CN117227580A - Method, device, equipment and storage medium for estimating endurance mileage of electric automobile - Google Patents
Method, device, equipment and storage medium for estimating endurance mileage of electric automobile Download PDFInfo
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Abstract
The application discloses an estimation method, device and equipment of electric automobile endurance mileage and a storage medium, wherein the estimation method comprises the following steps: determining an initial endurance mileage according to the residual electric quantity of a battery of an electric automobile and the unit mileage power consumption of the electric automobile; determining the residual capacity and the available power of the battery according to the battery temperature and the driving time; and correcting the initial endurance mileage according to the residual capacity and the available power to obtain a target endurance mileage. The estimated target range is more accurate by correcting the range by using the residual capacity and the available power of the battery, and the accuracy of range estimation is improved.
Description
Technical Field
The application belongs to the technical field of electric automobiles, and particularly relates to an estimation method, device and equipment of a endurance mileage of an electric automobile and a storage medium.
Background
One of the pain points of the electric automobile user is the endurance mileage anxiety, because the charging time of the pure electric automobile and the refueling time of the fuel oil automobile have a quite large difference, and the estimated value and the actual value of the endurance mileage of the electric automobile have a larger deviation.
The current range of the electric automobile is mainly obtained by dividing the battery capacity by hundred kilometers of energy consumption, the range estimated by the scheme is a theoretical value, and a larger deviation exists between the theoretical value and an actual value, so that the problem of lower accuracy exists in estimating the range of the electric automobile.
Disclosure of Invention
The embodiment of the application provides a method, a device, equipment and a storage medium for estimating the range of an electric automobile, and further solves the problem of low estimation accuracy of the range of the electric automobile at least to a certain extent.
Other features and advantages of the application will be apparent from the following detailed description, or may be learned by the practice of the application.
According to a first aspect of an embodiment of the present application, there is provided an estimation method of a range of an electric vehicle, the estimation method including:
determining an initial endurance mileage according to the residual electric quantity of a battery of an electric automobile and the unit mileage power consumption of the electric automobile;
determining the residual capacity and the available power of the battery according to the battery temperature and the driving time;
and correcting the initial endurance mileage according to the residual capacity and the available power to obtain a target endurance mileage.
In some embodiments of the present application, based on the foregoing aspects, the determining the remaining capacity and the available power of the battery according to the battery temperature and the driving time includes:
determining a full capacity of the battery at the battery temperature;
determining the use capacity of the battery in the running time according to the current of the battery;
and determining a difference between the full capacity and the usage capacity as the remaining capacity.
In some embodiments of the present application, based on the foregoing aspects, the determining the remaining capacity and the available power of the battery according to the battery temperature and the driving time includes:
determining the maximum allowable power of the electric automobile within a preset duration according to the battery temperature, the charge state of the battery and the running time;
determining the use power of the electric automobile in the preset time period;
and determining the difference between the maximum allowable power and the used power as the available power.
In some embodiments of the present application, based on the foregoing solution, the correcting the initial range according to the remaining capacity and the available power to obtain a target range includes:
and correcting the initial endurance mileage under the condition that the ratio of the residual capacity to the full capacity is smaller than a first preset value and the ratio of the available power to the maximum allowable power is smaller than a second preset value, so as to obtain the target endurance mileage.
In some embodiments of the present application, based on the foregoing solution, the power consumption per unit mileage is hundred kilometers of power consumption, and the estimation method further includes:
determining a full charge of the battery at the battery temperature;
determining the electricity consumption of the battery in the running time according to the current and the voltage of the battery;
determining the difference value between the full power and the power consumption as the residual power;
and determining the hundred kilometers of power consumption according to the environment temperature of the electric automobile.
In some embodiments of the present application, based on the foregoing solution, the determining the initial range according to the remaining power of the battery of the electric vehicle and the unit mileage power consumption of the electric vehicle includes:
determining the ratio of the residual electric quantity to the hundred kilometers of power consumption as a pending endurance mileage;
and determining the initial endurance mileage according to the undetermined endurance mileage, the average vehicle speed and the average vehicle speed of the electric vehicle in the driving time.
