CN118816925A - An electric vehicle intelligent charging control method and related equipment - Google Patents
An electric vehicle intelligent charging control method and related equipment Download PDFInfo
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- CN118816925A CN118816925A CN202410829147.5A CN202410829147A CN118816925A CN 118816925 A CN118816925 A CN 118816925A CN 202410829147 A CN202410829147 A CN 202410829147A CN 118816925 A CN118816925 A CN 118816925A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
- G01C21/34—Route searching; Route guidance
- G01C21/3453—Special cost functions, i.e. other than distance or default speed limit of road segments
- G01C21/3469—Fuel consumption; Energy use; Emission aspects
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L53/00—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
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- 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
- Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02T90/10—Technologies relating to charging of electric vehicles
- Y02T90/12—Electric charging stations
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Abstract
本申请公开了一种电动车智能充电控制方法及相关设备，涉及车辆充电控制领域，该方法包括：获取目标电动车的剩余续航里程信息；在上述剩余续航里程信息小于预设阈值的情况下，获取上述剩余续航里程信息对应的范围内的目标充电桩的位置信息，其中，上述目标充电桩包括营业充电桩和非营业充电桩；将上述目标充电桩的位置信息展示给目标用户，以获取目标用户的充电桩选择信息；基于上述目标用户的充电桩选择信息为上述目标电动车提供导航路线。
The present application discloses an intelligent charging control method for electric vehicles and related equipment, and relates to the field of vehicle charging control. The method comprises: obtaining the remaining cruising range information of a target electric vehicle; when the remaining cruising range information is less than a preset threshold, obtaining the location information of a target charging pile within a range corresponding to the remaining cruising range information, wherein the target charging pile comprises an operating charging pile and a non-operating charging pile; displaying the location information of the target charging pile to a target user to obtain the charging pile selection information of the target user; and providing a navigation route for the target electric vehicle based on the charging pile selection information of the target user.
Description
Technical Field
The present disclosure relates to the field of vehicle charging control, and more particularly, to an intelligent charging control method for an electric vehicle and related devices.
Background
With the continuous increase of the driving range of the electric automobile, the application of the electric automobile is not limited to urban commute, but is expanded to urban chains and urban circles which are connected by expressways. Under the current technical condition, even if a quick charge mode is adopted, the time required for charging the power battery of the electric automobile is still far longer than the oiling process of the gasoline automobile, and the mileage and energy supplementing time consumption anxiety brought by the electric automobile trip becomes a great pain point of the owner of the electric automobile. At present, the accuracy of the position planning of the charging pile in the navigation path is not high, so that the charging planning is not proper, the user journey is delayed, and the driving experience of the user is influenced.
The existing solutions mainly focus on reading the vehicle endurance information every other period to determine whether the vehicle needs to be started for charging or not. Or synchronously reading the parking position information of the vehicle and the available business charging piles (shared data) with the nearest parking points in the intelligent navigation system of the vehicle, and giving recommended navigation route suggestions for driving to the candidate charging disabled position at the current position.
However, the existing scheme has several problems, so that the experience of the intelligent energy supplementing system of the new energy vehicle is not satisfactory. The related art only obtains the current position of the vehicle and the nearby charging pile position information every preset time, but does not judge whether the current state and the parked position of the vehicle have available private piles or non-business charging piles. In addition, when the vehicle is stopped at a position with non-business charging conditions, no further reminding and assistance are provided.
In order to solve at least some of the above problems, it is desirable to provide a more intelligent electric vehicle charging control method.
Disclosure of Invention
In the summary, a series of concepts in a simplified form are introduced, which will be further described in detail in the detailed description. The summary of the application is not intended to define the key features and essential features of the claimed subject matter, nor is it intended to be used as an aid in determining the scope of the claimed subject matter.
In a first aspect, the present application provides an intelligent charging control method for an electric vehicle, including:
obtaining the remaining endurance mileage information of the target electric vehicle;
Under the condition that the remaining range information is smaller than a preset threshold value, acquiring position information of a target charging pile in a range corresponding to the remaining range information, wherein the target charging pile comprises a business charging pile and a non-business charging pile;
Displaying the position information of the target charging pile to a target user so as to acquire charging pile selection information of the target user;
and providing a navigation route for the target electric vehicle based on the charging pile selection information of the target user.
