CN114889492B - Method, device and system for estimating endurance mileage of electric automobile and storage medium - Google Patents

Method, device and system for estimating endurance mileage of electric automobile and storage medium Download PDF

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CN114889492B
CN114889492B CN202210499949.5A CN202210499949A CN114889492B CN 114889492 B CN114889492 B CN 114889492B CN 202210499949 A CN202210499949 A CN 202210499949A CN 114889492 B CN114889492 B CN 114889492B
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vehicle
slope
current
primary function
charge
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CN114889492A (en
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刘兴义
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Weichai Power Co Ltd
Weifang Weichai Power Technology Co Ltd
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Weichai Power Co Ltd
Weifang Weichai Power Technology Co Ltd
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    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L58/00—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
    • B60L58/10—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
    • B60L58/12—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries responding to state of charge [SoC]
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L3/00—Electric devices on electrically-propelled vehicles for safety purposes; Monitoring operating variables, e.g. speed, deceleration or energy consumption
    • B60L3/12—Recording operating variables ; Monitoring of operating variables
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L2240/00—Control parameters of input or output; Target parameters
    • B60L2240/40—Drive Train control parameters
    • B60L2240/54—Drive Train control parameters related to batteries
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L2260/00—Operating Modes
    • B60L2260/40—Control modes
    • B60L2260/44—Control modes by parameter estimation
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L2260/00—Operating Modes
    • B60L2260/40—Control modes
    • B60L2260/50—Control modes by future state prediction
    • B60L2260/52—Control modes by future state prediction drive range estimation, e.g. of estimation of available travel distance
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L2260/00—Operating Modes
    • B60L2260/40—Control modes
    • B60L2260/50—Control modes by future state prediction
    • B60L2260/54—Energy consumption estimation
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00—Road transport of goods or passengers
    • Y02T10/60—Other road transportation technologies with climate change mitigation effect
    • Y02T10/70—Energy storage systems for electromobility, e.g. batteries

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Abstract

The application provides a method, a device, a system and a storage medium for estimating the endurance mileage of an electric automobile, wherein the method comprises the following steps: and taking the consumed state of charge values of the batteries corresponding to the N vehicle operating points in the current time period as independent variables of a first primary function, taking the vehicle driving mileage values corresponding to the N vehicle operating points as dependent variables of the first primary function, performing linear fitting to obtain a first slope K of the first primary function, and multiplying the first slope K by the state of charge of the batteries in the current operating condition to obtain the continuous mileage of the current electric automobile. Therefore, the electric vehicle range is estimated by performing fitting through on-line acquisition parameters, and the accuracy of estimating the electric vehicle range is improved while the calibration quantity is reduced.

Description

Method, device and system for estimating endurance mileage of electric automobile and storage medium
Technical Field
The application relates to the field of electric automobiles, in particular to a method, a device, a system and a storage medium for estimating the endurance mileage of an electric automobile.
Background
The endurance mileage of the electric automobile can change in real time according to factors such as the battery state of charge, the vehicle load, the vehicle speed, the road condition and the like, the conventional endurance mileage estimation method needs to obtain the endurance mileage through the residual total energy of the battery and the average consumed electric energy, however, the average consumed electric energy is greatly influenced by the battery voltage, the vehicle load, the set initial value of the average consumed electric energy and the like, and the estimation of the endurance mileage of the electric automobile is not accurate enough.
Therefore, how to improve the accuracy of estimating the range of the electric automobile is a technical problem to be solved in the field.
Disclosure of Invention
Accordingly, the present application is directed to a method, apparatus, system and storage medium for estimating the range of an electric vehicle, which can improve the accuracy of estimating the range of the electric vehicle and enhance the driving experience of the user.
