CN111645566B - Method and device for calculating endurance mileage of electric vehicle, vehicle control unit and electric vehicle - Google Patents

Method and device for calculating endurance mileage of electric vehicle, vehicle control unit and electric vehicle Download PDF

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CN111645566B
CN111645566B CN202010018866.0A CN202010018866A CN111645566B CN 111645566 B CN111645566 B CN 111645566B CN 202010018866 A CN202010018866 A CN 202010018866A CN 111645566 B CN111645566 B CN 111645566B
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energy consumption
electric vehicle
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weighting coefficient
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CN111645566A (en
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刘博�
樊小烁
王忠收
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Modern Auto 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
    • 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
    • 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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  • Life Sciences & Earth Sciences (AREA)
  • Sustainable Development (AREA)
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  • Mechanical Engineering (AREA)
  • Electric Propulsion And Braking For Vehicles (AREA)

Abstract

The invention discloses a method and a device for calculating the endurance mileage of an electric vehicle, a vehicle control unit and the electric vehicle.

Description

Electric vehicle endurance mileage calculation method and device, vehicle control unit and electric vehicle
Technical Field
The invention relates to the field of vehicles, in particular to a method and a device for calculating the endurance mileage of an electric vehicle, a vehicle control unit and the electric vehicle.
Background
With the continuous deterioration of natural environment, in various fields, energy conservation and environmental protection are the primary consideration conditions for developing new projects, in the vehicle field, new energy automobiles are widely concerned and applied in the industry due to the characteristics of energy conservation and environmental protection, and are limited by the energy density and cost factors of power batteries of the new energy automobiles, and the comprehensive endurance mileage of the existing pure electric automobile products cannot compete with that of the traditional fuel oil automobiles. Therefore, accurate estimation Of the remaining endurance mileage Of the electric vehicle is one Of important factors for ensuring reliable and stable operation Of the electric vehicle, currently, the calculation for calculating the remaining endurance mileage Of the electric vehicle is mainly performed through the current available State Of Charge (SOC) Of a power battery reported by a battery management system and the energy consumption Of the electric vehicle under a standard test condition (NEDC), and the accuracy Of the calculated endurance mileage Of the electric vehicle is low due to the fact that the factors participating in the endurance calculation are single.
Disclosure of Invention
The invention aims to solve the problem that the calculation accuracy of the endurance mileage of the electric vehicle in the prior art is low. Therefore, the invention provides the method for calculating the endurance mileage of the electric vehicle, the device for calculating the endurance mileage of the electric vehicle, the vehicle control unit and the vehicle, which improve the calculation precision of the endurance mileage of the electric vehicle and ensure the reliable and stable operation of the electric vehicle.
In order to solve the above problem, an embodiment of the present invention discloses a method for calculating a driving range of an electric vehicle, including: determining the remaining available electric quantity of a power battery of the electric vehicle based on a preset rule;
calculating the current energy consumption of the electric vehicle in the current state, wherein the current energy consumption is formed by overlapping a first energy consumption required under the endurance standard test condition of the electric vehicle and a second energy consumption consumed by historical driving data of the electric vehicle;
and calculating the endurance mileage of the electric vehicle based on the remaining available electric quantity and the current energy consumption.
By adopting the technical scheme, when the endurance mileage of the electric vehicle is calculated, the first energy consumption of the electric vehicle under the endurance standard test working condition and the second energy consumption consumed in the historical data of the electric vehicle are considered in a multi-factor mode, and the endurance mileage of the electric vehicle is calculated by combining the remaining available electric quantity of the power battery and the current energy consumption obtained by superposing the first energy consumption and the second energy consumption.
Further, in some embodiments of the present invention, the remaining available power is obtained by correcting an initial remaining available power obtained based on detection of the power battery by a battery management system by using a temperature value and an output voltage of the power battery.
Further, in some embodiments of the invention, the calculating of the second energy consumption comprises:
selecting a preset time period before the current time by taking the current time of the electric vehicle as a reference;
dividing the preset time period to obtain a plurality of sub-preset time periods;
calculating the product of the energy consumption consumed by each sub-preset time period and the corresponding first weighting coefficient, and adding the value corresponding to each product, wherein the first weighting coefficient is determined based on the number of the preset time periods and the sub-preset time periods;
the second energy consumption includes a sum value obtained by adding values corresponding to the respective products.
