CN113665431A - Method and device for estimating remaining endurance mileage of electric automobile - Google Patents
Method and device for estimating remaining endurance mileage of electric automobile Download PDFInfo
- Publication number
- CN113665431A CN113665431A CN202111145766.5A CN202111145766A CN113665431A CN 113665431 A CN113665431 A CN 113665431A CN 202111145766 A CN202111145766 A CN 202111145766A CN 113665431 A CN113665431 A CN 113665431A
- Authority
- CN
- China
- Prior art keywords
- energy
- vehicle
- current
- calculating
- power battery
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 46
- 238000005265 energy consumption Methods 0.000 claims abstract description 34
- 238000011084 recovery Methods 0.000 claims description 15
- 238000004364 calculation method Methods 0.000 claims description 14
- 238000004590 computer program Methods 0.000 claims description 8
- 230000003068 static effect Effects 0.000 claims description 5
- 230000002829 reductive effect Effects 0.000 abstract description 6
- 238000004891 communication Methods 0.000 description 11
- 238000010586 diagram Methods 0.000 description 6
- 230000008569 process Effects 0.000 description 6
- 230000006870 function Effects 0.000 description 5
- 230000003993 interaction Effects 0.000 description 2
- 230000002238 attenuated effect Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000007599 discharging Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 230000000670 limiting effect Effects 0.000 description 1
- 230000002093 peripheral effect Effects 0.000 description 1
- 230000002441 reversible effect Effects 0.000 description 1
Images
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L58/00—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
- B60L58/10—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L3/00—Electric devices on electrically-propelled vehicles for safety purposes; Monitoring operating variables, e.g. speed, deceleration or energy consumption
- B60L3/12—Recording operating variables ; Monitoring of operating variables
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L2260/00—Operating Modes
- B60L2260/40—Control modes
- B60L2260/50—Control modes by future state prediction
- B60L2260/52—Control modes by future state prediction drive range estimation, e.g. of estimation of available travel distance
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L2260/00—Operating Modes
- B60L2260/40—Control modes
- B60L2260/50—Control modes by future state prediction
- B60L2260/54—Energy consumption estimation
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/70—Energy storage systems for electromobility, e.g. batteries
Landscapes
- Engineering & Computer Science (AREA)
- Life Sciences & Earth Sciences (AREA)
- Sustainable Development (AREA)
- Sustainable Energy (AREA)
- Power Engineering (AREA)
- Transportation (AREA)
- Mechanical Engineering (AREA)
- Electric Propulsion And Braking For Vehicles (AREA)
Abstract
The application discloses a method and a device for estimating remaining endurance mileage of an electric automobile, wherein the method comprises the following steps: matching the current attenuation value of the power battery according to the current state parameter of the power battery; calculating a current available energy of the power battery based on the current attenuation value in combination with the initial available energy of the power battery; and calculating the pure discharge energy of the power battery according to the state parameters of the vehicle, calculating the actual energy consumption of the vehicle, and calculating the actual remaining endurance mileage of the electric vehicle based on the current available energy. After the attenuation value of the battery is determined, the actual available energy of the battery is calculated, pure discharge energy is calculated based on the state parameters of the vehicle, the actual remaining endurance mileage is obtained, the estimation accuracy is improved, the method is more accurate and reliable, and the use experience is guaranteed. Therefore, the problems that the result of estimating the remaining endurance mileage of the electric automobile through the model is inaccurate and reliable, the energy management of a user on the power battery is influenced, the vehicle using experience of the user is reduced and the like are solved.
Description
Technical Field
The application relates to the technical field of intelligent control of electric automobiles, in particular to a method and a device for estimating remaining endurance mileage of an electric automobile.
Background
The electric vehicle continues a journey by electric power, and when charging, a specific charging position is required and a certain charging time is required, so that when the electric vehicle is used, the residual electric quantity and the residual journey mileage of the electric vehicle need to be estimated so as to prompt a driver to charge in time. Therefore, once the remaining range estimation is inaccurate, the use of the driver is affected.
In the related art, the remaining driving range of the electric vehicle is generally estimated according to a linear model of the state of charge and the number of charging and discharging of the power battery.
However, the remaining driving range of the electric vehicle is influenced by factors such as driving style, battery activity, environmental conditions, and road conditions, and the result of estimating the remaining driving range of the electric vehicle through the model is not accurate and reliable, which may influence the energy management of the power battery by the user and reduce the vehicle using experience of the user.
