CN109835209B - Method and device for determining driving mileage of automobile and storage medium - Google Patents
Method and device for determining driving mileage of automobile and storage medium Download PDFInfo
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Abstract
The application discloses a method and a device for determining the endurance mileage of an automobile and a storage medium, and belongs to the technical field of vehicle engineering. The method comprises the following steps: in the running process of the electric automobile, determining the battery consumption energy and the battery recovery energy of a battery in the electric automobile under different running conditions of the electric automobile; determining a net output energy of the battery in a cycle based on the battery consumed energy and the battery recovered energy; and determining the endurance mileage of the electric automobile based on the net output energy of the battery. The battery energy consumption and the battery energy recovery corresponding to the electric automobile in different running states can be determined, the net output energy of the battery in one cycle is determined based on the battery energy consumption and the battery energy recovery, and the cruising mileage of the electric automobile is determined based on the net output energy of the battery. Because the battery consumption energy and the battery recovery energy are determined under different operation conditions of the electric automobile, the accuracy and the high range of the determined endurance mileage are ensured.
Description
Technical Field
The present disclosure relates to the field of vehicle engineering technologies, and in particular, to a method and an apparatus for determining a driving range of an automobile, and a storage medium.
Background
With the increasing energy crisis and environmental pollution, new energy automobiles are being vigorously developed worldwide. The new energy automobile comprises a pure electric automobile, a hybrid electric automobile, a fuel cell and the like, wherein the pure electric automobile replaces a fuel engine with a motor, and driving electric energy comes from an on-board rechargeable battery or other energy storage devices, so that the new energy automobile has the characteristics of high oil saving efficiency, less pollution, low noise, good operation performance and the like, and is a research and development focus of various large automobile enterprises.
At present, when a pure electric vehicle is researched and developed, endurance of the electric vehicle is a very important index. How to accurately and quickly calculate the endurance mileage of the whole vehicle is of great importance to the early development of the whole vehicle. Therefore, a method for determining the driving range of an automobile is needed.
Disclosure of Invention
The embodiment of the application provides a method and a device for determining the endurance mileage of an automobile and a storage medium, which are used for solving the problem that the endurance mileage of an electric automobile cannot be determined in the related technology. The technical scheme is as follows:
in a first aspect, a method for determining a driving range of an automobile is provided, the method comprising:
in the running process of the electric automobile, determining that the battery of the battery in the electric automobile consumes energy and the battery recovers energy under different running working conditions of the electric automobile;
determining a net output energy of the battery in a cycle based on the battery consumed energy and the battery recovered energy;
and determining the endurance mileage of the electric automobile based on the net output energy of the battery.
Optionally, the determining that the electric vehicle consumes energy from a battery and recovers energy from the battery in the electric vehicle under different operating conditions includes:
when the running working condition of the electric automobile is a driving working condition, determining the battery consumption energy of the battery based on the variation of the wheel end power of the electric automobile under the driving working condition;
and when the running working condition of the electric automobile is a deceleration working condition, determining the battery recovery energy of the battery based on the variation of the wheel end power of the electric automobile under the deceleration working condition.
Optionally, the determining the battery consumption energy of the battery based on the variation of the wheel end power of the electric vehicle under the driving condition includes:
determining the battery consumption energy of the battery through a first formula based on the variation of the wheel end power of the electric automobile under the driving working condition;
wherein, E is+Consuming energy for said battery, said
For the wheel end power is 0 to t1The amount of change in the driving condition within a time period, ηTFor driveline efficiency, said ηmFor the motor efficiency of the electric vehicle, the etadischargeIs the discharge efficiency of the cell.
Optionally, the determining the battery recovered energy of the battery based on the variation of the wheel end power of the electric vehicle under the deceleration condition includes:
determining the battery recovery energy of the battery through a second formula based on the variation of the wheel end power of the electric automobile under the deceleration working condition;
wherein, E is-Recovering energy for said battery, said
For the wheel end power is 0 to t2And the variation under the deceleration working condition in the time period, wherein eta is the energy recovery efficiency.
Optionally, before the electric vehicle respectively obtains the battery consumption energy and the battery recovery energy of the battery in the electric vehicle under different operating conditions, the method further includes:
acquiring the running speed and the whole vehicle acceleration of the electric vehicle in the running process of the electric vehicle;
and determining the operation condition of the electric automobile based on the running speed, the acceleration of the whole automobile, the environmental information and the information of the whole automobile of the electric automobile.
Optionally, determining the operation condition of the electric vehicle based on the driving speed, the vehicle acceleration, the environmental information and the vehicle information of the electric vehicle, includes:
determining the wheel end power of the electric automobile through a third formula based on the running speed, the acceleration of the whole automobile, the environmental information and the information of the whole automobile of the electric automobile;
wherein, the PwheelIs the wheel end power of the electric vehicle, vaThe driving speed is the driving speed, m is the whole vehicle mass of the electric vehicle, g is the gravity acceleration, f is the tire wheel dynamic resistance coefficient of the electric vehicle, theta is the road surface gradient of the driving road of the electric vehicle, and CdIs a wind resistance coefficient, A is the windward area of the electric automobile, delta is a rotating mass conversion coefficient, and
the acceleration of the whole vehicle is obtained;
when the power of the wheel end is larger than 0, determining the running working condition of the electric automobile as a driving working condition;
and when the wheel end power is less than 0, determining that the running working condition of the electric automobile is a deceleration working condition.
Optionally, the determining a net output energy of the battery in one cycle based on the battery consumed energy and the battery recovered energy comprises:
determining a net output energy of the battery in one cycle based on the battery consumed energy and the battery recovered energy by a fourth formula;
wherein, E iscyc l eFor the net output energy, E+Consuming energy for said battery, said E-And recovering energy for the battery, wherein Pl is the low-voltage load of the whole vehicle, Ph is the high-voltage load of the whole vehicle, and t is the time of one cycle working condition.
Optionally, the determining the driving range of the electric vehicle based on the net output energy of the battery comprises:
multiplying the nominal electric quantity of the battery by the temperature coefficient of the battery to obtain a battery reference electric quantity;
determining the driving range of the electric automobile through a fifth formula based on the net output energy of the battery and the reference electric quantity of the battery;
wherein R is the endurance mileage and E iscycleNet output energy of the battery, L is the driving mileage of the electric vehicle under a single cycle working condition, and E1The DOD is a percentage of a discharged capacity of the battery to a nominal capacity of the battery.
Optionally, the method further comprises:
acquiring nominal electric quantity, finished automobile mass and corresponding endurance mileage of batteries of a plurality of electric automobiles;
generating a endurance matrix based on the nominal electric quantity of the batteries of the plurality of electric vehicles, the total vehicle mass and the corresponding endurance mileage;
and generating a endurance mileage determining model by fitting a data fitting tool based on the endurance matrix, wherein the endurance mileage determining model is used for determining the endurance mileage of the electric automobile.
