CN113276728A - Charging reminding method and system for electric automobile - Google Patents

Charging reminding method and system for electric automobile Download PDF

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Publication number
CN113276728A
CN113276728A CN202110773994.0A CN202110773994A CN113276728A CN 113276728 A CN113276728 A CN 113276728A CN 202110773994 A CN202110773994 A CN 202110773994A CN 113276728 A CN113276728 A CN 113276728A
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route
current
driving route
electric automobile
historical
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王淑雅
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Anhui Institute of Information Engineering
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Anhui Institute of Information Engineering
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Priority to CN202110773994.0A priority Critical patent/CN113276728A/en
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    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60LPROPULSION 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
    • B60L58/00Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
    • B60L58/10Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
    • B60L58/12Methods 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]
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60LPROPULSION 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
    • B60L2260/00Operating Modes
    • B60L2260/40Control modes
    • B60L2260/50Control modes by future state prediction
    • B60L2260/52Control modes by future state prediction drive range estimation, e.g. of estimation of available travel distance
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60LPROPULSION 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
    • B60L2260/00Operating Modes
    • B60L2260/40Control modes
    • B60L2260/50Control modes by future state prediction
    • B60L2260/54Energy consumption estimation
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00Road transport of goods or passengers
    • Y02T10/60Other road transportation technologies with climate change mitigation effect
    • Y02T10/70Energy storage systems for electromobility, e.g. batteries

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  • Engineering & Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Sustainable Development (AREA)
  • Sustainable Energy (AREA)
  • Power Engineering (AREA)
  • Transportation (AREA)
  • Mechanical Engineering (AREA)
  • Electric Propulsion And Braking For Vehicles (AREA)
  • Charge And Discharge Circuits For Batteries Or The Like (AREA)

Abstract

The invention discloses a charging reminding method and a charging reminding system for an electric automobile, which comprise the following steps: acquiring the residual electric quantity of a battery of the electric automobile; when the residual electric quantity is lower than a preset electric quantity threshold value and the electric automobile runs for more than preset time in a start-stop period, acquiring a current running route and a current time point of the electric automobile in the start-stop period; determining a future expected driving route of the electric automobile based on the current driving route and the current time point, and acquiring road condition information of the expected driving route; acquiring the electric quantity use condition of the electric automobile in the start-stop period; determining the estimated power consumption of the electric vehicle based on the expected driving route, the road condition information of the expected driving route and the power usage; and when the estimated power consumption is smaller than the residual power of the battery of the electric automobile with the preset proportion, controlling the electric automobile to execute power early warning.

