, or the driving mileage-time variation curve, or the variation curve of the related quantity of the driving state of another vehicle with time may also be predicted, which is not limited by the embodiment of the disclosure.

And S123, determining the historical travel energy consumption of the vehicle based on the vehicle speed-time change curve in the current travel.

The vehicle speed-time change curve in the current travel is related to energy consumption information of the vehicle. For example, when the vehicle speed-time change curve is in an ascending trend, the energy consumption is increased, and the larger the ascending slope is, the larger the energy consumption is. Thus, the historical energy consumption of the vehicle can be determined according to the vehicle speed-time change curve, so that the total energy consumption information in the current journey of the user can be predicted.

Based on this, S130 in fig. 1 may include predicting the total energy consumption in the user journey based on the total mileage of the user current journey predicted in S122 and the vehicle speed-time change curve in the current journey, in combination with the built vehicle dynamics model simulation.

Up to this point, by performing S121 to S123, and performing S130, the total energy consumption information in the current trip of the vehicle can be determined.

In other embodiments, other manners known to those skilled in the art may also be used to obtain the total energy consumption information in the current trip of the vehicle, which is not limited by the embodiments of the present disclosure.

In an embodiment, fig. 4 is a detailed flowchart of S150 in the method shown in fig. 1. In conjunction with fig. 1 and 4, S150 may include:

and S151, subtracting the total electric energy information from the total energy consumption information to obtain an energy difference value.

This step provides for a subsequent comparison of the energy difference with a preset energy value.

S152, judging whether the energy difference value is larger than a preset energy value.

The preset energy value is an energy value which ensures good performance of the battery pack when the battery pack is started. Specifically, the State of Charge (SOC) of the battery pack can be prevented from being reduced to a relatively low level by setting the preset energy value, so that the battery pack can be ensured to have good performance while the automatic intelligent switching of the energy management mode is realized. For example, the preset energy value may correspond to a SOC value of 15% (for presentation to the user), which may correspond to an actual SOC of 30% of the battery; alternatively, the SOC may be set to other percentage values, and may be set according to requirements of a switching method of the hybrid vehicle type energy management mode, which is not limited in the embodiment of the disclosure.

In this step, it is determined whether the vehicle has a trip requiring high energy consumption by comparing the relative magnitude of the energy difference value and a preset energy value. For example, if the former is larger than the latter, it indicates that the battery pack has good performance, and the available electric quantity cannot meet the energy consumption of the vehicle, so that the vehicle has a journey with high energy consumption requirement.

Namely: if yes, go to S153.

And S153, determining that the vehicle has a journey higher than the preset energy consumption requirement.

Thus, based on the total energy consumption for the current trip predicted by the simulation and the total energy remaining for the vehicle, the trip is divided into two categories using the judgment principle of high energy demand (total energy consumption in the trip predicted by the simulation-total energy remaining for the current vehicle > b kWh, b being a constant): a trip with high energy consumption requirement and a trip without high energy consumption requirement.

In an embodiment, fig. 5 is a detailed flowchart of S160 in the method shown in fig. 1. In conjunction with fig. 1 and 5, S160 may include:

and S161, when the electric energy supply condition is good and the vehicle has a travel higher than the preset energy consumption requirement, intelligently switching between a fuel priority mode and a pure electric priority mode.

For example, a fuel priority mode can be adopted in the scenes of high vehicle speed or high power demand and the like to keep high electric quantity and have good dynamic property; and a pure electric priority mode is adopted in a congested urban road section so as to realize good economy and NVH performance. Therefore, the requirements of dynamic property, economy and NVH performance under the scene of no driving can be met.

And S162, when the electric energy supply condition is good and the vehicle does not have a travel higher than the preset energy consumption requirement, adopting a pure electric priority mode.

For example, when the vehicle does not have a travel with high energy consumption requirement, the required power is less, the vehicle can run in a pure electric priority mode, namely, energy is supplied in a charging mode, the vehicle using cost of a user is low, and the economy is good; meanwhile, the NVH performance is better.

In S161 and S162, the electric energy supply condition is good, so that the energy management mode can comprise a pure electric priority mode; meanwhile, in S161, when the vehicle has a travel with a high energy consumption requirement, a fuel priority mode is required due to the fact that large power is required, and the fuel priority mode and the pure electric priority mode are intelligently switched in S161, so that requirements on power performance, economy and NVH performance under different driving scenes are met.