In a second aspect, a driving range determination apparatus for an automobile is provided, the apparatus comprising:
the first determining module is used for determining battery consumption energy and battery recovery energy of a battery in the electric automobile under different operating conditions in the running process of the electric automobile;
a second determination module for determining a net output energy of the battery in one cycle based on the battery consumed energy and the battery recovered energy;
and the third determination module is used for determining the driving mileage of the electric automobile based on the net output energy of the battery.
Optionally, the first determining module is configured to:
when the running working condition of the electric automobile is a driving working condition, determining the battery consumption energy of the battery based on the variation of the wheel end power of the electric automobile under the driving working condition;
and when the running working condition of the electric automobile is a deceleration working condition, determining the battery recovery energy of the battery based on the variation of the wheel end power of the electric automobile under the deceleration working condition.
Optionally, the first determining module is configured to:
determining the battery consumption energy of the battery through a first formula based on the variation of the wheel end power of the electric automobile under the driving working condition;
wherein, E is+Consuming energy for said battery, said
For the wheel end power is 0 to t1The amount of change in the driving condition within a time period, ηTFor driveline efficiency, said ηmFor the motor efficiency of the electric vehicle, the etadischargeIs the discharge efficiency of the cell.
Optionally, the first determining module is configured to:
determining the battery recovery energy of the battery through a second formula based on the variation of the wheel end power of the electric automobile under the deceleration working condition;
wherein, E is-Recovering energy for said battery, said
For the wheel end power is 0 to t2And the variation under the deceleration working condition in the time period, wherein eta is the energy recovery efficiency.
Optionally, the apparatus further comprises:
the first acquisition module is used for acquiring the running speed and the whole vehicle acceleration of the electric vehicle in the running process of the electric vehicle;
and the fourth determining module is used for determining the operation condition of the electric automobile based on the running speed, the acceleration of the whole automobile, the environmental information and the information of the whole automobile of the electric automobile.
Optionally, the fourth determining module is configured to:
determining the wheel end power of the electric automobile through a third formula based on the running speed, the acceleration of the whole automobile, the environmental information and the information of the whole automobile of the electric automobile;
wherein, the PwheelIs the wheel end power of the electric vehicle, vaThe driving speed is the driving speed, m is the whole vehicle mass of the electric vehicle, g is the gravity acceleration, f is the tire wheel dynamic resistance coefficient of the electric vehicle, theta is the road surface gradient of the driving road of the electric vehicle, and CdIs a wind resistance coefficient, A is the windward area of the electric automobile, delta is a rotating mass conversion coefficient, and
the acceleration of the whole vehicle is obtained;
when the power of the wheel end is larger than 0, determining the running working condition of the electric automobile as a driving working condition;
and when the wheel end power is less than 0, determining that the running working condition of the electric automobile is a deceleration working condition.
Optionally, the second determining module is configured to:
determining a net output energy of the battery in one cycle based on the battery consumed energy and the battery recovered energy by a fourth formula;
wherein, E iscycleFor the net output energy, E+Consuming energy for said battery, said E-And recovering energy for the battery, wherein Pl is the low-voltage load of the whole vehicle, Ph is the high-voltage load of the whole vehicle, and t is the time of one cycle working condition.
Optionally, the third determining module is configured to:
multiplying the nominal electric quantity of the battery by the temperature coefficient of the battery to obtain a battery reference electric quantity;
determining the driving range of the electric automobile through a fifth formula based on the net output energy of the battery and the reference electric quantity of the battery;
wherein R is the endurance mileage and E iscycleNet output energy of the battery, L is the driving mileage of the electric vehicle under a single cycle working condition, and E1The DOD is a percentage of a discharged capacity of the battery to a nominal capacity of the battery.
Optionally, the apparatus further comprises:
the second acquisition module is used for acquiring the nominal electric quantity, the whole vehicle mass and the corresponding endurance mileage of the batteries of the plurality of electric vehicles;
the first generation module is used for generating a endurance matrix based on the nominal electric quantity of the batteries of the plurality of electric automobiles, the whole automobile mass and the corresponding endurance mileage;
and the second generation module is used for generating a cruising mileage determination model through data fitting tool fitting based on the cruising matrix, and the cruising mileage determination model is used for determining the cruising mileage of the electric automobile.
In a third aspect, a computer-readable storage medium is provided, in which a computer program is stored which, when being executed by a processor, carries out the method of any one of the above-mentioned first aspects.
The beneficial effects brought by the technical scheme provided by the embodiment of the application at least comprise:
in the embodiment of the application, the battery consumption energy and the battery recovery energy respectively corresponding to the electric automobile in different running states can be determined, the net output energy of the battery in one cycle is determined based on the battery consumption energy and the battery recovery energy, and the cruising range of the electric automobile is determined based on the net output energy of the battery. Because the battery consumption energy and the battery recovery energy are determined under different operation conditions of the electric automobile, the accuracy and the high range of the determined endurance mileage are ensured.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
FIG. 1 is a flowchart of a method for determining a driving range of an automobile according to an embodiment of the present disclosure;
FIG. 2 is a flowchart of another method for determining a driving range of an automobile according to an embodiment of the present disclosure;
FIG. 3 is a schematic structural diagram of a first driving range determining apparatus for an automobile according to an embodiment of the present disclosure;
FIG. 4 is a schematic structural diagram of a mileage determining apparatus of a second vehicle according to an embodiment of the present application;
FIG. 5 is a schematic structural diagram of a third apparatus for determining a driving range of an automobile according to an embodiment of the present application;
fig. 6 is a schematic structural diagram of a terminal according to an embodiment of the present application.
Detailed Description
To make the objects, technical solutions and advantages of the present application more clear, embodiments of the present application will be described in further detail below with reference to the accompanying drawings.
Before explaining the embodiments of the present application in detail, the application scenarios related to the embodiments of the present application are explained first.
With the increasing energy crisis and environmental pollution, new energy automobiles are being vigorously developed worldwide. The new energy automobile comprises a pure electric automobile, a hybrid electric automobile, a fuel cell and the like, wherein the pure electric automobile replaces a fuel engine with a motor, and driving electric energy comes from an on-board rechargeable battery or other energy storage devices, so that the new energy automobile has the characteristics of high oil saving efficiency, less pollution, low noise, good operation performance and the like, and is a research and development focus of various large automobile enterprises.