Description

Charging reminding method and system for electric automobile
Technical Field
The invention relates to the technical field of charging systems of electric automobiles, in particular to a charging reminding method and system of an electric automobile
Background
The electric automobile as a new generation of transportation has incomparable advantages compared with the traditional automobile in the aspects of saving energy, reducing emission and reducing the dependence of human on traditional fossil energy. The power battery is as electric automobile's power supply, and the continuation of the journey and the work efficiency that directly influence electric automobile are electric automobile's core technique, however, because electric automobile battery weight unit energy storage is too little, and people's high rhythm life in addition often makes people forget to charge for electric automobile, and then often leads to electric automobile to stop on half way, and is very inconvenient.
Disclosure of Invention
The invention aims to provide a charging reminding method and a charging reminding system for an electric automobile, which can be used for estimating the endurance of users in time, realizing charging reminding and avoiding the situation that the electric automobile is stopped on half way due to forgetting to charge.
In order to achieve the above object, the present invention provides a charging reminding method for an electric vehicle, including:
acquiring the residual electric quantity of a battery of the electric automobile;
when the residual electric quantity is lower than a preset electric quantity threshold value and the electric automobile runs for more than preset time in a start-stop period, acquiring a current running route and a current time point of the electric automobile in the start-stop period;
determining a future expected driving route of the electric automobile based on the current driving route and the current time point, and acquiring road condition information of the expected driving route;
acquiring the electric quantity use condition of the electric automobile in the start-stop period;
determining the estimated power consumption of the electric vehicle based on the expected driving route, the road condition information of the expected driving route and the power usage; and
and when the estimated power consumption is smaller than the residual power of the battery of the electric automobile in a preset proportion, controlling the electric automobile to execute power early warning.
Preferably, the determining the future expected driving route of the electric vehicle based on the current driving route and the current time point comprises:
acquiring historical driving data of the electric automobile, wherein the historical driving data comprises: historical time points, historical driving routes within a preset range of the time points; and
determining an expected travel route corresponding to the current traveled route and the current time point based on the historical travel data.
Preferably, the determining the current traveled route and the expected travel route corresponding to the current time point based on the historical travel data comprises:
judging whether a historical driving route in a preset range of the current time point is matched with the current driving route in the historical driving data;
if the current driving route exists, the route left by dividing the current driving part in the historical driving route is directly used as the expected driving route.
Preferably, the determining the current traveled route and the expected travel route corresponding to the current time point based on the historical travel data further comprises:
if the historical driving route in the preset range of the current time point does not exist, continuously judging whether the historical driving route is matched with the current driving route at other time points or not;
and if the historical driving routes at other time points are matched with the current driving route, taking the remaining route of the historical driving routes at other time points except the current driving route as an expected driving route.
Preferably, if there is no historical travel route at another time point matching the current travel route, destination request information is sent to a user of the electric vehicle, a travel route of a destination is searched after the address information of the user is received, and the searched travel route is used as an expected travel route.
In addition, the invention also provides a charging reminding system of the electric automobile, which comprises the following components:
the electric quantity obtaining unit is used for obtaining the residual electric quantity of a battery of the electric automobile;
the information acquisition unit is used for acquiring a current driving route and a current time point of the electric automobile in a start-stop period when the residual electric quantity is lower than a preset electric quantity threshold value and the electric automobile is driven for more than preset time in the start-stop period;
the route and road condition determining unit is used for determining a future expected driving route of the electric automobile based on the current driving route and the current time point and acquiring road condition information of the expected driving route;
the electric quantity use condition acquisition unit is used for acquiring the electric quantity use condition of the electric automobile in the start-stop period;
the estimated loss determining unit is used for determining the estimated loss electric quantity of the electric automobile based on the expected driving route, the road condition information of the expected driving route and the electric quantity use condition; and
and the early warning control unit is used for controlling the electric automobile to execute electric quantity early warning when the estimated power consumption is smaller than the residual electric quantity of the battery of the electric automobile in a preset proportion.
Preferably, the route and road condition determining unit for determining the future expected driving route of the electric vehicle based on the current driving route and the current time point comprises:
a historical data acquisition module for acquiring historical driving data of the electric vehicle, wherein the historical driving data comprises: historical time points, historical driving routes within a preset range of the time points; and
and the route determining module is used for determining the current driving route and an expected driving route corresponding to the current time point based on the historical driving data.
Preferably, the route determination module comprises:
