CN109532556B - Method and system for acquiring endurance mileage of pure electric vehicle - Google Patents

Method and system for acquiring endurance mileage of pure electric vehicle Download PDF

Info

Publication number
CN109532556B
CN109532556B CN201811223314.2A CN201811223314A CN109532556B CN 109532556 B CN109532556 B CN 109532556B CN 201811223314 A CN201811223314 A CN 201811223314A CN 109532556 B CN109532556 B CN 109532556B
Authority
CN
China
Prior art keywords
pure electric
electric vehicle
per kilometer
current
energy consumption
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201811223314.2A
Other languages
Chinese (zh)
Other versions
CN109532556A (en
Inventor
周立岩
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Beijing Jingwei Hirain Tech Co Ltd
Original Assignee
Beijing Jingwei Hirain Tech Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Beijing Jingwei Hirain Tech Co Ltd filed Critical Beijing Jingwei Hirain Tech Co Ltd
Priority to CN201811223314.2A priority Critical patent/CN109532556B/en
Publication of CN109532556A publication Critical patent/CN109532556A/en
Application granted granted Critical
Publication of CN109532556B publication Critical patent/CN109532556B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • 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
    • B60L2240/10—Vehicle control parameters
    • B60L2240/12—Speed
    • 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

Landscapes

  • Electric Propulsion And Braking For Vehicles (AREA)

Abstract

The invention discloses a method and a system for acquiring the endurance mileage of a pure electric vehicle, wherein the method comprises the following steps: acquiring the instant speed and the running current of the pure electric vehicle and the consumed current of a target component; acquiring the current residual energy of the battery based on the battery state of the pure electric vehicle; calculating the average energy consumption per kilometer and the average time consumption per kilometer of the pure electric vehicle at the current moment; obtaining the average energy consumption per kilometer of the target component by utilizing the average time per kilometer and the consumed current of the target component; summing the average energy consumption per kilometer of the components and the average energy consumption per kilometer of the travelling vehicles to obtain the average total energy consumption per kilometer; and obtaining the endurance mileage of the pure electric vehicle based on the current residual energy and the average total energy consumption per kilometer of the battery. Therefore, the driving condition of the pure electric vehicle and the energy consumption of components such as an air conditioner are taken into consideration in the calculation of the endurance mileage, so that the accuracy of the endurance mileage is improved.