At present, when a pure electric vehicle is researched and developed, endurance of the electric vehicle is a very important index. How to accurately and quickly calculate the endurance mileage of the whole vehicle is of great importance to the early development of the whole vehicle. Therefore, a method for determining the driving range of an automobile is needed.
Based on such a scenario, the embodiment of the application provides a method for determining the cruising range of an automobile.
After the application scenario of the embodiment of the present application is described, a method for determining a driving range of an automobile provided by the embodiment of the present application will be described in detail with reference to the accompanying drawings.
Fig. 1 is a flowchart of a method for determining a driving range of an automobile according to an embodiment of the present application, and referring to fig. 1, the method is applied to a terminal, and includes the following steps.
Step 101: in the running process of the electric automobile, determining the battery consumption energy and the battery recovery energy of the battery in the electric automobile under different running conditions of the electric automobile.
Step 102: the net output energy of the battery in a cycle is determined based on the energy consumed at the battery and the energy recovered at the battery.
Step 103: and determining the driving range of the electric automobile based on the net output energy of the battery.
In the embodiment of the application, the battery consumption energy and the battery recovery energy respectively corresponding to the electric automobile in different running states can be determined, the net output energy of the battery in one cycle is determined based on the battery consumption energy and the battery recovery energy, and the cruising range of the electric automobile is determined based on the net output energy of the battery. Because the battery consumption energy and the battery recovery energy are determined under different operation conditions of the electric automobile, the accuracy and the high range of the determined endurance mileage are ensured.
Optionally, determining battery consumption energy and battery recovery energy of a battery in the electric vehicle under different operating conditions of the electric vehicle includes:
when the running working condition of the electric automobile is a driving working condition, determining the battery consumption energy of the battery based on the variation of the wheel end power of the electric automobile under the driving working condition;
when the running condition of the electric automobile is a deceleration condition, determining the battery recovery energy of the battery based on the variation of the power at the wheel end of the electric automobile under the deceleration condition.
Optionally, determining the battery consumption energy of the battery based on the variation amount of the power at the wheel end of the electric vehicle under the driving condition comprises:
determining battery consumption energy of a battery through a first formula based on the variation of the power at the wheel end of the electric automobile under the driving working condition;
wherein E is+In order to consume energy at the battery,
to make the power at the wheel end at 0 to t1Variation over a period of time under driving conditions, ηTFor the efficiency of the drive train etamFor the motor efficiency in electric vehicles, etadischargeTo the discharge efficiency of the cell.
Optionally, determining the recovered battery energy at the battery based on the variation of the power at the wheel end of the electric vehicle under the deceleration condition comprises:
determining the battery recovery energy of the battery through a second formula based on the variation of the power at the wheel end of the electric automobile under the deceleration working condition;
wherein E is-In order to recover the energy in the battery,
to make the power at the wheel end at 0 to t2And the variation in the time period under the deceleration working condition is represented by eta, which is the energy recovery efficiency.
Optionally, before the electric vehicle respectively obtains the battery consumption energy and the battery recovery energy of the battery in the electric vehicle under different operating conditions, the method further includes:
acquiring the running speed and the whole vehicle acceleration of the electric vehicle in the running process of the electric vehicle;
and determining the running condition of the electric automobile based on the running speed, the acceleration of the whole automobile, the environmental information and the information of the whole automobile of the electric automobile.
Optionally, determining an operation condition of the electric vehicle based on the running vehicle speed, the vehicle acceleration, the environmental information, and the vehicle information of the electric vehicle, includes:
determining the wheel end power of the electric automobile through the following third formula based on the running speed, the acceleration of the whole automobile, the environment information and the information of the whole automobile of the electric automobile;
wherein, PwheelTo power at the wheel end of an electric vehicle, vaIn order to travel, m is the total vehicle mass of the electric vehicle, g is the gravity acceleration, f is the tire wheel dynamic resistance coefficient of the electric vehicle, theta is the road surface gradient of the electric vehicle travel road, CdIs a wind resistance coefficient, A is the windward area of the electric automobile, delta is a rotating mass conversion coefficient,
acceleration of the whole vehicle;
when the power at the wheel end is greater than 0, determining the running working condition of the electric automobile as a driving working condition;
and when the power at the wheel end is less than 0, determining that the running condition of the electric automobile is a deceleration condition.
Optionally, determining a net output energy of the battery in a cycle based on the energy consumed at the battery and the energy recovered at the battery comprises:
determining a net output energy of the battery in one cycle based on the energy consumed at the battery and the energy recovered at the battery by a fourth formula;
wherein E iscycleTo output energy in net, E+To consume energy in the battery, E-In order to recover energy in the battery, Pl is the low-voltage load of the whole vehicle, Ph is the high-voltage load of the whole vehicle, and t is the time of one cycle working condition.
Optionally, determining a range at the electric vehicle based on the net output energy at the battery comprises:
multiplying the nominal electric quantity of the battery by the temperature coefficient of the battery to obtain the reference electric quantity of the battery;
determining the endurance mileage of the electric vehicle by the following fifth formula based on the net output energy at the battery and the reference electric quantity at the battery;
wherein R is the mileage on endurance, EcycleFor net output energy in the battery, L is the range of the electric vehicle under a single cycle condition, E1For a reference charge at the battery, DOD is the percentage of the discharge charge at the battery to the nominal charge at the battery.
Optionally, the method further comprises:
acquiring nominal electric quantity, finished automobile mass and corresponding endurance mileage of batteries of a plurality of electric automobiles;
generating a endurance matrix based on the nominal electric quantity of the batteries of the plurality of electric vehicles, the total vehicle mass and the corresponding endurance mileage;
and based on the endurance matrix, generating an endurance mileage determination model through data fitting tool fitting, wherein the endurance mileage determination model is used for determining the endurance mileage of the electric automobile.
All the above optional technical solutions can be combined arbitrarily to form an optional embodiment of the present application, and the present application embodiment is not described in detail again.
Fig. 2 is a flowchart of a method for determining a driving range of an automobile according to an embodiment of the present application, and referring to fig. 2, the method includes the following steps.
Step 201: in the running process of the electric automobile, the terminal determines that the battery of the battery in the electric automobile consumes energy and the battery recovers energy under different running conditions of the electric automobile.
Because the electric automobile can appear different operating conditions in the driving process, and the battery energy of the electric automobile has different conversion processes under the continuous operating conditions, the terminal needs to determine that the battery of the battery in the electric automobile consumes energy and the battery recovers energy under the same operating condition of the electric automobile. And when the terminal determines that the electric automobile is in different operation conditions, the operation of battery energy consumption and battery energy recovery of the battery in the electric automobile can be as follows: when the running working condition of the electric automobile is a driving working condition, determining the battery consumption energy of the battery based on the variable quantity of the wheel end power of the electric automobile under the driving working condition; and when the running working condition of the electric automobile is a deceleration working condition, determining the battery recovery energy of the battery based on the variable quantity of the wheel end power of the electric automobile under the deceleration working condition.
In addition, the terminal can determine the battery consumption energy of the battery through the following first formula based on the variation of the wheel end power of the electric automobile under the driving working condition;
wherein, in the first formula (1), E+In order to consume the energy for the battery,
for the power at the wheel end from 0 to t1Variation of the time period under the driving condition, ηTFor the efficiency of the drive train etamIs the motor efficiency, eta, of the electric vehicledischargeThe discharge efficiency of the battery.
Furthermore, the terminal can determine the battery recovery energy of the battery through a second formula based on the variation of the wheel end power of the electric automobile under the deceleration working condition;
wherein, in the second formula (2), E-The energy is recovered for the battery and the battery,
for the power at the wheel end from 0 to t2And the variation of the time period under the deceleration working condition, wherein eta is the energy recovery efficiency.
It should be noted that the power of the wheel end is 0 to t1The variation in the driving condition within the time period may be a variation recorded when the electric vehicle is in the driving condition, and the variation is sentTo the terminal, the power of the wheel end is 0 to t2The variation under the deceleration condition in the time period may be a variation recorded when the electric vehicle is in the deceleration condition, and the variation is sent to the terminal. The transmission system efficiency, the motor efficiency of the electric vehicle, the discharging efficiency of the battery and the energy recovery efficiency can be obtained by real-time detection of the electric vehicle in the driving process and then sent to the terminal, or can be data of the electric vehicle stored in the terminal in advance.
In addition, the terminal may determine the battery consumption energy of the battery and the battery recovery energy of the battery respectively through the first formula and the second formula, or may determine the battery consumption energy and the battery recovery energy of the battery through other manners, for example, a detection device may be disposed on the battery, and when the electric vehicle is in a driving condition, the detection device detects the energy consumed by the battery in the driving condition, and determines the detected consumed energy as the battery consumption energy. Similarly, when the electric automobile is in the deceleration working condition, the energy recovered by the battery under the deceleration working condition is detected through the detection equipment, and the detected recovered energy is determined as the recovered energy of the battery.
Further, the terminal needs to determine the battery consumption energy and the battery recovery energy of the battery in the electric vehicle under different operation conditions of the electric vehicle, so that the terminal needs to determine the operation condition of the electric vehicle first. The operation that the terminal needs to determine the operation condition of the electric vehicle in advance may be: the method can acquire the running speed and the whole vehicle acceleration of the electric vehicle in the running process of the electric vehicle; and determining the operation condition of the electric automobile based on the running speed, the acceleration of the whole automobile, the environmental information and the information of the whole automobile of the electric automobile.
It should be noted that the terminal may communicate with the electric vehicle, and the electric vehicle may send the driving speed and the vehicle acceleration to the terminal during driving, so that the terminal may obtain the driving speed and the vehicle acceleration of the electric vehicle.
It should be noted that the whole vehicle information of the electric vehicle may include a whole vehicle mass of the electric vehicle, a tire dynamic resistance coefficient of the electric vehicle, a windward area of the electric vehicle, a rotating mass conversion coefficient, and the like, and the environment information may include a road surface gradient of a driving road of the electric vehicle, a wind resistance coefficient, and the like. Partial information in the whole vehicle information of the electric vehicle can be stored in the terminal in advance, for example, the whole vehicle mass, and partial information can be detected and obtained in the driving process of the electric vehicle, for example, a tire wheel dynamic resistance coefficient of the electric vehicle, a windward area of the electric vehicle, a rotating mass conversion coefficient and the like. The environmental information can be stored in the terminal in advance, and can also be detected and acquired in the driving process of the electric automobile.
The terminal determines the power at the wheel end of the electric automobile through a third formula based on the running speed, the acceleration of the whole automobile, the environment information and the information of the whole automobile of the electric automobile; when the power of the wheel end is greater than 0, determining the running working condition of the electric automobile as a driving working condition; and when the power of the wheel end is less than 0, determining the running working condition of the electric automobile as a deceleration working condition.
Wherein, in the third formula (3), PwheelIs the wheel end power of the electric automobile, vaM is the total vehicle mass of the electric vehicle, g is the gravity acceleration, f is the tire wheel dynamic resistance coefficient of the electric vehicle, theta is the road surface gradient of the electric vehicle driving road, CdIs a wind resistance coefficient, A is the windward area of the electric automobile, delta is a rotating mass conversion coefficient,
the acceleration of the whole vehicle is obtained.
In addition, when the wheel end power is equal to 0, it indicates that the electric vehicle has stopped moving, and the battery energy of the electric vehicle hardly changes, so that the case where the wheel end power is equal to 0 can be ignored.
Step 202: the terminal determines a net output energy of the battery in one cycle based on the battery consumption energy and the battery recovery energy.
Wherein the terminal may determine a net output energy of the battery in one cycle by the following fourth formula based on the battery consumption energy and the battery recovery energy;
wherein, in the fourth formula (4), EcycleFor net output energy, E+Consuming energy for the battery, E-For the recovery of energy of the battery, Pl is the low-voltage load of the whole vehicle, Ph is the high-voltage load of the whole vehicle, and t is the time of one cycle working condition.
It should be noted that the entire vehicle low-voltage load and the entire vehicle high-voltage load may be stored in the terminal in advance.
In addition, the terminal may determine the net output energy not only by the fourth formula, but also by other means, for example, the terminal may detect the net output energy of the battery in one cycle by a detection device.
Step 203: and the terminal determines the endurance mileage of the electric automobile based on the net output energy of the battery.
The operation of determining the endurance mileage of the electric automobile based on the net output energy of the battery by the terminal can be as follows: multiplying the nominal electric quantity of the battery by the temperature coefficient of the battery to obtain the reference electric quantity of the battery; determining the endurance mileage of the electric automobile through a fifth formula based on the net output energy of the battery and the reference electric quantity of the battery;
in the fifth formula (5), R is the mileage and EcycleFor net output energy of the battery, L is the endurance mileage of the electric vehicle under a single cycle condition, E1DOD is the percentage of the discharged capacity of the battery to the nominal capacity of the battery for the battery reference capacity.
In addition, the nominal electric quantity, the temperature coefficient of the battery, the driving range of the electric vehicle under a single cycle working condition, the reference electric quantity of the battery and the percentage of the discharged quantity of the battery to the nominal electric quantity of the battery can be stored in the terminal in advance.
Furthermore, the operation of determining the driving range of the electric vehicle by the terminal based on the net output energy of the battery may include not only the above manner, but also other manners, for example, the terminal may determine the corresponding driving range from the corresponding relationship between the stored net output energy of the battery and the driving range of the electric vehicle based on the net output energy of the battery.