Further, in some embodiments of the present invention, the first weighting factor is calculated using the following formula:
Wti＝(n+n×(n-i))％
n is the number of the sub-preset time periods, and i is more than or equal to 0 and less than or equal to n-1.
Further, in some embodiments of the present invention, the calculating of the second energy consumption further includes:
selecting a historical driving mileage data interval of the electric vehicle before the current moment by taking the current moment of the electric vehicle as a reference;
dividing the historical driving mileage data interval to obtain a plurality of sub-historical driving mileage data intervals;
calculating the product of the energy consumption consumed by each sub-historical driving mileage data interval and a corresponding second weighting coefficient, and adding the product to a value corresponding to each product, wherein the second weighting coefficient is determined based on the number of the historical driving mileage data intervals and the sub-historical driving mileage data intervals;
the second energy consumption comprises a sum value obtained by adding values corresponding to the products based on the preset time period and a sum value obtained by adding values corresponding to the products based on the historical mileage data interval.
Further, in some embodiments of the present invention, the calculating the current energy consumption of the electric vehicle includes:
and summing the first energy consumption and the second energy consumption to obtain the current energy consumption.
Further, in some embodiments of the present invention, the calculating the current energy consumption of the electric vehicle further comprises:
determining a third weighting coefficient corresponding to the first energy consumption and a fourth weighting coefficient corresponding to the second energy consumption respectively according to the driving state of the electric vehicle;
and calculating the sum of the product of the third weighting coefficient and the first energy consumption and the product of the fourth weighting coefficient and the second energy consumption to obtain the current energy consumption.
Further, in some embodiments of the present invention, the current energy consumption is calculated using the following formula:
C＝a×C0+b×Ct+c×Cs
wherein a is the third weighting coefficient, b and C are the fourth weighting coefficient, C0And Ct is second energy consumption based on the first weighting coefficient, and Cs is energy consumption based on the second weighting coefficient.
Further, in some embodiments of the present invention, the calculation method further comprises:
and correcting the current energy consumption.
Further, in some embodiments of the present invention, calculating the range of the electric vehicle based on the remaining available power and the current energy consumption comprises:
and calculating the ratio of the remaining available electric quantity to the current energy consumption to obtain the endurance mileage of the electric vehicle.
Further, an embodiment of the present invention discloses a driving range calculation apparatus for an electric vehicle, including:
the determining module is used for determining the remaining available electric quantity of the power battery of the electric vehicle based on a preset rule;
the first calculation module is used for calculating the current energy consumption of the electric vehicle in the current state, and the current energy consumption is formed by superposing first energy consumption required under the endurance standard test working condition of the electric vehicle and second energy consumption consumed in historical driving data of the electric vehicle;
and the second calculating module is used for calculating the endurance mileage of the electric vehicle based on the residual available electric quantity and the current energy consumption.
Further, an embodiment of the present invention discloses a vehicle control unit, including:
a memory for storing a computing program;
a processor, which executes the steps of the method for calculating the driving range of the electric vehicle according to any one of the above aspects when executing the calculation program.
Further, an embodiment of the present invention discloses an electric vehicle, including: power battery and battery management system still includes: the vehicle control unit as described above;
the power battery is connected with the battery management system, and the vehicle control unit is connected with the battery management system.
Additional features and corresponding advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention.
Drawings
Fig. 1 is a schematic flow chart of a method for calculating a driving range of an electric vehicle according to an embodiment of the invention;
FIG. 2 is a schematic flow chart illustrating another method for calculating the driving range of an electric vehicle according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a driving range calculating device of an electric vehicle according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a vehicle control unit disclosed in the embodiment of the present invention;
fig. 5 is a schematic structural diagram of an electric vehicle according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention is provided for illustrative purposes, and other advantages and effects of the present invention will become apparent to those skilled in the art from the present disclosure. While the invention will be described in conjunction with the preferred embodiments, it is not intended that features of the invention be limited to these embodiments. On the contrary, the invention is described in connection with the embodiments for the purpose of covering alternatives or modifications that may be extended based on the claims of the present invention. In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention. The invention may be practiced without these particulars. Moreover, some of the specific details have been left out of the description in order to avoid obscuring or obscuring the focus of the present invention. It should be noted that the embodiments and features of the embodiments may be combined with each other without conflict.
