CN113335126B - Intelligent charging control method for new energy automobile, storage medium and electronic equipment - Google Patents
Intelligent charging control method for new energy automobile, storage medium and electronic equipment Download PDFInfo
- Publication number
- CN113335126B CN113335126B CN202110771554.1A CN202110771554A CN113335126B CN 113335126 B CN113335126 B CN 113335126B CN 202110771554 A CN202110771554 A CN 202110771554A CN 113335126 B CN113335126 B CN 113335126B
- Authority
- CN
- China
- Prior art keywords
- charging
- energy consumption
- travel
- determining
- mode
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- 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
- B60L53/60—Monitoring or controlling charging stations
- B60L53/62—Monitoring or controlling charging stations in response to charging parameters, e.g. current, voltage or electrical charge
-
- 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
- B60L53/60—Monitoring or controlling charging stations
- B60L53/66—Data transfer between charging stations and vehicles
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L58/00—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
- B60L58/10—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
- B60L58/12—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries responding to state of charge [SoC]
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/70—Energy storage systems for electromobility, e.g. batteries
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/7072—Electromobility specific charging systems or methods for batteries, ultracapacitors, supercapacitors or double-layer capacitors
-
- 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
-
- 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
- Y02T90/16—Information or communication technologies improving the operation of electric vehicles
Landscapes
- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Transportation (AREA)
- Mechanical Engineering (AREA)
- Life Sciences & Earth Sciences (AREA)
- Sustainable Development (AREA)
- Sustainable Energy (AREA)
- Electric Propulsion And Braking For Vehicles (AREA)
- Charge And Discharge Circuits For Batteries Or The Like (AREA)
Abstract
The application discloses an intelligent charging control method for a new energy automobile, a storage medium and electronic equipment, which are used for acquiring travel information, system settings and load data; determining trip energy consumption according to the trip information, the system settings, and the load data; acquiring the residual electric quantity of the power battery; and judging whether an instant charging demand exists or not according to the travel energy consumption and the residual electric quantity of the power battery, and if so, controlling the vehicle to run to an idle charging potential within a set range for charging according to the current charging mode. The invention can acquire the travel information, the system setting and the load data before the travel is started, determine the travel energy consumption, and control the vehicle to automatically go to the idle charging position for charging according to the charging mode when the power battery has the instant charging requirement, thereby ensuring that each travel has sufficient electric quantity and avoiding the charging of a user in the travel.
Description
Technical Field
The application relates to the technical field of vehicles, in particular to an intelligent charging control method for a new energy automobile, a storage medium and electronic equipment.
Background
With the development and popularization of new energy automobiles, the remaining quantity of the new energy automobiles is continuously increased, and the problem of endurance of the new energy automobiles becomes a problem which is concerned by more users in the past. The user of the new energy automobile always worrys that the electric quantity of the battery cannot meet the mileage requirement of the target trip, and the user cannot guarantee that the battery is fully charged before going out every time, so that the guarantee that the electric quantity of the battery meets the trip requirement of the user becomes an inevitable requirement for further popularization of the new energy automobile.
Electric automobile products launched in the current market can combine navigation information, give the nearest charging information suggestion of driver when battery electric quantity is lower, and through the prediction to the residual capacity and driver driving habit and target place of combining, recommend the best place of charging. Although the mode avoids the battery not having any sound stroke, the emergency function can be realized, and the long-term charging strategy cannot be realized. Therefore, it is desirable to provide an intelligent charging control method for a new energy vehicle, a storage medium and an electronic device, which can make a charging strategy according to a target trip and ensure the requirement of a user for each trip.
Disclosure of Invention
The application aims to overcome the defects that in the prior art, only the electric quantity of a battery is considered in charging prompt, and a user needs to wait for charging in a journey, and provides the intelligent charging control method, the storage medium and the electronic equipment for the new energy automobile, which can make a charging strategy according to a target journey and ensure the journey requirement of the user every time.
The technical scheme of the application provides a new energy automobile intelligent charging control method, including following step:
acquiring travel information, system settings and load data;
determining trip energy consumption based on the trip information, the system settings, and the load data;
acquiring the residual electric quantity of the power battery;
judging whether an instant charging requirement exists according to the travel energy consumption and the residual electric quantity of the power battery, and if so, judging whether the instant charging requirement exists
And controlling the vehicle to run to an idle charging potential within a set range for charging according to the current charging mode.
Further, the judging whether there is an instant charging demand according to the travel energy consumption and the residual electric quantity of the power battery specifically includes:
if the residual electric quantity of the power battery is less than the full electric quantity of the power battery, and
if the residual electric quantity of the power battery is less than or equal to the travel energy consumption
An immediate charging requirement is considered.
Further, the intelligent charging control method for the new energy automobile further comprises the following steps:
if the travel energy consumption is larger than or equal to the full electricity quantity of the power battery, the power battery is charged
And determining a secondary charging plan according to the travel information, wherein the secondary charging plan comprises a charging place and a charging time.
Further, the intelligent charging control method for the new energy automobile further comprises the following steps:
if the residual electric quantity of the power battery is less than the full electric quantity of the power battery, and
if the residual electric quantity of the power battery is greater than the travel energy consumption
Sending charging requirement selection to the user, and if receiving a charging instruction, then
And controlling the vehicle to run to an idle charging potential within a set range for charging according to the current charging mode.