In a possible embodiment, the method further includes:
Acquiring historical authentication information of the target electric vehicle and the selected non-business charging pile under the condition that the charging pile selection information of the target user is the non-business charging pile;
transmitting charging request information to the non-business charging pile under the condition that the historical authentication information does not exist;
and under the condition of receiving the charging permission feedback information, generating a navigation route of the non-business charging pile.
In one possible embodiment, the above-described charge request information includes an estimated arrival time, an estimated charge duration, and an ideal charge fee.
In a possible embodiment, the method further includes:
Acquiring a charging period allowed to borrow by each non-business charging pile;
obtaining the estimated arrival time of the target electric vehicle to each non-business charging pile;
And displaying the position information of the non-business charging pile of the borrowing-allowed charging time period to the target user.
In a possible embodiment, the method further includes:
Determining the estimated charging time length and the overlapping time length of the charging period allowed to borrow by the non-business charging pile;
Calculating the subsequent mileage of the first charge based on the overlapping time length;
acquiring secondary pile position information in a range corresponding to the first charging subsequent mileage;
And simultaneously displaying the secondary pile position information to the target user while displaying the position information of the target charging pile to the target user so as to acquire charging pile selection information of the target user for twice combined charging.
In a possible embodiment, the method further includes:
acquiring the current driving accumulated time length of a target user;
and determining the recommendation information of the charging piles charged by the two combinations based on the current driving accumulated time length so as to enable the target user to acquire scientific rest interval time length.
In a possible embodiment, the method further includes:
acquiring running state information of a vehicle, wherein the running state information comprises a navigation form state, a non-navigation form state and a stop state;
determining a display mode based on the running state information;
and providing a navigation route for the target electric vehicle based on the display mode and the charging pile selection information of the target user.
The second aspect, the present application proposes an intelligent charging control device for an electric vehicle, including:
The first acquisition unit is used for acquiring the remaining endurance mileage information of the target electric vehicle;
The second obtaining unit is used for obtaining the position information of the target charging pile in the range corresponding to the residual range information under the condition that the residual range information is smaller than a preset threshold, wherein the target charging pile comprises a business charging pile and a non-business charging pile;
the third acquisition unit is used for displaying the position information of the target charging pile to a target user so as to acquire charging pile selection information of the target user;
And the navigation unit is used for providing a navigation route for the target electric vehicle based on the charging pile selection information of the target user.
In a third aspect, an electronic device, comprising: the intelligent charging control method for the electric vehicle comprises a memory, a processor and a computer program stored in the memory and capable of running on the processor, wherein the processor is used for realizing the steps of the intelligent charging control method for the electric vehicle according to any one of the first aspect when executing the computer program stored in the memory.
In a fourth aspect, the present application also proposes a computer-readable storage medium, on which a computer program is stored, which when executed by a processor implements the intelligent charging control method of an electric vehicle according to any one of the first aspects.