the route judgment submodule is used for judging whether the historical driving route in the preset range of the current time point in the historical driving data is matched with the current driving route;
and the route determining submodule is used for directly taking the route which is left by dividing the current driving part in the historical driving route as the expected driving route if the route exists.
In addition, the invention also provides a storage medium, wherein a program is stored on the storage medium, and the program realizes the charging reminding method of the electric automobile when being executed by a processor.
In addition, the invention also provides a processor, wherein the processor is used for running the program, and the charging reminding method of the electric automobile is executed when the program runs.
According to the technical scheme, the designed charging reminding method and system of the electric automobile can be used for timely estimating the remaining driving condition of the automobile, when the remaining electric quantity of the automobile is lower than the remaining electric quantity of the battery of the electric automobile in a preset proportion, the driving is considered to have certain risk, if the automobile is not charged, the automobile can be stopped on a half road, and a vehicle group is timely reminded, so that the automobile can be charged or continuously driven according to the actual condition; according to the invention, the kilometer number and time for continuous driving can be calculated, and the voice broadcasting module can be used for broadcasting, so that a user is reminded of charging in time.
Additional features and advantages of the invention will be set forth in the detailed description which follows.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
fig. 1 is a flowchart illustrating a charging reminding method for an electric vehicle according to the present invention;
FIG. 2 is a flow chart of a specific embodiment of S103 of FIG. 1;
FIG. 3 is a flow diagram of a specific embodiment of S202 in FIG. 2; and
fig. 4 is a block diagram of a charging reminder system for an electric vehicle according to the present invention.
Detailed Description
The following detailed description of embodiments of the invention refers to the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating the present invention, are given by way of illustration and explanation only, not limitation.
Fig. 1 is a flowchart of a charging reminding method for an electric vehicle according to the present invention, and as shown in fig. 1, the charging reminding method for an electric vehicle includes:
s101, acquiring the residual electric quantity of a battery of the electric automobile; the remaining capacity of the battery may be a remaining percentage or a remaining total power, and is considered as the remaining percentage for convenience of description in the present invention.
S102, when the residual electric quantity is lower than a preset electric quantity threshold value and the electric automobile runs for more than preset time in a start-stop period, acquiring a current running route and a current time point of the electric automobile in the start-stop period; the starting and stopping period is an opening or closing period which is an electronic ignition period, the preset time can be designed to be 10min, and the current driving route and the current time point are acquired when the driving time exceeds 10 min.
S103, determining a future expected driving route of the electric automobile based on the current driving route and the current time point, and acquiring road condition information of the expected driving route;
s104, acquiring the electric quantity use condition of the electric automobile in the start-stop period; the electricity usage condition of the invention is electricity at the starting time and electricity at the finishing time, and finally the electricity usage in the whole process is obtained. The power of the invention is obtained from a battery management system.
And S105, determining the estimated consumed electric quantity of the electric automobile based on the expected driving route, the road condition information of the expected driving route and the electric quantity use condition. In the navigation process, the road condition of the expected driving route is determined, the current electric quantity use condition of the automobile is taken as a reference, the distance that the automobile probably can still drive is comprehensively considered, and when congestion occurs, the driving distance can be naturally reduced.
And S106, controlling the electric automobile to execute electric quantity early warning when the estimated power consumption is smaller than the residual electric quantity of the battery of the electric automobile in a preset proportion. The preset proportion may be 80%, that is, the current amount of power does not satisfy 125% of the amount of power used by the user to reach the destination, and it is considered that the amount of power may be insufficient and the charging needs to be continued.
Preferably, as shown in fig. 2, the determining the future expected driving route of the electric vehicle based on the current driven route and the current time point includes:
s201, obtaining historical driving data of the electric automobile, wherein the historical driving data comprises: historical time points, historical travel routes within a preset range of time points. Wherein the preset range may be within 1h before and after. This applies to commutes or fixed travel routes.
S202, determining the current driving route and an expected driving route corresponding to the current time point based on the historical driving data. As described above, based on the historical travel data, it is possible to reflect the historical travel condition of the automobile.
Preferably, as shown in fig. 3, the determining the current traveled route and the expected travel route corresponding to the current time point based on the historical travel data includes:
s301, judging whether a historical driving route in a preset range of the current time point is matched with the current driving route in the historical driving data;
and S302, if the current driving route exists, directly taking the route which is left by dividing the current driving part in the historical driving route as the expected driving route. For example, if a route from a to b exists at 10 points and the occupancy ratio thereof is high, it is considered that the route matches the route direction of the currently traveled portion, which can be continuously predicted as the expected travel route of the route at 10 points of the current time. Similarly, every day on duty, this route can be estimated from historical frequently used routes.