Further, the control vehicle drives to the idle charge potential in the settlement scope and charges, specifically includes:
acquiring charging system information within a set range, and if an idle charging potential exists within the set range, controlling the vehicle to drive to the nearest idle charging potential for charging;
otherwise, the charging system information in the set range is obtained at the set frequency until the idle charging potential is captured, and the vehicle is controlled to run to the idle charging potential for charging.
Further, the travel information comprises departure time and driving routes, the system settings comprise a driving mode, an energy recovery mode and an air conditioning setting, and the load data comprises the number of passengers and the weight of the load;
determining the trip energy consumption according to the trip information, the system settings and the load data specifically comprises:
determining basic energy consumption according to a driving route, a driving mode and an energy recovery mode;
determining air conditioner energy consumption according to the departure time, the driving route and the air conditioner setting;
determining load energy consumption according to the driving route, the number of passengers and the load weight;
and determining the sum of the base energy consumption, the air conditioner energy consumption and the load energy consumption as the journey energy consumption.
Further, the determining the basic energy consumption according to the driving route, the driving mode and the energy recovery mode specifically includes:
dividing driving road conditions according to driving routes, wherein the driving road conditions comprise driving road conditions and mileage corresponding to each driving road condition;
determining a basic energy consumption rate corresponding to each driving road condition according to a driving mode and an energy recovery mode;
determining energy consumption corresponding to each driving road condition according to the mileage of each driving road condition and the corresponding basic energy consumption rate;
and adding the energy consumptions corresponding to all the driving road conditions to calculate the basic energy consumption.
Further, the determining of the energy consumption of the air conditioner according to the departure time, the driving route and the setting of the air conditioner specifically includes:
determining the predicted working time of the air conditioner according to the departure time and the driving route;
and determining the energy consumption of the air conditioner according to the setting of the air conditioner, the ambient temperature of the driving route and the predicted working time of the air conditioner.
Further, the determining of the load energy consumption according to the driving route, the number of passengers and the load weight specifically includes:
calculating the load energy consumption rate according to the driving route;
estimating the load weight of the whole vehicle according to the number of passengers and the load weight;
and determining load energy consumption according to the load weight of the whole vehicle and the load energy consumption rate.
Further, the current charging mode comprises a custom mode, and the custom mode comprises a preset charging period;
when the current charging mode is the user-defined mode, according to the current charging mode, the vehicle is controlled to travel to the idle charging position within the set range for charging, and the method specifically comprises the following steps:
calculating the shortest charging time length meeting the travel energy consumption according to the charging power;
and controlling the vehicle to run to an idle charging potential within a set range in the preset charging period for at least charging for the shortest charging time.
Further, when the current charging mode is the automatic mode, the vehicle is controlled to travel to an idle charging position within a set range for charging according to the current charging mode, and the method specifically includes:
calculating the shortest charging time length meeting the travel energy consumption according to the charging power;
determining a target charging time period according to the travel information and the power wave band information;
and controlling the vehicle to run to an idle charging potential within a set range in the target charging period for at least charging the shortest charging time.
Further, still include:
determining the energy consumption of the updated journey according to the real-time road condition during the running of the vehicle;
acquiring the residual electric quantity of the real-time power battery;
if the residual electric quantity of the real-time power battery is less than or equal to the energy consumption of the updating stroke, determining that the residual electric quantity of the real-time power battery is less than or equal to the energy consumption of the updating stroke
Determining a recharging plan according to the trip information, wherein the recharging plan comprises a charging place and a charging time.
The technical scheme of the application also provides a storage medium, wherein the storage medium stores computer instructions, and when a computer executes the computer instructions, the storage medium is used for executing the intelligent charging control method for the new energy automobile.
The technical scheme of the application also provides electronic equipment which comprises at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute the intelligent charging control method for the new energy automobile.
After adopting above-mentioned technical scheme, have following beneficial effect:
the travel information, the system setting and the load data can be acquired before the travel is started, the travel energy consumption is determined, when the power battery has an instant charging requirement, the vehicle is controlled to automatically go to an idle charging position according to the charging mode to be charged, sufficient electric quantity can be guaranteed to exist in each travel, and the user is prevented from charging in the travel.
Drawings
The disclosure of the present application will become more readily understood by reference to the drawings. It should be understood that: these drawings are for illustrative purposes only and are not intended to limit the scope of the present disclosure. In the figure:
fig. 1 is a flowchart of an intelligent charging control method for a new energy vehicle according to an embodiment of the present application;
fig. 2 is a flowchart of an intelligent charging control method for a new energy vehicle according to another embodiment of the present application;
fig. 3 is a schematic diagram of a hardware structure of an electronic device in an embodiment of the present application.
Detailed Description
Embodiments of the present application are further described below with reference to the accompanying drawings.
It is easily understood that according to the technical solutions of the present application, a person skilled in the art can substitute various structural modes and implementation modes without changing the spirit of the present application. Therefore, the following detailed description and the accompanying drawings are merely illustrative of the technical solutions of the present application, and should not be construed as limiting or restricting the technical solutions of the present application in their entirety.