In some embodiments of the present application, based on the foregoing solution, the determining the initial range according to the pending range, the average vehicle speed and the vehicle speed of the electric vehicle in the driving time includes:
obtaining a first mileage of the electric vehicle in the running time according to the average speed of the electric vehicle in the running time;
obtaining a second mileage of the electric vehicle in the running time according to the speed of the electric vehicle in the running time;
multiplying the ratio of the first mileage to the second mileage by the pending mileage to obtain the initial mileage.
According to a second aspect of the embodiment of the present application, there is provided an estimation device for a range of an electric vehicle, the estimation device including:
the initial endurance mileage determining unit is used for determining initial endurance mileage according to the residual electric quantity of a battery of the electric vehicle and the unit mileage power consumption of the electric vehicle;
a correction factor determining unit for determining the remaining capacity and available power of the battery according to the battery temperature and the driving time;
and the cruising mileage correcting unit is used for correcting the initial cruising mileage according to the residual capacity and the available power to obtain a target cruising mileage.
In some embodiments of the present application, based on the foregoing, the correction factor determining unit is further configured to determine a full capacity of the battery at the battery temperature; determining the use capacity of the battery in the running time according to the current of the battery; and determining a difference between the full capacity and the usage capacity as the remaining capacity.
In some embodiments of the present application, based on the foregoing aspects, the correction factor determining unit is further configured to determine a maximum allowable power of the electric vehicle within a preset duration according to the battery temperature, the state of charge of the battery, and the driving time; determining the use power of the electric automobile in the preset time period; and determining the difference between the maximum allowable power and the used power as the available power.
In some embodiments of the present application, based on the foregoing solution, the range correction unit is further configured to correct the initial range to obtain the target range when a ratio of the remaining capacity to the full capacity is smaller than a first preset value and a ratio of the available power to the maximum allowable power is smaller than a second preset value.
In some embodiments of the present application, based on the foregoing, the initial range determination unit is further configured to determine a full charge of the battery at the battery temperature; determining the electricity consumption of the battery in the running time according to the current and the voltage of the battery; determining the difference value between the full power and the power consumption as the residual power; and determining the hundred kilometers of power consumption according to the environment temperature of the electric automobile.
In some embodiments of the present application, based on the foregoing solution, the initial range determining unit is further configured to determine a ratio of the remaining power and the hundred kilometers of power consumption as a pending range; and determining the initial endurance mileage according to the undetermined endurance mileage, the average vehicle speed and the average vehicle speed of the electric vehicle in the driving time.
In some embodiments of the present application, based on the foregoing solutions, the initial range determining unit is further configured to obtain a first range of the electric vehicle in the driving time according to an average vehicle speed of the electric vehicle in the driving time; obtaining a second mileage of the electric vehicle in the running time according to the speed of the electric vehicle in the running time; multiplying the ratio of the first mileage to the second mileage by the pending mileage to obtain the initial mileage.
According to a third aspect of an embodiment of the present application, there is provided an estimation device for a range of an electric vehicle, including a processor and a memory, the memory storing computer program instructions executable by the processor, the processor executing the computer program instructions to implement the instructions of the method according to any one of the first aspect.
According to a fourth aspect of embodiments of the present application, there is provided a computer readable storage medium having stored therein computer program instructions that are loaded and executed by a processor to carry out the operations performed by the method according to any of the first aspects above.
