CN112277729B - Method and device for predicting total driving mileage of electric vehicle - Google Patents
Method and device for predicting total driving mileage of electric vehicle Download PDFInfo
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- 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
- B60L58/12—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries responding to state of charge [SoC]
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- 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
- B60L58/16—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries responding to battery ageing, e.g. to the number of charging cycles or the state of health [SoH]
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/367—Software therefor, e.g. for battery testing using modelling or look-up tables
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/385—Arrangements for measuring battery or accumulator variables
- G01R31/387—Determining ampere-hour charge capacity or SoC
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/392—Determining battery ageing or deterioration, e.g. state of health
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- 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
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- 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
Abstract
The invention belongs to the field of electric vehicle mileage prediction and discloses a method and a device for predicting total driving mileage of an electric vehicle. The method comprises the following steps: acquiring whole vehicle running data of a test vehicle under different running conditions, and counting according to the whole vehicle running data to obtain the running speed and power of the test vehicle in unit time; inputting the running speed and power in unit time into a battery simulation model, and calculating to obtain the battery life attenuation of the single charge-discharge cycle of the test vehicle and the corresponding running mileage; and performing multiple charge-discharge cycle simulation calculation by using the battery simulation model to obtain the accumulated battery life attenuation of the multiple charge-discharge cycles of the test vehicle, calculating the corresponding accumulated driving mileage when the accumulated battery life attenuation reaches the attenuation of the battery life at the end, and predicting the total driving mileage of the electric vehicle according to the accumulated driving mileage. The method can accurately predict the total mileage that the electric vehicle can drive under the full life cycle of the power battery.
Description
Technical Field
The invention relates to the technical field of electric vehicle mileage prediction, in particular to a method and a device for predicting total electric vehicle mileage.
Background
At present, the occupation of the electric automobile is gradually increased, and the electric automobile is limited by three factors in the using process: firstly, safety is realized, and the power battery is prevented from being ignited and exploded in use; the usability is realized, and the power and the endurance mileage of the electric automobile meet the requirements; and thirdly, the economy, the service life of the power battery and the mileage need to meet the requirements. From the economical point of view, the total driving range of the electric automobile needs to be predicted.
At the present stage, the prediction precision of the driving mileage of the electric automobile is poor. The reason is that the driving mileage of the electric automobile is related to various factors such as the performance of the power battery, driving habits, road conditions and the like. Therefore, a method for accurately predicting the total driving range of the electric vehicle is needed.
Disclosure of Invention
The embodiment of the invention aims to provide a method and a device for predicting the total driving mileage of an electric vehicle, so as to accurately predict the total driving mileage of the electric vehicle.
In order to achieve the above object, a first aspect of the present invention provides a method for predicting a total mileage driven by an electric vehicle, the method comprising:
s1) acquiring the whole vehicle running data of the test vehicle under different running conditions, and counting the running speed and power of the test vehicle in unit time according to the whole vehicle running data;
s2) inputting the running speed and power in unit time into a battery simulation model, and calculating to obtain the battery life attenuation of the test vehicle in a single charge-discharge cycle and the corresponding running mileage;
s3), carrying out simulation calculation of multiple charge and discharge cycles by using the battery simulation model to obtain the accumulated battery life attenuation of the test vehicle in multiple charge and discharge cycles, calculating the corresponding accumulated driving mileage when the accumulated battery life attenuation reaches the attenuation of the battery life at the end, and predicting the total driving mileage of the electric vehicle according to the accumulated driving mileage of the test vehicle.
Further, step S2) of inputting the driving speed and the power in the unit time into a battery simulation model, and calculating the battery life attenuation and the corresponding driving range of the test vehicle in a single charge-discharge cycle, includes:
s21) calculating the current value when the battery discharges according to the power in the unit time, and calculating the temperature of the battery according to the current value;
s22) counting the current value distribution interval and the temperature distribution interval of the battery in the single discharge process, calculating the accumulated ampere-hour of each current value distribution interval and each temperature distribution interval, and calculating the battery life attenuation of the battery in the single discharge process;
s23) calculating the battery life attenuation amount of the battery in a single charging process;
s24) adding the battery life attenuation in the single discharging process and the battery life attenuation in the single charging process to obtain the battery life attenuation of the test vehicle in a single charge-discharge cycle;
s25) calculating to obtain the time length of the battery for completing single discharge according to the accumulated ampere hour, and calculating to obtain the driving mileage corresponding to the single discharge process of the test vehicle according to the time length of completing single discharge, the driving speed in unit time and the power in unit time.
Further, the calculating a current value at the time of battery discharge from the power per unit time in step S21) includes:
calculating to obtain a first current value according to the power in the unit time and the cell voltage of the battery;
calculating to obtain a second current value according to the core temperature of the battery and the current SOC value of the battery;
selecting the smaller of the first current value and the second current value as a current value at which the battery is discharged.
Further, the calculating the temperature of the battery according to the current value in step S21) includes:
calculating the heat generation quantity of the battery cell in unit time according to the current value of the battery during discharging;
calculating the heat dissipation capacity of the battery;
and calculating the temperature of the battery according to the generated heat and the radiated heat.
Further, in step S22), the battery life decay amount of the battery during a single discharge is calculated according to the following formula:
wherein i is the current value distribution interval of battery discharge, j is the temperature distribution interval of battery discharge, CycleijCapacity is the rated Capacity of the battery cell, Capacity is the cycle life of the battery celllossIs the amount of battery life decay, AhijAnd m is the number of the current value distribution intervals, and n is the number of the temperature distribution intervals.
Further, step S23) calculates the amount of battery life decay of the battery during a single charge, and the calculation formula is:
Capacityloss-cha＝lossfast*i1+lossslow*i2
wherein Capacity isloss-chaIs the amount of battery life decay, loss, of the battery during a single chargefastIs the battery life decay value, loss, of the battery in a single quick charge processslowFor the value of the decay of the battery life of the battery during a single slow charge, i1For the proportion of the fast charge in the number of charges, i2Is the proportion of the slow charge in the number of charges, and i1+i2＝1。
Further, step S25) obtaining a time length for completing single discharge of the battery according to the accumulated ampere-hour calculation, and obtaining a driving range corresponding to the single discharge process of the test vehicle according to the time length for completing single discharge, the driving speed in unit time, and the power in unit time by calculation, including:
and calculating a real-time SOC value when the battery discharges according to the accumulated ampere-hour, counting a time length when the real-time SOC value reaches a discharge cut-off SOC value as a time length when the battery finishes single discharge, and calculating to obtain a driving mileage corresponding to the single discharge process of the test vehicle according to the time length when the single discharge is finished, the driving speed in unit time and the power in unit time.
Further, before inputting the driving speed and the power per unit time into the battery simulation model in step S2), the method further includes:
and converting the running speed and the power in the unit time into simulation input data matched with the battery simulation model.
A second aspect of the present invention provides an electric vehicle total mileage predicting device, the device including:
the acquisition module is used for acquiring finished automobile running data of the test automobile under different running conditions, and counting the running speed and power of the electric automobile in unit time according to the finished automobile running data;
the simulation calculation module is used for carrying out simulation calculation by utilizing the running speed and the power in unit time to obtain the battery life attenuation of the test vehicle in a single charge-discharge cycle and the corresponding running mileage; carrying out simulation calculation of multiple charge-discharge cycles to obtain the accumulated battery life attenuation of the test vehicle in multiple charge-discharge cycles, and calculating the corresponding accumulated driving mileage when the accumulated battery life attenuation reaches the attenuation of the battery life at the end;
and the prediction module is used for predicting the total driving mileage of the electric vehicle according to the accumulated driving mileage of the test vehicle.
Further, the obtaining of the battery life attenuation amount and the corresponding mileage of the test vehicle in a single charge-discharge cycle by performing simulation calculation using the driving speed and the power in the unit time includes:
calculating a current value when the battery is discharged according to the power in the unit time, and calculating the temperature of the battery according to the current value;
counting the current value distribution interval and the temperature distribution interval of the battery in a single discharging process, calculating the accumulated ampere-hour of each current value distribution interval and each temperature distribution interval, and calculating the life attenuation of the battery in the single discharging process;
calculating the battery life attenuation of the battery in a single charging process;
adding the battery life attenuation in the single discharging process and the battery life attenuation in the single charging process to obtain the battery life attenuation of the test vehicle in a single charging and discharging cycle;
and calculating to obtain the time length of the battery for completing the single discharge according to the accumulated ampere hour, and calculating to obtain the driving mileage corresponding to the single discharge process of the test vehicle according to the time length for completing the single discharge, the driving speed in unit time and the power in unit time.