And S163, in the condition of electric energy supply, when the vehicle has a travel higher than the preset energy consumption requirement, intelligently switching between a fuel priority mode and a fuel-electricity hybrid mode.

For example, a fuel priority mode can be adopted in the scenes of high vehicle speed or high power demand and the like to keep high electric quantity and have good dynamic property; and an oil-electricity hybrid mode is adopted in a congested urban road section so as to realize good dynamic performance and NVH performance.

And S164, adopting an oil-electricity hybrid mode under the condition of electric energy supply and when the vehicle does not have a travel higher than the preset energy consumption requirement.

For example, when the hybrid electric vehicle runs in an oil-electricity hybrid mode, the electric energy of the vehicle is reduced slowly, a user can occasionally supply energy in a charging mode, and the dynamic performance and NVH performance of the whole vehicle are good.

In the steps S163 and S164, the electric energy supply conditions are moderate, and the energy cannot meet the power demand only by using the pure electric priority mode to provide energy, so that the energy management modes both include an oil-electric hybrid mode; meanwhile, in S163, when the vehicle has a travel with a high energy consumption requirement, a fuel priority mode is required due to the fact that large power is required, and the fuel priority mode and the fuel-electric hybrid mode are intelligently switched in S163, so that the requirements of the power performance and the NVH performance of the whole vehicle under different driving scenes are met.

And S165, adopting a fuel oil priority mode when the electric energy supply condition is poor and the vehicle has a travel higher than the preset energy consumption requirement.

And S166, adopting a fuel priority mode when the electric energy supply condition is poor and the vehicle does not have a travel higher than the preset energy consumption requirement.

In S165 and S166, energy can be supplemented in an oiling mode, power consumption is low, electric quantity maintenance is good, and the vehicle can still have good dynamic property when being used for a long time under the condition of no charging.

It should be noted that fig. 5 only exemplarily shows the sequential execution of S161-S166, and in other embodiments, the execution sequence of S161-S166 may be changed, which may be alternatively executed according to a driving scenario, which is not limited in this disclosure.

According to the switching method of the hybrid vehicle type energy management mode, the charging information and the vehicle using information of the user are subjected to statistical analysis, and the vehicle using habit, the mileage of the current trip and the vehicle speed-time change curve in the current trip of the user are predicted; on the basis of the statistical user charging information and the total travel energy consumption information predicted by simulation, the grades of the electric energy supply conditions and the travel of whether the vehicle has high energy consumption are divided in the aspects of the user electric energy supply conditions and the high energy consumption requirements; and intelligently performing automatic switching of the energy management modes based on the division results of the user electric energy supply conditions and the high energy consumption requirements. Therefore, intelligent automatic switching of the hybrid vehicle type energy management mode can be realized, the intelligent level of the vehicle is improved, and the vehicle using learning cost of a user is reduced; meanwhile, based on the statistical user charging condition and the predicted user vehicle energy consumption condition, the personalized intelligent automatic switching of the vehicle energy management mode is realized, and different requirements of user dynamic performance, economy and NVH performance are met under different scenes.

Based on the same inventive concept, the disclosed embodiment further provides a switching device for a hybrid vehicle type energy management mode, which can be used for executing any one of the methods in the above embodiments, so that the device also has the technical effects of the methods provided by the above embodiments, and the same points can be understood by referring to the above explanation of the methods, and are not repeated herein.

Exemplarily, fig. 6 is a schematic structural diagram of a switching device of a hybrid vehicle type energy management mode according to an embodiment of the present disclosure. Referring to fig. 6, the apparatus includes:

an electric energy replenishment condition acquisition module 310, configured to acquire an electric energy replenishment condition of the vehicle;

a total mileage and historical trip energy consumption determining module 320, configured to obtain a total mileage and historical trip energy consumption of a current trip of the vehicle;

a total energy consumption information determination module 330, configured to determine total energy consumption information in a current trip of the vehicle based on the total mileage and the historical trip energy consumption;

a remaining power obtaining module 340, configured to obtain current remaining total power information of the vehicle;

the energy consumption demand judging module 350 is configured to judge whether the vehicle has a travel higher than a preset energy consumption demand based on the total energy consumption information;

the energy management mode determination module 360 is configured to determine an energy management mode of the vehicle based on the electric energy replenishment condition and whether the vehicle has a trip higher than a preset energy consumption requirement.