It should be noted that in this specification, like reference numerals and letters refer to like items in the following drawings, and thus, once an item is defined in one drawing, it need not be further defined and explained in subsequent drawings.
The technical solutions of the present invention will be described clearly and completely with reference to the accompanying drawings, and it should be understood that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of description and simplicity of description, but do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the description of the present invention, it should be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in a specific case to those of ordinary skill in the art.
In order to make the objects, technical solutions and advantages of the present invention more apparent, embodiments of the present invention will be described in detail with reference to the accompanying drawings.
Referring to fig. 1, fig. 1 is a schematic flowchart of a method for calculating a driving range of an electric vehicle according to an embodiment of the present invention, where the method shown in fig. 1 includes:
s10: and determining the remaining available electric quantity of the power battery of the electric vehicle based on a preset rule.
Specifically, in some embodiments of the present invention, for step S10, the preset rule for determining the remaining available power of the power battery of the electric vehicle may be obtained by modifying the initial remaining available power based on the detection of the power battery by the battery management system through the temperature value of the power battery, the state of health of the power battery, the total voltage of the power battery, and the like, and in addition, in order to further ensure the accuracy of the remaining available power of the power battery, the initial remaining available power may be modified in combination with the output current of the power battery.
Specifically, the calculation of the remaining available energy of the power battery is divided into two steps: firstly, the data (including the real SOC of the power battery, the SOH of the power battery, the rated capacity C of the power battery and the total voltage U of the power battery) sent by the BMS are utilized to carry out initial remaining available electric quantity E0The calculation of (c):
E0＝SoC×SoH×C×U
and then correcting the initial remaining available energy, wherein the specific implementation mode is to establish a database model of the available energy of the power battery, the ambient temperature T and the discharge current I, data used in the model is obtained by accumulating experimental data, and specific data acquisition and calculation of correction parameters are not specifically described in the embodiment of the invention, which can be seen in the prior art.
S11: and under the current state, calculating the current energy consumption of the electric vehicle, wherein the current energy consumption is formed by superposing a first energy consumption required under the endurance standard test working condition of the electric vehicle and a second energy consumption consumed in the historical driving data of the electric vehicle.
Specifically, in some embodiments of the present invention, for step S11, the current energy consumption of the electric vehicle is composed of two parts, the first part is a first energy consumption required under a cruising standard test condition (NEDC), and the second part is a second energy consumption consumed in the historical driving data of the electric vehicle.
In some embodiments of the present invention, the first energy consumption may be obtained by simulation and real-time test of the vehicle based on the NEDC condition.
In some embodiments of the invention, the first energy consumption is calculated specifically as follows:
the method comprises the following steps of calculating first energy consumption through vehicle simulation test, specifically testing the dynamic property and the economical efficiency of the whole vehicle by building a whole vehicle model and working condition design, specifically using AVL CRUSE software or other similar software, wherein required whole vehicle parameters comprise: vehicle parameters (service mass, wheel base, load, centroid position, windward area, wind resistance coefficient, rolling resistance coefficient, etc.), tire parameters (rolling radius, tire mass, rotational inertia, etc.), brake system parameters (brake disc area, brake pressure, friction coefficient, brake efficiency, etc.), motor parameters (power, voltage, rotating speed, torque, efficiency map, etc.), battery parameters (voltage, capacity, combination, internal resistance, charge-discharge efficiency map), transmission system parameters (transmission ratio, transmission efficiency, etc.), vehicle modeling is a relatively complicated system engineering, and the required vehicle and power economy related part parameters are very many, and the above only lists some, but not limited to the above mentioned parameters, according to the actual situation, more related parameters can be adopted for simulation test, so that the accuracy and the reliability of data are improved.
In some embodiments of the present invention, for the second energy consumption, the second energy consumption may be obtained by taking a current time of the electric vehicle as a reference, selecting 5 minutes before the current time as a preset time period, dividing the 5 minutes into 5 sub-preset time periods of 1 minute, timely multiplying the energy consumption consumed by each sub-preset time period of 1 minute by a corresponding first weighting coefficient, and finally superimposing the product values of the first weighting coefficients consumed by the sub-preset time periods of 5 minutes and the energy consumption consumed by each sub-preset time period.
For the first weighting coefficient, it may be determined based on a preset time period of 5 minutes and the number of sub-preset time periods of 1 minute.
For example, C for a second energy consumption of 5 minutestExpressed, the calculation formula is as follows:
Ct＝Wt0×Ct0+Wt1×Ct1+Wt2×Ct2+Wt3×Ct3+Wt4×Ct4
wherein, Wt0To Wt4Respectively, a first weighting factor, C, for each of the 1 minute sub-preset time periodst0To Ct4Energy consumption for each of the 1 minute sub-preset time periods is separately indicated.
Wherein, for the first weighting coefficient, the following formula can be adopted to calculate:
Wti＝(n+n×(n-i))％
wherein n is the number of the sub-preset time periods, the value of i can be selected from 0 to 4, and n can be selected from 5.
For each sub-preset period, the sum of the first weighting coefficients for each sub-preset period is equal to 1. Taking the number of the sub-preset time periods as 5 for example, the following details are provided:
Wt0+Wt1+Wt2+Wt3+Wt4＝1
further, in some embodiments of the present invention, in order to further improve the accuracy of the calculated range of the electric vehicle, the calculating of the second energy consumption further includes, based on the second energy consumption calculated based on the first weighting factor above:
and selecting data within 5km of the electric vehicle before the current time by taking the current time of the electric vehicle as a reference, wherein the 5km can be used as a historical driving mileage data interval.
The historical traveled-distance data section is then divided into 5 sub-historical traveled-distance data sections of 1km as a plurality of sub-historical traveled-distance data sections.
And then, products of the energy consumption consumed by every 1km of the sub-historical trip mileage data intervals and the corresponding second weighting coefficients are calculated, and the products are added, wherein the second weighting coefficients are determined based on 5km of the historical trip mileage data intervals and 5 of the 1 sub-historical trip mileage data intervals.
The second energy consumption includes a sum value obtained based on a preset time period of 5 minutes plus a value corresponding to each product and a sum value obtained based on a sum value of historical mileage intervals plus a value corresponding to each product.
The energy consumption of the electric vehicle of 5km calculated based on the second weighting coefficient may be calculated using the following equation:
Cs＝Ws0×Cs0+Ws1×Cs1+Ws2×Cs2+Ws3×Cs3+Ws4×Cs4
wherein, Ws0To Ws4Respectively representing a second weighting coefficient, C, for each 1km sub-historical range data intervals0To Cs4Energy consumption per 1km sub-history mileage data interval is shown separately.
Wherein, for the second weighting coefficient, the following formula can be adopted to calculate:
Wsi＝(n+n×(n-i))％
n is the number of the sub-historical mileage data intervals, the value of i can be selected from 0 to 4, and n can be selected as 5.
For each of the sub-historical mileage-traveled data intervals, the sum of the second weighting coefficients for each of the sub-historical mileage-traveled data intervals is equal to 1. Taking the number of the sub-historical driving mileage data intervals as 5 for example, the following is specific:
Ws0+Ws1+Ws2+Ws3+Ws4＝1
in some embodiments of the present invention, for the current energy consumption of the electric vehicle, the first energy consumption and the second energy consumption may be directly summed to obtain the current energy consumption.
Further, in some embodiments of the present invention, in order to avoid that the driving state of the electric vehicle affects the accuracy of the current energy consumption, so as to improve the calculation accuracy of the current energy consumption, calculating the current energy consumption further includes:
respectively determining a third weighting coefficient corresponding to the first energy consumption and a fourth weighting coefficient corresponding to the second energy consumption according to the running state of the electric vehicle;
calculating the sum of the product of the third weighting coefficient and the first energy consumption and the product of the fourth weighting coefficient and the second energy consumption to obtain the current energy consumption C, specifically adopting the following formula:
C＝a×C0+b×Ct+c×Cs
where a is a third weighting factor, b and C are fourth weighting factors, C0The first energy consumption is a first energy consumption, Ct and Cs are second energy consumption which are related to the driving state of the vehicle, the first energy consumption is an initial set value and can be considered as default data, the second energy consumption is obtained through the driving record of the vehicle and is related to the driving habit of a driver and the driving road condition of the vehicle, therefore, when the vehicle is off-line, the driving record is not available, the vehicle only can rely on the first energy consumption for calculating the remaining mileage, and a is 1. When the vehicle leaves the factory and has the driving record, the second energy consumption can be calculated, at the moment, the calculation ratio of the first energy consumption can be reduced, and the calculation ratio of the second energy consumption is increased.