In order to achieve the above purpose, the application has the following technical scheme:
in a first aspect, an embodiment of the present application provides a method for estimating a range of an electric vehicle, including:
Taking the consumed state of charge values of the batteries corresponding to N vehicle operating points in the current time period as independent variables of a first primary function, and taking the vehicle driving mileage values corresponding to the N vehicle operating points as the independent variables of the first primary function, and performing linear fitting to obtain a first slope K of the first primary function;
And multiplying the first slope K by the state of charge of the battery under the current working condition to obtain the current electric vehicle endurance mileage.
In one possible implementation manner, the multiplying the slope K by the state of charge of the battery at the current vehicle operating point to obtain the current range of the electric vehicle includes:
Dleft＝Dmax-D＝K*100％+Db－(KX+Db)
＝K*100％+Db－K(100％-SOC)－Db＝K*SOC；
Wherein Dleft is the current electric vehicle range value, dmax is the electric vehicle maximum range value, D is the vehicle range value corresponding to the current vehicle operating point, db is the intercept value of the first primary function, X is the battery consumed state of charge value corresponding to the current vehicle operating point, and SOC is the current vehicle operating point battery state of charge.
In one possible implementation, the method further includes:
The first slope K is stored in a vehicle memory.
In one possible implementation, the method further includes:
When a vehicle runs for a first time, taking the consumed state of charge values of the batteries corresponding to N vehicle working condition points of the first time as independent variables of a second primary function, taking the vehicle driving mileage values corresponding to the N vehicle working condition points as the independent variables of the second primary function, and performing linear fitting to obtain a second slope of the second primary function;
and when the deviation of the second slope and the first slope is larger than a preset threshold, replacing the first slope with the second slope.
In a second aspect, an embodiment of the present application provides an electric vehicle range estimation device, including:
the linear fitting unit is used for taking the consumed state of charge values of the batteries corresponding to N vehicle operating points in the current time length as independent variables of a first primary function, and taking the vehicle driving mileage values corresponding to the N vehicle operating points as the independent variables of the first primary function to perform linear fitting so as to obtain a first slope K of the first primary function;
And the calculating unit is used for multiplying the first slope K by the state of charge of the battery under the current working condition to obtain the current electric vehicle endurance mileage.
In one possible implementation manner, the calculating unit specifically calculates the current electric vehicle range according to the following formula:
Dleft＝Dmax-D＝K*100％+Db－(KX+Db)
＝K*100％+Db－K(100％-SOC)－Db＝K*SOC；
Wherein Dleft is the current electric vehicle range value, dmax is the electric vehicle maximum range value, D is the vehicle range value corresponding to the current vehicle operating point, db is the intercept value of the first primary function, X is the battery consumed state of charge value corresponding to the current vehicle operating point, and SOC is the current vehicle operating point battery state of charge.
In one possible implementation, the apparatus further includes:
and the storage unit is used for storing the first slope K in a vehicle memory.
In one possible implementation, the apparatus further includes:
The second slope unit is used for taking the consumed state of charge values of the batteries corresponding to the N vehicle operating points of the first time as independent variables of a second primary function after the vehicle runs for the first time, and taking the vehicle driving mileage values corresponding to the N vehicle operating points as the independent variables of the second primary function to perform linear fitting so as to obtain a second slope of the second primary function;
And the replacing unit is used for replacing the first slope with the second slope when the deviation between the second slope and the first slope is larger than a preset threshold value.
In a third aspect, an embodiment of the present application further provides an electric vehicle range estimation system, including:
a memory for storing a computer program;
and the processor is used for realizing the steps of the electric vehicle range estimation method when executing the computer program.
In a fourth aspect, an embodiment of the present application further provides a computer readable storage medium, where a computer program is stored, where the computer program is executed to implement the steps of the method for estimating a range of an electric vehicle.
Compared with the prior art, the embodiment of the application has the following advantages:
The embodiment of the application provides a method, a device, a system and a storage medium for estimating the endurance mileage of an electric automobile, wherein the method comprises the following steps: and taking the consumed state of charge values of the batteries corresponding to the N vehicle operating points in the current time period as independent variables of a first primary function, taking the vehicle driving mileage values corresponding to the N vehicle operating points as dependent variables of the first primary function, performing linear fitting to obtain a first slope K of the first primary function, and multiplying the first slope K by the state of charge of the batteries in the current operating condition to obtain the continuous mileage of the current electric automobile. Therefore, the electric vehicle range is estimated by performing fitting through on-line acquisition parameters, and the accuracy of estimating the electric vehicle range is improved while the calibration quantity is reduced.
Drawings
In order to more clearly illustrate the embodiments of the application or the technical solutions in the prior art, the drawings that are needed in the embodiments or the description of the prior art will be briefly described below, it being obvious that the drawings in the following description are some embodiments of the application and that other drawings may be obtained from these drawings without inventive effort for a person skilled in the art.
Fig. 1 shows a flowchart of a method for estimating a range of an electric vehicle according to an embodiment of the present application;
FIG. 2 is a graph showing a battery consumed state of charge as a function of a vehicle mileage value according to an embodiment of the present application;
fig. 3 shows a schematic diagram of an electric vehicle range estimation device according to an embodiment of the present application.
Detailed Description
In order that the above objects, features and advantages of the application will be readily understood, a more particular description of the application will be rendered by reference to the appended drawings.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present application, but the present application may be practiced in other ways other than those described herein, and persons skilled in the art will readily appreciate that the present application is not limited to the specific embodiments disclosed below.
As described in the background art, the range of the electric vehicle varies in real time according to the battery state of charge, the vehicle load, the vehicle speed, the road condition, and other factors, and the conventional range estimation method needs to obtain the range through the remaining total energy of the battery and the average consumption electric energy, however, the average consumption electric energy is greatly influenced by the battery voltage, the vehicle load, the set initial value of the average consumption electric energy, and the like, so that the estimation of the range of the electric vehicle is not accurate enough.
Therefore, how to improve the accuracy of estimating the range of the electric automobile is a technical problem to be solved in the field.
In order to solve the technical problems, the embodiment of the application provides a method, a device, a system and a storage medium for estimating the endurance mileage of an electric vehicle, wherein the method comprises the following steps: and taking the consumed state of charge values of the batteries corresponding to the N vehicle operating points in the current time period as independent variables of a first primary function, taking the vehicle driving mileage values corresponding to the N vehicle operating points as dependent variables of the first primary function, performing linear fitting to obtain a first slope K of the first primary function, and multiplying the first slope K by the state of charge of the batteries in the current operating condition to obtain the continuous mileage of the current electric automobile. Therefore, the electric vehicle range is estimated by performing fitting through on-line acquisition parameters, and the accuracy of estimating the electric vehicle range is improved while the calibration quantity is reduced.
Exemplary method
Referring to fig. 1, the flowchart of a method for estimating driving range of an electric vehicle according to an embodiment of the present application includes:
S101: and taking the battery consumed state of charge values corresponding to N vehicle operating points in the current time period as independent variables of a first primary function, taking the vehicle driving mileage values corresponding to the N vehicle operating points as the independent variables of the first primary function, and performing linear fitting to obtain a first slope K of the first primary function.
In the embodiment of the application, the battery state of charge can be obtained in real time from a Battery Management System (BMS) MANAGEMENT SYSTEM in the running process of the electric automobile, wherein the battery state of charge is the percentage of the residual electric quantity of the battery, and the battery state of charge is from 0% to 100%, and the battery state of charge indicates that the battery is not charged when the battery is 0% and indicates that the battery is full when the battery is 100%.
The battery consumed state of charge value=100% -battery state of charge, so that the battery state of charge values corresponding to the N operating points of the current duration can be collected, and the battery consumed state of charge values corresponding to the N operating points of the vehicle of the current duration can be obtained through calculation by the battery state of charge value.
Similarly, vehicle mileage values corresponding to the N vehicle operating points may be obtained from the hybrid vehicle controller (HCU, hybrid Control Unit).
Referring to fig. 2, a graph of a functional relationship between a battery consumed state of charge value and a vehicle driving mileage value is shown, where the functional relationship between a vehicle real-time driving mileage value and a real-time state of charge is a curve function d=f (x) that changes in real time, but the functional relationship between the vehicle real-time driving mileage value and the real-time state of charge is a first one-time functional relationship d=kx+db, which is provided in the embodiment of the present application, because the electric vehicle is affected by the vehicle weight, the vehicle speed, the road condition, and the use condition of the load in the vehicle during driving.
Wherein D is a vehicle driving mileage value corresponding to a current vehicle working condition point, db is an intercept value of a first primary function, a first slope K of the first primary function, and X is a battery consumed state of charge value corresponding to the current vehicle working condition point.
In the embodiment of the application, the consumed state of charge value of the battery corresponding to each of N vehicle operating points in the current time length is taken as the independent variable of the first primary function, and the vehicle driving mileage value corresponding to each of N vehicle operating points is taken as the independent variable of the first primary function, and linear fitting is performed to obtain a first slope K of the first primary function.
S102: and multiplying the first slope K by the state of charge of the battery under the current working condition to obtain the current electric vehicle endurance mileage.
In the embodiment of the present application Dleft =dmax-D (1);
Dmax＝K*100％+Db (2)；
D＝KX+Db (3)；
X＝100％-SOC (4)；
Wherein Dleft is a current electric vehicle range value, dmax is an electric vehicle maximum range value, D is a vehicle range value corresponding to a current vehicle operating point, db is an intercept value of a first primary function, X is a battery consumed state of charge value corresponding to the current vehicle operating point, and SOC is a battery state of charge of the current vehicle operating point.
From the above four formulas Dleft =dmax-d=k 100% + Db- (kx+db)
＝K*100％+Db－K(100％-SOC)－Db＝K*SOC；
The first slope K is multiplied by the state of charge of the battery under the current working condition to obtain the current electric vehicle range, so that the electric vehicle range is estimated by performing fitting through on-line acquisition parameters, the calibration quantity is reduced, and meanwhile, the accuracy of estimating the electric vehicle range is improved.
In one possible implementation, the current electric vehicle range may be displayed on the vehicle dashboard in real time to enhance the driving experience of the driver.
In one possible implementation manner, when the power-down of the whole vehicle is detected, the currently used first slope K value is stored in a vehicle memory in the process of driving the vehicle, so that the next power-up is conveniently initialized and timely invoked, and optionally, the vehicle memory can be an EEPROM (ELECTRICALLY ERASABLE PROGRAMMABLE READ ONLY MEMORY, electrically erasable programmable read-only memory).
In one possible implementation, due to the real-time variation of the working condition, the load usage, etc. of the vehicle, the value of the first slope K may not be accurate enough, and thus the accuracy of estimating the range of the electric vehicle may be reduced, so:
When the vehicle runs for a first time period (for example, one minute), taking the consumed state of charge values of the batteries corresponding to N vehicle working condition points of the first time period as independent variables of a second primary function, taking the vehicle driving mileage values corresponding to N vehicle working condition points as independent variables of the second primary function, and performing linear fitting to obtain a second slope of the second primary function, namely, collecting the consumed state of charge values of the batteries and the vehicle driving mileage values again.
When the deviation between the second slope and the first slope is larger than a preset threshold, the accuracy of the first slope K is lower, and the second slope is used for replacing the first slope at the moment, so that the first slope K is updated, and the accuracy of estimating the endurance mileage of the electric automobile is ensured.
When the deviation between the second slope and the first slope is smaller than or equal to a preset threshold, the accuracy of the first slope K is higher, the first slope K can be thrown away, the value of the first slope K is kept unchanged, resources are saved, and the waste of frequent updating is avoided.
Meanwhile, in a possible implementation manner, a larger PT1 (First order low pass filter PASS FILTER) filter can be adopted for slow filtering transition in the process of switching from the First slope to the second slope, so as to prevent abrupt change of the endurance mileage.
The embodiment of the application provides a method for estimating the endurance mileage of an electric automobile, which comprises the following steps: and taking the consumed state of charge values of the batteries corresponding to the N vehicle operating points in the current time period as independent variables of a first primary function, taking the vehicle driving mileage values corresponding to the N vehicle operating points as dependent variables of the first primary function, performing linear fitting to obtain a first slope K of the first primary function, and multiplying the first slope K by the state of charge of the batteries in the current operating condition to obtain the continuous mileage of the current electric automobile. Therefore, the electric vehicle range is estimated by performing fitting through on-line acquisition parameters, and the accuracy of estimating the electric vehicle range is improved while the calibration quantity is reduced.
Exemplary apparatus
Referring to fig. 3, a schematic diagram of a driving range estimation device for an electric vehicle according to an embodiment of the present application includes:
A linear fitting unit 301, configured to take the state of charge values of the current duration of N vehicle operating points, where the state of charge values of the current duration of N vehicle operating points are used as independent variables of a first primary function, and the vehicle driving mileage values corresponding to the N vehicle operating points are used as independent variables of the first primary function, and perform linear fitting to obtain a first slope K of the first primary function;
The calculating unit 302 is configured to multiply the first slope K by a current state of charge of the battery under the current working condition to obtain a current range of the electric vehicle.
In one possible implementation manner, the calculating unit specifically calculates the current electric vehicle range according to the following formula:
Dleft＝Dmax-D＝K*100％+Db－(KX+Db)
＝K*100％+Db－K(100％-SOC)－Db＝K*SOC；
Wherein Dleft is the current electric vehicle range value, dmax is the electric vehicle maximum range value, D is the vehicle range value corresponding to the current vehicle operating point, db is the intercept value of the first primary function, X is the battery consumed state of charge value corresponding to the current vehicle operating point, and SOC is the current vehicle operating point battery state of charge.
In one possible implementation, the apparatus further includes:
and the storage unit is used for storing the first slope K in a vehicle memory.
In one possible implementation, the apparatus further includes:
The second slope unit is used for taking the consumed state of charge values of the batteries corresponding to the N vehicle operating points of the first time as independent variables of a second primary function after the vehicle runs for the first time, and taking the vehicle driving mileage values corresponding to the N vehicle operating points as the independent variables of the second primary function to perform linear fitting so as to obtain a second slope of the second primary function;
And the replacing unit is used for replacing the first slope with the second slope when the deviation between the second slope and the first slope is larger than a preset threshold value.
The embodiment of the application provides an electric automobile endurance mileage estimation device, and a method for using the device comprises the following steps: and taking the consumed state of charge values of the batteries corresponding to the N vehicle operating points in the current time period as independent variables of a first primary function, taking the vehicle driving mileage values corresponding to the N vehicle operating points as dependent variables of the first primary function, performing linear fitting to obtain a first slope K of the first primary function, and multiplying the first slope K by the state of charge of the batteries in the current operating condition to obtain the continuous mileage of the current electric automobile. Therefore, the electric vehicle range is estimated by performing fitting through on-line acquisition parameters, and the accuracy of estimating the electric vehicle range is improved while the calibration quantity is reduced.
On the basis of the above embodiment, the embodiment of the present application further provides an electric vehicle driving range estimation system, including:
a memory for storing a computer program;
and the processor is used for realizing the steps of the electric vehicle driving range estimation method when executing the computer program.
On the basis of the above embodiments, the present application further provides a computer readable storage medium, where a computer program is stored, and the computer program is processed and executed to implement the steps of the method for estimating the driving range of the electric vehicle.
The computer readable storage medium may include: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
In this specification, each embodiment is described in a progressive manner, and identical and similar parts of each embodiment are all referred to each other, and each embodiment mainly describes differences from other embodiments. In particular, for device embodiments, since they are substantially similar to method embodiments, the description is relatively simple, as relevant to see the section of the method embodiments.
The foregoing is merely a preferred embodiment of the present application, and the present application has been disclosed in the above description of the preferred embodiment, but is not limited thereto. Any person skilled in the art can make many possible variations and modifications to the technical solution of the present application or modifications to equivalent embodiments using the methods and technical contents disclosed above, without departing from the scope of the technical solution of the present application. Therefore, any simple modification, equivalent variation and modification of the above embodiments according to the technical substance of the present application still fall within the scope of the technical solution of the present application.

Claims (6)

1. The method for estimating the endurance mileage of the electric vehicle is characterized by comprising the following steps of:
Taking the consumed state of charge values of the batteries corresponding to N vehicle operating points in the current time period as independent variables of a first primary function, and taking the vehicle driving mileage values corresponding to the N vehicle operating points as the independent variables of the first primary function, and performing linear fitting to obtain a first slope K of the first primary function;
Multiplying the first slope K by the state of charge of a battery under the current working condition to obtain the current electric vehicle endurance mileage;
Multiplying the first slope K by the state of charge of the battery under the current working condition to obtain the current electric vehicle endurance mileage, including:
Dleft=Dmax-D= K*100%+ Db－（KX+Db）
= K*100%+ Db－K（100%-SOC）－Db= K*SOC；
Wherein Dleft is a current electric vehicle endurance mileage value, dmax is an electric vehicle maximum mileage value, D is a vehicle mileage value corresponding to a current vehicle operating point, db is an intercept value of the first one-time function, X is a battery consumed state of charge value corresponding to the current vehicle operating point, and SOC is the current operating battery state of charge;
When a vehicle runs for a first time, taking the consumed state of charge values of the batteries corresponding to N vehicle working condition points of the first time as independent variables of a second primary function, taking the vehicle driving mileage values corresponding to the N vehicle working condition points as the independent variables of the second primary function, and performing linear fitting to obtain a second slope of the second primary function;
and when the deviation of the second slope and the first slope is larger than a preset threshold, replacing the first slope with the second slope.
2. The method as recited in claim 1, further comprising:
The first slope K is stored in a vehicle memory.
3. An electric automobile continuation mileage estimation device, which is characterized by comprising:
the linear fitting unit is used for taking the consumed state of charge values of the batteries corresponding to N vehicle operating points in the current time length as independent variables of a first primary function, and taking the vehicle driving mileage values corresponding to the N vehicle operating points as the independent variables of the first primary function to perform linear fitting so as to obtain a first slope K of the first primary function;
The calculating unit is used for multiplying the first slope K by the state of charge of the battery under the current working condition to obtain the current electric vehicle endurance mileage;
the calculation unit calculates the current electric automobile endurance mileage according to the following formula:
Dleft=Dmax-D= K*100%+ Db－（KX+Db）
= K*100%+ Db－K（100%-SOC）－Db= K*SOC；
Wherein Dleft is the current electric vehicle endurance mileage value, dmax is the electric vehicle maximum mileage value, D is the vehicle mileage value corresponding to the current vehicle operating point, db is the intercept value of the first one-time function, X is the battery consumed state of charge value corresponding to the current vehicle operating point, and SOC is the current operating battery state of charge;
The second slope unit is used for taking the consumed state of charge values of the batteries corresponding to the N vehicle operating points of the first time as independent variables of a second primary function after the vehicle runs for the first time, and taking the vehicle driving mileage values corresponding to the N vehicle operating points as the independent variables of the second primary function to perform linear fitting so as to obtain a second slope of the second primary function;
And the replacing unit is used for replacing the first slope with the second slope when the deviation between the second slope and the first slope is larger than a preset threshold value.
4. A device according to claim 3, characterized in that the device further comprises:
and the storage unit is used for storing the first slope K in a vehicle memory.
5. An electric vehicle range estimation system, comprising:
a memory for storing a computer program;
A processor, configured to implement the steps of the electric vehicle range estimation method according to any one of claims 1-2 when executing the computer program.
6. A computer readable storage medium, wherein a computer program is stored on the computer readable storage medium, and the computer program is executed to implement the steps of the electric vehicle range estimation method according to any one of claims 1-2.
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