Content of application
The application provides a method and a device for estimating the remaining endurance mileage of an electric automobile, which are used for solving the problems that in the related art, the result of estimating the remaining endurance mileage of the electric automobile through a model is not accurate and reliable, the energy management of a user on a power battery is influenced, the vehicle using experience of the user is reduced, and the like.
The embodiment of the first aspect of the application provides a method for estimating the remaining endurance mileage of an electric vehicle, which comprises the following steps: matching the current attenuation value of the power battery according to the current state parameter of the power battery; calculating a current available energy of the power battery based on the current attenuation value in combination with an initial available energy of the power battery; and calculating the pure discharge energy of the power battery according to the state parameters of the vehicle, calculating the actual energy consumption of the vehicle, and calculating the actual remaining endurance mileage of the electric automobile based on the current available energy.
Optionally, in an embodiment of the present application, the matching the current attenuation value of the power battery according to the current state parameter of the power battery includes: acquiring the accumulated driving mileage of the vehicle; matching attenuation coefficients corresponding to the accumulated driving mileage by using a mileage-coefficient relation table; calculating the current attenuation value based on the attenuation coefficient.
Optionally, in an embodiment of the present application, the calculating the pure discharge energy of the power battery according to the state parameter of the vehicle includes: obtaining total battery discharge energy according to the terminal voltage and the discharge current of the power battery; obtaining battery recovery energy according to the terminal voltage and the recovery current of the power battery; and obtaining the pure discharge energy according to the difference value of the total discharge energy of the battery and the recovered energy of the battery.
Optionally, in an embodiment of the present application, the calculating the actual energy consumption of the vehicle further includes: detecting a current mode of the vehicle; if the current working condition is a running mode, calculating the actual energy consumption according to the actual speed of the vehicle; and if the current working condition is a static mode, calculating the actual energy consumption according to the current available energy.
Optionally, in an embodiment of the present application, the calculating an actual remaining range of the electric vehicle based on the currently available energy includes: judging whether the vehicle is in a charging working condition or not; and if the charging state is in the charging working condition, calculating the actual remaining endurance mileage according to the current available energy and the charging energy with reference to the actual energy consumption, and otherwise, calculating the actual remaining endurance mileage according to the current available energy with reference to the actual energy consumption.
An embodiment of a second aspect of the present application provides an apparatus for estimating remaining driving range of an electric vehicle, including: the matching module is used for matching the current attenuation value of the power battery according to the current state parameter of the power battery; a calculation module for calculating a current available energy of the power battery based on the current attenuation value in combination with an initial available energy of the power battery; and the estimation module is used for calculating pure discharge energy of the power battery according to the state parameters of the vehicle, calculating actual energy consumption of the vehicle and calculating actual remaining endurance mileage of the electric automobile based on the current available energy.
Optionally, in an embodiment of the application, the matching module is specifically configured to obtain an accumulated traveled distance of the vehicle, match an attenuation coefficient corresponding to the accumulated traveled distance by using a distance-coefficient relation table, and calculate the current attenuation value based on the attenuation coefficient.
Optionally, in an embodiment of the present application, the estimation module is further configured to obtain a total battery discharge energy according to the terminal voltage and the discharge current of the power battery, obtain a battery recovery energy according to the terminal voltage and the recovery current of the power battery, and obtain the pure discharge energy according to a difference between the total battery discharge energy and the battery recovery energy.
An embodiment of a third aspect of the present application provides a vehicle, comprising: the device comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, wherein the processor executes the program to realize the method for estimating the remaining endurance mileage of the electric automobile.
A fourth aspect of the present application provides a computer-readable storage medium, on which a computer program is stored, where the computer program is executed by a processor to implement the method for estimating remaining driving range of an electric vehicle according to the foregoing embodiment.
After the attenuation value of the battery is determined, the actual available energy of the battery is calculated, pure discharge energy is calculated based on the state parameters of the vehicle, the actual remaining endurance mileage is obtained, the estimation accuracy is improved, the method is more accurate and reliable, and the use experience is guaranteed. Therefore, the technical problems that in the related art, the result of estimating the remaining driving mileage of the electric automobile through the model is inaccurate and reliable, the energy management of a user on the power battery is influenced, the vehicle using experience of the user is reduced and the like are solved.
Additional aspects and advantages of the present application will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the present application.