The terms of orientation of up, down, left, right, front, back, top, bottom, and the like referred to or may be referred to in this specification are defined relative to the configuration shown in the drawings, and are relative terms, and thus may be changed correspondingly according to the position and the use state of the device. Therefore, these and other directional terms should not be construed as limiting terms. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
Throughout the description of the present application, it is to be noted that, unless otherwise expressly specified or limited, the terms "mounted," "connected," and "coupled" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; the two components can be directly connected or indirectly connected through an intermediate medium, and the two components can be communicated with each other. The foregoing is to be understood as belonging to the specific meanings in the present application as appropriate to the person of ordinary skill in the art.
The intelligent charging control method for the new energy automobile in the embodiment of the application comprises the following steps:
step S101: acquiring travel information, system settings and load data;
step S102: determining trip energy consumption based on the trip information, the system settings, and the load data;
step S103: acquiring the residual electric quantity of the power battery;
step S104: judging whether an instant charging requirement exists according to the travel energy consumption and the residual electric quantity of the power battery, and if so, judging whether the instant charging requirement exists
And controlling the vehicle to run to an idle charging potential within a set range for charging according to the current charging mode.
Specifically, travel information, system setting and load data are set by a user through a smart car machine system on a central control large screen or a mobile phone APP, and can be set manually or in a voice mode. The travel information comprises travel time, a target route and the like; the load data comprises the weight of the person and the load; the trip information and load data are set before each trip. The system setting comprises a driving mode, an energy recovery mode, an air conditioner setting, a charging mode and the like, and can be set to be a long-term setting without performing the system setting every time a journey is set.
Before the process is started, the process energy consumption is determined according to the process information, the system setting and the load data, whether the residual electric quantity of the power battery meets the process energy consumption is judged, whether the power battery needs to be charged immediately is judged by comparing the size relation between the process energy consumption and the residual electric quantity of the power battery, namely whether the demand of immediate charging exists, and if the demand exists, the vehicle is controlled to automatically run to idle charging for charging, so that the electric quantity of the battery can meet the process energy consumption.
According to the intelligent vehicle-mounted device, the user sets the stroke before the stroke starts, the stroke energy consumption can be calculated in advance, the charging is automatically carried out before the stroke starts, the smooth proceeding of the stroke is guaranteed, and the phenomenon that the normal stroke of the user is delayed due to the fact that the charging is carried out in the stroke is avoided.
In one embodiment, the determining whether there is an instant charging demand according to the trip energy consumption and the remaining power of the power battery specifically includes:
if the residual electric quantity of the power battery is less than the full electric quantity of the power battery, and
if the residual electric quantity of the power battery is less than or equal to the travel energy consumption
An immediate charging requirement is considered.
Specifically, when the remaining capacity of the power battery is not greater than the travel energy consumption and the power battery is not in a full-charge state, the power battery needs to be charged immediately, and at this time, it is determined that there is an immediate charging requirement.
According to the embodiment of the application, whether the instant charging requirement exists or not is judged according to the residual electric quantity and the stroke energy consumption of the power battery, and the accurate judgment of the instant charging requirement can be ensured.
In one embodiment, the intelligent charging control method for the new energy automobile further comprises the following steps:
if the travel energy consumption is more than or equal to the full electricity quantity of the power battery, the power battery is charged
And determining a secondary charging plan according to the travel information, wherein the secondary charging plan comprises a charging place and a charging time.
If the full electricity quantity of the power battery cannot meet the requirement of the travel energy consumption, secondary charging must be carried out in the travel.
In one embodiment, the intelligent charging control method for the new energy automobile further comprises the following steps:
if the residual electric quantity of the power battery is less than the full electric quantity of the power battery, and
if the residual electric quantity of the power battery is greater than the travel energy consumption
Sending charging requirement selection to the user, and if receiving a charging instruction, then
And controlling the vehicle to run to an idle charging potential within a set range for charging according to the current charging mode.
Specifically, when the residual capacity of the power battery meets the travel energy consumption requirement, if the power battery does not reach a full-charge state, the user determines whether to perform charging operation by sending a charging requirement selection to the user, and when a charging instruction of the user is received, the vehicle automatically drives to an idle charging potential within a set range to perform charging. If the vehicle is in a starting state, a selection window can be popped up through the large central control screen, or charging requirement selection voice information is sent to the user through a loudspeaker in the vehicle, and the user can send an instruction to the intelligent vehicle machine system through voice or the large central control screen; if the vehicle is in a flameout state, the user can be notified in a mobile phone short message or APP mode and the like, and the instruction sent by the user through the mobile phone or other mobile terminals is received.
According to the embodiment of the application, when the residual electric quantity of the power battery meets the requirement of travel energy consumption, the user can select whether to execute the charging operation, the user can be reminded to charge by using the idle time of the vehicle, and the cruising ability of the vehicle is ensured.
In one embodiment, the controlling the vehicle to travel to an idle charging potential within a set range for charging specifically includes:
acquiring charging system information within a set range, and if an idle charging potential exists within the set range, controlling the vehicle to run to the nearest idle charging potential for charging;
otherwise, the charging system information in the set range is obtained at the set frequency until the idle charging level is captured, and the vehicle is controlled to run to the idle charging level for charging.