Preferably, the determining the current traveled route and the expected travel route corresponding to the current time point based on the historical travel data further comprises:
if the historical driving route in the preset range of the current time point does not exist, continuously judging whether the historical driving route is matched with the current driving route at other time points or not; and secondly, the possible working time is adjusted, and the destination to which the vehicle runs can be judged according to other time points.
And if the historical driving routes at other time points are matched with the current driving route, taking the remaining route of the historical driving routes at other time points except the current driving route as an expected driving route.
Preferably, if there is no historical travel route at another time point matching the current travel route, destination request information is sent to a user of the electric vehicle, a travel route of a destination is searched after the address information of the user is received, and the searched travel route is used as an expected travel route. As described above, when it is not sensed in what direction the vehicle is going to travel, the user is asked after 10min to determine the travel direction, thereby achieving the acquisition of the expected travel route, and then proceeding with the subsequent operation.
In addition, as shown in fig. 4, the present invention further provides a charging reminding system for an electric vehicle, including:
the electric quantity obtaining unit is used for obtaining the residual electric quantity of a battery of the electric automobile;
the information acquisition unit is used for acquiring a current driving route and a current time point of the electric automobile in a start-stop period when the residual electric quantity is lower than a preset electric quantity threshold value and the electric automobile is driven for more than preset time in the start-stop period;
the route and road condition determining unit is used for determining a future expected driving route of the electric automobile based on the current driving route and the current time point and acquiring road condition information of the expected driving route;
the electric quantity use condition acquisition unit is used for acquiring the electric quantity use condition of the electric automobile in the start-stop period;
the estimated loss determining unit is used for determining the estimated loss electric quantity of the electric automobile based on the expected driving route, the road condition information of the expected driving route and the electric quantity use condition; and
and the early warning control unit is used for controlling the electric automobile to execute electric quantity early warning when the estimated power consumption is smaller than the residual electric quantity of the battery of the electric automobile in a preset proportion.
Preferably, the route and road condition determining unit for determining the future expected driving route of the electric vehicle based on the current driving route and the current time point comprises:
a historical data acquisition module for acquiring historical driving data of the electric vehicle, wherein the historical driving data comprises: historical time points, historical driving routes within a preset range of the time points; and
and the route determining module is used for determining the current driving route and an expected driving route corresponding to the current time point based on the historical driving data.
Preferably, the route determination module comprises:
the route judgment submodule is used for judging whether the historical driving route in the preset range of the current time point in the historical driving data is matched with the current driving route;
and the route determining submodule is used for directly taking the route which is left by dividing the current driving part in the historical driving route as the expected driving route if the route exists.
Compared with the prior art, the charging reminding system of the electric automobile has the same distinguishing technical characteristics and technical effects as the charging reminding method of the electric automobile, and is not repeated herein.
In addition, the invention designs a battery pack module, an electric quantity detector, a main controller and a voice broadcasting module in order to realize the functions. The battery pack module provides electric quantity for the electric automobile; the electric quantity detector detects the electric quantity of the battery pack module every 30 minutes and transmits the detected electric quantity value to the main controller; the main controller calculates the kilometer number and time for continuous driving through the transmitted electric quantity value; the voice broadcasting module broadcasts kilometers and time for continuous driving, wherein the main controller adopts an FPGA chip; the electric quantity detection adopts a model HT46R63 microcontroller to detect the electric quantity of the battery pack, and because the electric quantity of the battery pack cannot be obtained by directly measuring the voltages at two ends of the battery pack, resistors with proper sizes are firstly connected in parallel at two ends of the battery, and then an analog-to-digital function is realized in the HT46R63 microcontroller, and the measured analog voltage is converted into corresponding digital voltage to be transmitted to the main controller. The voice broadcaster module is a TTS Chinese to voice module; HT46R63 microcontroller detects group battery analog voltage, converts into the word volume through 46R63 microcontroller analog-to-digital conversion and conveys for main control unit, and main control unit can continue driving kilometer and time through data processing, reports through reporting the module.
The embodiment of the invention provides a storage medium, wherein a program is stored on the storage medium, and the program realizes the charging reminding method of the electric automobile when being executed by a processor.
The embodiment of the invention provides a processor, which is used for running a program, wherein the program executes a charging reminding method of an electric automobile when running.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). The memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that 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 the process, method, article, or apparatus that comprises the element.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.