Drawings
The foregoing and/or additional aspects and advantages of the present application will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
fig. 1 is a flowchart of a remaining driving range estimation method for an electric vehicle according to an embodiment of the present application;
FIG. 2 is a schematic diagram of a vehicle hardware signal interaction provided according to an embodiment of the present application;
FIG. 3 is a logic diagram of a remaining driving range estimation method for an electric vehicle according to an embodiment of the present application;
fig. 4 is an exemplary diagram of a remaining driving range estimation apparatus of an electric vehicle according to an embodiment of the present application;
FIG. 5 is a schematic structural diagram of a vehicle according to an embodiment of the present application.
Description of reference numerals: 100-matching module, 200-computing module, 300-estimating module, 501-memory, 502-processor, 503-communication interface.
Detailed Description
Reference will now be made in detail to embodiments of the present application, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are exemplary and intended to be used for explaining the present application and should not be construed as limiting the present application.
The following describes a remaining driving range estimation method and device of an electric vehicle according to an embodiment of the present application with reference to the drawings. In the method, after the attenuation value of the battery is determined, the actual available energy of the battery is calculated, pure discharge energy is calculated based on the state parameters of the vehicle, the actual remaining endurance mileage is obtained, the estimation accuracy is improved, the method is more accurate and reliable, and the use experience is ensured. Therefore, the problems that in the related art, the result of estimating the remaining driving mileage of the electric automobile through the model is inaccurate and reliable, the energy management of a user on the power battery is influenced, the vehicle using experience of the user is reduced and the like are solved.
Specifically, fig. 1 is a flowchart of a remaining driving range estimation method of an electric vehicle according to an embodiment of the present application.
As shown in fig. 1, the method for estimating remaining driving range of an electric vehicle includes the following steps:
in step S101, the current attenuation value of the power battery is adapted according to the current state parameter of the power battery.
It can be understood that the service life of the power battery can affect the endurance performance of the power battery, and the endurance performance of the power battery can be attenuated along with the service life. When estimating the remaining driving range of the electric vehicle, the attenuation value of the power battery needs to be considered. The embodiment of the application acquires the attenuation value of the power battery through the current state parameter of the power battery.
Optionally, in an embodiment of the present application, matching the current attenuation value of the power battery according to the current state parameter of the power battery includes: acquiring the accumulated driving mileage of the vehicle; matching attenuation coefficients corresponding to the accumulated driving mileage by using a mileage-coefficient relation table; a current attenuation value is calculated based on the attenuation coefficient.
As a possible implementation manner, in the embodiment of the present application, the current state of the power battery may be reflected by the accumulated driving mileage of the electric vehicle. And matching the accumulated driving mileage of the vehicle with the mileage-coefficient relation table to obtain an attenuation coefficient corresponding to the accumulated driving mileage of the vehicle, and calculating the current attenuation value of the power battery based on the attenuation coefficient. It is understood that the method for calculating the current attenuation value of the power battery based on the attenuation coefficient may be replaced by a corresponding relationship, or may be calculated by a calculation formula, and the like, and the method may be set by a person skilled in the art according to actual situations, and is not particularly limited.
The mileage-coefficient relationship table may be obtained through a network database, or may be obtained by recording historical use conditions of a plurality of vehicles, and the like, and is not particularly limited.
In step S102, the current available energy of the power cell is calculated based on the current attenuation value in combination with the initial available energy of the power cell.
Specifically, the energy sources consumed by the high-voltage and low-voltage loads of the electric automobile are all from the power battery, the electric automobile has an energy recovery function, and during the running process of the automobile, the energy recovered into the power battery is finally consumed by the high-voltage and low-voltage loads of the automobile, so that the pure discharge energy of the power battery and the recovered energy of the battery form the total discharge energy of the battery.
The energy of the power battery can reflect the remaining driving range of the electric vehicle, and the embodiment of the application estimates the energy of the power battery through interaction among a battery Management system bms (battery Management system), an instrument controller icm (instrument Control module), and an anti-lock braking system abs (anti lock Brake system).
In an embodiment of the present application, the initial available energy of the power cell is the nominal energy-E of the cellnominal(kwh) the initial driving range display value is the driving range value-S advertised by the manufacturerinitial(km). After the vehicle is powered on, the battery management system BMS estimates the available energy E of the power battery from the current attenuation value of the power batteryavailableThe ICM transmits the accumulated driving range of the vehicle to the BMS for attenuation coefficient determination of the vehicle.