The switching device of the hybrid vehicle type energy management mode provided by the embodiment of the disclosure is essentially a device for executing the above method for intelligently switching the hybrid vehicle type energy management mode, in the device, an electric energy supply condition acquisition module 310 can acquire an electric energy supply condition of a vehicle, and a total mileage and historical trip energy consumption determination module 320 can acquire a total mileage and historical trip energy consumption of a current trip of the vehicle; the total energy consumption information acquiring module 330 may determine total energy consumption information in a current trip of the vehicle based on the total mileage and the historical trip energy consumption, the remaining energy acquiring module 340 may acquire total energy information remaining at the current trip of the vehicle, and the energy consumption requirement determining module 350 may determine whether the vehicle has a trip higher than a preset energy consumption requirement based on the total energy consumption information, and on this basis, the energy management mode determining module 360 may determine the energy management mode of the vehicle based on the acquired energy replenishment condition of the vehicle and whether the vehicle has a trip higher than the preset energy consumption requirement determined based on the acquired total energy consumption information in the current trip of the vehicle. Therefore, the intelligent automatic switching of the energy management mode of the hybrid vehicle type can be realized without the need of the user to select autonomously, so that the intelligent level of the vehicle can be improved, and the vehicle using learning cost of the user is reduced; meanwhile, under different electric energy supply conditions and whether the vehicle has a travel condition higher than a preset energy consumption requirement, the dynamic property, the economical efficiency and the NVH performance of the vehicle are smaller than the expected difference of a user, and the vehicle using requirements of the user in different scenes can be met.

In one embodiment, the electric energy replenishment condition obtaining module 310 includes:

a charging amount and total mileage acquisition unit for determining a charging amount of the vehicle per unit time based on the charging information and determining a total mileage per unit time based on the vehicle usage information;

a unit mileage charge amount determination unit for determining a unit mileage charge amount based on a charge amount in a unit time and a total mileage in the unit time;

In one embodiment, the total mileage and historical energy consumption for trip determination module 320 includes:

the intermediate information processing unit is used for predicting the total mileage of the current journey of the user and a vehicle speed-time change curve in the current journey based on the vehicle using habit, time information, holiday conditions and road condition information of the user;

In one embodiment, the energy consumption requirement determining module 350 includes:

the calculating unit is used for subtracting the total electric energy information from the total energy consumption information to obtain an energy difference value; the judging unit is used for judging whether the energy difference value is larger than a preset energy value or not; and the determining unit is used for determining that the vehicle has a travel higher than the preset energy consumption requirement when the energy difference value is larger than the preset energy value.

In an embodiment, the energy management mode determining module 360 is specifically configured to: when the electric energy supply condition is good and the vehicle has a travel higher than the preset energy consumption requirement, the fuel priority mode and the pure electric priority mode are intelligently switched; when the electric energy supply condition is good and the vehicle does not have a travel higher than the preset energy consumption requirement, a pure electric priority mode is adopted; in the condition of electric energy supply, when the vehicle has a travel higher than the preset energy consumption requirement, the fuel priority mode and the fuel-electric hybrid mode are intelligently switched; in the condition of electric energy supply, when the vehicle does not have a travel higher than the preset energy consumption requirement, an oil-electricity hybrid mode is adopted; when the electric energy supply condition is poor and the vehicle has a travel higher than the preset energy consumption requirement, adopting a fuel oil priority mode; and when the electric energy supply condition is poor and the vehicle does not have a travel higher than the preset energy consumption requirement, adopting a fuel priority mode.

In an embodiment, the energy management mode determining module 360 is further configured to determine that the vehicle adopts the pure electric priority mode when the output information of the electric energy replenishment condition obtaining module and/or the energy consumption requirement determining module cannot be received.

The apparatus disclosed in the above embodiments can implement the processes of the methods disclosed in the above method embodiments, and has the same or corresponding beneficial effects, and for avoiding repetition, the details are not described herein again.

Fig. 7 is a schematic diagram of a hardware structure of an electronic device provided in an embodiment of the present disclosure. Referring to fig. 7, the electronic device includes:

one or more processors 301, one processor 301 being exemplified in fig. 7;

a memory 302;

the electronic device may further include: an input device 303 and an output device 304.

The processor 301, the memory 302, the input device 303 and the output device 304 in the electronic device may be connected by a bus or other means, and the connection manner is exemplarily illustrated in fig. 7 by the bus.