Description

Method and system for acquiring endurance mileage of pure electric vehicle
Technical Field
The invention relates to the technical field of new energy, in particular to a method and a system for acquiring the endurance mileage of a pure electric vehicle.
Background
With the progress of society and the development of science and technology, the development of new energy technology is mature day by day, and the most prominent is the rapid development of electric technology, and then the calculation of pure electric vehicles and the endurance mileage thereof also becomes the focus of attention in the industry. However, the endurance mileage of the electric vehicle is affected by the driving condition, the driving style of the driver, unexpected power consumption of accessories such as an air conditioner and the like, and the fluctuation of the electric energy consumption of the vehicle is large, so that the accuracy of the calculated endurance mileage is low, and the use experience of a user is affected.
Disclosure of Invention
In view of this, the present invention provides a method, an apparatus, and a system for acquiring a cruising range of a pure electric vehicle, so as to solve the technical problem of low accuracy of calculating the cruising range in the prior art.
The application provides a method for acquiring the endurance mileage of a pure electric vehicle, which comprises the following steps:
in the running process of the pure electric vehicle, acquiring the instant speed of the pure electric vehicle, the running current of the pure electric vehicle and the consumption current of a target component in the pure electric vehicle;
acquiring the current residual energy of the battery based on the battery state of the pure electric vehicle;
calculating the average energy consumption per kilometer and the average time consumption per kilometer of the pure electric vehicle at the current moment based on at least the instant vehicle speed and the driving current;
obtaining the average energy consumption per kilometer of the target component by utilizing the average time per kilometer and the consumed current of the target component;
summing the average energy consumption per kilometer of the components and the average energy consumption per kilometer of the travelling crane to obtain average total energy consumption per kilometer;
and obtaining the endurance mileage of the pure electric vehicle based on the current residual energy of the battery and the average total energy consumption per kilometer.
Preferably, the method for calculating average energy consumption per kilometer of the pure electric vehicle at the current moment based on at least the instant vehicle speed and the driving current includes:
judging the sequence of the preset time period recorded from the start of running of the pure electric vehicle at the current moment;
if the current moment is in a first preset time period of the pure electric vehicle running, taking the average energy consumption per kilometer of the pure electric vehicle when the pure electric vehicle is powered off last time as the average energy consumption per kilometer of the pure electric vehicle when the pure electric vehicle runs at the current moment;
if the current moment is in a second preset time period of the pure electric vehicle, generating average energy consumption per kilometer of the pure electric vehicle at the current moment based on the running current and the instant speed in the first preset time period;
if the current moment is in the Nth preset time period that the pure electric vehicle runs, N is a positive integer greater than or equal to 3, based on the running current and the instant speed in the previous preset time period, the energy consumption per kilometer of the initial running of the pure electric vehicle at the current moment is generated, and based on the previous preset time period, the energy consumption per kilometer of the average running of the pure electric vehicle at the current moment is right, the energy consumption per kilometer of the initial running is learned, and the energy consumption per kilometer of the final running of the pure electric vehicle at the current moment is obtained.
Preferably, the learning of the initial average energy consumption per kilometer of the pure electric vehicle based on the average energy consumption per kilometer of the pure electric vehicle in the previous preset time period to obtain the final average energy consumption per kilometer of the pure electric vehicle at the current time includes:
by using Ereal＝(1-x)Ek-1+xEkAnd obtaining the final average driving energy consumption per kilometer of the pure electric automobile at the current moment, wherein EkThe average energy consumption per kilometer of the pure electric vehicle at the initial running time at the current moment Ek-1Average energy consumption per kilometer of the pure electric vehicle in the previous preset time period, ErealAnd x is a preset weight proportion value, and k +1 is the sequence of a preset time period of the current moment, wherein the energy consumption per kilometer of the final driving of the pure electric vehicle at the current moment is obtained.
Preferably, the method for generating the average energy consumption per kilometer of the pure electric vehicle at the current moment based on the driving current and the instant speed in the first preset time period includes:
performing integral calculation on the running current in the first preset time period to obtain the running energy consumption of the pure electric vehicle in the first preset time period;
performing integral calculation on the instant speed of the first preset time period within the first preset time period to obtain the running distance of the pure electric vehicle within the first preset time period;
and obtaining the average driving energy consumption per kilometer of the pure electric vehicle at the current moment based on the driving energy consumption and the driving distance in the first preset time period.
The method preferably includes the following steps of calculating an average usage time per kilometer of the pure electric vehicle at the current time:
judging the sequence of the preset time period recorded from the start of running of the pure electric vehicle at the current moment;
if the current time is in a first preset time period of the pure electric vehicle running, taking the average time per kilometer of the pure electric vehicle during last power-off as the average time per kilometer of the pure electric vehicle at the current time;
if the current time is in a second preset time period of the pure electric vehicle, generating the average time per kilometer of the pure electric vehicle at the current time based on the instant speed in the first preset time period;
if the current time is in the Nth preset time period of pure electric vehicles running, N is a positive integer greater than or equal to 3, based on the instant vehicle speed in the previous preset time period, the initial average time per kilometer of the pure electric vehicles at the current time is generated, and based on the previous preset time period, the average time per kilometer of the pure electric vehicles is learned to obtain the final average time per kilometer of the pure electric vehicles at the current time.
Preferably, the learning of the initial average time per kilometer is performed based on the average time per kilometer of the pure electric vehicle in the previous preset time period, and the obtaining of the final average time per kilometer of the pure electric vehicle at the current time includes:
by Treal＝(1-x)Tk-1+xTkAnd obtaining the final average time per kilometer of the pure electric vehicle at the current moment, wherein TkThe initial average time per kilometer of the pure electric vehicle at the current moment is Tk-1The average time per kilometer of the pure electric vehicle in the previous preset time period is TrealAnd x is a preset weight proportion value when the pure electric vehicle is used at the final average time per kilometer at the current moment, and k is the sequence of a preset time period at the current moment.
Preferably, the method for generating the average time per kilometer of the pure electric vehicle at the current time based on the instant vehicle speed in the first preset time period includes:
performing integral calculation on the instant speed of the first preset time period within the first preset time period to obtain the running distance of the pure electric vehicle within the first preset time period;
and taking the ratio of the preset time period to the driving distance to obtain the average time per kilometer of the pure electric vehicle at the current moment.
The above method, preferably, acquiring the current remaining energy of the battery includes:
acquiring current operation parameters of the battery, wherein the current operation parameters at least comprise a battery real-time state of charge (SOC) parameter and a battery state of health (SOH) parameter;
by using Erest＝Etotal× SOC × SOH, obtaining the current remaining energy of the battery, wherein EtotalIs the total energy of the cell, ErestIs the current remaining energy of the battery.
The above method, preferably, further comprises:
if the current moment is in a first preset time period of the pure electric vehicle, acquiring the initial endurance mileage of the pure electric vehicle when the pure electric vehicle is powered off last time;
and if the currently acquired endurance mileage is smaller than a preset first threshold or the difference value between the currently acquired endurance mileage and the initial endurance mileage is larger than a preset second threshold, determining the currently acquired endurance mileage as a target endurance mileage, otherwise, determining the initial endurance mileage as the target endurance mileage.
The application also provides a system for acquiring the endurance mileage of the pure electric vehicle, which comprises:
the speed sensor is used for monitoring the instant speed of the pure electric vehicle in the running process;
the current sensor is used for monitoring the running current of the pure electric vehicle in the running process and the consumption current of a target component in the pure electric vehicle;
the battery sensor is used for monitoring the battery state in the pure electric vehicle;
the processor is used for acquiring the current residual energy of the battery based on the battery state, and calculating the average energy consumption per kilometer and the average time per kilometer of the pure electric vehicle at the current moment based on at least the instant vehicle speed and the driving current; obtaining the average energy consumption per kilometer of the target component by utilizing the average time per kilometer and the consumed current of the target component, and summing the average energy consumption per kilometer of the component and the average energy consumption per kilometer of the travelling crane to obtain the average total energy consumption per kilometer; and obtaining the endurance mileage of the pure electric vehicle based on the current residual energy of the battery and the average total energy consumption per kilometer.