In summary, the intelligent charging control method for the electric vehicle provided by the embodiment of the application comprises the following steps: obtaining the remaining endurance mileage information of the target electric vehicle; under the condition that the remaining range information is smaller than a preset threshold value, acquiring position information of a target charging pile in a range corresponding to the remaining range information, wherein the target charging pile comprises a business charging pile and a non-business charging pile; displaying the position information of the target charging pile to a target user so as to acquire charging pile selection information of the target user; and providing a navigation route for the target electric vehicle based on the charging pile selection information of the target user. The method provided by the application provides choices for the user by intelligently analyzing the current position of the user and the reachable charging piles (including business charging piles and non-business charging piles), and ensures that the nearest charging options can be found even in emergency. Compared with the prior art, the system has the advantages that the customization is realized, and the charging station information can be provided according to the specific requirements and actual conditions of the user. By providing detailed charging pile information (such as distance, charging speed, charging pile state and the like) for the user and an optimal navigation route based on real-time traffic conditions, the driving experience of the user is remarkably improved. The user can select the most suitable charging pile according to personal preference and reach through the fastest route, thereby effectively reducing anxiety and time waste in the journey. Compared with the traditional scheme, the method and the device have the advantages that the state of the vehicle is monitored within the preset time, whether the position of the vehicle is close to the non-business charging pile can be judged, and further reminding and assistance are provided when the parking position is provided with the non-business charging condition. The intelligent and comprehensive improvement ensures that the intelligent energy supplementing system experience of the new energy vehicle is more optimized. In summary, the present application provides an omnibearing solution, which aims to solve the problems of the electric vehicle in terms of charging strategy, path planning and user experience, and improves the use efficiency of the electric vehicle and the driving satisfaction of the user through a more intelligent and flexible control system.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the specification. Also, like reference numerals are used to designate like parts throughout the figures. In the drawings:
Fig. 1 is a schematic flow chart of an intelligent charging control method for an electric vehicle according to an embodiment of the present application;
Fig. 2 is a schematic structural diagram of an intelligent charging control device for an electric vehicle according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of an intelligent charging control electronic device for an electric vehicle according to an embodiment of the present application.
Detailed Description
The terms "first," "second," "third," "fourth" and the like in the description and in the claims and in the above drawings, if any, are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments described herein may be implemented in other sequences than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus. The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments.
Referring to fig. 1, a schematic flow chart of an intelligent charging control method for an electric vehicle according to an embodiment of the application may specifically include:
S110, acquiring the remaining endurance mileage information of the target electric vehicle;
By way of example, the battery charge of the electric vehicle is monitored in real time and the remaining range is calculated, and the remaining range information can be obtained through a Battery Management System (BMS) of the electric vehicle, which can accurately display the current state of the battery and estimate the distance that can be travelled.
S120, under the condition that the residual range information is smaller than a preset threshold value, acquiring the position information of a target charging pile in a range corresponding to the residual range information, wherein the target charging pile comprises a business charging pile and a non-business charging pile;
For example, when the system detects that the remaining range is below a preset safety threshold, it automatically triggers a search for nearby charging piles. This includes two types of charging piles: business charging pile: commercial charging stations open to the outside are typically equipped with a quick charge facility. The non-business charging pile can be an internal non-external non-business charging pile of an enterprise or a privately installed charging pile, but can be considered to be used in emergency. The system determines the range of the charging piles that the user can reach based on the current position and the remaining range, and obtains specific position information of the charging piles.
S130, displaying the position information of the target charging pile to a target user so as to acquire charging pile selection information of the target user;
illustratively, the screened charging pile information is displayed to the user, and is usually realized through a vehicle-mounted display screen or an associated smart phone application. The presentation may include information on the distance, type (fast charge or slow charge), operational status (available) of the charging stake, etc. The user may make a selection based on this information.
And S140, providing a navigation route for the target electric vehicle based on the charging pile selection information of the target user.
Illustratively, once a user selects a particular charging peg, the system will provide the user with an optimal navigation route so that the user can reach the charging station as soon as possible. The navigation may take into account current traffic conditions, route length, estimated time of arrival, etc., to ensure that the driver can reach the charging stake before the battery is depleted.
It should be noted that: the intelligent charging energy supplementing control system comprises an intelligent charging energy supplementing control system, and the intelligent charging energy supplementing control system is deployed on a central ECU in a vehicle. The intelligent charging energy supplementing control system is started along with the intelligent cabin control system at the background after the vehicle is electrified, and the intelligent charging energy supplementing control system can read the motion state (including speed, acceleration, gear and the like), position information, battery energy consumption, residual electric quantity information and the like of the current vehicle at the background in real time in the use process, so as to comprehensively judge the vehicle state and the next proposal. The intelligent charging energy supplementing control system is adjustable to the threshold value of the vehicle departure energy supplementing early warning, and the vehicle owner can adjust the threshold value between 10% and 30% according to personal use habits and vehicle environments.