The memory 302 is a non-transitory computer-readable storage medium, and can be used to store software programs, computer-executable programs, and modules, such as program instructions/modules corresponding to the method for switching the hybrid vehicle-type energy management mode of the application program in the embodiment of the disclosure (for example, the electric energy replenishment condition acquisition module 310, the total energy consumption information acquisition module 320, the energy consumption requirement judgment module 330, and the energy management mode determination module 340 shown in fig. 6). The processor 301 executes various functional applications of the server and data processing by running software programs, instructions and modules stored in the memory 302, that is, implements the method for switching the hybrid vehicle type energy management mode of the above-described method embodiment.

The memory 302 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to use of the electronic device, and the like.

Further, the memory 302 may include high speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device.

In some embodiments, memory 302 optionally includes memory located remotely from processor 301, which may be connected to a terminal device via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.

The input device 303 may be used to receive input numeric or character information and generate key signal inputs related to user settings and function control of the electronic apparatus.

The output means 304 may comprise a display device such as a display screen.

The disclosed embodiments also provide a hybrid vehicle-type energy management system comprising a computer-readable storage medium storing a program or instructions that, when executed by a computer, cause the computer to perform a method for switching between energy management modes, the method comprising:

acquiring the electric energy supply condition of the vehicle;

Optionally, the computer executable instructions, when executed by the computer processor, may be further configured to implement a solution of a method for switching a hybrid vehicle type energy management mode provided by any embodiment of the present disclosure.

From the above description of the embodiments, it is obvious for a person skilled in the art that the present disclosure can be implemented by software and necessary general hardware, and certainly can be implemented by hardware, but in many cases, the former is a better embodiment. Based on such understanding, the technical solutions of the present disclosure may be embodied in the form of a software product, which may be stored in a computer-readable storage medium, such as a floppy disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a FLASH Memory (FLASH), a hard disk or an optical disk of a computer, and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network device) to execute the methods according to the embodiments of the present disclosure.

It is noted that, in this document, 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, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.

The foregoing are merely exemplary embodiments of the present disclosure, which enable those skilled in the art to understand or practice the present disclosure. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the disclosure. Thus, the present disclosure is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for switching hybrid vehicle type energy management modes, comprising:

acquiring the electric energy supply condition of the vehicle;

2. The method for switching hybrid vehicle-type energy management mode according to claim 1, wherein the obtaining of the vehicle's electric energy replenishment condition comprises:

acquiring charging information and vehicle using information of a vehicle;

3. The method of switching hybrid vehicle type energy management mode according to claim 2, wherein the unit time is a single month, and the unit mileage is 100 km.

4. The method for switching hybrid vehicle-type energy management mode according to claim 1, wherein the acquiring the total mileage of the current trip and the historical trip energy consumption of the vehicle comprises:

5. The method for switching hybrid vehicle type energy management mode according to claim 1, wherein the determining whether the vehicle has a trip higher than a preset energy consumption demand based on the total energy consumption information and the total electric energy information comprises:

6. The method for switching hybrid vehicle-type energy management mode according to claim 2, wherein the determining the energy management mode of the vehicle based on the electric energy replenishment condition and whether the vehicle has a trip higher than a preset energy consumption demand comprises:

7. The method of switching hybrid vehicle-type energy management mode of claim 1, wherein the total electrical energy comprises: the sum of the current electric energy of the battery and the electric energy generated by the current driving mileage.

8. A hybrid vehicle type energy management mode switching apparatus, comprising:

9. The hybrid vehicle-type energy management mode switching device according to claim 8, wherein the electric energy replenishment condition acquisition module includes:

10. The method of switching hybrid vehicle-type energy management mode of claim 8, wherein the total mileage and historical trip energy consumption determination module comprises:

11. The hybrid vehicle type energy management mode switching device according to claim 8, wherein the energy consumption demand judging module includes:

12. The hybrid vehicle type energy management mode switching device according to claim 8, wherein the energy management mode determining module is specifically configured to:

13. The hybrid vehicle type energy management mode switching device according to claim 12, wherein the energy management mode determining module is further configured to determine that the vehicle adopts the pure electric priority mode when the output information of the electric energy replenishment condition obtaining module and/or the energy consumption requirement judging module cannot be received.

14. An electronic device, comprising: a processor and a memory;

the processor is adapted to perform the steps of the method of any one of claims 1 to 7 by calling a program or instructions stored in the memory.

15. A computer-readable storage medium, characterized in that it stores a program or instructions for causing a computer to carry out the steps of the method according to any one of claims 1 to 7.