Specifically, in order to ensure the safety of the vehicle and enable a user to quickly find the vehicle in emergency use, the vehicle is controlled to be charged within a set range, wherein the set range can be preset by a system or can be set by the user according to actual requirements. When the vehicle executes charging operation, the vehicle is automatically connected with a network, whether an idle charging position exists in a set range is searched, if the idle charging position does not exist, the charging system information is obtained according to a set frequency until the idle charging position is searched, and the vehicle automatically drives to the idle charging position to be charged after being electrified. The vehicle power-on request information can be sent to a user through a mobile terminal such as a central control large screen or a mobile phone, and the vehicle is automatically powered on after the user confirms the information.
The embodiment of the application realizes that the vehicle is automatically charged in the set range, can automatically search the idle parking spaces according to the set frequency, and ensures that the vehicle can be charged as soon as possible.
In one embodiment, the travel information comprises departure time and driving route, the system settings comprise driving mode, energy recovery mode and air conditioning settings, and the load data comprises number of passengers and load weight;
determining the trip energy consumption according to the trip information, the system settings and the load data specifically comprises:
determining basic energy consumption according to a driving route, a driving mode and an energy recovery mode;
determining air conditioner energy consumption according to the departure time, the driving route and the air conditioner setting;
determining load energy consumption according to the driving route, the number of passengers and the load weight;
and determining the sum of the base energy consumption, the air conditioner energy consumption and the load energy consumption as the journey energy consumption.
Specifically, the estimation of the trip energy consumption includes the base energy consumption, the air conditioner energy consumption and the load energy consumption: the basic energy consumption refers to energy consumption for driving the vehicle and depends on relevant data such as road conditions, mileage, vehicle speed and the like; the air conditioner energy consumption refers to energy consumption for running an air conditioning system in a journey and depends on relevant data such as driving time, air conditioner mode setting, ambient temperature and the like; the load energy consumption refers to extra energy consumption caused by the load of the vehicle, and depends on the load of the vehicle, including data such as the number of passengers and the weight of the load.
The method and the device for determining the travel energy not only consider the basic energy consumption of vehicle driving, but also consider the air conditioner energy consumption of air conditioner operation and the load energy consumption brought by the load, and the estimated travel energy consumption is more accurate, so that the battery capacity after charging can guarantee the requirement of the target travel.
In one embodiment, the determining the basic energy consumption according to the driving route, the driving mode and the energy recovery mode specifically includes:
dividing driving road conditions according to driving routes, wherein the driving road conditions comprise driving road conditions and mileage corresponding to each driving road condition;
determining a basic energy consumption rate corresponding to each driving road condition according to a driving mode and an energy recovery mode;
determining energy consumption corresponding to each driving road condition according to the mileage of each driving road condition and the corresponding basic energy consumption rate;
and adding the energy consumptions corresponding to all the driving road conditions to calculate the basic energy consumption.
Specifically, the driving road conditions in the driving route are divided into urban road conditions, suburban road conditions and high-speed road conditions, and the mileage corresponding to each driving road condition is determined. Because the speed and the speed change rate under different driving road conditions are different, the energy consumption rate of unit mileage is different, the mileage of various driving road conditions is multiplied by the corresponding energy consumption rate, the energy consumption under various driving road conditions in the journey can be obtained, and the sum of the energy consumption under all driving road conditions is the basic energy consumption of the whole journey.
As an example, the basic energy consumption (E1) = mileage on urban road (km) — basic energy consumption rate on urban road (kWh/km) + mileage on suburban road (km) — basic energy consumption rate on suburban road (kWh/km) + mileage on express road (km) — basic energy consumption rate on express road (kWh/km). The mileage of different driving road conditions is determined according to the positioning system, for example, the division of the expressway can be divided according to the road name, the mileage of the expressway can be directly obtained from the positioning system, the urban road conditions and the suburban road conditions are difficult to be divided according to the road name, the division can be performed according to the geographic position of the road, the speed limit of the road and other information, and the mileage corresponding to the driving road conditions is obtained after the driving road conditions are divided.
The basic energy consumption rate is also related to the driving mode and the energy recovery mode, simulation calculation is carried out under different driving modes and energy recovery modes to obtain the basic energy consumption rates corresponding to different driving modes and energy recovery modes under different driving road conditions, a basic energy consumption rate calibration table is generated, and the corresponding basic energy consumption rates are determined by looking up the table during basic energy consumption calculation.
According to the embodiment of the application, the driving route is divided into multiple driving road conditions according to the positioning system, the energy consumption under each driving road condition is calculated independently, the basic energy consumption of the driving route is determined, and the estimation accuracy of the basic energy consumption is effectively improved.
In one embodiment, the determining the energy consumption of the air conditioner according to the departure time, the driving route and the setting of the air conditioner specifically includes:
determining the predicted working time of the air conditioner according to the departure time and the driving route;
and determining the energy consumption of the air conditioner according to the setting of the air conditioner, the ambient temperature of the driving route and the predicted working time of the air conditioner.
Specifically, the departure time and the driving route are combined with the weather forecast of each area searched on the network, the time length of the vehicle driving in different areas and the environment temperature of the corresponding area can be estimated, so that the predicted working time of the air conditioner can be estimated, and then the energy consumption of the air conditioner in the whole travel can be determined by combining the temperature setting of the air conditioner, the environment temperature of the driving route and the predicted working time of the air conditioner.