According to the scheme, the method, the device and the system for acquiring the cruising mileage of the pure electric vehicle provided by the invention are characterized in that real-time parameters of the pure electric vehicle in the driving process, such as the instant vehicle speed, the driving current, the consumed current of target components such as an air conditioner and the like, are acquired, the energy consumption of the pure electric vehicle per kilometer in driving and the average energy consumption of the components of the target components are calculated based on the parameters, and the accurate average total energy consumption per kilometer is further obtained, so that the cruising mileage of the pure electric vehicle can be obtained by calculating the average total energy consumption per kilometer by using the current residual energy of a battery. Therefore, the situation that the accuracy of the endurance mileage is low due to large fluctuation of electric energy consumption of the vehicle is avoided, the running condition of the pure electric vehicle and the energy consumption of components such as an air conditioner are taken into account in the calculation of the endurance mileage, so that the accuracy of the endurance mileage is improved, more accurate endurance mileage is provided for a user to change a driving plan, and the like, and the use experience of the user is obviously improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
Fig. 1 is a flowchart of a method for acquiring a cruising range of a pure electric vehicle according to an embodiment of the present application;
FIG. 2 is an illustration of an embodiment of the present application;
fig. 3 is a partial flowchart of a method for acquiring a cruising range of a pure electric vehicle according to an embodiment of the present application;
FIG. 4 is another illustration of an embodiment of the present application;
fig. 5 and fig. 6 are respectively another partial flow charts of a method for acquiring a driving range of a pure electric vehicle according to a first embodiment of the present application;
fig. 7 is a schematic structural diagram of a device for acquiring a cruising range of a pure electric vehicle according to a second embodiment of the present application;
fig. 8 is a schematic structural diagram of a system for acquiring a cruising range of a pure electric vehicle according to a third embodiment of the present application;
fig. 9 and 10 are other exemplary diagrams of the present application, respectively.
Detailed Description
In the conventional calculation of the cruising range of the pure electric vehicle, the remaining cruising range is linearly calculated by using the real-time state of charge (SOC) value of the battery and the total range corresponding to the total energy of the battery, and the driving style of a driver, the road condition change and other factors such as energy consumption of parts are not taken into consideration, so that the cruising range calculated by using the method is inconsistent with the actual value and has poor accuracy. In other electric vehicles, only rough estimation is performed according to historical energy consumption, and the calculated endurance mileage may jump due to sudden change of working conditions, so that accurate prediction cannot be made according to actual conditions.
Therefore, in order to accurately estimate the remaining driving range of the whole vehicle and take the energy consumption of components such as an air conditioner and the like into consideration, a self-learning method based on historical driving characteristics (including historical energy consumption per kilometer and driving time per kilometer) is further adopted to estimate the driving range, and meanwhile, the driving range which changes more accurately and stably can be obtained through filtering processing of the display of the driving range, so that the driving experience and the use experience of drivers are greatly improved.
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. 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.
Referring to fig. 1, an implementation flowchart of a method for obtaining a cruising range of a pure electric vehicle according to an embodiment of the present invention is applicable to a pure electric vehicle powered by a battery, and the pure electric vehicle may be divided into the following three operating states according to whether the pure electric vehicle is driven and charged: a vehicle stationary non-charging state, a vehicle stationary charging state, and a vehicle driving state. In the former two states, the electric energy and the charging electric energy can be directly used by components such as an air conditioner and the like in the embodiment to perform addition and subtraction calculation of the endurance mileage.
It should be noted that the battery in the pure electric vehicle may be implemented as a storage battery, such as a lead-acid battery, a nickel-metal hydride battery, a sodium-sulfur battery, a secondary lithium battery, an air battery, and the like.
Specifically, the method in this embodiment may include the following steps:
step 101: in the running process of the pure electric vehicle, the instant speed of the pure electric vehicle, the running current of the pure electric vehicle and the consumption current of a target component in the pure electric vehicle are obtained.
The real-time speed is the real-time speed of the pure electric vehicle in the running process, and the real-time speed may be changed at any time or may be unchanged all the time.
It should be noted that the driving current of the pure electric vehicle refers to the current output by the battery of the pure electric vehicle to the components such as the wheels and the like to enable the vehicle to normally run, and the target component may be a power consuming component on the pure electric vehicle, such as an air conditioner or an audio player, and the power consuming current of the target component refers to the current output by the battery of the pure electric vehicle to the target component to enable the target component to operate, as shown in fig. 2.
In this embodiment, the data may be read from various control devices in the pure electric vehicle, such as a sensor, for example, the data monitored by a speed sensor in the pure electric vehicle is read to obtain an instant speed, and the current sensor is used to obtain the instant speedThe driving current I for driving in a corresponding time period or distance can be obtained according to the voltage, the current, the actual power of the air conditioner and the like of the battery pack obtained by the information obtaining module or the driving current I for driving in the corresponding time period or distance read by the pure electric vehicle and the consumed current of the target componentdriveConsumption current I for operation of target componentacm。
Step 102: and acquiring the current residual energy of the battery based on the battery state of the pure electric vehicle.
In the embodiment, the real-time SOC of the battery can be read by a sensor in the battery, and the total energy of the battery is further multiplied by the SOC to obtain the current remaining energy of the battery.
Step 103: and calculating the average energy consumption per kilometer and the average time consumption per kilometer of the pure electric vehicle in the driving at the current moment at least based on the instant vehicle speed and the driving current.
The average energy consumption per kilometer of the pure electric vehicle at the current moment is as follows: the average energy consumption of the pure electric vehicle in the driving process is the average time length of the pure electric vehicle in each kilometer.
Step 104: and acquiring the average energy consumption per kilometer of the target component by using the average time per kilometer and the consumed current of the target component.
Wherein, the average energy consumption per kilometer of the components can be understood as: in addition to energy consumption consumed by running of the pure electric vehicle, other target components such as an air conditioner consume average energy consumption per kilometer of running of the pure electric vehicle. Specifically, in this embodiment, the average time per kilometer is multiplied by the consumed current to obtain the average energy per kilometer of the target component, for example, using Treal×IacmCalculating the average energy consumption per kilometer of the components, wherein TrealIs average time per kilometer, IacmThe average energy consumption per kilometer of the target component can be obtained by multiplying the consumed current of the target component by the consumed current of the target component.
Step 105: and summing the average energy consumption per kilometer of the components and the average energy consumption per kilometer of the travelling vehicles to obtain the average total energy consumption per kilometer.
For example, using the following equation (1), the average total energy consumption per kilometer is calculated:
Eall＝Ereal+Treal×Iacmformula (1)
Wherein E isrealFor average energy consumption per kilometer of the vehicle, Treal×IacmThe average energy consumption per kilometer of the component is added to obtain EallI.e. the average total energy consumption per kilometre.
Step 106: and obtaining the endurance mileage of the pure electric vehicle based on the current residual energy and the average total energy consumption per kilometer of the battery.
In this embodiment, the current remaining energy may be divided by the average total energy consumption per kilometer, that is, the endurance mileage is calculated by using the following formula (2):
RemainMile＝Erest/Eallformula (2)
Wherein E isrestIs the current remaining energy of the battery, EallThe average total energy consumption per kilometer is obtained, and therefore, the quotient Remainmine, which is obtained by dividing the two is the cruising range of the pure electric vehicle.
According to the scheme, the method for obtaining the cruising range of the pure electric vehicle provided by the embodiment of the invention obtains real-time parameters of the pure electric vehicle in the driving process, such as the instant vehicle speed, the driving current, the consumed current of target components such as an air conditioner and the like, and further calculates the energy consumption of the pure electric vehicle per kilometer in driving and the average energy consumption of the components of the target components based on the parameters to obtain the accurate average total energy consumption per kilometer, so that the average total energy consumption per kilometer is calculated by using the current residual energy of the battery, and the cruising range of the pure electric vehicle can be obtained. Therefore, the situation that the endurance mileage accuracy is low due to large fluctuation of vehicle electric energy consumption is avoided in the embodiment, the running condition of the pure electric vehicle and the energy consumption of components such as an air conditioner are taken into consideration in the calculation of the endurance mileage, so that the accuracy of the endurance mileage is improved, more accurate endurance mileage is provided for a user to change a driving plan, and the like, and the use experience of the user is obviously improved.