Claims (10)

1. The charging reminding method of the electric automobile is characterized by comprising the following steps:
acquiring the residual electric quantity of a battery of the electric automobile;
when the residual electric quantity is lower than a preset electric quantity threshold value and the electric automobile runs for more than preset time in a start-stop period, acquiring a current running route and a current time point of the electric automobile in the start-stop period;
determining a future expected driving route of the electric automobile based on the current driving route and the current time point, and acquiring road condition information of the expected driving route;
acquiring the electric quantity use condition of the electric automobile in the start-stop period;
determining the estimated power consumption of the electric vehicle based on the expected driving route, the road condition information of the expected driving route and the power usage; and
and when the estimated power consumption is smaller than the residual power of the battery of the electric automobile in a preset proportion, controlling the electric automobile to execute power early warning.
2. The charging reminding method for the electric vehicle according to claim 1, wherein the determining the future expected driving route of the electric vehicle based on the current driving route and the current time point comprises:
acquiring historical driving data of the electric automobile, wherein the historical driving data comprises: historical time points, historical driving routes within a preset range of the time points; and
determining an expected travel route corresponding to the current traveled route and the current time point based on the historical travel data.
3. The charging reminding method for electric vehicles according to claim 2, wherein the determining the current traveled route and the expected travel route corresponding to the current time point based on the historical travel data comprises:
judging whether a historical driving route in a preset range of the current time point is matched with the current driving route in the historical driving data;
if the current driving route exists, the route left by dividing the current driving part in the historical driving route is directly used as the expected driving route.
4. The charging reminding method for electric vehicles according to claim 3, wherein the determining the current traveled route and the expected travel route corresponding to the current time point based on the historical travel data further comprises:
if the historical driving route in the preset range of the current time point does not exist, continuously judging whether the historical driving route is matched with the current driving route at other time points or not;
and if the historical driving routes at other time points are matched with the current driving route, taking the remaining route of the historical driving routes at other time points except the current driving route as an expected driving route.
5. The charging reminding method of an electric vehicle according to claim 4, wherein if there is no historical travel route at another time point matching the current travel route, sending destination request information to the user of the electric vehicle, searching for a travel route to the destination after receiving the address information of the user, and using the searched travel route as the expected travel route.
6. The utility model provides an electric automobile's warning system that charges which characterized in that, electric automobile's warning system that charges includes:
the electric quantity obtaining unit is used for obtaining the residual electric quantity of a battery of the electric automobile;
the information acquisition unit is used for acquiring a current driving route and a current time point of the electric automobile in a start-stop period when the residual electric quantity is lower than a preset electric quantity threshold value and the electric automobile is driven for more than preset time in the start-stop period;
the route and road condition determining unit is used for determining a future expected driving route of the electric automobile based on the current driving route and the current time point and acquiring road condition information of the expected driving route;
the electric quantity use condition acquisition unit is used for acquiring the electric quantity use condition of the electric automobile in the start-stop period;
the estimated loss determining unit is used for determining the estimated loss electric quantity of the electric automobile based on the expected driving route, the road condition information of the expected driving route and the electric quantity use condition; and
and the early warning control unit is used for controlling the electric automobile to execute electric quantity early warning when the estimated power consumption is smaller than the residual electric quantity of the battery of the electric automobile in a preset proportion.
7. The charging reminding system of an electric vehicle according to claim 6, wherein the route and road condition determining unit is configured to determine the future expected driving route of the electric vehicle based on the current driving route and the current time point, and comprises:
a historical data acquisition module for acquiring historical driving data of the electric vehicle, wherein the historical driving data comprises: historical time points, historical driving routes within a preset range of the time points; and
and the route determining module is used for determining the current driving route and an expected driving route corresponding to the current time point based on the historical driving data.
8. The charging reminder system of an electric vehicle according to claim 7, wherein the route determination module includes:
the route judgment submodule is used for judging whether the historical driving route in the preset range of the current time point in the historical driving data is matched with the current driving route;
and the route determining submodule is used for directly taking the route which is left by dividing the current driving part in the historical driving route as the expected driving route if the route exists.
9. A storage medium having a program stored thereon, the program, when executed by a processor, implementing the charging alert method for an electric vehicle according to any one of claims 1 to 5.
10. A processor for executing a program, wherein the program executes the charging reminding method for an electric vehicle according to any one of claims 1 to 5.
CN202110773994.0A 2021-07-08 2021-07-08 Charging reminding method and system for electric automobile Withdrawn CN113276728A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115366686A (en) * 2022-09-27 2022-11-22 上汽通用五菱汽车股份有限公司 Vehicle electric quantity early warning method, device, equipment and storage medium
CN115588242A (en) * 2022-12-09 2023-01-10 中安芯界控股集团有限公司 Energy storage battery testing system and method based on Internet of things

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115366686A (en) * 2022-09-27 2022-11-22 上汽通用五菱汽车股份有限公司 Vehicle electric quantity early warning method, device, equipment and storage medium
CN115588242A (en) * 2022-12-09 2023-01-10 中安芯界控股集团有限公司 Energy storage battery testing system and method based on Internet of things
CN115588242B (en) * 2022-12-09 2023-03-14 中安芯界控股集团有限公司 Energy storage battery testing system and method based on Internet of things

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Application publication date: 20210820