According to the embodiment of the application, the air conditioner energy consumption in the journey is calculated according to the journey information and the air conditioner setting, the air conditioner energy consumption can be estimated according to the outside temperature, and the estimation result is accurate.
In one embodiment, the determining the load energy consumption according to the driving route, the number of passengers and the weight of the load includes:
calculating the load energy consumption rate according to the driving route;
estimating the load weight of the whole vehicle according to the number of passengers and the load weight;
and determining load energy consumption according to the load weight of the whole vehicle and the load energy consumption rate.
Specifically, the driving road conditions of the driving route are divided according to the positioning information, including the driving road conditions and the mileage corresponding to each driving road condition, in the same manner as the driving road conditions in the previous embodiment. The driving road conditions comprise urban road conditions, suburban road conditions and high-speed road conditions, and the load energy consumption rates under different driving road conditions are different and are specifically related to the basic energy consumption rate under the corresponding driving road conditions.
Regarding the load weight of the whole vehicle, firstly, the number of passengers is determined according to the number of passengers input by a user and according to a preset weight value of the passengers, and the sum of the weight of the passengers and the load weight is the load weight of the whole vehicle.
As an example, the load energy consumption (E2) = the entire vehicle load weight M × the load energy consumption rate = the entire vehicle load weight M (urban road mileage (km) × urban road condition basic energy consumption rate E11 (kWh/km) × urban road condition sensitivity coefficient K1+ suburban road condition mileage (km) × suburban road condition basic energy consumption rate E12 (kWh/km) × suburban road condition sensitivity coefficient K2+ express road condition (km) × express road condition basic energy consumption rate E13 (kWh/km) × express road condition sensitivity coefficient K3). The urban road condition sensitivity coefficient K1, the suburban road condition sensitivity coefficient K2 and the high-speed road condition sensitivity coefficient K3 are obtained according to energy consumption tests and simulation results.
According to the embodiment of the application, the driving route is divided into multiple driving road conditions, the load energy consumption rate of the current route is estimated, the condition that the load energy consumption of different driving road conditions is different is considered, and a more accurate load energy consumption value can be estimated.
In one embodiment, the current charging mode comprises a custom mode, the custom mode comprising a preset charging period;
when the current charging mode is the user-defined mode, according to the current charging mode, the vehicle is controlled to travel to the idle charging position within the set range for charging, and the method specifically comprises the following steps:
calculating the shortest charging time length meeting the travel energy consumption according to the charging power;
and controlling the vehicle to run to an idle charging potential within a set range in the preset charging period for at least charging for the shortest charging time.
Specifically, the current charging mode is set by a user, and when the charging mode is a user-defined mode, the user defines a preset charging period and charging power, and then the vehicle automatically searches for a charging potential in the preset charging period to charge with the charging power. The preset charging period may be set while setting the trip each time.
Before the charging operation is carried out, the shortest charging time is calculated according to the charging power, if the vehicle has the remaining time after being charged for the shortest charging time in the preset charging time period, a charging request can be sent to a user, and the vehicle is charged until the battery is fully charged or the preset charging time period is finished after the charging request is confirmed by the user.
When the charging mode is the user-defined mode, the user sets the charging time period and the charging power according to actual requirements, and charging can be carried out according to the requirements of the user.
In one embodiment, when the current charging mode is an automatic mode, the controlling the vehicle to travel to an idle charging level within a set range for charging according to the current charging mode specifically includes:
calculating the shortest charging time length meeting the travel energy consumption according to the charging power;
determining a target charging time period according to the travel information and the power wave band information;
and controlling the vehicle to run to an idle charging potential within a set range in the target charging period for at least charging the shortest charging time.
Specifically, when the user sets the charging mode to the automatic mode, a fixed charging power is set in the automatic mode, and the shortest charging period is calculated according to the charging power. And then determining a target charging time period, wherein the target charging time period is preferentially selected in combination with the travel time to charge at the electricity utilization trough section, namely, the charging is carried out when the power load is small at night, so that the economy is improved, and the charging efficiency can also be ensured.
When the charging mode is the automatic mode, the embodiment of the application automatically charges at the trough section of the power utilization, and the economic performance is improved.
In one embodiment, the method further comprises the following steps:
determining the energy consumption of the updated journey according to the real-time road condition during the running of the vehicle;
acquiring the residual electric quantity of the power battery in real time;
if the residual electric quantity of the real-time power battery is less than or equal to the energy consumption of the updating stroke, determining that the residual electric quantity of the real-time power battery is less than or equal to the energy consumption of the updating stroke
Determining a recharging plan according to the trip information, wherein the recharging plan comprises a charging place and a charging time.
According to the embodiment of the application, during the running of the vehicle, the real-time road condition is obtained through the positioning system, for example, the conditions such as congestion and the like of the road occur, the travel energy consumption is updated according to the real-time road condition, if the residual electric quantity of the real-time power battery does not meet the requirement for updating the travel energy consumption, the supplementary charging plan is determined according to the travel information, the optimal charging place and the charging time are selected, and the prompt is sent to the user, so that the condition that the travel of the user is influenced by the sudden road condition in the travel is avoided.