In summary, the method provided by the application provides choices for the user by intelligently analyzing the current position of the user and the reachable charging piles (including business charging piles and non-business charging piles), and ensures that the nearest charging option can be found even in emergency. Compared with the prior art, the system has the advantages that the customization is realized, and the charging station information can be provided according to the specific requirements and actual conditions of the user. By providing detailed charging pile information (such as distance, charging speed, charging pile state and the like) for the user and an optimal navigation route based on real-time traffic conditions, the driving experience of the user is remarkably improved. The user can select the most suitable charging pile according to personal preference and reach through the fastest route, thereby effectively reducing anxiety and time waste in the journey. Compared with the traditional scheme, the method and the device have the advantages that the state of the vehicle is monitored within the preset time, whether the position of the vehicle is close to the non-business charging pile can be judged, and further reminding and assistance are provided when the parking position is provided with the non-business charging condition. The intelligent and comprehensive improvement ensures that the intelligent energy supplementing system experience of the new energy vehicle is more optimized. In summary, the present application provides an omnibearing solution to solve the problems of the electric vehicle in terms of charging strategy, path planning and user experience, and improves the use efficiency of the electric vehicle and the driving satisfaction of the user through a more intelligent and flexible control system
In some examples, further comprising:
Acquiring historical authentication information of the target electric vehicle and the selected non-business charging pile under the condition that the charging pile selection information of the target user is the non-business charging pile;
transmitting charging request information to the non-business charging pile under the condition that the historical authentication information does not exist;
and under the condition of receiving the charging permission feedback information, generating a navigation route of the non-business charging pile.
Illustratively, when a target user selects a non-business charging post (such as a charging post in a company or private home) as a charging destination, the system first checks whether there is historical authentication information with the non-business charging post. The historical authentication information refers to whether the user has been previously authorized to use by the charging stake, and is typically stored in the central control unit of the vehicle or in the management system of the charging stake.
If no historical authentication information is found, this may be the first attempt by the user to charge the charging stake or that the previous authorization has been disabled. In this case, the system automatically transmits the charging request information to the charging stake. This request includes data such as identification information of the user's vehicle, the time at which charging is requested, and the amount of charge that may be required. The purpose of this information is to request that the management system of the charging stake authorize the user's vehicle for charging.
After receiving the request, the management system of the charging pile can determine whether to allow charging according to the policy (such as the current use condition, the preset condition and the authorization state of the user) of the charging pile. If the system checks and sends a feedback to the vehicle that charging is allowed, the user's vehicle is given the right to charge at this time.
Once the user obtains feedback information that allows charging, the system then generates a navigational route to the selected non-business charging stake. The navigation system can provide the optimal driving route for the user by considering the current road condition, the distance, the expected arrival time and other factors.
The method provided by the embodiment ensures the effective utilization of the non-business charging pile, and simultaneously protects the benefit and private attribute safety of the charging pile owner and prevents unauthorized use. With such an intelligent control and response system, a user can enjoy convenient and safe charging services even when selecting non-public charging resources.
In some examples, the charge request information includes an estimated time of arrival, an estimated charge duration, and an ideal charge rate.
By way of example, the charge request information generally includes the following key components:
The expected arrival time refers to the time when the user plans to arrive at the charging stake. Providing this information may help a charging station manager or system schedule the use of the charging stake, avoid conflicts, and ensure that sufficient charging resources are available.
The predicted charge duration is a charge time estimated by the user, depending on the current amount of electricity of the electric vehicle and the amount of electricity required to be fully charged. This information helps the charging station manager predict the occupancy time of the charging peg to better schedule subsequent charging needs.
The ideal charge is a charge that the user wishes to pay for the charging service. In some cases, non-business charging posts may consider the cost advice presented by the user, particularly in private charging posts, where the cost may be more negotiated.
Through receiving the charging demand information of the user in advance, the charging station can more effectively arrange the use of the charging pile, avoid resource waste and improve service quality. The information of the expected arrival time and the charging duration is helpful to prevent a plurality of users from arriving at the same charging pile at the same time, so that the waiting time of the users is reduced and the user experience is improved. Knowing in advance the willingness of a user to pay may allow for a fee agreement between the charging station and the user, particularly in private and non-business charging posts.