For example:
when the electric vehicle is powered on for the first time, a is 1, b is 0 and c is 0;
as the running time and the mileage of the electric vehicle increase, a gradually decreases to 0.3, and the values of b and c respectively gradually increase to 0.35;
that is, the cumulative time T for which the vehicle speed is greater than zerointIn, b increases from 0 to 0.35, TintThe value can be any value, for example, any value within 80-120 hours is selected.
Accumulated mileage S with vehicle speed greater than zerointIn, c is increased from 0 to 0.35, SintThe value can be any value, for example, any value within 80-120 kilometers;
the amount of decrease of a in the corresponding coefficient adjustment process is equal to the sum of the amount of increase of b and the amount of increase of c, such as: the decrease amount of a (0.7) is equal to the increase amount of b (0.35) + the increase amount of c (0.35).
The third weighting coefficient a, the fourth weighting coefficient b, and the fourth weighting coefficient c may also adopt other numerical values, and the accumulated time and the accumulated mileage may also adopt other numerical values, which is not limited herein in the embodiments of the present invention. That is, a is in an inverse relationship with the driving range of the electric vehicle, and b and c are in a direct relationship with the driving range of the electric vehicle, wherein the values of a, b and c can be determined according to the model and actual conditions of the electric vehicle, and the embodiment of the invention is not limited herein.
In some embodiments of the present invention, in order to further improve the accuracy of the current energy consumption, as shown in fig. 2, before performing S12, the method for calculating the endurance mileage further includes:
s20: and correcting the current energy consumption.
In some embodiments of the invention, the method for correcting the current energy consumption may be as follows: and introducing driving state quantities of the electric vehicle at the current moment to correct the current energy consumption calculated in the step S11, wherein the driving state quantities comprise a vehicle speed V, a longitudinal acceleration ax, a lateral acceleration ay, a vehicle load L, a vehicle driving pitch angle alpha, a yaw angle beta, a roll angle gamma and the like, a correction factor eta is obtained through a fuzzy control algorithm, and the range of the correction factor can be-0.1.
Wherein, the calculation of the correction factor eta is specifically as follows:
firstly, the driving state quantity is fuzzified, the specific numerical value of the driving state quantity is converted into five membership degrees of changed value according to a proper proportion interval, such as large membership degree, medium membership degree, small membership degree, and parameters can also be converted into 3 membership degrees, 7 membership degrees or even 9 membership degrees according to the characteristics of different parameters.
Secondly, establishing a fuzzy rule according to expert experience data, and converting the influence relation between the influence variable and the input variable into a logic strategy which can be recognized by a control system;
then carrying out reasoning and judgment to obtain fuzzy control quantity;
and finally, converting the control quantity into required output to obtain a correction factor eta.
It should be noted that the prior art can also be referred to for the principle of the fuzzy algorithm, and the embodiment of the present invention does not improve the fuzzy algorithm itself.
Corrected current energy consumption CfixThe following can be used for calculation:
Cfix＝C×(1+η)
s12: and calculating the endurance mileage of the electric vehicle based on the residual available electric quantity and the current energy consumption.
In some embodiments of the present invention, the mileage S can be obtained by calculating a ratio of the remaining available power to the current energy consumption after the correction, and specifically adopting the following formula:
Figure GDA0003494983370000101
e is the remaining available power, CfixIs the corrected current energy consumption.
Referring to fig. 3, fig. 3 is a schematic structural diagram of a driving range calculating device of an electric vehicle according to an embodiment of the present invention, where the calculating device shown in fig. 3 includes:
the determining module 30 is used for determining the remaining available electric quantity of the power battery of the electric vehicle based on a preset rule;
the first calculating module 31 is configured to calculate current energy consumption of the electric vehicle in a current state, where the current energy consumption is formed by overlapping a first energy consumption required under a endurance standard test condition of the electric vehicle and a second energy consumption consumed in historical driving data of the electric vehicle;
and the second calculating module 32 is used for calculating the driving mileage of the electric vehicle based on the remaining available electric quantity and the current energy consumption.
The computing apparatus shown in fig. 3 corresponds to the computing method shown in fig. 1, and like parts may be referred to each other, and are not described herein again in the embodiments of the present invention.
Referring to fig. 4, fig. 4 is a schematic structural diagram of a vehicle control unit disclosed in the embodiment of the present invention, and the vehicle control unit 4 shown in fig. 4 includes:
a memory 40 for storing a calculation program;
and a processor 41, wherein the processor 41 executes the steps of the driving range calculation method of the electric vehicle as mentioned in fig. 1 and fig. 2 when executing the calculation program.
Referring to fig. 5, fig. 5 is a schematic structural diagram of an electric vehicle according to an embodiment of the present invention, and the electric vehicle shown in fig. 5 includes:
the power battery 50 and the battery management system 51 further include the vehicle control unit 4 shown in fig. 4, the power battery 50 is connected with the battery management system 51, and the vehicle control unit 4 is connected with the battery management system 51.
The embodiment of the invention discloses a method and a device for calculating the endurance mileage of an electric vehicle, a vehicle control unit and the electric vehicle, which have the following beneficial effects:
when the endurance mileage of the electric vehicle is calculated, the first energy consumption of the electric vehicle under the endurance standard test working condition and the second energy consumption consumed in the historical data of the electric vehicle are considered in a multi-factor mode, and the endurance mileage of the electric vehicle is calculated by combining the remaining available electric quantity of the power battery and the current energy consumption obtained by superposing the first energy consumption and the second energy consumption.
It should be understood that, for the embodiments of the present invention, the specific values mentioned are only examples, and do not represent values that can be only exemplified by the embodiments of the present invention.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.

Claims (10)

1. A driving range calculation method of an electric vehicle, characterized by comprising, while the electric vehicle is in a running state:
determining the remaining available electric quantity of a power battery of the electric vehicle based on a preset rule;
calculating the current energy consumption of the electric vehicle in the current state, wherein the current energy consumption is formed by overlapping a first energy consumption required under the endurance standard test condition of the electric vehicle and a second energy consumption consumed in historical driving data of the electric vehicle;
the calculating of the second energy consumption comprises:
selecting a preset time period before the current time by taking the current time of the electric vehicle as a reference;
dividing the preset time period to obtain a plurality of sub-preset time periods;
calculating the product of the energy consumption consumed by each sub-preset time period and the corresponding first weighting coefficient, and adding the value corresponding to each product, wherein the first weighting coefficient is determined based on the number of the preset time periods and the sub-preset time periods;
selecting a historical driving mileage data interval of the electric vehicle before the current moment by taking the current moment of the electric vehicle as a reference;
dividing the historical driving mileage data interval to obtain a plurality of sub-historical driving mileage data intervals;
calculating the product of the energy consumption consumed by each sub-historical driving mileage data interval and a corresponding second weighting coefficient, and adding the product to a value corresponding to each product, wherein the second weighting coefficient is determined based on the number of the historical driving mileage data intervals and the sub-historical driving mileage data intervals;
the second energy consumption comprises a sum value obtained by adding values corresponding to the products based on the preset time period and a sum value obtained by adding values corresponding to the products based on the historical mileage data interval;
correcting the current energy consumption to obtain corrected current energy consumption CfixCalculated using the formula:
Cfix＝C×(1+η)
wherein C is the current energy consumption; cfixThe corrected current energy consumption is obtained; eta is a correction factor, and the value range of the correction factor eta is-0.1～0.1；
Acquiring the running state quantity of the electric vehicle at the current moment, and determining a correction factor eta according to a running state quantity fuzzy control algorithm; wherein the driving state quantity comprises a vehicle speed V and a longitudinal acceleration axLateral acceleration ayThe vehicle load L, the pitch angle alpha, the yaw angle beta and the roll angle gamma of the running vehicle;
and calculating the driving mileage of the electric vehicle based on the residual available electric quantity and the corrected current energy consumption.
2. The method of claim 1, wherein the remaining available power is obtained by correcting an initial remaining available power based on detection of the power battery by a battery management system by the temperature value and the output voltage of the power battery.