Further, since the determination of the driving range of the electric vehicle through the steps 201 to 203 is complicated, in order to facilitate the subsequent determination of the driving range of other electric vehicles, the terminal may determine a driving range determination model for determining the driving range of the electric vehicle through the steps 204 to 206 on the basis of the steps 201 to 203, so as to simplify the operation of determining the driving range and improve the speed of determining the driving range by the terminal.
Step 204: the terminal obtains the nominal electric quantity of the batteries of the electric automobiles, the whole automobile mass and the corresponding endurance mileage.
The terminal may determine the cruising mileage corresponding to the plurality of electric vehicles according to the manners of the above steps 201 to 203, which is not described in detail in this embodiment.
Step 205: the terminal generates a endurance matrix based on the nominal electric quantity of the batteries of the electric automobiles, the total automobile mass and the corresponding endurance mileage.
The terminal may generate the corresponding driving range according to different nominal electric quantities and different vehicle masses, for example, the terminal may generate the driving range corresponding to different nominal electric quantities and different vehicle masses as shown in table 1 below according to different nominal electric quantities and different vehicle masses.
TABLE 1
The following description is given only by taking the mileage continuation matrix shown in table 1 as an example, and the present embodiment is not limited thereto.
Step 206: and the terminal generates a cruising mileage determination model through fitting of a data fitting tool based on the cruising matrix, and the cruising mileage determination model is used for determining the cruising mileage of the electric automobile.
It should be noted that the data fitting tool may be a cftool in Matlab.
When the endurance matrix is shown in table 1, the terminal generates an endurance mileage determination model by fitting a data fitting tool based on the endurance matrix as follows:
R＝-61.28+10.94*E+0.07*M-(1.7e-0.5)E2-0.0025E*M-(2e-0.5)*M2 (6)
in the formula (6), R is the driving range, E is the nominal electric quantity of the battery, and M is the total vehicle mass of the electric vehicle.
For example, when the nominal electric quantity of the battery is 55kwh (kilowatt hour) and the mass of the whole vehicle is 1600 kg, the endurance mileage of the electric vehicle is determined to be 381.3 km according to the endurance mileage determining model.
It is worth explaining that the endurance mileage determining model in the application can be suitable for various cycle conditions, wherein the influence of low-voltage and high-voltage loads, energy recovery and environment temperature on the endurance of the whole vehicle is considered, the endurance mileage speed is determined, meanwhile, the development period of the whole vehicle is shortened, and the labor cost is saved.
In the embodiment of the application, the terminal can determine the battery consumption energy and the battery recovery energy respectively corresponding to the electric automobile in different running states, and determine the net output energy of the battery in one cycle based on the battery consumption energy and the battery recovery energy, so that the cruising mileage of the electric automobile is determined based on the net output energy of the battery. Because the battery consumption energy and the battery recovery energy are determined under different operation conditions of the electric automobile, the accuracy and the high range of the determined endurance mileage are ensured. And then, the terminal can continuously determine the endurance mileage determination model, so that the speed of determining the endurance mileage is increased, the development period of the whole vehicle is shortened, and the labor cost is saved.
After explaining the method for determining the driving range of the automobile according to the embodiment of the present invention, a device for determining the driving range of the automobile according to the embodiment of the present invention will be described.
Fig. 3 is a block diagram of a driving range determining apparatus of an automobile according to an embodiment of the present disclosure, which may be implemented by software, hardware, or a combination of the two, referring to fig. 6. The device includes: a first determination module 302, a second determination module 303, and a third determination module 303.
The first determining module 301 is configured to determine, in a running process of an electric vehicle, that a battery in the electric vehicle consumes energy and the battery recovers energy under different operating conditions of the electric vehicle;
a second determining module 302 for determining a net output energy of the battery in one cycle based on the battery consumed energy and the battery recovered energy;
a third determining module 303, configured to determine a driving range of the electric vehicle based on the net output energy of the battery.
Optionally, the first determining module 301 is configured to:
when the running working condition of the electric automobile is a driving working condition, determining the battery consumption energy of the battery based on the variation of the wheel end power of the electric automobile under the driving working condition;
and when the running working condition of the electric automobile is a deceleration working condition, determining the battery recovery energy of the battery based on the variation of the wheel end power of the electric automobile under the deceleration working condition.
Optionally, the first determining module 301 is configured to:
determining the battery consumption energy of the battery through a first formula based on the variation of the wheel end power of the electric automobile under the driving working condition;
wherein, E is+Consuming energy for said battery, said
For the wheel end power is 0 to t1The amount of change in the driving condition within a time period, ηTFor driveline efficiency, said ηmFor the motor efficiency of the electric vehicle, the etadischargeIs the discharge efficiency of the cell.
Optionally, the first determining module 301 is configured to:
determining the battery recovery energy of the battery through a second formula based on the variation of the wheel end power of the electric automobile under the deceleration working condition;
wherein, E is-Recovering energy for said battery, said
For the wheel end power is 0 to t2And the variation under the deceleration working condition in the time period, wherein eta is the energy recovery efficiency.
Optionally, referring to fig. 4, the apparatus further comprises:
the first obtaining module 304 is configured to obtain a driving speed and a whole vehicle acceleration of the electric vehicle in a driving process of the electric vehicle;
the fourth determining module 305 is configured to determine an operation condition of the electric vehicle based on the driving speed, the vehicle acceleration, the environmental information, and the vehicle information of the electric vehicle.
Optionally, the fourth determining module 305 is configured to:
determining the wheel end power of the electric automobile through a third formula based on the running speed, the acceleration of the whole automobile, the environmental information and the information of the whole automobile of the electric automobile;
wherein, the PwheelIs the wheel end power of the electric vehicle, vaThe driving speed is the driving speed, m is the whole vehicle mass of the electric vehicle, g is the gravity acceleration, f is the tire wheel dynamic resistance coefficient of the electric vehicle, theta is the road surface gradient of the driving road of the electric vehicle, and CdIs a wind resistance coefficient, A is the windward area of the electric automobile, delta is a rotating mass conversion coefficient, and
the acceleration of the whole vehicle is obtained;
when the power of the wheel end is larger than 0, determining the running working condition of the electric automobile as a driving working condition;
and when the wheel end power is less than 0, determining that the running working condition of the electric automobile is a deceleration working condition.
Optionally, the second determining module 302 is configured to:
determining a net output energy of the battery in one cycle based on the battery consumed energy and the battery recovered energy by a fourth formula;
wherein, E iscycleFor the net output energy, E+Consuming energy for said battery, said E-And recovering energy for the battery, wherein Pl is the low-voltage load of the whole vehicle, Ph is the high-voltage load of the whole vehicle, and t is the time of one cycle working condition.