Further, the influence of the driving characteristics is relatively large in the third state of the pure electric vehicle, so in this embodiment, the driving range of the vehicle is further calculated based on the historical driving characteristics self-learning, specifically, in the driving range calculation scheme shown in fig. 1, a specific implementation of calculating the average driving energy per kilometer of the pure electric vehicle at the current time in step 103 is further improved, and specifically, the calculation may be implemented in the following manner, as shown in fig. 3:
step 301: judging the sequence of the preset time periods recorded when the pure electric vehicle starts to run at the current moment, executing step 302 if the current moment is in the first preset time period when the pure electric vehicle runs, executing step 303 if the current moment is in the second preset time period when the pure electric vehicle runs, and executing step 304 if the current moment is in the Nth preset time period when the pure electric vehicle runs.
Wherein N is a positive integer greater than or equal to 3. As shown in fig. 4, in this embodiment, the preset time period DT of the pure electric vehicle is recorded after the pure electric vehicle starts to run, the preset time period may be a fixed time period between 0 and 60 seconds, and the recording is started from the start of the pure electric vehicle during parallel running, where the order of the preset time periods of each preset time period is added by 1, for example, when the pure electric vehicle starts to start and runs, the pure electric vehicle is in the first preset time period, k is set to be 0, after the duration of the preset time period of running, the pure electric vehicle enters the second preset time period, k is 1, after the duration of the preset time period of running again, the pure electric vehicle enters the third preset time period, k is 2, and so on, after the duration of each preset time period of running, k is incremented by 1, and k is a natural number greater than or equal to 0.
In this embodiment, the order of the preset time periods at the current time may be specifically determined by determining the value of k, where if k is 0, the current time is in the first preset time period, if k is 1, the current time is in the second preset time period, if k is 2, the current time is in the third preset time period, and so on, and if k is N, the current time is in the N +1 th preset time period.
In this embodiment, the size of the preset time period may be set according to an actual requirement, the size of the preset time period is related to the calculation amount of the mileage calculation, the smaller the preset time period is, the more frequent the calculation sequence of the mileage calculation is, the larger the corresponding calculation amount is, and the smaller the preset time period is, the smaller the update frequency of the subsequent mileage is also affected, for example, the smaller the preset time period is, the more frequent the update frequency of the mileage is, and further, the more timely mileage update is provided for the user.
Step 302: and taking the average energy consumption per kilometer of the pure electric vehicle during last power-off as the average energy consumption per kilometer of the pure electric vehicle at the current moment.
The average energy consumption per kilometer of the pure electric vehicle during last power-off can be the average energy consumption per kilometer or the average total energy consumption per kilometer of the pure electric vehicle during last power-off, and represents the initial energy consumption.
Step 303: and generating the average energy consumption per kilometer of the pure electric vehicle at the current moment based on the running current and the instant speed in the first preset time period.
Specifically, in this embodiment, the average energy consumption per kilometer of the traveling vehicles can be obtained through the following methods:
firstly, integral calculation is carried out on the running current in a first preset time period in the first preset time period, so that the running energy consumption of the pure electric vehicle in the first preset time period is obtained.
For example, the following equation (3) is used to calculate the driving energy consumption of the pure electric vehicle in the first preset time period:
Figure BDA0001835330020000091
wherein, IdriveThe driving current of the pure electric vehicle in the first preset time period is DT, the value of the preset time period is DT, and the driving energy consumption of the pure electric vehicle in the first preset time period is E.
And then, performing integral calculation on the instant speed in the first preset time period to obtain the driving distance of the pure electric vehicle in the first preset time period.
For example, the following formula (4) is used to calculate the driving distance of the electric-only vehicle in the first preset time period:
Figure BDA0001835330020000101
the vehicle speed control method comprises the steps of obtaining a vehicle speed value, obtaining a driving distance value, obtaining a driving speed value, and obtaining a driving speed value of the pure electric vehicle.
And finally, obtaining the average driving energy consumption per kilometer of the pure electric vehicle at the current moment based on the driving energy consumption and the driving distance in the first preset time period.
For example, the average energy consumption per kilometer of the pure electric vehicle in the first preset time period can be obtained by dividing the driving energy consumption by the driving distance, and the energy consumption is used as the average energy consumption per kilometer of the pure electric vehicle in the current time.
Step 304: the method includes the steps that the average energy consumption per kilometer of the pure electric vehicle at the current moment is generated based on the running current and the instant speed in the previous preset time period, and the initial average energy consumption per kilometer of the pure electric vehicle at the current moment is learned based on the average energy consumption per kilometer of the pure electric vehicle in the previous preset time period, so that the final average energy consumption per kilometer of the pure electric vehicle at the current moment is obtained.
In this embodiment, the average energy consumption per kilometer of the pure electric vehicle at the current time of the initial driving is generated based on the driving current and the instant speed in the previous preset time period, which may specifically refer to the implementation in step 303, and is not described in detail here.
It should be noted that, in this embodiment, based on the average energy consumption per kilometer of the pure electric vehicle during the previous preset time period, the initial average energy consumption per kilometer of the pure electric vehicle is learned, which may be specifically implemented in the following manner:
and (5) obtaining the final average energy consumption per kilometer of the pure electric vehicle at the current moment by using the following formula (5):
Ereal＝(1-x)Ek-1+xEkformula (5)
Wherein E iskAverage energy consumption per kilometer for the initial running of the pure electric vehicle at the current moment, Ek-1Average energy consumption per kilometer for pure electric vehicles in the previous preset time period, ErealFor the final average energy consumption per kilometer of the pure electric vehicle at the current moment, x is a preset weight proportion value, and k +1 is the sequence of a preset time period at the current moment.
It should be noted that the preset weight ratio values (1-x) and x represent the ratio between the original driving characteristics and the new driving characteristics, so that in this embodiment, the driving characteristics are obtained through self-learning of the driving characteristics according to the previous preset time period (timing period) and the currently calculated average energy consumption per kilometer of the traveling vehicle, specifically, the driving characteristics are updated according to the preset weight ratio x (calibration value, which may be in a range of 0 to 0.5), the x of the original driving characteristics is discarded, the x of the new driving characteristics is added, and the true value E of the current average energy consumption per kilometer of the traveling vehicle is calculatedrealAnd before the next preset time period DT is finished, the actual value of the average energy consumption for driving per kilometer calculated in the last DT is used as the original driving characteristic, and the current average energy consumption for driving per kilometer is updated in an iterative manner.
In another implementation, as the driving range calculation scheme shown in fig. 1, a further improvement is made to the specific implementation of step 103 in calculating the average usage per kilometer of the pure electric vehicle at the current time, which may be specifically implemented in the following manner, as shown in fig. 5:
step 501: judging the sequence of the preset time periods recorded when the pure electric vehicle starts to run at the current moment, executing step 502 if the current moment is in the first preset time period when the pure electric vehicle runs, executing step 503 if the current moment is in the second preset time period when the pure electric vehicle runs, and executing step 504 if the current moment is in the Nth preset time period when the pure electric vehicle runs.
Wherein N is a positive integer greater than or equal to 3. In this embodiment, the order of the preset time periods at the current time may be specifically determined by determining the value of k, where if k is 0, the current time is in the first preset time period, if k is 1, the current time is in the second preset time period, if k is 2, the current time is in the third preset time period, and so on, if k is N, the current time is in the N +1 th preset time period, and N is a positive integer greater than or equal to 1.
Step 502: and taking the average time per kilometer of the pure electric vehicle when the pure electric vehicle is powered off last time as the average time per kilometer of the pure electric vehicle at the current moment.
The average time per kilometer of the pure electric vehicle during last power-off can be the average time per kilometer of the pure electric vehicle during last power-off, and represents the initial driving time.
Step 503: and generating the average time per kilometer of the pure electric vehicle at the current moment based on the instant speed in the first preset time period.
Specifically, in this embodiment, the average time per kilometer may be obtained by the following method:
firstly, integral calculation is carried out on the instant speed in a first preset time period in the first preset time period, and the running distance of the pure electric vehicle in the first preset time period is obtained.
For example, using the foregoing formula (4), the driving distance of the electric-only vehicle in the first preset time period is calculated.
And then, obtaining the average time per kilometer of the pure electric vehicle at the current moment by taking the ratio of the preset time period to the driving distance.
For example, the average time per kilometer of the pure electric vehicle in the first preset time period can be obtained by dividing the preset time period DT by the driving distance D in the first preset time period, and the average time per kilometer of the pure electric vehicle at the current time is used as the average time per kilometer of the pure electric vehicle.
Step 504: the method includes the steps that initial average time per kilometer of the pure electric vehicle at the current time is generated based on the instant speed in the previous preset time period, the initial average time per kilometer of the pure electric vehicle at the current time is learned based on the average time per kilometer of the pure electric vehicle in the previous preset time period, and the final average time per kilometer of the pure electric vehicle at the current time is obtained.
In this embodiment, the implementation in step 503 may be specifically referred to when the initial average time per kilometer of the blade electric vehicle at the current time is generated based on the instant vehicle speed in the previous preset time period, which is not described in detail herein.
It should be noted that, in this embodiment, based on the average time per kilometer of the pure electric vehicle in the previous preset time period, learning the initial average time per kilometer of the pure electric vehicle may specifically be implemented in the following manner:
and (3) obtaining the final average time per kilometer of the pure electric vehicle at the current moment by using the following formula (6):
Treal＝(1-x)Tk-1+xTkformula (5)
Wherein, TkThe initial average time per kilometer of the pure electric vehicle at the current moment is Tk-1For the average time per kilometer of the pure electric vehicle in the previous preset time period, TrealAnd x is a preset weight proportion value when the pure electric vehicle is used at the final average time per kilometer at the current moment, and k +1 is the sequence of the preset time period at the current moment.
It should be noted that the ratio between the original driving characteristics and the new driving characteristics is represented between the preset weight ratio values (1-x) and x, so that the average per kilometer calculated according to the previous preset time period (timing period) and the current average per kilometer is used in this embodimentThe driving characteristics are obtained through self-learning of the driving characteristics during use, the driving characteristics are updated according to a preset weight proportion x, the x of the original driving characteristics is abandoned, the x of the new driving characteristics is added, and the true value T of the current average time per kilometer is calculatedreal＝(1-x)Tk-1+xTkAnd before the next preset time period DT is finished, the actual value of the average time-per-kilometer calculated in the last DT is used as the original driving characteristic, and the current average time-per-kilometer is updated in an iterative manner.
In practical application, the state of health (SOH) of the battery is reduced along with the increase of the number of charging and discharging times of the battery, for example, after 300 charging and discharging times, the total energy of the fully charged battery cannot reach the total energy of the battery when the battery leaves a factory, and may only reach 80% or 90% of the total energy of the factory, therefore, in order to further improve the accuracy of calculating the endurance mileage in this embodiment, the SOH may be considered in the calculation of the current remaining energy of the battery, and correspondingly, step 102 is specifically implemented in the following manner, as shown in fig. 6:
step 601: and acquiring the current operating parameters of the battery.
The current operating parameters may include: battery real-time SOC and SOH, etc.
Step 602: by using Erest＝Etotal× SOC × SOH, obtaining the current remaining energy of the battery, wherein EtotalIs the total energy of the cell, ErestIs the current remaining energy of the battery.
In an implementation manner, after the driving range is acquired, the driving range may be displayed to prompt a user of a distance that the pure electric vehicle can travel in the current driving state.
For example, the driving range may be displayed on a display such as an in-vehicle display screen in the present embodiment. Specifically, in this embodiment, the driving mileage may be displayed based on a certain preset rule. And if the acquired endurance mileage is updated and displayed once every preset time period or the displayed endurance mileage is updated once every certain mileage step length according to the acquired endurance mileage.
Specifically, in order to ensure that the continuation of the journey mileage updated and displayed by the pure electric vehicle does not generate obvious jump in each preset time period in this embodiment, filtering processing may be performed on the displayed continuation of the journey mileage value, and the filtering processing principle may include: the mileage display of the vehicle before and after power-on and power-off should be kept unchanged; when the air conditioner is started, the endurance mileage is reduced and changes along with the change of the gear of the air conditioner; the endurance mileage should be increased when the air conditioner is turned off; the endurance mileage in the running and charging process should not jump continuously or greatly.
Based on the above principle, the display and the change of the calculated driving mileage are checked and displayed in the embodiment, which mainly includes the following points:
1. initial difference check
The display of the endurance mileage of the vehicle is kept unchanged before and after power-on and power-off under normal conditions, and if the difference between the actual endurance mileage after power-on and the last instrument display value is larger than D (kilometer km) or the actual endurance mileage is smaller than D (the value range of D is 0-50km), the actual calculated value is displayed instead of the last display value after power-on. That is to say, in this embodiment, when the current time is in the first preset time period of the electric-only vehicle running, that is, when the vehicle is just powered on, the initial driving range of the electric-only vehicle at the last power off time may be obtained, and at this time, the initial driving range may be directly determined as the target driving range to perform subsequent processing, for example, the target driving range is displayed, and the like.
However, since various states in the vehicle may change when the vehicle is not powered on, such as when the battery is powered off, in order to accurately display the endurance mileage, the present embodiment needs to verify the display of the endurance mileage when powered on.
For example, when the endurance mileage at power-on is calculated in this embodiment, that is, the endurance mileage at the first preset time period at the current time is continuously calculated, which may be specifically implemented in the following manner: after the instant vehicle speed, the running current and the consumed current of the target component are obtained, the average energy consumption per kilometer of the pure electric vehicle during last power-off is used as the average energy consumption per kilometer of the running at the current moment, and the average time consumption per kilometer of the pure electric vehicle during last power-off is used as the average time consumption per kilometer at the current moment, so that the average energy consumption per kilometer of the component is obtained by using the average time consumption per kilometer and the consumed current, the average total energy consumption per kilometer is obtained by adding the average energy consumption per kilometer of the component and the average energy consumption per kilometer of the running, and the running mileage of the pure electric vehicle at the current moment can be calculated based on the current residual energy of the battery at the current moment and the average total energy.
After obtaining the endurance mileage at the time of power-on, comparing the initial endurance mileage with the actually obtained endurance mileage, if the currently obtained endurance mileage is smaller than a first threshold (the first threshold is a value between 0 and 50km) or a difference value between the currently obtained endurance mileage and the initial endurance mileage is larger than a second threshold (the second threshold is a value between 0 and 50km), determining that the currently actually obtained endurance mileage is taken as a target endurance mileage without considering the initial endurance mileage, otherwise, directly determining the initial endurance mileage as the target endurance mileage for display or other purposes, thereby providing more accurate endurance mileage display for the user (namely, when the current time is in a first preset time period, namely k is 0, the verification is required, and otherwise, outputting an actual calculated value);
2. trend limiting
When the air conditioner is started, the endurance mileage is reduced and changes along with the change of the gear of the air conditioner; when the air conditioner is closed, the endurance mileage should be increased;
3. varying frequency limits
During driving, the driving range is allowed to change once per driving D1(0-10km) or DT1(0-30s) (the driving range can be increased or decreased during driving because an energy recovery function can be realized); in the charging process, the endurance mileage changes once per DT2(0-30s), the display is not allowed to be reduced, and only the increase is allowed;
4. amplitude of variation (step size) limitation
During driving, the display is reduced by D2 at most each time, and the display is increased by D3 at most each time; in the charging process, D4 is increased at most in each display, and the value ranges of D2, D3 and D4 are 0-10 km.
According to the embodiment, in the method for calculating the endurance mileage of the pure electric vehicle based on the historical driving time self-learning, the driving energy consumption is updated through calculation of the vehicle energy consumption in a fixed short time and self-learning in the same time, and meanwhile, the display value is filtered, so that the accuracy and the stability of the endurance mileage calculation are realized, and the driving experience and the use experience are greatly improved.
Referring to fig. 7, a schematic structural diagram of an apparatus for acquiring a driving range of a pure electric vehicle according to a second embodiment of the present invention is provided, where the apparatus may be disposed in a system of the pure electric vehicle to calculate the driving range, and the apparatus may specifically include the following structures:
the data acquisition unit 701 is used for acquiring the instant speed of the pure electric vehicle, the running current of the pure electric vehicle and the consumption current of a target component in the pure electric vehicle in the running process of the pure electric vehicle.
The data acquisition unit 701 may read data from various control devices in the pure electric vehicle, such as components of a sensor and the like, for example, an instant vehicle speed is obtained by reading data monitored in a vehicle speed sensor in the pure electric vehicle, a driving current of the pure electric vehicle and a consumption current of a target component are read by a current sensor, or a driving current I for driving in a corresponding time period or distance may be obtained according to a voltage, a current, an actual power of an air conditioner and the like of a battery pack obtained by an information acquisition moduledriveConsumption current I for operation of target componentacm。
The energy obtaining unit 702 is configured to obtain a current remaining energy of the battery based on a battery state of the pure electric vehicle.
In the embodiment, the real-time SOC of the battery can be read by a sensor in the battery, and the total energy of the battery is further multiplied by the SOC to obtain the current remaining energy of the battery.
The energy consumption calculating unit 703 is configured to calculate average energy consumption per kilometer and average time consumption per kilometer of the pure electric vehicle in the driving at the current time based on at least the instant vehicle speed and the driving current; and obtaining the average energy consumption per kilometer of the target component by utilizing the average time per kilometer and the consumed current of the target component, and summing the average energy consumption per kilometer of the component and the average energy consumption per kilometer of the travelling crane to obtain the average total energy consumption per kilometer.
And the mileage acquiring unit 704 is configured to acquire a driving range of the pure electric vehicle based on the current remaining energy of the battery and the average total energy consumption per kilometer.
According to the scheme, the device for acquiring the cruising range of the pure electric vehicle, provided by the second embodiment of the invention, can be used for acquiring real-time parameters of the pure electric vehicle in the driving process, such as the instant vehicle speed, the driving current, the consumed current of target components such as an air conditioner and the like, further calculating the energy consumption of the pure electric vehicle per kilometer in driving and the average energy consumption of the components of the target components based on the parameters, further obtaining the accurate average total energy consumption per kilometer, and further calculating the average total energy consumption per kilometer by using the current residual energy of the battery, so that the cruising range of the pure electric vehicle can be obtained. Therefore, the situation that the endurance mileage accuracy is low due to large fluctuation of vehicle electric energy consumption is avoided in the embodiment, the running condition of the pure electric vehicle and the energy consumption of components such as an air conditioner are taken into consideration in the calculation of the endurance mileage, so that the accuracy of the endurance mileage is improved, more accurate endurance mileage is provided for a user to change a driving plan, and the like, and the use experience of the user is obviously improved.
It should be noted that, in the embodiment, reference may be made to fig. 1 to fig. 6 and corresponding contents in the foregoing for specific implementation manners of each functional unit in the obtaining apparatus, and details are not described here.
Referring to fig. 8, a schematic structural diagram of a system for acquiring a driving range of a pure electric vehicle according to a third embodiment of the present invention is provided, where the system may be disposed in a pure electric vehicle, and is used to accurately calculate the driving range of a battery of the pure electric vehicle.
In this embodiment, the system may include the following structure:
the vehicle speed sensor 801 is used for monitoring the instant vehicle speed of the pure electric vehicle in the driving process;
the current sensor 802 is used for monitoring the running current of the pure electric vehicle in the running process and the consumption current of a target component in the pure electric vehicle;
a battery sensor 803 for monitoring a battery state in the pure electric vehicle;
the processor 804 is configured to obtain current remaining energy of the battery based on the battery state, and calculate average energy consumption per kilometer and average time consumption per kilometer of the pure electric vehicle in driving at the current time based on at least the instant vehicle speed and the driving current; acquiring the average energy consumption per kilometer of the target component by utilizing the average time per kilometer and the consumed current of the target component, and summing the average energy consumption per kilometer of the component and the average energy consumption per kilometer of the running vehicle to obtain the average total energy consumption per kilometer; and obtaining the endurance mileage of the pure electric vehicle based on the current residual energy and the average total energy consumption per kilometer of the battery.
The processor 804 may perform self-learning calculation for energy consumption per kilometer and time consumption per kilometer based on historical driving characteristics when calculating and calculating average energy consumption per kilometer and average time consumption per kilometer of the pure electric vehicle at the current time, so as to obtain more accurate average energy consumption per kilometer and average time consumption per kilometer, as shown in fig. 9 and 10:
taking fig. 9 as an example: in this embodiment, when the vehicle enters the driving state, timing is started, k represents the serial number of the preset time period DT, and 1 is added to the k value every time DT passes.
Energy consumption E per kilometer at the current moment in the first preset time period DT, i.e. when k is 0realRepresenting the initial energy consumption for the average energy consumption value per kilometer stored when the vehicle is powered off last time;
energy consumption E per kilometer at the current moment in a second preset time, namely when k is 1realFor calculating the average energy consumption per kilometer based on the first preset periodkThe current driving characteristics can be reflected;
when k is more than or equal to 2, energy consumption E per kilometer at the current momentrealThe driving characteristics are obtained through self-learning of the driving characteristics according to the average energy consumption per kilometer of the previous timing period and the current timing period, the driving characteristics are updated according to a preset weight proportion x (a calibration value, the value range is 0-0.5), the x of the original driving characteristics is abandoned, the x of the new driving characteristics is added, and the true value E of the energy consumption per kilometer of the current average energy consumption per kilometer for driving is calculatedreal＝(1-x)Ek-1+xEkAnd before the next DT timing period is finished, the actual value of the average energy consumption for driving per kilometer calculated in the last DT time is used as the original driving characteristic, and the current average energy consumption for driving per kilometer is updated in an iterative manner.
As shown in fig. 10, when k is 0 within the first preset time DT, T is used per kilometer at the current timerealThe average driving time per kilometer stored when the vehicle is powered off last time represents the initial driving time;
during a second predetermined time, i.e. when k is 1, T is used per kilometer at the current momentrealFor calculating the time per kilometer of driving according to a first preset periodkThe current driving characteristics can be reflected;
when k is more than or equal to 2, T is used per kilometer at the current momentrealThe driving characteristics are obtained through self-learning of the driving characteristics according to the average time per kilometer of the previous timing period and the current timing period, the driving characteristics are updated according to a preset weight proportion x, x (the value is the same as that in energy consumption calculation) of the original driving characteristics is abandoned, x of the new driving characteristics is added, and the true value T of the current average driving time per kilometer is calculatedreal＝(1-x)Tk-1+xTkBefore the next DT timing period is finished, the actual value of the average driving time per kilometer calculated in the last DT time is used as the original driving characteristic, and the current average driving time per kilometer is updated in an iterative mode.
Accordingly, the processor 804 can be divided into: the battery residual energy, the average energy consumption per kilometer of the travelling crane, the average time per kilometer of the travelling crane, the self-learning, the mileage continuation calculation and other functional modules.
And a display 805 for displaying the calculated driving range.
In addition, in this embodiment, a display filtering function for the endurance mileage may be further added to the display 805, specifically, such as an initial difference check, a change frequency limit, a change step limit, a change trend limit, and the like, so as to achieve stability of calculation and display of the endurance mileage and improve driving experience and use experience.
According to the scheme, the system for acquiring the cruising range of the pure electric vehicle provided by the third embodiment of the invention acquires real-time parameters of the pure electric vehicle in the driving process, such as the instant vehicle speed, the driving current, the consumed current of target components such as an air conditioner and the like, and further calculates the energy consumption of the pure electric vehicle per kilometer in driving and the average energy consumption of the components of the target components based on the parameters to further obtain the accurate average total energy consumption per kilometer, so that the average total energy consumption per kilometer is calculated by using the current residual energy of the battery, and the cruising range of the pure electric vehicle can be obtained. Therefore, the situation that the endurance mileage accuracy is low due to large fluctuation of vehicle electric energy consumption is avoided in the embodiment, the running condition of the pure electric vehicle and the energy consumption of components such as an air conditioner are taken into consideration in the calculation of the endurance mileage, so that the accuracy of the endurance mileage is improved, more accurate endurance mileage is provided for a user to change a driving plan, and the like, and the use experience of the user is obviously improved.
It should be noted that, reference may be made to fig. 1 to fig. 6 and corresponding contents in the foregoing for specific implementation of each component in the system of the present embodiment, and details thereof are not described here.
It should be noted that, in the present specification, the embodiments are all described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments may be referred to each other.
Finally, it should also be noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The method, the device and the system for acquiring the cruising range of the pure electric vehicle provided by the invention are described in detail above, and the above description of the disclosed embodiments enables a person skilled in the art to implement or use the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims (9)

1. A method for acquiring the endurance mileage of a pure electric vehicle is characterized by comprising the following steps:
in the running process of the pure electric vehicle, acquiring the instant speed of the pure electric vehicle, the running current of the pure electric vehicle and the consumption current of a target component in the pure electric vehicle;
acquiring the current residual energy of the battery based on the battery state of the pure electric vehicle;
calculating the average energy consumption per kilometer and the average time consumption per kilometer of the pure electric vehicle at the current moment based on at least the instant vehicle speed and the driving current;
obtaining the average energy consumption per kilometer of the target component by utilizing the average time per kilometer and the consumed current of the target component;
summing the average energy consumption per kilometer of the components and the average energy consumption per kilometer of the travelling crane to obtain average total energy consumption per kilometer;
obtaining the endurance mileage of the pure electric vehicle based on the current remaining energy of the battery and the average total energy consumption per kilometer;
calculating the average energy consumption per kilometer of the pure electric vehicle in the driving process at the current moment at least based on the instant vehicle speed and the driving current, wherein the method comprises the following steps:
judging the sequence of the preset time period recorded from the start of running of the pure electric vehicle at the current moment;
if the current moment is in a first preset time period of the pure electric vehicle running, taking the average energy consumption per kilometer of the pure electric vehicle when the pure electric vehicle is powered off last time as the average energy consumption per kilometer of the pure electric vehicle when the pure electric vehicle runs at the current moment;
if the current moment is in a second preset time period of the pure electric vehicle, generating average energy consumption per kilometer of the pure electric vehicle at the current moment based on the running current and the instant speed in the first preset time period;
if the current moment is in the Nth preset time period that the pure electric vehicle runs, N is a positive integer greater than or equal to 3, based on the running current and the instant speed in the previous preset time period, the energy consumption per kilometer of the initial running of the pure electric vehicle at the current moment is generated, and based on the previous preset time period, the energy consumption per kilometer of the average running of the pure electric vehicle at the current moment is right, the energy consumption per kilometer of the initial running is learned, and the energy consumption per kilometer of the final running of the pure electric vehicle at the current moment is obtained.
2. The method of claim 1, wherein learning the initial average energy consumption per kilometer of the pure electric vehicle based on the average energy consumption per kilometer of the pure electric vehicle in a previous preset time period to obtain the final average energy consumption per kilometer of the pure electric vehicle at the current time comprises:
by using Ereal＝(1-x)Ek-1+xEkAnd obtaining the final average driving energy consumption per kilometer of the pure electric automobile at the current moment, wherein EkThe average energy consumption per kilometer of the pure electric vehicle at the initial running time at the current moment Ek-1Average energy consumption per kilometer of the pure electric vehicle in the previous preset time period, ErealAnd x is a preset weight proportion value, wherein the x is the final average energy consumption per kilometer of the pure electric vehicle at the current moment.
3. The method according to claim 1, wherein generating the average energy consumption per kilometer of the pure electric vehicle at the current moment based on the driving current and the instant vehicle speed in the first preset time period comprises:
performing integral calculation on the running current in the first preset time period to obtain the running energy consumption of the pure electric vehicle in the first preset time period;
performing integral calculation on the instant speed of the first preset time period within the first preset time period to obtain the running distance of the pure electric vehicle within the first preset time period;
and obtaining the average driving energy consumption per kilometer of the pure electric vehicle at the current moment based on the driving energy consumption and the driving distance in the first preset time period.
4. The method of claim 1, wherein calculating the average time-per-kilometer usage of the electric-only vehicle at the current time comprises:
judging the sequence of the preset time period recorded from the start of running of the pure electric vehicle at the current moment;
if the current time is in a first preset time period of the pure electric vehicle running, taking the average time per kilometer of the pure electric vehicle during last power-off as the average time per kilometer of the pure electric vehicle at the current time;
if the current time is in a second preset time period of the pure electric vehicle, generating the average time per kilometer of the pure electric vehicle at the current time based on the instant speed in the first preset time period;
if the current time is in the Nth preset time period of pure electric vehicles running, N is a positive integer greater than or equal to 3, based on the instant vehicle speed in the previous preset time period, the initial average time per kilometer of the pure electric vehicles at the current time is generated, and based on the previous preset time period, the average time per kilometer of the pure electric vehicles is learned to obtain the final average time per kilometer of the pure electric vehicles at the current time.
5. The method according to claim 4, wherein learning the initial average time per kilometer usage based on the average time per kilometer usage of the pure electric vehicle in a previous preset time period to obtain a final average time per kilometer usage of the pure electric vehicle at a current time comprises:
by Treal＝(1-x)Tk-1+xTkAnd obtaining the final average time per kilometer of the pure electric vehicle at the current moment, wherein TkThe initial average time per kilometer of the pure electric vehicle at the current moment is Tk-1The average time per kilometer of the pure electric vehicle in the previous preset time period is TrealAnd x is a preset weight proportion value when the pure electric vehicle is used at the final average time per kilometer at the current moment, and k is the sequence of a preset time period at the current moment.
6. The method according to claim 4, wherein generating the average time per kilometer of the pure electric vehicle at the current moment based on the instant vehicle speed in the first preset time period comprises:
performing integral calculation on the instant speed of the first preset time period within the first preset time period to obtain the running distance of the pure electric vehicle within the first preset time period;
and taking the ratio of the preset time period to the driving distance to obtain the average time per kilometer of the pure electric vehicle at the current moment.
7. The method of claim 1, wherein obtaining the current remaining energy of the battery comprises:
acquiring current operation parameters of the battery, wherein the current operation parameters at least comprise a battery real-time state of charge (SOC) parameter and a battery state of health (SOH) parameter;
by using Erest＝Etotal× SOC × SOH, obtaining the current remaining energy of the battery, wherein EtotalIs the total energy of the cell, ErestIs the current remaining energy of the battery.
8. The method of claim 1, further comprising:
if the current moment is in a first preset time period of the pure electric vehicle, acquiring the initial endurance mileage of the pure electric vehicle when the pure electric vehicle is powered off last time;
and if the currently acquired endurance mileage is smaller than a preset first threshold or the difference value between the currently acquired endurance mileage and the initial endurance mileage is larger than a preset second threshold, determining the currently acquired endurance mileage as a target endurance mileage, otherwise, determining the initial endurance mileage as the target endurance mileage.
9. The utility model provides an acquisition system of pure electric vehicles continuation of journey mileage which characterized in that includes:
the speed sensor is used for monitoring the instant speed of the pure electric vehicle in the running process;
the current sensor is used for monitoring the running current of the pure electric vehicle in the running process and the consumption current of a target component in the pure electric vehicle;
the battery sensor is used for monitoring the battery state in the pure electric vehicle;
the processor is used for acquiring the current residual energy of the battery based on the battery state, and calculating the average energy consumption per kilometer and the average time per kilometer of the pure electric vehicle at the current moment based on at least the instant vehicle speed and the driving current; obtaining the average energy consumption per kilometer of the target component by utilizing the average time per kilometer and the consumed current of the target component, and summing the average energy consumption per kilometer of the component and the average energy consumption per kilometer of the travelling crane to obtain the average total energy consumption per kilometer; obtaining the endurance mileage of the pure electric vehicle based on the current remaining energy of the battery and the average total energy consumption per kilometer;
calculating the average energy consumption per kilometer of the pure electric vehicle in the driving process at the current moment at least based on the instant vehicle speed and the driving current, wherein the method comprises the following steps:
judging the sequence of the preset time period recorded from the start of running of the pure electric vehicle at the current moment;
if the current moment is in a first preset time period of the pure electric vehicle running, taking the average energy consumption per kilometer of the pure electric vehicle when the pure electric vehicle is powered off last time as the average energy consumption per kilometer of the pure electric vehicle when the pure electric vehicle runs at the current moment;
if the current moment is in a second preset time period of the pure electric vehicle, generating average energy consumption per kilometer of the pure electric vehicle at the current moment based on the running current and the instant speed in the first preset time period;
if the current moment is in the Nth preset time period that the pure electric vehicle runs, N is a positive integer greater than or equal to 3, based on the running current and the instant speed in the previous preset time period, the energy consumption per kilometer of the initial running of the pure electric vehicle at the current moment is generated, and based on the previous preset time period, the energy consumption per kilometer of the average running of the pure electric vehicle at the current moment is right, the energy consumption per kilometer of the initial running is learned, and the energy consumption per kilometer of the final running of the pure electric vehicle at the current moment is obtained.
CN201811223314.2A 2018-10-19 2018-10-19 Method and system for acquiring endurance mileage of pure electric vehicle Active CN109532556B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201811223314.2A CN109532556B (en) 2018-10-19 2018-10-19 Method and system for acquiring endurance mileage of pure electric vehicle

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201811223314.2A CN109532556B (en) 2018-10-19 2018-10-19 Method and system for acquiring endurance mileage of pure electric vehicle

Publications (2)

Publication Number Publication Date
CN109532556A CN109532556A (en) 2019-03-29
CN109532556B true CN109532556B (en) 2020-07-03

Family

ID=65844345

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201811223314.2A Active CN109532556B (en) 2018-10-19 2018-10-19 Method and system for acquiring endurance mileage of pure electric vehicle

Country Status (1)

Country Link
CN (1) CN109532556B (en)

Families Citing this family (17)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110018427A (en) * 2019-05-24 2019-07-16 福建工程学院 A kind of battery health of electric automobile appraisal procedure based on travelling data
CN110370933A (en) * 2019-07-10 2019-10-25 一汽解放汽车有限公司 A kind of course continuation mileage estimating system based on driving style identification
CN110667406A (en) * 2019-09-29 2020-01-10 奇瑞新能源汽车股份有限公司 Electric automobile instantaneous endurance computing system and method and electric automobile
CN110861501A (en) * 2019-11-19 2020-03-06 东风航盛（武汉）汽车控制系统有限公司 Method for estimating endurance mileage of electric automobile based on self-learning
CN110843536B (en) * 2019-11-29 2021-06-15 安徽江淮汽车集团股份有限公司 Electric automobile energy consumption calculation method, device, equipment and storage medium
CN113022314A (en) * 2019-12-09 2021-06-25 北京车和家信息技术有限公司 Driving range estimation method and device and vehicle
CN112977164A (en) * 2019-12-18 2021-06-18 北京宝沃汽车股份有限公司 Method and device for determining driving mileage of electric vehicle and vehicle
CN113682196B (en) * 2020-05-19 2024-04-02 北京新能源汽车股份有限公司 Electric automobile endurance mileage evaluation method and device and automobile
CN112406629A (en) * 2020-11-25 2021-02-26 中国第一汽车股份有限公司 Remaining mileage determination method, device, equipment and vehicle
CN112622619B (en) * 2020-12-17 2024-09-24 江苏开沃汽车有限公司 Display method of code-breaking screen instrument
CN112590620A (en) * 2020-12-25 2021-04-02 吉林大学 Pure electric vehicle energy consumption estimation method oriented to random stroke model
CN112721661B (en) * 2021-01-29 2022-06-14 重庆长安新能源汽车科技有限公司 Estimation method and device for cruising mileage of fuel cell electric vehicle and storage medium
CN114312490B (en) * 2021-03-24 2023-12-15 长城汽车股份有限公司 Method and device for determining endurance mileage and vehicle
CN113844270B (en) * 2021-09-30 2023-08-01 华人运通(江苏)技术有限公司 Display mileage updating method and device of electric automobile and vehicle
CN114475257B (en) * 2022-01-25 2023-07-11 中通客车股份有限公司 Method and system for calculating driving range of pure electric bus
CN115626091B (en) * 2022-10-27 2024-08-13 重庆长安新能源汽车科技有限公司 Method, device, equipment and medium for displaying residual hydrogen quantity of hydrogen fuel cell automobile
CN116424154B (en) * 2023-03-06 2024-02-13 合众新能源汽车股份有限公司 Electric vehicle energy consumption estimation method, system, equipment and medium

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20130051132A (en) * 2011-11-09 2013-05-20 자동차부품연구원 System for estimating available driving distance of electric vehicles and method therefor
CN104842797A (en) * 2014-05-22 2015-08-19 北汽福田汽车股份有限公司 Method and system for estimating future average power consumption and remaining driving range of electric automobile
CN106114233A (en) * 2016-08-15 2016-11-16 江苏大学 A kind of pure electric automobile remaining mileage evaluation method
CN106553550A (en) * 2015-09-25 2017-04-05 比亚迪股份有限公司 The remaining mileage evaluation method of electric automobile, system and electric automobile
CN107662510A (en) * 2016-07-29 2018-02-06 长城汽车股份有限公司 Remaining continual mileage detection method, detection means and vehicle

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20130051132A (en) * 2011-11-09 2013-05-20 자동차부품연구원 System for estimating available driving distance of electric vehicles and method therefor
CN104842797A (en) * 2014-05-22 2015-08-19 北汽福田汽车股份有限公司 Method and system for estimating future average power consumption and remaining driving range of electric automobile
CN106553550A (en) * 2015-09-25 2017-04-05 比亚迪股份有限公司 The remaining mileage evaluation method of electric automobile, system and electric automobile
CN107662510A (en) * 2016-07-29 2018-02-06 长城汽车股份有限公司 Remaining continual mileage detection method, detection means and vehicle
CN106114233A (en) * 2016-08-15 2016-11-16 江苏大学 A kind of pure electric automobile remaining mileage evaluation method

Also Published As

Publication number Publication date
CN109532556A (en) 2019-03-29

Similar Documents

Publication Publication Date Title
CN109532556B (en) Method and system for acquiring endurance mileage of pure electric vehicle
CN111806239B (en) Electric vehicle endurance mileage measuring method, electronic device, and storage medium
CN110549876B (en) Energy output control method and device and hydrogen fuel hybrid electric vehicle
EP3369604B1 (en) Method and system for estimating remaining range of electric car, and electric car
JP6524182B2 (en) Apparatus and method for estimating secondary battery parameters
CN104773086B (en) The method and system of battery impedance parameter is estimated using rolling time horizon regression analysis
CN102368091B (en) Method for estimating battery parameter
JP6239611B2 (en) Charge control device and charge control method
US8862375B2 (en) System and method for calculating distance to empty of green vehicle
US20120112754A1 (en) Apparatus quantifying state-of-charge of vehicle-mounted rechargeable battery
US20150197159A1 (en) Impedance based battery parameter estimation
US9539904B2 (en) Energy consumption rate in distance domain
CN102870270A (en) System and method for range calculation in vehicles
CN102253342A (en) Battery state estimator using multiple sampling rates
CN110549906B (en) Segmented display method and device for endurance mileage
CN111422070A (en) Method and device for detecting endurance mileage and new energy vehicle
CN108128168B (en) Average power consumption calculation method and device for electric automobile
US20150171640A1 (en) Battery parameter estimation
CN113682196A (en) Method and device for evaluating endurance mileage of electric automobile and automobile
JP2020065424A (en) Display device and vehicle comprising the same
CN116572799B (en) Power battery charge duration prediction method, system and terminal based on deep learning
CN113665431A (en) Method and device for estimating remaining endurance mileage of electric automobile
CN113119793A (en) Vehicle driving range calculation method and device
CN104512266A (en) Power supply management method in automobile starting process, and automobile power supply system
CN116512976A (en) Method and device for estimating endurance mileage, electronic equipment and storage medium

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant
CP03 Change of name, title or address

Address after: 4 / F, building 1, No.14 Jiuxianqiao Road, Chaoyang District, Beijing 100020

Patentee after: Beijing Jingwei Hirain Technologies Co.,Inc.

Address before: 8 / F, block B, No. 11, Anxiang Beili, Chaoyang District, Beijing 100101

Patentee before: Beijing Jingwei HiRain Technologies Co.,Ltd.

CP03 Change of name, title or address