According to the application, the initial endurance mileage is determined according to the residual electric quantity of the battery of the electric automobile and the unit mileage power consumption of the electric automobile; determining the residual capacity and the available power of the battery according to the battery temperature and the driving time; and correcting the initial endurance mileage according to the residual capacity and the available power to obtain a target endurance mileage. The estimated target range is more accurate by correcting the range by using the residual capacity and the available power of the battery, and the accuracy of range estimation is improved.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application as claimed.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and together with the description, serve to explain the principles of the application. It is evident that the drawings in the following description are only some embodiments of the present application and that other drawings may be obtained from these drawings without inventive effort for a person of ordinary skill in the art. In the drawings:
fig. 1 is a flow chart of a method for estimating a range of an electric vehicle according to an embodiment;
fig. 2 is a flow chart illustrating a method for estimating a range of an electric vehicle according to another embodiment;
FIG. 3 is a block diagram of an apparatus for estimating a range of an electric vehicle in one embodiment;
fig. 4 is a schematic structural diagram of an apparatus for estimating a range of an electric vehicle according to an embodiment.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Furthermore, the described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a thorough understanding of embodiments of the application. One skilled in the relevant art will recognize, however, that the application may be practiced without one or more of the specific details, or with other methods, components, devices, steps, etc. In other instances, well-known methods, devices, implementations, or operations are not shown or described in detail to avoid obscuring aspects of the application.
The block diagrams depicted in the figures are merely functional entities and do not necessarily correspond to physically separate entities. That is, the functional entities may be implemented in software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor devices and/or microcontroller devices.
The flow diagrams depicted in the figures are exemplary only, and do not necessarily include all of the elements and operations/steps, nor must they be performed in the order described. For example, some operations/steps may be decomposed, and some operations/steps may be combined or partially combined, so that the order of actual execution may be changed according to actual situations.
It should also be noted that the terms "first," "second," and the like in the description and claims of the present application and in the above-described figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the objects so used may be interchanged where appropriate such that the embodiments of the application described herein may be implemented in other sequences than those illustrated or otherwise described.
Fig. 1 is a flow chart illustrating a method for estimating a range of an electric vehicle according to an embodiment, and as shown in fig. 1, a method for estimating a range of an electric vehicle is provided, and the method may include the following steps:
step 101, determining an initial endurance mileage according to the remaining power of the battery of the electric vehicle and the unit mileage power consumption of the electric vehicle.
In a specific implementation, the initial endurance mileage can be determined in various modes, in order to improve the calculation accuracy of the initial endurance mileage, the powerful calculation and storage capacity of a cloud big data platform can be utilized, typical driving conditions and driving habits of different users are collected, then key parameters are analyzed, and then the initial endurance mileage is determined together according to the key parameters, the residual electric quantity and the unit mileage power consumption, so that an intelligent management strategy of thousands of vehicles and thousands of vehicles is realized.
The key parameters include the environmental temperature, the running time, the vehicle speed, the current of the battery, the voltage of the battery and the battery temperature of the electric automobile in different running scenes. The power consumption per unit mileage may be hundred kilometers.
In one example, a full charge of the battery at the battery temperature may be determined; determining the electricity consumption of the battery in the running time according to the current and the voltage of the battery; determining the difference value between the full power and the power consumption as the residual power; and determining the power consumption of hundred kilometers according to the environmental temperature of the electric automobile.
It can be understood that in the driving process of the electric automobile, the battery temperature and the environmental temperature of the electric automobile are constantly changed, after the battery temperature and the environmental temperature are determined through the cloud big data platform, the electric quantity after the battery is fully charged, namely the full electric quantity, can be obtained based on the battery temperature lookup table, and the electric quantity value can be dynamically adjusted along with the service life attenuation of the battery. The hundred kilometers of power consumption at the ambient temperature can also be obtained based on an ambient temperature lookup table.
Assuming that the current is I, the voltage is U,when the starting time is t0 and the ending time is t1 in the running time, the electricity consumption in the running time can be usedAnd (3) representing.
Let the battery temperature be T batt. Full charge of E (T) batt. ) The ambient temperature is T envir. Hundred kilometers of power consumption EC (T) envir. ) The residual electric quantity is E resid. The initial endurance mileage is Range resid. The remaining power can be expressed asAnd (3) representing.
It should be noted that, the electric automobile is greatly affected by the environmental temperature, especially the attenuation of the electric quantity at low temperature is obvious, the endurance mileage is reduced, and the accuracy of the initial endurance mileage can be effectively improved by calculating the initial endurance mileage by using the hundred kilometer power consumption under the influence of the environmental temperature.
In one example, after the remaining power and the hundred kilometers of power consumption are determined, a ratio of the remaining power and the hundred kilometers of power consumption may be directly used as the initial range.
That is, the initial range may be calculated by the following formula:
wherein T is batt. For the battery temperature, E (T batt. ) For full charge at battery temperature, T0 is the start time during travel time, T1 is the end time during travel time, T envir. For ambient temperature, EC (T envir. ) For hundred kilometers of power consumption at ambient temperature E resid. Is the residual electric quantity.
In another example, when calculating the initial range, the influence of the vehicle speed, that is, the ratio of the remaining power to the hundred kilometers of power consumption, may be also considered to determine as the range to be determined; and determining the initial endurance mileage according to the pending endurance mileage and the average speed of the electric vehicle in the running time.
Specifically, according to the average speed of the electric automobile in the running time, a first mileage of the electric automobile in the running time can be obtained; obtaining a second mileage of the electric vehicle in the running time according to the speed of the electric vehicle in the running time; and multiplying the ratio of the first mileage to the second mileage by the undetermined mileage to obtain the initial mileage.
Assuming that the speed of the electric vehicle is S, the average speed is S ava. The first mileage may be passedCalculated, the second mileage can be obtained by +.>The initial endurance mileage can be calculated by the following formula:
in a specific implementation, the average vehicle speed S ava. May range from 50 to 80km/h, for example 60km/h.
By adding factors such as battery temperature, ambient temperature, current, voltage, vehicle speed and the like when calculating the initial endurance mileage, the initial endurance mileage is calculated according to the driving working conditions of the electric vehicle and the driving habits of the user, and the accuracy of the initial endurance mileage is improved.
Step 102, determining the residual capacity and the available power of the battery according to the battery temperature and the driving time.
It will be appreciated that to improve the accuracy of the calculation, the remaining capacity of the battery at the current battery temperature, as well as the available power of the electric vehicle at the current battery temperature and current state of charge, may be calculated.
In one example, the full capacity of the battery at the battery temperature may be determined; determining the use capacity of the battery in the running time according to the current of the battery; the difference between the full capacity and the used capacity is determined as the remaining capacity.
Let the residual capacity be Q resid. The battery temperature is T batt. The electric automobile is at the battery temperature T batt. The capacity after underfilling, i.e. the full capacity is Q (T batt. ) The capacity value is dynamically adjusted along with the service life decay of the battery, the starting time is t0, the ending time is t1, and the residual capacity Q resid. The calculation can be performed using the following formula:
in another example, the maximum allowable power of the electric vehicle within a preset duration may be determined according to the battery temperature, the state of charge of the battery, and the travel time; determining the use power of the electric automobile in a preset time period; the difference between the maximum allowable power and the used power is determined as the available power.
It is understood that the state of charge of the battery may be the state of charge when the vehicle starts to run or the state of charge during operation. In one example, the remaining capacity Q is calculated resid. The ratio of the remaining capacity to the full capacity can then be determined as the state of charge SOC, i.e. soc=q resid. /Q(T batt. )。
Specifically, the preset duration may be set according to the travel time, for example, the travel time is from 12: 00-14: 00, the preset time period may be set to 10s, or less than 10s. Taking the preset time length of 10s as an example, the example needs to determine the maximum allowable power of the electric automobile for 10s at the current battery temperature and state of charge. Assuming that the maximum allowable power is P (T batt. SOC), available power is P resid. The preset time is t, and the using power can be obtained byCalculated, available power P resid. Can be used to advantageThe calculation is performed by the following formula:
and step 103, correcting the initial range according to the residual capacity and the available power to obtain the target range.
It will be appreciated that after the remaining capacity and the available power are determined, the remaining capacity may be compared with the full capacity, the available power may be compared with the maximum allowable power, and if both conditions are met, the initial range may be approved from the dimension of the remaining capacity, and the initial range may be approved from the dimension of the available power, without requiring a correction to the initial range, otherwise, a correction may be required.
In one example, when the ratio of the remaining capacity to the full capacity is smaller than a first preset value and the ratio of the available power to the maximum allowable power is smaller than a second preset value, the initial range is corrected to obtain the target range.
The first preset value and the second preset value may be set according to actual situations, which is not limited in this embodiment.
When the initial endurance mileage is corrected, the correction process can be as followsWherein μ is a capacity correction coefficient, ++>Is a power correction factor.
In a specific implementation, the capacity correction coefficient μmay be 95% to 105%, the power correction coefficient may be 91.5% to 108.5%, and if the capacity correction coefficient μ is 95% and the power correction coefficient is 91.5%, the target Range is Range resid. *95％*91.5％。
According to the embodiment, the initial endurance mileage is determined according to the residual electric quantity of the battery of the electric vehicle and the unit mileage power consumption of the electric vehicle; determining the residual capacity and the available power of the battery according to the battery temperature and the driving time; and correcting the initial range according to the residual capacity and the available power to obtain the target range. The estimated target range is more accurate by correcting the range by using the residual capacity and the available power of the battery, and the accuracy of range estimation is improved.
Fig. 2 is a flow chart illustrating a method for estimating a range of an electric vehicle according to another embodiment, and as shown in fig. 2, a method for estimating a range of an electric vehicle is provided, and the method may include the following steps:
step 201, determining full charge of the battery at the battery temperature, determining power consumption of the battery in running time according to current and voltage of the battery, and determining a difference value between the full charge and the power consumption as residual power;
step 202, determining hundred kilometers of power consumption according to the environmental temperature of the electric automobile;
step 203, determining an initial endurance mileage according to the residual electric quantity, hundred kilometers of electric power consumption, and the average speed and the vehicle speed of the electric vehicle in the running time;
step 204, determining the full capacity of the battery at the battery temperature, determining the use capacity of the battery in the running time according to the current of the battery, and determining the difference between the full capacity and the use capacity as the residual capacity;
step 205, determining the maximum allowable power of the electric vehicle in a preset time period according to the battery temperature, the charge state of the battery and the running time, determining the use power of the electric vehicle in the preset time period, and determining the difference between the maximum allowable power and the use power as the available power;
and 206, correcting the initial range to obtain the target range when the ratio of the residual capacity to the full capacity is smaller than a first preset value and the ratio of the available power to the maximum allowable power is smaller than a second preset value.
In one example, parameters of an electric vehicle in the driving process can be uploaded to a cloud big data platform, and then the big data platform is used for analysis to infer that a vehicle user is biased to a mild driving habit. Assuming that the ambient temperature is 25 ℃ and the SOC at which the vehicle starts to travel is 100%, the travel time is from 12:00 to 14:00 pm, and the remaining mileage at 13:00 is exemplified as follows:
estimating and obtaining the initial Range based on the formula I and the formula II resid. Residual capacity Q is estimated based on formula three resid. If Q resid. ≥0.6*Q(T batt. ) Then from Q resid. Dimension approves the Range resid. A numerical value; estimating available power P based on formula four resid. If P resid. ≥0.4*P(T batt. SOC), then from P resid. Dimension approves the Range resid. Numerical values. Otherwise to Range resid. The numerical value is corrected, and the correction process is as follows
In another example, parameters in the running process of the electric automobile can be uploaded to a cloud big data platform, and then the big data platform is used for analysis to infer that the automobile user deviates to a mild driving habit. Assuming that the ambient temperature is 25 ℃ and the SOC at which the vehicle starts to travel is 50%, the travel time is from 12:00 pm to 14:00 pm, and the remaining mileage at 13:00 is exemplified as follows:
estimating and obtaining the initial Range based on the formula I and the formula II resid. Residual capacity Q is estimated based on formula three resid. If Q resid. ≥0.3*Q(T batt. ) Then from Q resid. Dimension approves the Range resid. A numerical value; estimating available power P based on formula four resid. If P resid. ≥0.6*P(T batt. SOC), then from P resid. Dimension approves the Range resid. Numerical values. Otherwise to Range resid. The numerical value is corrected, and the correction process is as follows