3. The method of calculating a driving range of an electric vehicle according to claim 1, wherein the first weighting factor is calculated using the following equation:
Wti＝(n+n×(n-i))％
n is the number of the sub-preset time periods, and i is more than or equal to 0 and less than or equal to n-1.
4. The method of calculating the driving range of the electric vehicle according to any one of claims 1 to 3, wherein the calculating the current energy consumption of the electric vehicle comprises:
and summing the first energy consumption and the second energy consumption to obtain the current energy consumption.
5. The method of calculating a range of an electric vehicle of claim 4, wherein the calculating the current energy consumption of the electric vehicle further comprises:
determining a third weighting coefficient corresponding to the first energy consumption and a fourth weighting coefficient corresponding to the second energy consumption respectively according to the driving state of the electric vehicle;
and calculating the sum of the product of the third weighting coefficient and the first energy consumption and the product of the fourth weighting coefficient and the second energy consumption to obtain the current energy consumption.
6. The method of claim 5, wherein the current energy consumption is calculated using the following formula:
C＝a×C0+b×Ct+c×Cs
wherein a is the third weighting coefficient, b and C are the fourth weighting coefficient, C0And Ct is second energy consumption based on the first weighting coefficient, and Cs is energy consumption based on the second weighting coefficient.
7. The method of any one of claims 1-3, wherein calculating the range of the electric vehicle based on the remaining available power and the modified current energy consumption comprises:
and calculating the ratio of the remaining available electric quantity to the corrected current energy consumption to obtain the endurance mileage of the electric vehicle.
8. A driving range calculation device for an electric vehicle, comprising:
the determining module is used for determining the remaining available electric quantity of the power battery of the electric vehicle based on a preset rule;
the first calculation module is used for calculating the current energy consumption of the electric vehicle in the current state, and the current energy consumption is formed by superposing first energy consumption required under the endurance standard test working condition of the electric vehicle and second energy consumption consumed in historical driving data of the electric vehicle;
the calculating of the second energy consumption comprises:
selecting a preset time period before the current time by taking the current time of the electric vehicle as a reference;
dividing the preset time period to obtain a plurality of sub-preset time periods;
calculating the product of the energy consumption consumed by each sub-preset time period and the corresponding first weighting coefficient, and adding the value corresponding to each product, wherein the first weighting coefficient is determined based on the number of the preset time periods and the sub-preset time periods;
selecting a historical driving mileage data interval of the electric vehicle before the current moment by taking the current moment of the electric vehicle as a reference;
dividing the historical driving mileage data interval to obtain a plurality of sub-historical driving mileage data intervals;
calculating the product of the energy consumption consumed by each sub-historical driving mileage data interval and a corresponding second weighting coefficient, and adding the product to a value corresponding to each product, wherein the second weighting coefficient is determined based on the number of the historical driving mileage data intervals and the sub-historical driving mileage data intervals;
the second energy consumption comprises a sum value obtained by adding values corresponding to the products based on the preset time period and a sum value obtained by adding values corresponding to the products based on the historical mileage data interval;
correcting the current energy consumption to obtain corrected current energy consumption CfixCalculated using the formula:
Cfix＝C×(1+η)
wherein C is the current energy consumption; cfixThe corrected current energy consumption is obtained; eta is a correction factor, and the value range of the correction factor eta is-0.1;
acquiring the running state quantity of the electric vehicle at the current moment, and determining a correction factor eta according to a running state quantity fuzzy control algorithm; wherein the driving state quantity comprises a vehicle speed V and a longitudinal acceleration axLateral acceleration ayThe vehicle load L, the pitch angle alpha, the yaw angle beta and the roll angle gamma of the running vehicle;
and the second calculation module is used for calculating the endurance mileage of the electric vehicle based on the residual available electric quantity and the corrected current energy consumption.
9. A vehicle control unit, comprising:
a memory for storing a computing program;
a processor which, when executing the calculation program, performs the steps of the method of calculating a range of an electric vehicle according to any one of claims 1 to 7.
10. An electric vehicle comprising: power battery and battery management system, its characterized in that still includes: the vehicle control unit of claim 9;
the power battery is connected with the battery management system, and the vehicle control unit is connected with the battery management system.
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