The embodiment of the application sends the request information through a central control system of the electric vehicle or a smart phone application connected with the vehicle. After the charging pile receives the request, the data can be automatically processed through a software system, such as confirming the availability of the charging pile, adjusting the dispatching of the charging pile and calculating the estimated charging cost.
Not only improves the management efficiency of the non-business charging pile, but also improves the charging experience of users, ensures the economy and convenience of the charging process, and encourages more users to select electric vehicles as daily vehicles.
In some examples, further comprising:
Acquiring a charging period allowed to borrow by each non-business charging pile;
obtaining the estimated arrival time of the target electric vehicle to each non-business charging pile;
And displaying the position information of the non-business charging pile of the borrowing-allowed charging time period to the target user.
Illustratively, first, the system needs to obtain available charging period information for each non-business charging stake. This information is typically set by the owner or manager of the charging stake, specifying when the charging stake can be borrowed outward. For example, a company may only allow non-staff to use its charging facilities during the daytime, while a charging post of a residential area may be open to the outside during the night. By this step it is ensured that the charging request matches the availability of the charging stake holder.
The system calculates the estimated arrival time of the electric vehicle from the current location to each available non-business charging stake. This is typically done by an integrated navigation system, taking into account real-time traffic conditions and possible travel routes. This information is crucial to match the charging needs of the user and the availability of the charging post, ensuring that the user can reach during the opening of the charging post.
The system will show the user non-business charging pile location information that the predicted arrival time meets the allowed borrowing charging period. This is typically done through an in-vehicle display screen or associated smartphone application. The information presented includes the location of the charging post, the expected arrival time, the allowed charging period, and the possible charge rates and charge types (fast charge or slow charge). This step enables the user to make an informed choice of the charging stake that best suits his journey and schedule.
The method provided by the embodiment of the application not only improves the use efficiency of the non-business charging pile, but also increases the convenience and predictability of using the electric vehicle by a user. By intelligently matching the charging time to the user arrival time, this approach reduces the waiting time of the user and potential charging conflicts, optimizing the overall charging experience. Meanwhile, the charging pile owners are better controlled and managed, and the facilities of the charging pile owners can be effectively served outside under the condition that private or enterprise demands are not influenced.
In some examples, further comprising:
Determining the estimated charging time length and the overlapping time length of the charging period allowed to borrow by the non-business charging pile;
Calculating the subsequent mileage of the first charge based on the overlapping time length;
acquiring secondary pile position information in a range corresponding to the first charging subsequent mileage;
And simultaneously displaying the secondary pile position information to the target user while displaying the position information of the target charging pile to the target user so as to acquire charging pile selection information of the target user for twice combined charging.
Illustratively, first, the system needs to determine the duration of overlap between the user's projected charge duration and the charge period available to the non-business charging peg. It is ensured that the user can complete the required charging within the time available for the charging peg. If the projected charge duration exceeds the available time period of the charging peg, the user may need to adjust the charging schedule or find other charging options.
Based on the confirmed overlap duration, the system then calculates a predicted range after the first charge of the electric vehicle. The estimation is based on the battery performance, the charging efficiency, and the charging time of the electric vehicle.
The system searches and acquires the position information of the secondary charging pile in the range according to the predicted range after the first charging. This includes analyzing the map and charging network data to determine all available charging piles within reach of the user.
And simultaneously displaying the position information of the first charging pile and the second charging pile to a user. The user is allowed to select the best combination of two charging posts according to his journey needs and charging strategy. The information presented may include the specific location, type, charging speed, and projected charging cost of the charging stake, etc. Such a presentation helps the user make more informative decisions, ensuring sufficient power throughout the journey and efficient journey.
The method provided by the embodiment can remarkably improve the journey planning efficiency of the electric vehicle user and reduce uncertainty in journey and charge-related anxiety. By accurately calculating the range and intelligently recommending charging stations, a user can more confident plan long distance trips while ensuring that appropriate charging resources are always found when needed. In addition, the scheme also supports a more flexible charging strategy, adapts to the specific requirements and preferences of individual users, and enhances the practicability and the attraction of the electric vehicle.
In some examples, further comprising:
acquiring the current driving accumulated time length of a target user;
and determining the recommendation information of the charging piles charged by the two combinations based on the current driving accumulated time length so as to enable the target user to acquire scientific rest interval time length.
Illustratively, first, the system will monitor and record the cumulative driving time since the user started the vehicle. This may be achieved by a vehicle's travel data management system, typically comprising a timer of travel time. Acquiring the driving cumulative length is critical to assessing the fatigue level of the driver, as long driving can significantly increase the risk of fatigue and distraction.
The system will use the driving cumulative length to determine when to recommend the user to rest and charge. For example, if the user has been driving for several hours (e.g., 3-4 hours) continuously, the system may recommend a charging dock at an approaching charging station for the user to rest and resume. Such recommendations are not only based on charging demands, but also on traffic safety guidelines, such as recommending that the driver rest for at least 15 minutes every 2 hours.
The recommended charging peg will be selected based on the current location of the user, the projected range, and the driving duration. The system may prefer those charging piles that can meet both the charging and rest requirements. Furthermore, if the user's trip plan allows, the system may also recommend a slightly more remote charging peg in order to get enough driving time for the user before arrival, so that the necessary rest is also obtained when the second charging takes place.
The method provided by the embodiment of the application can ensure that the driver obtains proper rest in long-distance driving, and reduce the accident risk caused by fatigue driving. Meanwhile, reasonable rest and charging arrangement can optimize the endurance performance of the electric vehicle, and the travel interruption caused by insufficient electric quantity is reduced. Finally, the method comprehensively considering the driving duration and the charging requirement not only improves the driving safety, but also enhances the driving comfort and the overall driving experience.
In some examples, further comprising:
acquiring running state information of a vehicle, wherein the running state information comprises a navigation form state, a non-navigation form state and a stop state;
determining a display mode based on the running state information;
and providing a navigation route for the target electric vehicle based on the display mode and the charging pile selection information of the target user.
For example, when the vehicle is currently in a driving state and in a navigation state, the intelligent charging energy compensation control system comprehensively analyzes whether a possible predicted range under the condition of the residual electric quantity can cover the residual navigation range, and synchronously analyzes the distance between an energy compensation point near the navigation destination and the navigation destination. If the remaining endurance mileage (remaining navigation mileage+distance between the energy compensating point near the navigation destination and the navigation destination) ×μ (μ is a safety factor, generally set between 1.1 and 1.3, to prevent insufficient safety margin from being determined due to traffic congestion or other reasons), the current trip is determined to be in a safe and acceptable state. The intelligent charging energy supplementing control system can give out energy supplementing early warning information on a navigation interface, and the early warning information resides in the background when a driver or a passenger gives feedback (clicking or voice).
When the vehicle is in a running state and in a navigation state currently, the intelligent charging energy supplementing control system comprehensively analyzes whether a possible predicted endurance mileage under the condition of the residual electric quantity can cover the residual navigation mileage, and synchronously analyzes the distance between an energy supplementing point near a navigation destination and the navigation destination. And if the predicted remaining endurance mileage is less than or equal to (the remaining navigation mileage plus the distance between the energy supplementing point near the navigation destination and the navigation destination), μ (μ is a safety factor, generally set between 1.1 and 1.3, and the safety margin is prevented from being insufficient due to traffic jam or other reasons), judging that the current travel is in an unacceptable state. The intelligent charging energy supplementing control system can continuously give out the energy supplementing early warning information on the navigation interface, and meanwhile, the intelligent charging energy supplementing control system can keep the current navigation route to the maximum extent and give out new navigation route proposal of midway energy supplementing based on the current navigation map display route and all potential energy supplementing points near the route. When the new navigation route is accepted by the feedback (clicking or voice) of the driver or the passenger, the intelligent charging energy supplementing control system replaces the current navigation route by a recommended new navigation scheme; when the new navigation route is refused by feedback (clicking or voice) of a driver or a passenger, the intelligent charging energy supplementing control system can continuously give out energy supplementing early warning information on the current navigation page.
When the vehicle is currently in a driving state but is not in a navigation state (i.e. the destination is unknown), the intelligent charging energy supplementing control system can read the current position of the vehicle in real time and give a route proposal starting to the nearest energy supplementing point. The recommended route solution may change in real time as the location at which the vehicle is traveling changes. The intelligent charging energy supplementing control system can continuously display the recommended route scheme on the central control large screen in a mode of early warning information. When the recommended navigation route is accepted by the feedback (clicking or voice) of the driver or the passenger, the intelligent charging energy supplementing control system takes the recommended navigation scheme as the navigation route until the vehicle runs to an energy supplementing destination; when the recommended navigation route is refused by feedback (clicking or voice) of a driver or a passenger, the intelligent charging energy supplementing control system can continuously give out energy supplementing early warning information on the current navigation page.
When the vehicle is in a stop state currently, the intelligent charging energy-supplementing control system reads the current position of the vehicle in real time and information of the position of a business charging pile database and a non-business charging pile (such as an internal non-external non-business charging pile of an enterprise and public institution or a privately installed charging pile) provided by a map provider in a background database, and if the current position (parking position, such as a parking space) is judged to have a charging energy-supplementing condition, the intelligent charging energy-supplementing control system judges that charging is needed and actively inquires a driver whether the charging is needed? When a driver confirms with voice or clicking, the intelligent charging energy supplementing control system sends an opening instruction to the charging port cover through the ECU to control the opening of the charging port cover; when the driver is not in voice or clicking, the program exits and gives a residual electric quantity shortage reminding.
When the vehicle is in a stop state currently, the intelligent charging energy supplementing control system can read the current position of the vehicle in real time and information of the positions of the business charging pile database and the non-business charging pile (such as the internal non-external non-business charging pile of an enterprise and public institution or the charging pile which is arranged in a private way) provided by a map provider in a background database, and if the current position (parking position such as a parking space) is judged not to have a charging energy supplementing condition, the intelligent charging energy supplementing control system can give an optimal charging navigation route recommendation based on the current position, and a recommended route scheme is continuously displayed on a central control large screen in a mode of driving with early warning information. When the recommended navigation route is accepted by the feedback (clicking or voice) of the driver or the passenger, the intelligent charging energy supplementing control system takes the recommended navigation scheme as the navigation route until the vehicle runs to an energy supplementing destination; when the recommended navigation route is refused by feedback (clicking or voice) of a driver or a passenger, the intelligent charging energy supplementing control system can continuously give out energy supplementing early warning information on the current navigation page.
As shown in fig. 2, the present application provides an intelligent charging control device for an electric vehicle, including:
A first acquiring unit 21, configured to acquire remaining range information of a target electric vehicle;
a second obtaining unit 22, configured to obtain, if the remaining range information is less than a preset threshold, location information of a target charging pile in a range corresponding to the remaining range information, where the target charging pile includes a business charging pile and a non-business charging pile;
A third obtaining unit 23, configured to display the position information of the target charging pile to a target user, so as to obtain charging pile selection information of the target user;
And a navigation unit 24 for providing a navigation route for the target electric vehicle based on the charging pile selection information of the target user.
In some examples, further comprising:
Acquiring historical authentication information of the target electric vehicle and the selected non-business charging pile under the condition that the charging pile selection information of the target user is the non-business charging pile;
transmitting charging request information to the non-business charging pile under the condition that the historical authentication information does not exist;
and under the condition of receiving the charging permission feedback information, generating a navigation route of the non-business charging pile.
In some examples, the charge request information includes an estimated time of arrival, an estimated charge duration, and an ideal charge rate.
In some examples, further comprising:
Acquiring a charging period allowed to borrow by each non-business charging pile;
obtaining the estimated arrival time of the target electric vehicle to each non-business charging pile;
And displaying the position information of the non-business charging pile of the borrowing-allowed charging time period to the target user.
In some examples, further comprising:
Determining the estimated charging time length and the overlapping time length of the charging period allowed to borrow by the non-business charging pile;
Calculating the subsequent mileage of the first charge based on the overlapping time length;
acquiring secondary pile position information in a range corresponding to the first charging subsequent mileage;
And simultaneously displaying the secondary pile position information to the target user while displaying the position information of the target charging pile to the target user so as to acquire charging pile selection information of the target user for twice combined charging.
In some examples, further comprising:
acquiring the current driving accumulated time length of a target user;
and determining the recommendation information of the charging piles charged by the two combinations based on the current driving accumulated time length so as to enable the target user to acquire scientific rest interval time length.
In some examples, further comprising:
acquiring running state information of a vehicle, wherein the running state information comprises a navigation form state, a non-navigation form state and a stop state;
determining a display mode based on the running state information;
and providing a navigation route for the target electric vehicle based on the display mode and the charging pile selection information of the target user.
As shown in fig. 3, the embodiment of the present application further provides an electronic device 300, which includes a memory 310, a processor 320, and a computer program 311 stored in the memory 310 and capable of running on the processor, wherein the processor 320 implements any one of the steps of the above-mentioned intelligent charging control method for the electric vehicle when executing the computer program 311.
Since the electronic device described in this embodiment is a device for implementing the intelligent charging control device for an electric vehicle in this embodiment of the present application, based on the method described in this embodiment of the present application, those skilled in the art can understand the specific implementation of the electronic device in this embodiment and various modifications thereof, so how the electronic device implements the method in this embodiment of the present application will not be described in detail herein, and only those devices employed by those skilled in the art for implementing the method in this embodiment of the present application are within the scope of the present application to be protected.
In a specific implementation, the computer program 311 may implement any of the embodiments corresponding to fig. 1 when executed by a processor.
In the foregoing embodiments, the descriptions of the embodiments are focused on, and for those portions of one embodiment that are not described in detail, reference may be made to the related descriptions of other embodiments.
It will be appreciated by those skilled in the art that 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 flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations 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 computer, 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.
The embodiment of the application also provides a computer program product, which comprises computer software instructions, wherein the computer software instructions, when running on the processing equipment, cause the processing equipment to execute the intelligent charging control flow of the electric vehicle in the corresponding embodiment.
The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the processes or functions in accordance with embodiments of the present application are produced in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by a wired (e.g., coaxial cable, fiber optic, digital subscriber line (digital subscriber line, DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). Computer readable storage media can be any available media that can be stored by a computer or data storage devices such as servers, data centers, etc. that contain an integration of one or more available media. Usable media may be magnetic media (e.g., floppy disks, hard disks, magnetic tape), optical media (e.g., DVD), or semiconductor media (e.g., solid State Disk (SSD)) or the like.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, which are not repeated herein.
In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices, and methods may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of elements is merely a logical functional division, and there may be additional divisions of actual implementation, e.g., multiple elements or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be embodied in essence or a part contributing to the prior art or all or part of the technical solution in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods of the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The above embodiments are only for illustrating the technical solution of the present application, and are not limiting; although the application has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present application.
Claims (10)
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| CN202410829147.5A CN118816925A (en) | 2024-06-25 | 2024-06-25 | An electric vehicle intelligent charging control method and related equipment |
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| CN202410829147.5A CN118816925A (en) | 2024-06-25 | 2024-06-25 | An electric vehicle intelligent charging control method and related equipment |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN119919093A (en) * | 2025-02-11 | 2025-05-02 | 江苏中碳能投环境服务集团有限公司 | A charging and swapping intelligent operation and maintenance method, system and storage medium |
| CN120422681A (en) * | 2025-07-07 | 2025-08-05 | 国网浙江省电力有限公司泰顺县供电公司 | Intelligent charging and data processing method for electric automobile |
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- 2024-06-25 CN CN202410829147.5A patent/CN118816925A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN119919093A (en) * | 2025-02-11 | 2025-05-02 | 江苏中碳能投环境服务集团有限公司 | A charging and swapping intelligent operation and maintenance method, system and storage medium |
| CN120422681A (en) * | 2025-07-07 | 2025-08-05 | 国网浙江省电力有限公司泰顺县供电公司 | Intelligent charging and data processing method for electric automobile |
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