In yet another example, parameters during the driving process of the electric automobile can be uploaded to the cloud big data platform, and then the big data platform is used for analysis to infer that the automobile user prefers to intense driving habits. Assuming that the ambient temperature is 25 ℃ and the SOC at which the vehicle starts to travel is 100%, the travel time is from 12:00 to 14:00 pm, and the remaining mileage at 13:00 is exemplified as follows:
estimating and obtaining the initial Range based on the formula I and the formula II resid. Residual capacity Q is estimated based on formula three resid. If Q resid. ≥0.8*Q(T batt. ) Then from Q resid. Dimension approves the Range resid. A numerical value; estimating available power P based on formula four resid. If P resid. ≥0.6*P(T batt. SOC), then from P resid. Dimension approves the Range resid. Numerical values. Otherwise to Range resid. The numerical value is corrected, and the correction process is as follows
In yet another example, parameters during the driving process of the electric automobile can be uploaded to the cloud big data platform, and then the big data platform is used for analysis to infer that the automobile user prefers to intense driving habits. Assuming that the ambient temperature is 25 ℃ and the SOC at which the vehicle starts to travel is 50%, the travel time is from 12:00 pm to 14:00 pm, and the remaining mileage at 13:00 is exemplified as follows:
estimating and obtaining the initial Range based on the formula I and the formula II resid. Residual capacity Q is estimated based on formula three resid. If Q resid. ≥0.4*Q(T batt. ) Then from Q resid. Dimension approves the Range resid. A numerical value; estimating available power P based on formula four resid. If P resid. ≥0.8*P(T batt. SOC), then from P resid. Dimension approves of the aboveRange resid. Numerical values. Otherwise to Range resid. The numerical value is corrected, and the correction process is as follows
According to the embodiment, the continuous voyage mileage estimation of the electric automobile is carried out based on big data, intelligent management of thousands of vehicles and thousands of vehicles is achieved, and the continuous voyage mileage estimation precision of each automobile is improved.
The following describes an embodiment of the device of the present application, which may be used to execute the method for estimating the endurance mileage of the electric vehicle in the above embodiment of the present application. For details not disclosed in the embodiment of the device of the present application, please refer to the embodiment of the method for estimating the endurance mileage of the electric vehicle.
Referring to fig. 3, a block diagram of an estimation device of a range of an electric vehicle in an embodiment of the present application is shown.
As shown in fig. 3, the device for estimating the endurance mileage of the electric vehicle according to the embodiment of the present application includes: the device comprises an initial endurance mileage determining unit 301, a correction factor determining unit 302 and an endurance mileage correcting unit 303, wherein the initial endurance mileage determining unit 301 is used for determining an initial endurance mileage according to the residual electric quantity of a battery of an electric vehicle and the unit mileage power consumption of the electric vehicle; a correction factor determining unit 302 for determining the remaining capacity and available power of the battery according to the battery temperature and the travel time; and the range correction unit 303 is configured to correct the initial range according to the remaining capacity and the available power, so as to obtain the target range.
In some embodiments of the present application, based on the foregoing, the correction factor determining unit 302 is further configured to determine a full capacity of the battery at the battery temperature; determining the use capacity of the battery in the running time according to the current of the battery; the difference between the full capacity and the used capacity is determined as the remaining capacity.
In some embodiments of the present application, based on the foregoing solution, the correction factor determining unit 302 is further configured to determine, according to the battery temperature, the state of charge of the battery, and the driving time, a maximum allowable power of the electric vehicle within a preset duration; determining the use power of the electric automobile in a preset time period; the difference between the maximum allowable power and the used power is determined as the available power.
In some embodiments of the present application, based on the foregoing solution, the range correction unit 303 is further configured to correct the initial range to obtain the target range when the ratio of the remaining capacity to the full capacity is smaller than a first preset value and the ratio of the available power to the maximum allowable power is smaller than a second preset value.
In some embodiments of the present application, based on the foregoing scheme, the initial range determination unit 301 is further configured to determine a full charge of the battery at the battery temperature; determining the electricity consumption of the battery in the running time according to the current and the voltage of the battery; determining the difference value between the full power and the power consumption as the residual power; and determining the power consumption of hundred kilometers according to the environmental temperature of the electric automobile.
In some embodiments of the present application, based on the foregoing solution, the initial range determining unit 301 is further configured to determine a ratio of the remaining power to the hundred kilometers of power consumption as the pending range; and determining the initial endurance mileage according to the pending endurance mileage and the average speed of the electric vehicle in the running time.
In some embodiments of the present application, based on the foregoing solution, the initial range determining unit 301 is further configured to obtain a first range of the electric vehicle during a driving time according to an average vehicle speed of the electric vehicle during the driving time; obtaining a second mileage of the electric vehicle in the running time according to the speed of the electric vehicle in the running time; and multiplying the ratio of the first mileage to the second mileage by the undetermined mileage to obtain the initial mileage.
Based on the same inventive concept, the embodiment of the present application further provides an electric vehicle range estimation device, referring to fig. 4, which shows a schematic structural diagram of the electric vehicle range estimation device in the embodiment of the present application, where the electric vehicle range estimation device includes one or more memories 404, one or more processors 402, and at least one computer program (computer program instruction) stored on the memories 404 and capable of running on the processors 402, and when the processors 402 execute the computer program, the method as described above is implemented.
Where in FIG. 4 a bus architecture (represented by bus 400), bus 400 may comprise any number of interconnected buses and bridges, with bus 400 linking together various circuits, including one or more processors, represented by processor 402, and memory, represented by memory 404. Bus 400 may also link together various other circuits such as peripheral devices, voltage regulators, power management circuits, etc., as are well known in the art and, therefore, will not be described further herein. Bus interface 405 provides an interface between bus 400 and receiver 401 and transmitter 403. The receiver 401 and the transmitter 403 may be the same element, i.e. a transceiver, providing a means for communicating with various other apparatus over a transmission medium. The processor 402 is responsible for managing the bus 400 and general processing, while the memory 404 may be used to store data used by the processor 402 in performing operations.
Based on the same inventive concept, embodiments of the present application provide a computer-readable storage medium having stored therein at least one computer program instruction that is loaded and executed by a processor to implement operations performed by the method as described above.
The functions described herein may be implemented in hardware, software executed by a processor, firmware, or any combination thereof. If implemented in software that is executed by a processor, the functions may be stored on or transmitted over as one or more instructions or code on a computer-readable medium. Other examples and implementations are within the scope and spirit of the application and the appended claims. For example, due to the nature of software, the functions described above may be implemented using software executed by a processor, hardware, firmware, hardwired, or a combination of any of these. In addition, each functional unit may be integrated in one processing unit, each unit may exist alone physically, or two or more units may be integrated in one unit.
In the several embodiments provided in the present application, it should be understood that the disclosed technology may be implemented in other manners. The above-described embodiments of the apparatus are merely exemplary, and the division of the units, for example, may be a logic function division, and may be implemented in another manner, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some interfaces, units or modules, or may be in electrical or other forms.
The units described as separate components may or may not be physically separate, and components as control devices may or may not be physical units, may be located in one place, or may be distributed over a plurality of units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be embodied essentially or in part or all of the technical solution or in part in the form of a software product stored in a storage medium, including instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a usb disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a removable hard disk, a magnetic disk, or an optical disk, or other various media capable of storing computer program instructions.
The above description is only an example of the present application and is not intended to limit the present application, but various modifications and variations can be made to the present application by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (10)
1. The estimation method of the electric vehicle endurance mileage is characterized by comprising the following steps:
determining an initial endurance mileage according to the residual electric quantity of a battery of an electric automobile and the unit mileage power consumption of the electric automobile;
determining the residual capacity and the available power of the battery according to the battery temperature and the driving time;
and correcting the initial endurance mileage according to the residual capacity and the available power to obtain a target endurance mileage.