Available energy E of power batteryavailableThe available energy E of the power battery can be calculated by a calculation formula between the attenuation value and the initial available energy of the power battery as a possible realization modeavailableNominal energy E of batterynominal*ZCoefficient of attenuation. The attenuation value can be reflected by an attenuation coefficient, the attenuation coefficient is related to the accumulated driving mileage of the vehicle, and the specific relation is shown in table 1.
TABLE 1 Mileage-coefficient relation table
Further, after the vehicle is powered on, the BMS calculates and latches the available nominal energy of the battery, and after the vehicle is powered on next time, the BMS recalculates and latches the available nominal energy, so that the value of the vehicle after each power-on shows the current state of the battery, and the available nominal energy is not allowed to change every discharge cycle, thereby preventing the jump of the residual endurance of the subsequent calculation and causing the panic of a user.
In step S103, the pure discharge energy of the power battery is calculated according to the state parameters of the vehicle, the actual energy consumption of the vehicle is calculated, and the actual remaining driving range of the electric vehicle is calculated based on the currently available energy.
Through the introduction, the pure discharge energy of the power battery and the recovered energy of the battery form the total discharge energy of the battery, and the embodiment of the application estimates the remaining endurance mileage through the pure discharge energy angle of the power battery.
As a possible implementation mode, after the vehicle is powered on, the ABS sends a vehicle speed signal to the BMS through the CAN in real time, the BMS collects current and voltage at two ends of the battery in real time to calculate pure discharge energy of the battery, and the BMS performs mileage calculation in a certain period according to the vehicle speed signal and calculates energy consumption of the vehicle by combining the pure discharge energy of the battery. And obtaining the residual available energy of the battery according to the total available energy and the pure discharge energy of the battery, estimating the residual endurance mileage of the vehicle by combining the energy consumption of the vehicle, and sending the residual endurance mileage to the ICM for displaying.
Optionally, in an embodiment of the present application, calculating a pure discharge energy of the power battery according to a state parameter of the vehicle includes: obtaining total discharge energy of the battery according to the terminal voltage and the discharge current of the power battery; obtaining battery recovery energy according to the terminal voltage and the recovery current of the power battery; and obtaining pure discharge energy according to the difference between the total discharge energy of the battery and the recovered energy of the battery.
According to the method, the pure discharge energy of the power battery is calculated by collecting the current and the voltage at two ends of the battery in real time through the BMS. As a possible implementation manner, specifically, the following is:
obtaining total battery discharge energy according to the terminal voltage and the discharge current of the power battery:voltage (V), i) of U-battery terminalNA discharge current (A) of the battery;
obtaining battery recovery energy according to the terminal voltage and the recovery current of the power battery: voltage (V), i) of U-battery terminalpA recovered current (A) of the battery;
obtaining pure discharge energy according to the difference between the total discharge energy of the battery and the recovered energy of the battery: epure=Etotal-Erecycle。
The above calculation process is only an example, and is not a limitation on the pure discharge energy calculation manner of the power battery of the present application, and a person skilled in the art may set the calculation process according to practical situations, and is not particularly limited.
Optionally, in an embodiment of the present application, calculating the actual energy consumption of the vehicle further includes: detecting the current mode of the vehicle; if the current working condition is the running mode, calculating the actual energy consumption according to the actual speed of the vehicle; and if the current working condition is the static mode, calculating the actual energy consumption according to the current available energy.
It can be understood that the energy consumption of the vehicle during running and stopping is different, so that when the actual energy consumption of the vehicle is analyzed, the analysis is carried out through two situations of the energy consumption of the running state of the vehicle and the energy consumption of the stopping state of the vehicle.
And in the running state of the vehicle, the energy consumption of the vehicle is related to the current formal speed, the current speed of the vehicle is collected in real time through the ABS, and the BMS calculates the real-time energy consumption Q (kwh/km) of the vehicle according to the pure discharge energy of the battery and the real-time vehicle speed sent by the ABS. As a specific calculation method, the driving mileage of the vehicle is first calculated:v-vehicle speed of travel ((v))km/h); and then calculating the energy consumption of the vehicle in the driving state: qdrive=Epure/Sdrive。
In the vehicle quiescent condition, the embodiment of this application can carry out the energy consumption according to the available energy of battery and the continuation of the journey of producer propaganda and calculate: qstatic=Eavailable/Sinitial。
And after the pure discharge energy of the power battery and the actual energy consumption of the vehicle are obtained, calculating the actual remaining endurance mileage of the electric vehicle according to the remaining energy and the energy consumption of the power battery. It will be appreciated that the current remaining available energy E of the power cellremainingCurrent available energy E of power batteryavailablePure discharge energy E of the power cellpure。
Optionally, in an embodiment of the present application, calculating the actual remaining range of the electric vehicle based on the currently available energy includes: judging whether the vehicle is in a charging working condition or not; and if the charging state is satisfied, calculating the actual remaining endurance mileage according to the current available energy and the charging energy with reference to the actual energy consumption, and otherwise, calculating the actual remaining endurance mileage according to the current available energy with reference to the actual energy consumption.
The actual remaining endurance mileage of the vehicle is related to the vehicle working condition, for example, the calculation modes of the remaining endurance mileage of the vehicle are different under the charging working condition and the non-charging working condition, and before the calculation of the remaining endurance mileage, the working condition of the vehicle is judged at first.
When the vehicle is in the charging working condition, the available energy E of the battery under the charging conditionacIs the residual energy E of the batteryremainingPlus energy E charged into the batteryCharging deviceI.e. Eac=Eremaining+ECharging device,U is the voltage across the battery, iCFor charging current at battery terminal, EremainingThe remaining energy of the battery in the case of vehicle discharge.
According to the available energy E of the batteryacAnd nominal energy E of the batterynominalEstimating chargerIn addition, the remaining endurance mileage is Eac/Enominal*Sinitial。
When the vehicle is in a non-charging working condition, the endurance display of the non-charging state of the vehicle is divided into two conditions of vehicle running and vehicle static, and when the vehicle is in the running process, the residual endurance mileage is as follows: e ═ Sremaining/Qdrive(ii) a When the vehicle is in a static state, the remaining driving range is as follows: e ═ Sremaining/Qstatic。
And calculating the remaining endurance mileage of the vehicle according to different working conditions, and displaying the remaining endurance mileage after the remaining endurance mileage is obtained, for example, sending the remaining endurance mileage to the instrument for displaying in a CAN communication mode, memorizing the subsequent endurance mileage after the vehicle is powered off, and sending the memorized endurance mileage value to the instrument for displaying after the vehicle is powered on again.
The following describes a remaining driving range estimation method of an electric vehicle according to an embodiment of the present application with reference to the accompanying drawings.
As shown in fig. 2, the battery current and the battery voltage are collected in real time by the battery management system BMS, the current speed of the vehicle is collected in real time by the anti-lock braking system ABS and transmitted to the battery management system BMS, and the battery management system BMS calculates the remaining driving mileage according to the acquired information and transmits the remaining driving mileage to the ICM meter controller ICM for display through the CAN communication.
As shown in fig. 3, a logic flow of the remaining driving range estimation method of the electric vehicle is shown, after the vehicle is powered on, the previously stored remaining driving range value is displayed through the meter, the available energy of the battery is estimated at the same time, the remaining driving range of the vehicle is calculated according to the charging condition of the vehicle, and the remaining driving range is displayed through the meter in real time. And after the vehicle is powered off, storing the calculated current remaining driving mileage so as to display the current remaining driving mileage of the vehicle after the vehicle is powered on next time.
According to the method for estimating the remaining endurance mileage of the electric automobile, after the attenuation value of the battery is determined, the actual available energy of the battery is calculated, the pure discharge energy is calculated based on the state parameters of the automobile, the actual remaining endurance mileage is obtained, the estimation accuracy is improved, the method is more accurate and reliable, and the use experience is guaranteed. The technical problems that the result of estimating the remaining endurance mileage of the electric automobile through the model is inaccurate and reliable, the energy management of a user on a power battery is influenced, and the automobile using experience of the user is reduced are solved.
Next, a remaining driving range estimation apparatus of an electric vehicle according to an embodiment of the present application will be described with reference to the drawings.
Fig. 4 is a block diagram schematically illustrating a remaining driving range estimation apparatus of an electric vehicle according to an embodiment of the present application.
As shown in fig. 4, the remaining range estimation device 10 of the electric vehicle includes: a matching module 100, a calculation module 200 and an evaluation module 300.
The matching module 100 is configured to match a current attenuation value of the power battery according to a current state parameter of the power battery. A calculation module 200 for calculating a current available energy of the power cell based on the current attenuation value in combination with the initial available energy of the power cell. And the estimation module 300 is used for calculating pure discharge energy of the power battery according to the state parameters of the vehicle, calculating actual energy consumption of the vehicle, and calculating actual remaining endurance mileage of the electric automobile based on the current available energy.
Optionally, in an embodiment of the present application, the matching module is specifically configured to obtain an accumulated driving mileage of the vehicle, match an attenuation coefficient corresponding to the accumulated driving mileage by using a mileage-coefficient relation table, and calculate a current attenuation value based on the attenuation coefficient.
Optionally, in an embodiment of the present application, the estimation module is further configured to obtain a total discharge energy of the battery according to the terminal voltage and the discharge current of the power battery, obtain a recovered energy of the battery according to the terminal voltage and the recovered current of the power battery, and obtain a pure discharge energy according to a difference between the total discharge energy of the battery and the recovered energy of the battery.
It should be noted that the explanation of the embodiment of the remaining driving range estimation method for an electric vehicle is also applicable to the remaining driving range estimation device for an electric vehicle of the embodiment, and is not repeated here.
According to the device for estimating the remaining endurance mileage of the electric automobile, after the attenuation value of the battery is determined, the actual available energy of the battery is calculated, the pure discharge energy is calculated based on the state parameters of the vehicle, the actual remaining endurance mileage is obtained, the estimation accuracy is improved, the device is more accurate and reliable, and the use experience is guaranteed. The technical problems that the result of estimating the remaining endurance mileage of the electric automobile through the model is inaccurate and reliable, the energy management of a user on a power battery is influenced, and the automobile using experience of the user is reduced are solved.
Fig. 5 is a schematic structural diagram of a vehicle according to an embodiment of the present application. The electronic device may include:
a memory 501, a processor 502, and a computer program stored on the memory 501 and executable on the processor 502.
The processor 502 executes the program to implement the remaining driving range estimation method of the electric vehicle provided in the above-described embodiment.
Further, the vehicle further includes:
a communication interface 503 for communication between the memory 501 and the processor 502.
A memory 501 for storing computer programs that can be run on the processor 502.
The memory 501 may comprise high-speed RAM memory, and may also include non-volatile memory (non-volatile memory), such as at least one disk memory.
If the memory 501, the processor 502 and the communication interface 503 are implemented independently, the communication interface 503, the memory 501 and the processor 502 may be connected to each other through a bus and perform communication with each other. The bus may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended ISA (EISA) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown in FIG. 5, but this is not intended to represent only one bus or type of bus.
Optionally, in a specific implementation, if the memory 501, the processor 502, and the communication interface 503 are integrated on a chip, the memory 501, the processor 502, and the communication interface 503 may complete communication with each other through an internal interface.
The processor 502 may be a Central Processing Unit (CPU), an Application Specific Integrated Circuit (ASIC), or one or more Integrated circuits configured to implement embodiments of the present Application.
The present embodiment also provides a computer-readable storage medium, on which a computer program is stored, wherein the program is executed by a processor to implement the method for estimating remaining driving range of an electric vehicle as above.
In the description herein, reference to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the application. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or N embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present application, "N" means at least two, e.g., two, three, etc., unless specifically limited otherwise.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more N executable instructions for implementing steps of a custom logic function or process, and alternate implementations are included within the scope of the preferred embodiment of the present application in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of implementing the embodiments of the present application.
It should be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the N steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. If implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
Claims (10)
1. The method for estimating the remaining driving mileage of the electric automobile is characterized by comprising the following steps of:
matching the current attenuation value of the power battery according to the current state parameter of the power battery;
calculating a current available energy of the power battery based on the current attenuation value in combination with an initial available energy of the power battery; and
and calculating the pure discharge energy of the power battery according to the state parameters of the vehicle, calculating the actual energy consumption of the vehicle, and calculating the actual remaining endurance mileage of the electric automobile based on the current available energy.
2. The method of claim 1, wherein said matching the current attenuation value of the power cell according to the current state parameter of the power cell comprises:
acquiring the accumulated driving mileage of the vehicle;
matching attenuation coefficients corresponding to the accumulated driving mileage by using a mileage-coefficient relation table;
calculating the current attenuation value based on the attenuation coefficient.
3. The method of claim 1, wherein said calculating a net discharge energy of said power cell based on vehicle state parameters comprises:
obtaining total battery discharge energy according to the terminal voltage and the discharge current of the power battery;
obtaining battery recovery energy according to the terminal voltage and the recovery current of the power battery;
and obtaining the pure discharge energy according to the difference value of the total discharge energy of the battery and the recovered energy of the battery.