Fig. 2 shows a flowchart of an intelligent charging control method for a new energy vehicle in a preferred embodiment of the present application, which specifically includes:
step S201: the method comprises the steps of obtaining travel information, system settings and load data, wherein the travel information comprises departure time and a driving route, the system settings comprise a driving mode, an energy recovery mode and an air conditioner setting, and the load data comprises the number of passengers and load weight;
step S202: determining basic energy consumption according to a driving route, a driving mode and an energy recovery mode;
determining air conditioner energy consumption according to the departure time, the driving route and the air conditioner setting;
determining load energy consumption according to the driving route, the number of passengers and the carrying weight;
determining the sum of the base energy consumption, the air conditioner energy consumption and the load energy consumption as the journey energy consumption;
step S203: if the travel energy consumption is larger than or equal to the full electricity quantity of the power battery, executing a step S205 after executing the step S204, otherwise, directly executing the step S205;
step S204: determining a secondary charging plan according to the travel information, wherein the secondary charging plan comprises a charging place and charging time;
step S205: acquiring the residual electric quantity of the power battery;
step S206: if the residual electric quantity of the power battery is less than the full electric quantity of the power battery, executing step S207;
step S207: if the residual electric quantity of the power battery is less than or equal to the travel energy consumption, executing steps S209-S210; otherwise, executing step S208;
step S208: sending a charging requirement selection to a user, and if a charging instruction is received, executing steps S209-S211;
step S209: if the current charging mode is the user-defined mode, executing step S210, and if the current charging mode is the automatic mode, executing step S211;
step S210: calculating the shortest charging time length meeting the travel energy consumption according to the charging power;
controlling the vehicle to run to an idle charging potential within a set range in the preset charging period for at least charging the shortest charging time;
step S211: calculating the shortest charging time length meeting the travel energy consumption according to the charging power;
determining a target charging time period according to the travel information and the power wave band information;
controlling the vehicle to run to an idle charging potential within a set range in the target charging period for at least charging the shortest charging time;
step S212: determining the energy consumption for updating the route according to the real-time road condition during the running of the vehicle;
step S213: acquiring the residual electric quantity of the real-time power battery;
step S214: if the real-time power battery residual capacity is less than or equal to the update process energy consumption, executing step S215;
step S215: determining a recharging plan according to the trip information, wherein the recharging plan comprises a charging place and a charging time.
The technical scheme of the application also provides a storage medium, wherein the storage medium stores computer instructions, and when a computer executes the computer instructions, the storage medium is used for executing the intelligent charging control method of the new energy automobile in any one of the embodiments.
Fig. 3 shows an electronic device of the present application, comprising:
at least one processor 301; and (c) a second step of,
a memory 302 communicatively coupled to the at least one processor 301; wherein the content of the first and second substances,
the memory 302 stores instructions executable by the at least one processor 301, and the instructions are executed by the at least one processor 301, so that the at least one processor 301 can execute all the steps of the intelligent charging control method for a new energy automobile in any one of the method embodiments.
The Electronic device is preferably an on-board Electronic Control Unit (ECU), and further preferably a Micro Controller Unit (MCU) in the on-board Electronic Control Unit.
In fig. 3, a processor 302 is taken as an example:
the electronic device may further include: an input device 303 and an output device 304.
The processor 301, the memory 302, the input device 303 and the display device 304 may be connected by a bus or other means, and are illustrated as being connected by a bus.
The memory 302 is used as a non-volatile computer-readable storage medium, and can be used to store non-volatile software programs, non-volatile computer-executable programs, and modules, such as program instructions/modules corresponding to the new energy vehicle intelligent charging control method in the embodiment of the present application, for example, the method flow shown in fig. 1 or 2. The processor 301 executes various functional applications and data processing by running the nonvolatile software programs, instructions and modules stored in the memory 302, so as to implement the intelligent charging control method for the new energy vehicle in the above embodiment.
The memory 302 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the intelligent charging control method for the new energy vehicle, and the like. Further, the memory 302 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some embodiments, the memory 302 may optionally include a memory remotely disposed with respect to the processor 301, and the remote memory may be connected to a device for performing the intelligent charging control method for a new energy vehicle through a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The input device 303 may receive an input of a user click and generate a signal input related to user setting and function control of the intelligent charging control method for the new energy vehicle. The display device 304 may include a display screen or the like.
When the one or more modules are stored in the memory 302 and executed by the one or more processors 301, the intelligent charging control method for the new energy automobile in any method embodiment is executed.
What has been described above is merely the principles and preferred embodiments of the present application. It should be noted that, for those skilled in the art, the embodiments obtained by appropriately combining the technical solutions respectively disclosed in the different embodiments are also included in the technical scope of the present invention, and several other modifications may be made on the basis of the principle of the present application and should also be regarded as the protective scope of the present application.