2. The estimation method according to claim 1, wherein the determining the remaining capacity and the available power of the battery according to the battery temperature and the travel time includes:
determining a full capacity of the battery at the battery temperature;
determining the use capacity of the battery in the running time according to the current of the battery;
and determining a difference between the full capacity and the usage capacity as the remaining capacity.
3. The estimation method according to claim 2, wherein the determining the remaining capacity and the available power of the battery according to the battery temperature and the travel time includes:
determining the maximum allowable power of the electric automobile within a preset duration according to the battery temperature, the charge state of the battery and the running time;
determining the use power of the electric automobile in the preset time period;
and determining the difference between the maximum allowable power and the used power as the available power.
4. The estimation method according to claim 3, wherein the correcting the initial range according to the remaining capacity and the available power to obtain the target range includes:
and correcting the initial endurance mileage under the condition that the ratio of the residual capacity to the full capacity is smaller than a first preset value and the ratio of the available power to the maximum allowable power is smaller than a second preset value, so as to obtain the target endurance mileage.
5. The estimation method according to claim 1, wherein the power consumption per unit mileage is hundred kilometers of power consumption, the estimation method further comprising:
determining a full charge of the battery at the battery temperature;
determining the electricity consumption of the battery in the running time according to the current and the voltage of the battery;
determining the difference value between the full power and the power consumption as the residual power;
and determining the hundred kilometers of power consumption according to the environment temperature of the electric automobile.
6. The method according to claim 5, wherein determining the initial range based on the remaining power of the battery of the electric vehicle and the power consumption per unit range of the electric vehicle comprises:
determining the ratio of the residual electric quantity to the hundred kilometers of power consumption as a pending endurance mileage;
and determining the initial endurance mileage according to the undetermined endurance mileage, the average vehicle speed and the average vehicle speed of the electric vehicle in the driving time.
7. The method of estimating according to claim 6, wherein said determining the initial range from the pending range, the average vehicle speed of the electric vehicle during the travel time, and the vehicle speed comprises:
obtaining a first mileage of the electric vehicle in the running time according to the average speed of the electric vehicle in the running time;
obtaining a second mileage of the electric vehicle in the running time according to the speed of the electric vehicle in the running time;
multiplying the ratio of the first mileage to the second mileage by the pending mileage to obtain the initial mileage.
8. An estimation device of electric automobile continuation of journey mileage, characterized in that, estimation device includes:
the initial endurance mileage determining unit is used for determining initial endurance mileage according to the residual electric quantity of a battery of the electric vehicle and the unit mileage power consumption of the electric vehicle;
a correction factor determining unit for determining the remaining capacity and available power of the battery according to the battery temperature and the driving time;
and the cruising mileage correcting unit is used for correcting the initial cruising mileage according to the residual capacity and the available power to obtain a target cruising mileage.
9. An electric vehicle range estimation device comprising a processor and a memory, characterized in that the memory stores computer program instructions executable by the processor, the processor executing the computer program instructions to implement the method of any of claims 1 to 7.
10. A computer readable storage medium having stored therein computer program instructions that are loaded and executed by a processor to implement operations performed by the method of any one of claims 1 to 7.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311255816.4A CN117227580A (en) | 2023-09-26 | 2023-09-26 | Method, device, equipment and storage medium for estimating endurance mileage of electric automobile |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311255816.4A CN117227580A (en) | 2023-09-26 | 2023-09-26 | Method, device, equipment and storage medium for estimating endurance mileage of electric automobile |
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| CN117227580A true CN117227580A (en) | 2023-12-15 |
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| CN202311255816.4A Pending CN117227580A (en) | 2023-09-26 | 2023-09-26 | Method, device, equipment and storage medium for estimating endurance mileage of electric automobile |
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| CN (1) | CN117227580A (en) |
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- 2023-09-26 CN CN202311255816.4A patent/CN117227580A/en active Pending
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