Optionally, the third determining module 303 is configured to:
multiplying the nominal electric quantity of the battery by the temperature coefficient of the battery to obtain a battery reference electric quantity;
determining the driving range of the electric automobile through a fifth formula based on the net output energy of the battery and the reference electric quantity of the battery;
wherein R is the endurance mileage and E iscycleNet output energy of the battery, L is the driving mileage of the electric vehicle under a single cycle working condition, and E1The DOD is a percentage of a discharged capacity of the battery to a nominal capacity of the battery.
Optionally, referring to fig. 5, the apparatus further comprises:
a second obtaining module 306, configured to obtain nominal electric quantities of batteries of multiple electric vehicles, a total vehicle mass, and corresponding driving ranges;
a first generating module 307, configured to generate a endurance matrix based on nominal electric quantities of batteries of the plurality of electric vehicles, the entire vehicle mass, and corresponding endurance mileage;
and a second generating module 308, configured to generate a mileage determining model by fitting a data fitting tool based on the mileage matrix, where the mileage determining model is used to determine the mileage of the electric vehicle.
In summary, in the embodiment of the application, the terminal may determine the battery consumption energy and the battery recovery energy respectively corresponding to the electric vehicle in different operating states, and determine the net output energy of the battery in one cycle based on the battery consumption energy and the battery recovery energy, so as to determine the driving range of the electric vehicle based on the net output energy of the battery. Because the battery consumption energy and the battery recovery energy are determined under different operation conditions of the electric automobile, the accuracy and the high range of the determined endurance mileage are ensured. And then, the terminal can continuously determine the endurance mileage determination model, so that the speed of determining the endurance mileage is increased, the development period of the whole vehicle is shortened, and the labor cost is saved.
It should be noted that: the driving range determining device for an automobile provided in the above embodiment is exemplified by only the division of the above functional modules when determining the driving range, and in practical applications, the above function distribution may be completed by different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules to complete all or part of the above described functions. In addition, the embodiment of the device for determining the cruising range of the automobile and the embodiment of the method for determining the cruising range of the automobile belong to the same concept, and the specific implementation process is detailed in the embodiment of the method and is not repeated herein.
Fig. 6 shows a block diagram of a terminal 600 according to an exemplary embodiment of the present application. The terminal 600 may be: a smart phone, a tablet computer, an MP3 player (Moving Picture Experts Group Audio Layer III, motion video Experts compression standard Audio Layer 3), an MP4 player (Moving Picture Experts Group Audio Layer IV, motion video Experts compression standard Audio Layer 4), a notebook computer, or a desktop computer. The terminal 600 may also be referred to by other names such as user equipment, portable terminal, laptop terminal, desktop terminal, etc.
In general, the terminal 600 includes: a processor 601 and a memory 602.
The processor 601 may include one or more processing cores, such as a 4-core processor, an 8-core processor, and so on. The processor 601 may be implemented in at least one hardware form of a DSP (Digital Signal Processing), an FPGA (Field-Programmable Gate Array), and a PLA (Programmable Logic Array). The processor 601 may also include a main processor and a coprocessor, where the main processor is a processor for Processing data in an awake state, and is also called a Central Processing Unit (CPU); a coprocessor is a low power processor for processing data in a standby state. In some embodiments, the processor 601 may be integrated with a GPU (Graphics Processing Unit), which is responsible for rendering and drawing the content required to be displayed on the display screen. In some embodiments, processor 601 may also include an AI (Artificial Intelligence) processor for processing computational operations related to machine learning.
The memory 602 may include one or more computer-readable storage media, which may be non-transitory. The memory 602 may also include high-speed random access memory, as well as non-volatile memory, such as one or more magnetic disk storage devices, flash memory storage devices. In some embodiments, a non-transitory computer readable storage medium in the memory 602 is used to store at least one instruction for execution by the processor 601 to implement the range determination method for an automobile provided by the method embodiments herein.
In some embodiments, the terminal 600 may further optionally include: a peripheral interface 603 and at least one peripheral. The processor 601, memory 602, and peripheral interface 603 may be connected by buses or signal lines. Various peripheral devices may be connected to the peripheral interface 603 via a bus, signal line, or circuit board. Specifically, the peripheral device includes: at least one of a radio frequency circuit 604, a touch screen display 605, a camera 606, an audio circuit 607, a positioning component 608, and a power supply 609.
The peripheral interface 603 may be used to connect at least one peripheral related to I/O (Input/Output) to the processor 601 and the memory 602. In some embodiments, the processor 601, memory 602, and peripheral interface 603 are integrated on the same chip or circuit board; in some other embodiments, any one or two of the processor 601, the memory 602, and the peripheral interface 603 may be implemented on a separate chip or circuit board, which is not limited in this embodiment.
The Radio Frequency circuit 604 is used for receiving and transmitting RF (Radio Frequency) signals, also called electromagnetic signals. The radio frequency circuitry 604 communicates with communication networks and other communication devices via electromagnetic signals. The rf circuit 604 converts an electrical signal into an electromagnetic signal to transmit, or converts a received electromagnetic signal into an electrical signal. Optionally, the radio frequency circuit 604 comprises: an antenna system, an RF transceiver, one or more amplifiers, a tuner, an oscillator, a digital signal processor, a codec chipset, a subscriber identity module card, and so forth. The radio frequency circuitry 604 may communicate with other terminals via at least one wireless communication protocol. The wireless communication protocols include, but are not limited to: metropolitan area networks, various generation mobile communication networks (2G, 3G, 4G, and 5G), Wireless local area networks, and/or WiFi (Wireless Fidelity) networks. In some embodiments, the rf circuit 604 may further include NFC (Near Field Communication) related circuits, which are not limited in this application.
The display 605 is used to display a UI (User Interface). The UI may include graphics, text, icons, video, and any combination thereof. When the display screen 605 is a touch display screen, the display screen 605 also has the ability to capture touch signals on or over the surface of the display screen 605. The touch signal may be input to the processor 601 as a control signal for processing. At this point, the display 605 may also be used to provide virtual buttons and/or a virtual keyboard, also referred to as soft buttons and/or a soft keyboard. In some embodiments, the display 605 may be one, providing the front panel of the terminal 600; in other embodiments, the display 605 may be at least two, respectively disposed on different surfaces of the terminal 600 or in a folded design; in still other embodiments, the display 605 may be a flexible display disposed on a curved surface or on a folded surface of the terminal 600. Even more, the display 605 may be arranged in a non-rectangular irregular pattern, i.e., a shaped screen. The Display 605 may be made of LCD (Liquid Crystal Display), OLED (Organic Light-Emitting Diode), and the like.
The camera assembly 606 is used to capture images or video. Optionally, camera assembly 606 includes a front camera and a rear camera. Generally, a front camera is disposed at a front panel of the terminal, and a rear camera is disposed at a rear surface of the terminal. In some embodiments, the number of the rear cameras is at least two, and each rear camera is any one of a main camera, a depth-of-field camera, a wide-angle camera and a telephoto camera, so that the main camera and the depth-of-field camera are fused to realize a background blurring function, and the main camera and the wide-angle camera are fused to realize panoramic shooting and VR (Virtual Reality) shooting functions or other fusion shooting functions. In some embodiments, camera assembly 606 may also include a flash. The flash lamp can be a monochrome temperature flash lamp or a bicolor temperature flash lamp. The double-color-temperature flash lamp is a combination of a warm-light flash lamp and a cold-light flash lamp, and can be used for light compensation at different color temperatures.
The positioning component 608 is used for positioning the current geographic Location of the terminal 600 to implement navigation or LBS (Location Based Service). The Positioning component 608 can be a Positioning component based on the united states GPS (Global Positioning System), the chinese beidou System, the russian graves System, or the european union's galileo System.
In some embodiments, the terminal 600 also includes one or more sensors 610. The one or more sensors 610 include, but are not limited to: acceleration sensor 611, gyro sensor 612, pressure sensor 613, fingerprint sensor 614, optical sensor 615, and proximity sensor 616.
The acceleration sensor 611 may detect the magnitude of acceleration in three coordinate axes of the coordinate system established with the terminal 600. For example, the acceleration sensor 611 may be used to detect components of the gravitational acceleration in three coordinate axes. The processor 601 may control the touch screen display 605 to display the user interface in a landscape view or a portrait view according to the gravitational acceleration signal collected by the acceleration sensor 611. The acceleration sensor 611 may also be used for acquisition of motion data of a game or a user.
The gyro sensor 612 may detect a body direction and a rotation angle of the terminal 600, and the gyro sensor 612 and the acceleration sensor 611 may cooperate to acquire a 3D motion of the user on the terminal 600. The processor 601 may implement the following functions according to the data collected by the gyro sensor 612: motion sensing (such as changing the UI according to a user's tilting operation), image stabilization at the time of photographing, game control, and inertial navigation.
The pressure sensor 613 may be disposed on a side frame of the terminal 600 and/or on a lower layer of the touch display screen 605. When the pressure sensor 613 is disposed on the side frame of the terminal 600, a user's holding signal of the terminal 600 can be detected, and the processor 601 performs left-right hand recognition or shortcut operation according to the holding signal collected by the pressure sensor 613. When the pressure sensor 613 is disposed at the lower layer of the touch display screen 605, the processor 601 controls the operability control on the UI interface according to the pressure operation of the user on the touch display screen 605. The operability control comprises at least one of a button control, a scroll bar control, an icon control and a menu control.
The fingerprint sensor 614 is used for collecting a fingerprint of a user, and the processor 601 identifies the identity of the user according to the fingerprint collected by the fingerprint sensor 614, or the fingerprint sensor 614 identifies the identity of the user according to the collected fingerprint. Upon identifying that the user's identity is a trusted identity, the processor 601 authorizes the user to perform relevant sensitive operations including unlocking the screen, viewing encrypted information, downloading software, paying, and changing settings, etc. The fingerprint sensor 614 may be disposed on the front, back, or side of the terminal 600. When a physical button or vendor Logo is provided on the terminal 600, the fingerprint sensor 614 may be integrated with the physical button or vendor Logo.
The optical sensor 615 is used to collect the ambient light intensity. In one embodiment, processor 601 may control the display brightness of touch display 605 based on the ambient light intensity collected by optical sensor 615. Specifically, when the ambient light intensity is high, the display brightness of the touch display screen 605 is increased; when the ambient light intensity is low, the display brightness of the touch display screen 605 is turned down. In another embodiment, the processor 601 may also dynamically adjust the shooting parameters of the camera assembly 606 according to the ambient light intensity collected by the optical sensor 615.
A proximity sensor 616, also known as a distance sensor, is typically disposed on the front panel of the terminal 600. The proximity sensor 616 is used to collect the distance between the user and the front surface of the terminal 600. In one embodiment, when the proximity sensor 616 detects that the distance between the user and the front surface of the terminal 600 gradually decreases, the processor 601 controls the touch display 605 to switch from the bright screen state to the dark screen state; when the proximity sensor 616 detects that the distance between the user and the front surface of the terminal 600 gradually becomes larger, the processor 601 controls the touch display 605 to switch from the breath screen state to the bright screen state.
That is, not only is the present application embodiment provide a terminal including a processor and a memory for storing processor executable instructions, wherein the processor is configured to execute the method in the embodiments shown in fig. 1 and 2, but also the present application embodiment provides a computer readable storage medium having a computer program stored therein, and the computer program can implement the mileage determining method of an automobile in the embodiments shown in fig. 1 and 2 when executed by the processor.
Those skilled in the art will appreciate that the configuration shown in fig. 6 is not intended to be limiting of terminal 600 and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components may be used.
It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by a program instructing relevant hardware, where the program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.
The above description is only exemplary of the present application and should not be taken as limiting the present application, as any modification, equivalent replacement, or improvement made within the spirit and principle of the present application should be included in the protection scope of the present application.
Claims (8)
1. A method of determining a range of an automobile, the method comprising:
in the running process of the electric automobile, determining that the battery of the battery in the electric automobile consumes energy and the battery recovers energy under different running working conditions of the electric automobile; determining a net output energy of the battery in a cycle based on the battery consumed energy and the battery recovered energy; determining the driving mileage of the electric automobile based on the net output energy of the battery;
before the electric automobile respectively acquires the battery consumption energy and the battery recovery energy of the battery in the electric automobile under different operation conditions, the method further comprises the following steps:
acquiring the running speed and the whole vehicle acceleration of the electric vehicle in the running process of the electric vehicle; determining the operation condition of the electric automobile based on the running speed, the acceleration of the whole automobile, the environmental information and the information of the whole automobile of the electric automobile; the whole vehicle information of the electric vehicle comprises the whole vehicle mass of the electric vehicle, the tire wheel dynamic resistance coefficient of the electric vehicle, the windward area of the electric vehicle and the conversion coefficient of the rotating mass, and the environment information comprises the road surface gradient and the wind resistance coefficient of the driving road of the electric vehicle;
the determining that the electric automobile consumes energy of a battery and recovers energy of the battery in the electric automobile under different operation conditions comprises the following steps:
when the running working condition of the electric automobile is a driving working condition, determining the battery consumption energy of the battery based on the variation of the wheel end power of the electric automobile under the driving working condition; when the running working condition of the electric automobile is a deceleration working condition, determining the battery recovery energy of the battery based on the variation of the wheel end power of the electric automobile under the deceleration working condition;
the method further comprises the following steps:
acquiring nominal electric quantity, finished automobile mass and corresponding endurance mileage of batteries of a plurality of electric automobiles; generating a endurance matrix based on the nominal electric quantity of the batteries of the plurality of electric vehicles, the total vehicle mass and the corresponding endurance mileage; and generating a endurance mileage determining model by fitting a data fitting tool based on the endurance matrix, wherein the endurance mileage determining model is used for determining the endurance mileage of the electric automobile.
2. The method of claim 1, wherein determining the battery consumption energy of the battery based on the amount of change in the wheel end power of the electric vehicle under the driving condition comprises:
determining the battery consumption energy of the battery through a first formula based on the variation of the wheel end power of the electric automobile under the driving working condition;
wherein, E is+Consuming energy for said battery, said
For the wheel end power is 0 to t1The amount of change in the driving condition within a time period, ηTFor driveline efficiency, said ηmFor the motor efficiency of the electric vehicle, the etadischargeIs the discharge efficiency of the cell.
3. The method of claim 1, wherein determining the battery recovery energy of the battery based on the amount of change in the wheel end power of the electric vehicle under the deceleration condition comprises:
determining the battery recovery energy of the battery through a second formula based on the variation of the wheel end power of the electric automobile under the deceleration working condition;
wherein, E is-Recovering energy for said battery, said
For the wheel end power is 0 to t2And the variation under the deceleration working condition in the time period, wherein eta is the energy recovery efficiency.
4. The method of claim 1, wherein determining the operating condition of the electric vehicle based on the driving speed, the vehicle acceleration, the environmental information, and the vehicle information of the electric vehicle comprises:
determining the wheel end power of the electric automobile through a third formula based on the running speed, the acceleration of the whole automobile, the environmental information and the information of the whole automobile of the electric automobile;
wherein, the PwheelIs the wheel end power of the electric vehicle, vaThe driving speed is the driving speed, m is the whole vehicle mass of the electric vehicle, g is the gravity acceleration, f is the tire wheel dynamic resistance coefficient of the electric vehicle, theta is the road surface gradient of the driving road of the electric vehicle, and CdIs a wind resistance coefficient, A is the windward area of the electric automobile, delta is a rotating mass conversion coefficient, and
the acceleration of the whole vehicle is obtained;
when the power of the wheel end is larger than 0, determining the running working condition of the electric automobile as a driving working condition;
and when the wheel end power is less than 0, determining that the running working condition of the electric automobile is a deceleration working condition.
5. The method of claim 1, wherein determining the net output energy of the battery in a cycle based on the battery consumed energy and the battery recovered energy comprises:
determining a net output energy of the battery in one cycle based on the battery consumed energy and the battery recovered energy by a fourth formula;
wherein, E iscycleFor the net output energy, E+Consuming energy for said battery, said E-And recovering energy for the battery, wherein Pl is the low-voltage load of the whole vehicle, Ph is the high-voltage load of the whole vehicle, and t is the time of one cycle working condition.
6. The method of claim 1 or 5, wherein determining the range of the electric vehicle based on the net output energy of the battery comprises:
multiplying the nominal electric quantity of the battery by the temperature coefficient of the battery to obtain a battery reference electric quantity;
determining the driving range of the electric automobile through a fifth formula based on the net output energy of the battery and the reference electric quantity of the battery;
wherein R is the endurance mileage and E iscycleNet output energy of the battery, L is the driving mileage of the electric vehicle under a single cycle working condition, and E1The DOD is a percentage of a discharged capacity of the battery to a nominal capacity of the battery.
7. An apparatus for determining a driving range of an automobile, the apparatus comprising:
the first determining module is used for determining battery consumption energy and battery recovery energy of a battery in the electric automobile under different operating conditions in the running process of the electric automobile;
a second determination module for determining a net output energy of the battery in one cycle based on the battery consumed energy and the battery recovered energy;
the third determination module is used for determining the driving mileage of the electric automobile based on the net output energy of the battery;
the apparatus also includes means for:
acquiring the running speed and the whole vehicle acceleration of the electric vehicle in the running process of the electric vehicle; determining the operation condition of the electric automobile based on the running speed, the acceleration of the whole automobile, the environmental information and the information of the whole automobile of the electric automobile; the whole vehicle information of the electric vehicle comprises the whole vehicle mass of the electric vehicle, the tire wheel dynamic resistance coefficient of the electric vehicle, the windward area of the electric vehicle and the conversion coefficient of the rotating mass, and the environment information comprises the road surface gradient and the wind resistance coefficient of the driving road of the electric vehicle;
the first determining module is configured to:
when the running working condition of the electric automobile is a driving working condition, determining the battery consumption energy of the battery based on the variation of the wheel end power of the electric automobile under the driving working condition; when the running working condition of the electric automobile is a deceleration working condition, determining the battery recovery energy of the battery based on the variation of the wheel end power of the electric automobile under the deceleration working condition;
the apparatus also includes means for:
acquiring nominal electric quantity, finished automobile mass and corresponding endurance mileage of batteries of a plurality of electric automobiles; generating a endurance matrix based on the nominal electric quantity of the batteries of the plurality of electric vehicles, the total vehicle mass and the corresponding endurance mileage; and generating a endurance mileage determining model by fitting a data fitting tool based on the endurance matrix, wherein the endurance mileage determining model is used for determining the endurance mileage of the electric automobile.
8. A computer-readable storage medium, having a computer program stored thereon, which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 6.
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| CN111651835B (en) * | 2020-05-28 | 2023-07-28 | 奇瑞汽车股份有限公司 | Method and device for determining output capacity of electric automobile and storage medium |
| CN113752898A (en) * | 2020-06-04 | 2021-12-07 | 株洲变流技术国家工程研究中心有限公司 | Battery capacity determination method for pure electric vehicle and related device |
| CN112895969B (en) * | 2021-03-02 | 2021-11-23 | 恒大新能源汽车投资控股集团有限公司 | Method and device for controlling replacement of battery pack of electric vehicle and storage medium |
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| CN106202972B (en) * | 2016-08-03 | 2019-03-15 | 奇瑞商用车（安徽）有限公司 | The method of electric automobile power battery energy is determined under a kind of state of cyclic operation |
| CN106323331A (en) * | 2016-08-22 | 2017-01-11 | 乐视控股（北京）有限公司 | Method and device of forecasting vehicle travel mileage |
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