4. The method of claim 1, wherein the calculating the actual energy consumption of the vehicle further comprises:
detecting a current mode of the vehicle;
if the current working condition is a running mode, calculating the actual energy consumption according to the actual speed of the vehicle;
and if the current working condition is a static mode, calculating the actual energy consumption according to the current available energy.
5. The method according to any one of claims 1-4, wherein the calculating an actual remaining range of the electric vehicle based on the currently available energy comprises:
judging whether the vehicle is in a charging working condition or not;
and if the charging state is in the charging working condition, calculating the actual remaining endurance mileage according to the current available energy and the charging energy with reference to the actual energy consumption, and otherwise, calculating the actual remaining endurance mileage according to the current available energy with reference to the actual energy consumption.
6. A remaining driving range estimation device of an electric vehicle, comprising:
the matching module is used for matching the current attenuation value of the power battery according to the current state parameter of the power battery;
a calculation module for calculating a current available energy of the power battery based on the current attenuation value in combination with an initial available energy of the power battery; and
and the estimation module is used for calculating pure discharge energy of the power battery according to the state parameters of the vehicle, calculating actual energy consumption of the vehicle and calculating actual remaining endurance mileage of the electric automobile based on the current available energy.
7. The apparatus of claim 6, wherein the matching module is specifically configured to obtain an accumulated driving mileage of the vehicle, match an attenuation coefficient corresponding to the accumulated driving mileage using a mileage-coefficient relation table, and calculate the current attenuation value based on the attenuation coefficient.
8. The apparatus of claim 6, wherein the estimation module is further configured to obtain a total battery discharge energy according to the terminal voltage and the discharge current of the power battery, obtain a battery recovery energy according to the terminal voltage and the recovery current of the power battery, and obtain the pure discharge energy according to a difference between the total battery discharge energy and the battery recovery energy.
9. A vehicle, characterized by comprising: a memory, a processor and a computer program stored on the memory and operable on the processor, the processor executing the program to implement the remaining range estimation method of an electric vehicle according to any one of claims 1 to 5.
10. A computer-readable storage medium having a computer program stored thereon, wherein the program is executed by a processor for implementing the remaining range estimation method of an electric vehicle according to any one of claims 1 to 5.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202111145766.5A CN113665431A (en) | 2021-09-28 | 2021-09-28 | Method and device for estimating remaining endurance mileage of electric automobile |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202111145766.5A CN113665431A (en) | 2021-09-28 | 2021-09-28 | Method and device for estimating remaining endurance mileage of electric automobile |
Publications (1)
Publication Number | Publication Date |
---|---|
CN113665431A true CN113665431A (en) | 2021-11-19 |
Family
ID=78550484
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202111145766.5A Pending CN113665431A (en) | 2021-09-28 | 2021-09-28 | Method and device for estimating remaining endurance mileage of electric automobile |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN113665431A (en) |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN114633833A (en) * | 2022-04-25 | 2022-06-17 | 江苏小牛电动科技有限公司 | Method, device, equipment and storage medium for determining running parameters of electric bicycle |
WO2023216536A1 (en) * | 2022-05-09 | 2023-11-16 | 潍柴动力股份有限公司 | Electric vehicle range estimation method, apparatus and system, and storage medium |
WO2024021636A1 (en) * | 2022-07-28 | 2024-02-01 | 上汽通用五菱汽车股份有限公司 | Distance to empty determining method and apparatus |
Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103802675A (en) * | 2014-02-20 | 2014-05-21 | 安徽江淮汽车股份有限公司 | Detecting method and system for remaining mileage of electric automobile |
US20170361729A1 (en) * | 2015-01-13 | 2017-12-21 | Volvo Car Corporation | Method and arrangement for determining a value of the state of energy of a battery in a vehicle |