Claims (13)
1. The intelligent charging control method for the new energy automobile is characterized by comprising the following steps of:
acquiring travel information, system settings and load data;
determining trip energy consumption according to the trip information, the system settings, and the load data;
acquiring the residual electric quantity of the power battery;
judging whether an instant charging requirement exists according to the travel energy consumption and the residual electric quantity of the power battery, and if so, judging whether the instant charging requirement exists
Controlling the vehicle to run to an idle charging potential within a set range for charging according to the current charging mode:
if the current charging mode is the automatic mode, the method specifically comprises the following steps:
calculating the shortest charging time length meeting the travel energy consumption according to the charging power;
determining a target charging time period according to the travel information and the power wave band information, preferentially selecting the target charging time period in combination with travel time to charge at a power utilization wave trough section, namely charging at night when the power load is small, and enabling the time of the target charging time period in the power utilization wave trough section to be as much as possible under the condition of ensuring no influence if the travel time is overlapped with the power utilization wave trough section;
and controlling the vehicle to run to an idle charging potential within a set range in the target charging period for at least charging the shortest charging time.
2. The intelligent charging control method for the new energy automobile according to claim 1, wherein the step of judging whether an instant charging demand exists according to the travel energy consumption and the residual electric quantity of the power battery specifically comprises the following steps:
if the residual electric quantity of the power battery is less than the full electric quantity of the power battery, and
if the residual electric quantity of the power battery is less than or equal to the travel energy consumption
An immediate charging requirement is considered.
3. The intelligent charging control method for the new energy automobile according to claim 1 or 2, further comprising:
if the travel energy consumption is larger than or equal to the full electricity quantity of the power battery, the power battery is charged
And determining a secondary charging plan according to the travel information, wherein the secondary charging plan comprises a charging place and a charging time.
4. The intelligent charging control method for the new energy automobile according to claim 1 or 2, characterized by further comprising:
if the residual electric quantity of the power battery is less than the full electric quantity of the power battery, and
the residual electric quantity of the power battery is greater than the travel energy consumption, then
Sending a charging requirement selection to a user, and if a charging instruction is received, then
And controlling the vehicle to run to an idle charging potential within a set range for charging according to the current charging mode.
5. The intelligent charging control method for the new energy automobile according to claim 1, wherein the step of controlling the vehicle to travel to an idle charging level within a set range for charging specifically comprises the steps of:
acquiring charging system information within a set range, and if an idle charging potential exists within the set range, controlling the vehicle to drive to the nearest idle charging potential for charging;
otherwise, the charging system information in the set range is obtained at the set frequency until the idle charging potential is captured, and the vehicle is controlled to run to the idle charging potential for charging.
6. The intelligent charging control method for the new energy automobile according to claim 1, wherein the travel information comprises departure time and a driving route, the system settings comprise a driving mode, an energy recovery mode and an air conditioning setting, and the load data comprises the number of passengers and the weight of a load;
determining the trip energy consumption according to the trip information, the system settings and the load data specifically comprises:
determining basic energy consumption according to a driving route, a driving mode and an energy recovery mode;
determining air conditioner energy consumption according to the departure time, the driving route and the air conditioner setting;
determining load energy consumption according to the driving route, the number of passengers and the carrying weight;
and determining the sum of the basic energy consumption, the air conditioner energy consumption and the load energy consumption as the journey energy consumption.
7. The intelligent charging control method for the new energy automobile according to claim 6, wherein the determining of the basic energy consumption according to the driving route, the driving mode and the energy recovery mode specifically comprises:
dividing driving road conditions according to driving routes, wherein the driving road conditions comprise driving road conditions and mileage corresponding to each driving road condition;
determining a basic energy consumption rate corresponding to each driving road condition according to a driving mode and an energy recovery mode;
determining energy consumption corresponding to each driving road condition according to the mileage of each driving road condition and the corresponding basic energy consumption rate;
and adding the energy consumptions corresponding to all the driving road conditions to calculate the basic energy consumption.
8. The intelligent charging control method for the new energy automobile according to claim 6, wherein the determining of the energy consumption of the air conditioner according to the departure time, the driving route and the setting of the air conditioner specifically comprises:
determining the predicted working time of the air conditioner according to the departure time and the driving route;
and determining the energy consumption of the air conditioner according to the setting of the air conditioner, the ambient temperature of the driving route and the predicted working time of the air conditioner.
9. The intelligent charging control method for the new energy automobile according to claim 6, wherein the determining of the load energy consumption according to the driving route, the number of passengers and the weight of the loaded object specifically comprises:
calculating the load energy consumption rate according to the driving route;
estimating the load weight of the whole vehicle according to the number of passengers and the load weight;
and determining load energy consumption according to the load weight of the whole vehicle and the load energy consumption rate.
10. The intelligent charging control method for the new energy automobile according to claim 1, wherein the current charging mode comprises a custom mode, and the custom mode comprises a preset charging period;
when the current charging mode is the user-defined mode, according to the current charging mode, the vehicle is controlled to travel to the idle charging position within the set range for charging, and the method specifically comprises the following steps:
calculating the shortest charging time length meeting the travel energy consumption according to the charging power;
and controlling the vehicle to run to an idle charging potential within a set range in the preset charging period for at least charging the shortest charging time.
11. The intelligent charging control method for the new energy automobile according to claim 1, further comprising:
determining the energy consumption of the updated journey according to the real-time road condition during the running of the vehicle;
acquiring the residual electric quantity of the power battery in real time;
if the residual electric quantity of the real-time power battery is less than or equal to the energy consumption of the updating stroke, determining that the residual electric quantity of the real-time power battery is less than or equal to the energy consumption of the updating stroke
And determining a supplementary charging plan according to the travel information, wherein the supplementary charging plan comprises a charging place and a charging time.