According to the method for predicting the total driving mileage of the electric vehicle, provided by the embodiment of the invention, the whole vehicle driving data under different driving conditions are obtained by adopting the test vehicle, the whole vehicle driving data are used as simulation input data based on the relation between the battery discharging condition and the whole vehicle driving mileage, the battery simulation model is adopted to simulate the battery operation, and the driving mileage and the battery service life attenuation corresponding to the single charging and discharging of the battery are calculated. And performing multiple charge-discharge cycle simulation by using the battery simulation model, and calculating the total driving mileage of the electric vehicle when the attenuation of the power battery reaches the attenuation amount when the service life of the battery is terminated, thereby accurately predicting the total driving mileage of the electric vehicle in the full life cycle of the power battery.
Drawings
The accompanying drawings, which are included to provide a further understanding of the embodiments of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the embodiments of the invention without limiting the embodiments of the invention. In the drawings:
FIG. 1 is a flow chart of a method for predicting total mileage driven by an electric vehicle according to an embodiment of the present invention;
FIG. 2 is a flowchart of step S2 in FIG. 1;
fig. 3 is a block diagram of an electric vehicle total mileage predicting apparatus according to an embodiment of the present invention.
Detailed Description
The following detailed description of embodiments of the invention refers to the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating the present invention, are given by way of illustration and explanation only, not limitation.
Fig. 1 is a flowchart of a method for predicting a total driving range of an electric vehicle according to an embodiment of the present invention. As shown in fig. 1, a method for predicting a total driving mileage of an electric vehicle according to an embodiment of the present invention includes the following steps:
s1) acquiring the whole vehicle running data of the test vehicle under different running conditions, and counting the running speed and power of the test vehicle in unit time according to the whole vehicle running data.
The method comprises the steps of obtaining running data (including speed, power and time) of a test vehicle under different road conditions such as high speed, suburbs, urban areas and the like and different driving habits, extracting whole vehicle running data under different running conditions, obtaining the running speed and power of the test vehicle in unit time according to the whole vehicle running data statistics, and selecting relatively severe working condition data (speed and power) as simulation input data by taking single charging running mileage as a target.
S2) inputting the running speed and power in unit time into a battery simulation model, and calculating to obtain the battery life attenuation of the test vehicle in a single charge-discharge cycle and the corresponding running mileage.
Before inputting the running speed and the power into a battery simulation model, converting the running speed and the power into simulation input data matched with the battery simulation model.
For example, the data collection frequency of the test vehicle is usually 0.2s, at which the running speed and power of the test vehicle are collected, and the data collection frequency of the battery simulation model is 1 s. Therefore, the driving speed and power collected at different sampling frequencies of the test vehicle need to be converted into the driving speed and power matched with the battery simulation model.
The conversion formula is as follows:
in the formula, visSpeed of i-th second, PisPower of i-th second, vi-0.2jSpeed at 0.2s interval between i seconds and i-1 seconds, Pi-0.2jPower is 0.2s between the ith second and the ith-1 second.
As shown in fig. 2, step S2) includes the following sub-steps:
s21) calculating a current value at the time of battery discharge from the power per unit time, and calculating the temperature of the battery from the current value.
Calculating to obtain a first current value I according to the power in the unit time and the cell voltage of the battery1(ii) a Calculating to obtain a second current value I according to the core temperature of the battery and the current SOC value of the battery2(ii) a Selecting the smaller of the first current value and the second current value as a current value at which the battery is discharged. For example, if I1＞I2Then I will be2As the current value during charging and discharging of the battery, if I1＜I2Then I will be1As the current value at the time of charging and discharging the battery. And selecting a smaller value as the current value of the battery during charging and discharging, ensuring that the actual operation value is smaller, and avoiding the driving mileage calculated by the simulation model from exceeding the capacity of the power battery.
Calculating the heat generation quantity Q of the battery in unit time according to the current value of the battery during discharging, wherein the calculation formula is as follows: q ═ I2×(R+R1) (ii) a Wherein I is the current value when the battery discharges, R is the electric core internal resistance of the battery, and R is the electric core internal resistance of the battery1Is the resistance value of the electrical connection of the battery.
Calculating the heat dissipation Q of the batterylossThe calculation formula is as follows:
calculating the temperature of the battery according to the generated heat and the radiated heat, wherein the calculation formula is as follows:
in the above formula, T is the temperature at the next moment, TcellIs the current temperature, T, of the batteryTcoolantFor the battery coolant temperature, TambFor the current environmental temperature, Rth1 is the thermal resistance between the battery and the water-cooling plate, Rth2 is the thermal resistance between the battery and the entire vehicle, Cth is the battery heat capacity, and m is the battery mass.
S22) counting the current value distribution interval and the temperature distribution interval of the battery in the single discharge process, calculating the accumulated ampere-hour of each current value distribution interval and each temperature distribution interval, and calculating the battery life attenuation of the battery in the single discharge process.
The battery life attenuation amount in a single discharge process is calculated by the following formula:
wherein i is the current value distribution interval of battery discharge, j is the temperature distribution interval of battery discharge, CycleijCapacity is the rated Capacity of the battery cell, Capacity is the cycle life of the battery celllossIs the amount of battery life decay, AhijAnd m is the number of the current value distribution intervals, and n is the number of the temperature distribution intervals.
S23) calculating a battery life decay amount of the battery during a single charge.
The battery life attenuation in a single charging process is calculated by the formula:
Capacityloss-cha＝lossfast*i1+lossslow*i2
in the formula, Capacityloss-chaCharging the battery in a single chargeAmount of battery life decay, lossfastIs the battery life decay value, loss, of the battery in a single quick charge processslowFor the value of the decay of the battery life of the battery during a single slow charge, i1For the proportion of the fast charge in the number of charges, i2Is the proportion of the slow charge in the number of charges, and i1+i2＝1。
S24) adding the battery life attenuation in the single discharging process and the battery life attenuation in the single charging process to obtain the battery life attenuation (Capacity) of the test vehicle in a single charging and discharging cycleloss+Capacityloss-cha)。
S25) calculating to obtain the time length of the battery for completing single discharge according to the accumulated ampere hour, and calculating to obtain the driving mileage corresponding to the single discharge process of the test vehicle according to the time length of completing single discharge, the driving speed in unit time and the power in unit time.
And calculating a real-time SOC value when the battery discharges according to the accumulated ampere-hour, counting a time length when the real-time SOC value reaches a discharge cut-off SOC value as a time length when the battery finishes single discharge, and calculating to obtain a driving mileage corresponding to the single discharge process of the test vehicle according to the time length when the single discharge is finished, the driving speed in unit time and the power in unit time.
S3) performing a plurality of charge/discharge cycle simulation calculations using the battery simulation model to obtain an accumulated battery life attenuation amount of the test vehicle for a plurality of charge/discharge cycles, calculating a corresponding accumulated driving distance when the accumulated battery life attenuation amount reaches an attenuation amount at the end of the battery life (for example, when the battery capacity attenuates to 80% of the rated capacity), and predicting the total driving distance of the electric vehicle according to the accumulated driving distance of the test vehicle.
According to the method for predicting the total driving mileage of the electric vehicle, provided by the embodiment of the invention, the whole vehicle driving data under different driving conditions are obtained by adopting the test vehicle, the whole vehicle driving data are used as simulation input data based on the relation between the battery discharging condition and the whole vehicle driving mileage, the battery simulation model is adopted to simulate the battery operation, and the driving mileage and the battery service life attenuation corresponding to the single charging and discharging of the battery are calculated. And performing multiple charge-discharge cycle simulation by using the battery simulation model, and calculating the total driving mileage of the electric vehicle when the attenuation of the power battery reaches the attenuation amount when the service life of the battery is terminated, thereby accurately predicting the total driving mileage of the electric vehicle in the full life cycle of the power battery.
The method and the device estimate the total driving mileage of the whole vehicle in the life cycle of the power battery based on the severe working conditions of the whole vehicle, wherein the internal resistance of the electrical connecting piece is considered by the battery heat generation model, and the temperature is more accurately predicted. The aging calculation method aiming at the service life of the power battery is more severe, so that the total driving mileage is more accurately predicted.
Fig. 3 is a block diagram of an electric vehicle total mileage predicting apparatus according to an embodiment of the present invention. As shown in fig. 3, an apparatus for predicting total mileage traveled by an electric vehicle according to an embodiment of the present invention includes an obtaining module, a simulation calculating module, and a predicting module.
The acquisition module is used for acquiring the whole vehicle running data of the test vehicle under different running conditions, and calculating the running speed and power of the electric vehicle in unit time according to the whole vehicle running data.
And the simulation calculation module is used for carrying out simulation calculation by utilizing the running speed and the power in unit time to obtain the battery life attenuation of the test vehicle in a single charge-discharge cycle and the corresponding running mileage. Calculating a current value when the battery is discharged according to the power in the unit time, and calculating the temperature of the battery according to the current value; counting the current value distribution interval and the temperature distribution interval of the battery in a single discharging process, calculating the accumulated ampere-hour of each current value distribution interval and each temperature distribution interval, and calculating the life attenuation of the battery in the single discharging process; calculating the battery life attenuation of the battery in a single charging process; adding the battery life attenuation in the single discharging process and the battery life attenuation in the single charging process to obtain the battery life attenuation of the test vehicle in a single charging and discharging cycle; and calculating to obtain the time length of the battery for completing the single discharge according to the accumulated ampere hour, and calculating to obtain the driving mileage corresponding to the single discharge process of the test vehicle according to the time length for completing the single discharge, the driving speed in unit time and the power in unit time. The simulation calculation module is also used for carrying out simulation calculation of multiple charge-discharge cycles to obtain the accumulated battery life attenuation of the test vehicle in multiple charge-discharge cycles, and when the accumulated battery life attenuation reaches the attenuation when the battery life is over, the corresponding accumulated driving mileage is calculated. Namely, the battery life attenuation amount of a single charge-discharge cycle is calculated, the corresponding driving mileage is recorded, and the total driving mileage when the battery life attenuation amount is reduced to the end of the battery life is calculated.
The prediction module is to predict a total electric vehicle range based on the accumulated range of the test vehicle.
While the embodiments of the present invention have been described in detail with reference to the accompanying drawings, the embodiments of the present invention are not limited to the details of the above embodiments, and various simple modifications can be made to the technical solution of the embodiments of the present invention within the technical idea of the embodiments of the present invention, and the simple modifications are within the scope of the embodiments of the present invention. It should be noted that the various features described in the above embodiments may be combined in any suitable manner without departing from the scope of the invention. In order to avoid unnecessary repetition, the embodiments of the present invention will not be described separately for the various possible combinations.
In addition, any combination of the various embodiments of the present invention is also possible, and the same should be considered as disclosed in the embodiments of the present invention as long as it does not depart from the spirit of the embodiments of the present invention.
Claims (10)
1. A method for predicting total mileage driven by an electric vehicle, the method comprising:
s1) acquiring the whole vehicle running data of the test vehicle under different running conditions, and counting the running speed of the test vehicle in unit time and the power of the test vehicle in unit time according to the whole vehicle running data;
s2) inputting the running speed in unit time and the power in unit time into a battery simulation model, and calculating to obtain the battery life attenuation of the test vehicle in a single charge-discharge cycle and the corresponding running mileage;
s3), carrying out simulation calculation of multiple charge and discharge cycles by using the battery simulation model to obtain the accumulated battery life attenuation of the test vehicle in multiple charge and discharge cycles, calculating the corresponding accumulated driving mileage when the accumulated battery life attenuation reaches the attenuation of the battery life at the end, and predicting the total driving mileage of the electric vehicle according to the accumulated driving mileage of the test vehicle.
2. The method for predicting the total driving mileage of an electric vehicle according to claim 1, wherein step S2) includes inputting the driving speed per unit time and the power per unit time into a battery simulation model, and calculating the battery life attenuation amount and the corresponding driving mileage of the test vehicle in a single charge-discharge cycle, including:
s21) calculating the current value when the battery discharges according to the power in the unit time, and calculating the temperature of the battery according to the current value;
s22) counting the current value distribution interval and the temperature distribution interval of the battery in the single discharge process, calculating the accumulated ampere-hour of each current value distribution interval and each temperature distribution interval, and calculating the battery life attenuation of the battery in the single discharge process;
s23) calculating the battery life attenuation amount of the battery in a single charging process;
s24) adding the battery life attenuation in the single discharging process and the battery life attenuation in the single charging process to obtain the battery life attenuation of the test vehicle in a single charge-discharge cycle;
s25) calculating to obtain the time length of the battery for completing single discharge according to the accumulated ampere hour, and calculating to obtain the driving mileage corresponding to the single discharge process of the test vehicle according to the time length of completing single discharge, the driving speed in unit time and the power in unit time.
3. The method according to claim 2, wherein the calculating of the current value at the time of battery discharge from the power per unit time in step S21) includes:
calculating to obtain a first current value according to the power in the unit time and the cell voltage of the battery;
calculating to obtain a second current value according to the core temperature of the battery and the current SOC value of the battery;
selecting the smaller of the first current value and the second current value as a current value at which the battery is discharged.
4. The method according to claim 3, wherein the calculating the temperature of the battery according to the current value in step S21) includes:
calculating the heat generation quantity of the battery cell in unit time according to the current value of the battery during discharging;
calculating the heat dissipation capacity of the battery;
and calculating the temperature of the battery according to the generated heat and the radiated heat.
5. The method according to claim 2, wherein the step S22) of calculating the battery life attenuation of the battery during a single discharge is performed according to the following formula:
wherein i is the current value distribution interval of battery discharge, j is the temperature distribution interval of battery discharge, CycleijIs the cycle life of the cell of the battery, CThe accessibility is the rated Capacity, of the battery celllossIs the amount of battery life decay, AhijAnd m is the number of the current value distribution intervals, and n is the number of the temperature distribution intervals.
6. The method for predicting the total mileage traveled by an electric vehicle according to claim 2, wherein step S23) calculates the amount of battery life degradation of the battery during a single charge, by the formula:
Capacityloss-cha＝lossfast*i1+lossslow*i2
wherein Capacity isloss-chaIs the amount of battery life decay, loss, of the battery during a single chargefastIs the battery life decay value, loss, of the battery in a single quick charge processslowFor the value of the decay of the battery life of the battery during a single slow charge, i1For the proportion of the fast charge in the number of charges, i2Is the proportion of the slow charge in the number of charges, and i1+i2＝1。
7. The method for predicting the total driving mileage of an electric vehicle according to claim 2, wherein step S25) is to calculate the time length of the battery for completing the single discharge according to the accumulated ampere-hour, and calculate the driving mileage corresponding to the single discharge process of the test vehicle according to the time length of the battery for completing the single discharge, the driving speed in the unit time and the power in the unit time, and includes:
and calculating a real-time SOC value when the battery discharges according to the accumulated ampere-hour, counting a time length when the real-time SOC value reaches a discharge cut-off SOC value as a time length when the battery finishes single discharge, and calculating to obtain a driving mileage corresponding to the single discharge process of the test vehicle according to the time length when the single discharge is finished, the driving speed in unit time and the power in unit time.
8. The method for predicting the total mileage driven by an electric vehicle according to claim 1, wherein before the step S2) of inputting the driving speed per unit time and the power per unit time into the battery simulation model, the method further comprises:
and converting the running speed in unit time and the power in unit time into simulation input data matched with the battery simulation model.
9. An electric vehicle total mileage predicting apparatus, characterized in that the apparatus comprises:
the acquisition module is used for acquiring finished automobile running data of a test automobile under different running conditions, and counting the running speed of the electric automobile in unit time and the power of the electric automobile in unit time according to the finished automobile running data;
the simulation calculation module is used for carrying out simulation calculation by utilizing the running speed in unit time and the power in unit time to obtain the battery life attenuation of the test vehicle in a single charge-discharge cycle and the corresponding running mileage; carrying out simulation calculation of multiple charge-discharge cycles to obtain the accumulated battery life attenuation of the test vehicle in multiple charge-discharge cycles, and calculating the corresponding accumulated driving mileage when the accumulated battery life attenuation reaches the attenuation of the battery life at the end;
a prediction module to predict a total electric vehicle range based on the accumulated range of the test vehicle.
10. The device for predicting the total driving mileage of an electric vehicle according to claim 9, wherein the obtaining of the battery life attenuation amount and the corresponding driving mileage of the test vehicle in a single charge-discharge cycle by performing a simulation calculation using the driving speed per unit time and the power per unit time comprises:
calculating a current value when the battery is discharged according to the power in the unit time, and calculating the temperature of the battery according to the current value;
counting the current value distribution interval and the temperature distribution interval of the battery in a single discharging process, calculating the accumulated ampere-hour of each current value distribution interval and each temperature distribution interval, and calculating the life attenuation of the battery in the single discharging process;
calculating the battery life attenuation of the battery in a single charging process;
adding the battery life attenuation in the single discharging process and the battery life attenuation in the single charging process to obtain the battery life attenuation of the test vehicle in a single charging and discharging cycle;
and calculating to obtain the time length of the battery for completing the single discharge according to the accumulated ampere hour, and calculating to obtain the driving mileage corresponding to the single discharge process of the test vehicle according to the time length for completing the single discharge, the driving speed in unit time and the power in unit time.
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