CN108819722A (en) * | 2018-06-01 | 2018-11-16 | 汉腾汽车有限公司 | A kind of electric car course continuation mileage predictor method |
CN109278562A (en) * | 2018-11-27 | 2019-01-29 | 安徽江淮汽车集团股份有限公司 | A kind of evaluation method of Remainder Range of Electric Vehicle |
CN109532555A (en) * | 2018-10-19 | 2019-03-29 | 北京经纬恒润科技有限公司 | A kind of calculation method and device of course continuation mileage |
CN111216730A (en) * | 2020-01-15 | 2020-06-02 | 山东理工大学 | Method, device, storage medium and equipment for estimating remaining driving range of electric automobile |
CN112590556A (en) * | 2021-01-06 | 2021-04-02 | 潍柴动力股份有限公司 | Method for calculating driving range of automobile |
-
2021
- 2021-09-28 CN CN202111145766.5A patent/CN113665431A/en active Pending
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103802675A (en) * | 2014-02-20 | 2014-05-21 | 安徽江淮汽车股份有限公司 | Detecting method and system for remaining mileage of electric automobile |
US20170361729A1 (en) * | 2015-01-13 | 2017-12-21 | Volvo Car Corporation | Method and arrangement for determining a value of the state of energy of a battery in a vehicle |
CN108819722A (en) * | 2018-06-01 | 2018-11-16 | 汉腾汽车有限公司 | A kind of electric car course continuation mileage predictor method |
CN109532555A (en) * | 2018-10-19 | 2019-03-29 | 北京经纬恒润科技有限公司 | A kind of calculation method and device of course continuation mileage |
CN109278562A (en) * | 2018-11-27 | 2019-01-29 | 安徽江淮汽车集团股份有限公司 | A kind of evaluation method of Remainder Range of Electric Vehicle |
CN111216730A (en) * | 2020-01-15 | 2020-06-02 | 山东理工大学 | Method, device, storage medium and equipment for estimating remaining driving range of electric automobile |
CN112590556A (en) * | 2021-01-06 | 2021-04-02 | 潍柴动力股份有限公司 | Method for calculating driving range of automobile |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN114633833A (en) * | 2022-04-25 | 2022-06-17 | 江苏小牛电动科技有限公司 | Method, device, equipment and storage medium for determining running parameters of electric bicycle |
WO2023216536A1 (en) * | 2022-05-09 | 2023-11-16 | 潍柴动力股份有限公司 | Electric vehicle range estimation method, apparatus and system, and storage medium |
WO2024021636A1 (en) * | 2022-07-28 | 2024-02-01 | 上汽通用五菱汽车股份有限公司 | Distance to empty determining method and apparatus |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN109367433B (en) | Intelligent charging stake | |
CN111806239B (en) | Electric vehicle endurance mileage measuring method, electronic device, and storage medium | |
CN109532556B (en) | Method and system for acquiring endurance mileage of pure electric vehicle | |
CN113665431A (en) | Method and device for estimating remaining endurance mileage of electric automobile | |
CN109532555B (en) | Method and device for calculating endurance mileage | |
CN110549904B (en) | Electric automobile and driving range calculation method and device thereof | |
CN107933317B (en) | Method, device and equipment for estimating remaining driving range and pure electric vehicle | |
US8666576B2 (en) | Technique for calculating distance to empty in electric vehicle | |
CN111422070A (en) | Method and device for detecting endurance mileage and new energy vehicle | |
US11125822B2 (en) | Method for evaluating an electric battery state of health | |
KR101509745B1 (en) | Method for estimating power consumption of air conditioner | |
US9539904B2 (en) | Energy consumption rate in distance domain | |
CN111376790A (en) | Method, apparatus, device and medium for determining a mileage of a vehicle | |
CN110077274B (en) | Estimation method, device and equipment for travelling distance of logistics electric vehicle | |
CN116572799B (en) | Power battery charge duration prediction method, system and terminal based on deep learning | |
KR20140095780A (en) | Apparatus and method for estimating a drivable distance of an electronic vehecle | |
CN113093027A (en) | Battery SOC calibration method, device, system, medium and program product | |
CN113459896B (en) | Method and device for determining endurance mileage of electric vehicle | |
EP1055934B1 (en) | Battery remaining capacity measuring apparatus suitable for hybrid car | |
CN117246188A (en) | Estimation method and system for remaining endurance mileage of electric automobile | |
WO2022024847A1 (en) | Computing system, battery deterioration predicting method, and battery deterioration predicting program | |
CN115195527A (en) | Energy consumption control method and device for power battery | |
CN114043875A (en) | Remaining mileage estimation deviation analysis method and system based on big data | |
CN112364082A (en) | Energy consumption analysis method and device for vehicle | |
CN110879365B (en) | Information providing device, information providing method, and storage medium |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20211119 |
|
RJ01 | Rejection of invention patent application after publication |