12. A storage medium, wherein the storage medium stores computer instructions, and when the computer instructions are executed by a computer, the storage medium is used for executing the intelligent charging control method for a new energy automobile according to any one of claims 1-11.
13. An electronic device comprising at least one processor; and (c) a second step of,
a memory communicatively coupled to the at least one processor; wherein, the first and the second end of the pipe are connected with each other,
the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute the intelligent charging control method for the new energy automobile according to any one of claims 1-11.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110771554.1A CN113335126B (en) | 2021-07-08 | 2021-07-08 | Intelligent charging control method for new energy automobile, storage medium and electronic equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110771554.1A CN113335126B (en) | 2021-07-08 | 2021-07-08 | Intelligent charging control method for new energy automobile, storage medium and electronic equipment |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113335126A CN113335126A (en) | 2021-09-03 |
| CN113335126B true CN113335126B (en) | 2023-01-06 |
Family
ID=77483121
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110771554.1A Active CN113335126B (en) | 2021-07-08 | 2021-07-08 | Intelligent charging control method for new energy automobile, storage medium and electronic equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113335126B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114362298B (en) * | 2021-12-25 | 2024-01-23 | 深圳市华思旭科技有限公司 | Charging control method, charging device and charging cabinet |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112428834A (en) * | 2020-11-17 | 2021-03-02 | 宁波工程学院 | Monte Carlo method-based intelligent electric vehicle charging optimization method and system |
Family Cites Families (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE112016006782T5 (en) * | 2016-05-25 | 2019-01-24 | Ford Global Technologies, Llc | Methods and devices for charging electric vehicles |
| CN110375757A (en) * | 2019-06-27 | 2019-10-25 | 金龙联合汽车工业（苏州）有限公司 | Intelligently auxiliary roadway line gauge draws method to new-energy automobile based on big data |
| CN111532166A (en) * | 2020-04-30 | 2020-08-14 | 重庆长安新能源汽车科技有限公司 | Electric vehicle charging path planning method and device, vehicle and computer storage medium |
| CN112232679B (en) * | 2020-10-19 | 2023-08-29 | 杭州世创电子技术股份有限公司 | Electric vehicle and charging equipment dynamic intelligent matching method based on edge calculation |
| CN112224089A (en) * | 2020-11-06 | 2021-01-15 | 恒大新能源汽车投资控股集团有限公司 | Energy consumption-based travel planning method and device, electronic equipment and storage medium |
| CN112406874B (en) * | 2020-11-27 | 2022-04-22 | 深圳供电局有限公司 | Electric automobile remote charging auxiliary decision-making method |
| CN112477635A (en) * | 2020-11-30 | 2021-03-12 | 浙江吉利控股集团有限公司 | Method, device and equipment for supplementing electric quantity of battery and storage medium |
-
2021
- 2021-07-08 CN CN202110771554.1A patent/CN113335126B/en active Active
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112428834A (en) * | 2020-11-17 | 2021-03-02 | 宁波工程学院 | Monte Carlo method-based intelligent electric vehicle charging optimization method and system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113335126A (en) | 2021-09-03 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN113135100B (en) | Vehicle charging reminding method and device, storage medium and vehicle | |
| US11884181B2 (en) | Determining a minimum state of charge for an energy storage means of a vehicle | |
| EP2645062B1 (en) | Route search system and method for electric automobile | |
| CN111220168A (en) | Method and device for planning charging path of electric vehicle and storage medium | |
| US10906424B2 (en) | System for announcing predicted remaining amount of energy | |
| JP4973475B2 (en) | Charge control device | |
| US9604633B2 (en) | Travel support device, travel support method, and drive support system | |
| JP5096056B2 (en) | Vehicle control apparatus and control method | |
| CN110549877A (en) | electric vehicle, charging method thereof and computer-readable storage medium | |
| CN111815096B (en) | Shared automobile throwing method, electronic equipment and storage medium | |
| KR101769723B1 (en) | Movement support apparatus, movement support method, and driving support system | |
| JP2011102801A (en) | Method of estimating travelable distance of motor vehicle | |
| US10801848B2 (en) | Crowd sourcing to predict vehicle energy consumption | |
| CN106871918B (en) | Electric vehicle route planning method and device | |
| WO2024103702A1 (en) | Predictive energy management method and apparatus, electronic device, and storage medium | |
| CN113335126B (en) | Intelligent charging control method for new energy automobile, storage medium and electronic equipment | |
| KR20140095780A (en) | Apparatus and method for estimating a drivable distance of an electronic vehecle | |
| JP2013213799A (en) | Information providing system, terminal device, and server | |
| JP2012189466A (en) | Driving support system and in-vehicle system | |
| JP2018114815A (en) | Vehicle control device | |
| CN112849155A (en) | Control method and control device for vehicle, and computer-readable storage medium | |
| CN114256523A (en) | Charging control method and device for charging pile, electronic equipment and storage medium | |
| CN111121813A (en) | Shared automobile journey planning system | |
| CN115115073A (en) | Driving range prediction method and device | |
| JP2023155978A (en) | Information processing system, information processing method, information processing device, and program |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |