CN116220986A - Intelligent start-stop method and system based on Internet of vehicles - Google Patents
Intelligent start-stop method and system based on Internet of vehicles Download PDFInfo
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
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- F02N11/0814—Circuits or control means specially adapted for starting of engines comprising means for controlling automatic idle-start-stop
- F02N11/0818—Conditions for starting or stopping the engine or for deactivating the idle-start-stop mode
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- F02N11/0837—Environmental conditions thereof, e.g. traffic, weather or road conditions
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- F02N11/00—Starting of engines by means of electric motors
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- F02N11/0814—Circuits or control means specially adapted for starting of engines comprising means for controlling automatic idle-start-stop
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Abstract
The invention provides an intelligent start-stop method and system based on the Internet of vehicles, wherein the intelligent start-stop method comprises the steps of obtaining starting time, and calculating idle oil consumption based on the starting time and oil consumption per second in an idle state, wherein the starting time comprises waiting time, ideal starting time and/or additional starting time; judging the idle oil consumption and the ignition oil consumption in the starting time, and if the idle oil consumption is larger than the ignition oil consumption, intervening a start-stop system. The invention changes the negative influence of the start-stop system on the user, solves the problems of influence of frequent start of the start-stop system on the ignition coil and the like when the automobile is in a traffic jam state, improves the fuel economy of the automobile waiting for a red light, simultaneously improves the riding comfort of the user, changes the prejudice of the user on the traditional start-stop system, ensures that the start-stop system has better effect on the auxiliary driving of the user, has better energy-saving effect and is beneficial to energy conservation and emission reduction of the automobile.
Description
Technical Field
The invention relates to the field of automobile energy conservation, in particular to an intelligent start-stop method and system based on the Internet of vehicles.
Background
According to the definition of the technology innovation strategy alliance of the Internet of vehicles, the Internet of vehicles is based on an in-vehicle network, an inter-vehicle network and a vehicle-mounted mobile Internet, and according to agreed communication protocols and data interaction standards, a large system network for wireless communication and information exchange among vehicles, roads, pedestrians and the Internet is an integrated network capable of realizing intelligent traffic management, intelligent dynamic information service and intelligent control of vehicles, and is a typical application of the technology of the Internet of things in the field of traffic systems.
At present, the internet of vehicles communication technology (such as cellular communication networks of 2G/3G/4G/5G and the like or non-cellular networks of V2X, DS RC and the like) is widely applied to a plurality of technical fields of automobiles, such as intelligent driving technology, intelligent rescue service, intelligent parking technology and the like, but more technologies are mainly early warning and reminding, and diversified data information capable of being combined with real-time uploading of multiple automobiles is not formed yet to achieve cooperative control of a single automobile system/multiple automobile systems.
With the development of internet of vehicles and the deepening of the degree of cross-border integration, more and more configurations are on the automobiles, but not all configurations can meet the demands of users. Taking a start-stop system as an example, the start-stop system, the English translation into an S1 start-S1 top system is that when a vehicle is in a stop state (not in a parking state), an engine is shut down (instead of traditional idle speed maintenance), and when the vehicle is in a suspension state, lubricating oil in the engine can continuously run, so that the interior of the engine is kept lubricated; when the brake pedal is released, the engine is started again, and at the moment, the lubricating oil is circulated all the time, so that the engine is not worn even if the engine is stopped and started frequently.
However, in practical automotive use scenarios, if from the standpoint of energy conservation and fuel economy, in many scenarios, the intervention of the start-stop system is to provide a reaction, for example in a traffic jam scenario: when the front vehicle is in a stationary state and the vehicle approaches the front vehicle, a user starts to apply braking force to the vehicle until the vehicle is stationary, the starting and stopping system intervenes in the engine to stop, and the vehicle starts to run forward after the vehicle is just stationary for 2 seconds, at the moment, the user releases the braking force of the vehicle, the engine is ignited to resume operation, and the vehicle starts to run. Under the traffic jam scene, the intervention of the start-stop system is more than one, the purposes of energy conservation and emission reduction of the automobile are not achieved, and the driving comfort of a user is also intangibly reduced, so that in reality, a plurality of users can choose to close the start-stop system after the automobile is electrified, the configuration function of the start-stop system at the moment is superfluous, if the automobile faces the scene for many times, the start-stop system is unreasonably intervened, the operation of flameout and ignition is continuously and frequently executed by an automobile engine, the service life of an ignition coil of the engine is also greatly influenced, and the energy conservation and emission reduction of the automobile and the driving comfort experience of the user cannot be achieved.
Thus, the prior art is still in need of further development.
Disclosure of Invention
In order to solve the problems that in the prior art, the intervention of a start-stop system is unreasonable, and the energy conservation and emission reduction of an automobile and the riding comfort experience of a user are affected, the invention provides an intelligent start-stop method and system, which can improve the energy conservation effect of the automobile in traveling and the riding comfort of the user.
The first aspect of the invention provides an intelligent start-stop method based on the Internet of vehicles, which comprises the following steps:
acquiring starting time, and calculating idle oil consumption based on the starting time and the oil consumption per second in an idle state, wherein the starting time comprises waiting time, ideal starting time and/or additional starting time;
judging the idle oil consumption and the ignition oil consumption in the starting time, and if the idle oil consumption is larger than the ignition oil consumption, intervening a start-stop system.
Optionally, judging the idle oil consumption and the ignition oil consumption in the starting time further includes:
and if the idle oil consumption is less than or equal to the ignition oil consumption, the engine keeps an idle state.
Optionally, obtaining the starting time includes:
and if the vehicle is positioned at the stop line, acquiring the waiting time, wherein the waiting time comprises signal lamp time or congestion relieving time.
Optionally, acquiring the starting time further includes:
if no front vehicle exists in the starting distance of the vehicle, the deceleration time of the vehicle in the starting distance is calculated, wherein the starting distance comprises the distance from the stopping line of the current position of the vehicle.
Optionally, when the starting time is the signal lamp time, the calculating the idle oil consumption based on the starting time and the oil consumption per second in the idle state further includes:
if the vehicle is in front of the vehicle in the starting distance, taking the signal lamp time as the starting time;
and calculating the idle oil consumption in the starting time based on the starting time and the oil consumption per second in the idle state.
Optionally, when the starting time is the ideal starting time, judging the idle oil consumption and the ignition oil consumption in the waiting time, and further including:
acquiring ideal starting time, wherein the ideal starting time is the time from the starting of a front vehicle to the arrival of the vehicle at a starting line;
and updating the starting time based on the waiting signal lamp time and the ideal starting time, and judging the idle oil consumption and the ignition oil consumption in the starting time.
Optionally, when obtaining the ideal starting time, the method further includes:
if the front vehicle has a starting delay behavior, acquiring additional starting time;
Based on the wait signal time, the ideal start time and the additional start time update a start time.
The second aspect of the invention provides an intelligent start-stop system based on the Internet of vehicles, which is applied to a cloud, and comprises the following components:
the system comprises an acquisition unit, a control unit and a control unit, wherein the acquisition unit is used for acquiring starting time, calculating idle oil consumption based on the starting time and oil consumption per second in an idle state, and the starting time comprises waiting time, ideal starting time and/or additional starting time;
and the control unit is used for judging the idle oil consumption and the ignition oil consumption in the starting time, and allowing the start-stop system to intervene if the idle oil consumption is larger than the ignition oil consumption.
Optionally, the control unit is further configured to determine the idle oil consumption and the ignition oil consumption in the starting time, and if the idle oil consumption is less than or equal to the ignition oil consumption, the engine maintains an idle state.
Optionally, the control unit further includes a safety verification unit, where the safety verification unit is configured to perform safety verification on the cloud end and the host vehicle when the idle oil consumption is less than or equal to the ignition oil consumption and the engine maintains the idle state.
Optionally, the acquiring unit includes:
the first acquisition subunit is used for acquiring ideal starting time, wherein the ideal starting time is the time from the starting of the front vehicle to the arrival of the vehicle at a starting line.
Optionally, the acquiring unit includes: the second acquisition subunit is used for generating additional starting time if the front vehicle has starting delay behavior;
based on the wait time, the ideal start time and the additional start time result in a start time.
A third aspect of the invention provides a vehicle comprising: an electronic device comprising at least one processor; and at least one memory communicatively coupled to the processor, wherein: the memory stores program instructions executable by the processor, the processor invoking the program instructions to perform the method according to the first aspect of the invention.
A fourth aspect of the invention provides a computer-readable storage medium having stored thereon a computer program which, when executed by a computer, performs a method according to the first aspect of the invention.
The intelligent start-stop method has the beneficial effects that based on the technology of the Internet of vehicles, diversified data uploaded by multiple vehicles in real time are effectively utilized, an intelligent start-stop method is obtained, the intervention time of the start-stop system is controlled by judging the values of idle oil consumption and ignition oil consumption of the vehicles, so that the vehicles are more standard and energy-saving for the selection of the start-stop system, the negative influence of the start-stop system on users is changed, the influence of frequent start of the start-stop system on ignition coils and the like when the vehicles are in a traffic jam state is solved, the fuel economy of the vehicles waiting for red lights is improved, the driving comfort of the users is improved, the prejudice of the users on the traditional start-stop system is changed, the auxiliary driving effect of the start-stop system on the users is better, the energy-saving effect is better, and the energy conservation and emission reduction of the vehicles are facilitated.
Drawings
Fig. 1 shows a schematic flow chart of an intelligent start-stop method based on internet of vehicles in an embodiment of the invention;
FIG. 2 is a schematic flow chart of a standby red light scene in an embodiment of the invention;
FIG. 3 is a schematic flow chart of a traffic jam scene in an embodiment of the invention;
FIG. 4 is a logic diagram of a standby red light scenario according to an embodiment of the present invention;
FIG. 5 is a schematic flow chart of another embodiment of the present invention for waiting for a red light scene;
FIG. 6 is a logic diagram of yet another standby red light scenario in an embodiment of the present invention;
FIG. 7 is a logic diagram of yet another standby red light scenario in an embodiment of the present invention;
FIG. 8 is a schematic flow chart of another embodiment of the present invention for waiting for a red light scene;
FIG. 9 is a schematic diagram of a traffic jam scenario according to an embodiment of the present invention;
FIG. 10 is a logic diagram of still another traffic jam scenario according to an embodiment of the present invention;
FIG. 11 is a schematic flow chart of another traffic jam scenario in an embodiment of the present invention;
fig. 12 shows a schematic block diagram of an intelligent start-stop system based on internet of vehicles according to an embodiment of the present invention.
Description of the embodiments
The following description of the embodiments of the present invention 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 invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Before understanding the scheme of the invention, necessary premise information related to the scheme of the invention is needed to be understood, including the current internet of vehicles technology. The concept of the internet of things is extended from the internet of things (Internet of ThingS), and the definition of the internet of things is different according to different industrial backgrounds. The traditional Internet of vehicles definition refers to a system for extracting and effectively utilizing attribute information and static and dynamic information of all vehicles on an information network platform through identification technologies such as wireless radio frequency and the like of electronic tags loaded on the vehicles, and effectively supervising and providing comprehensive services for the running states of all the vehicles according to different functional requirements. With the development of internet of vehicles technology and industry, the above definition cannot cover the whole content of internet of vehicles. According to the definition of the technology innovation strategy alliance of the Internet of vehicles, the Internet of vehicles is based on an in-vehicle network, an inter-vehicle network and a vehicle-mounted mobile Internet, and according to agreed communication protocols and data interaction standards, a large system network for wireless communication and information exchange among vehicles, roads, pedestrians and the Internet is an integrated network capable of realizing intelligent traffic management, intelligent dynamic information service and intelligent control of vehicles, and is a typical application of the technology of the Internet of things in the field of traffic systems.
The architecture of the Internet of vehicles comprises: first layer (end system): the terminal system is an intelligent sensor of an automobile, is responsible for acquiring and acquiring intelligent information of the automobile, perceives driving states and environments, and is a ubiquitous communication terminal with in-automobile communication, workshop communication and vehicle network communication; meanwhile, the system is a device which enables the automobile to have the capabilities of internet of vehicles addressing, network credible identification and the like. Second layer (pipe system): the method solves the interconnection and intercommunication of vehicles (V2V), vehicles and roads (V2R), vehicles and networks (V2I), vehicles and people (V2H) and the like, realizes communication and roaming between the vehicle ad hoc network and various heterogeneous networks, ensures real-time performance, serviceability and network ubiquitous performance in function and performance, and is the unity of public networks and private networks. Third layer (cloud system): the internet of vehicles is a vehicle running information platform with a cloud architecture, and the ecological chain is a multi-source mass information aggregation, so that cloud computing functions such as virtualization, security authentication, real-time interaction, mass storage and the like are required, and the application system is a composite system for data aggregation, calculation, scheduling, monitoring, management and application around vehicles.
The key technologies of the Internet of vehicles comprise: sensor technology and sensing information integration; an open, intelligent vehicle-mounted terminal system platform; a speech recognition technique; a server side calculation and service integration technology; communication and application technology thereof; internet technology, etc.
By utilizing a communication network in the internet of vehicles technology, such as a cellular communication network of 2G/3G/4G/5G and the like or a non-cellular communication network of V2X, DS RC and the like, and a server, such as a cloud, can collect, store, analyze and process vehicle big data information existing around any vehicle, so that information inquiry and timely early warning service such as traffic jam conditions, traffic accident conditions, road construction conditions, road traffic control conditions and the like are provided for each user, and the user can timely select a running route which is suitable for the user to best and effectively use.
In addition, based on the internet of vehicles technology, the cloud has diversified vehicle sensor data of multiple vehicles in the area and driving behavior data of each user (the data can be analyzed and obtained by depending on a brake pedal related sensor and an accelerator pedal related sensor), so that the cloud can at least obtain the following four kinds of information:
first kind of information: the user of the vehicle is proficient in driving, including the time D required by the user to normally start at one time; by utilizing a communication network in the internet of vehicles technology, such as a cellular communication network of 2G/3G/4G/5G and the like or a non-cellular communication network of V2X, DS RC and the like, and a server, such as a cloud, can collect, store, analyze and process vehicle big data information existing around any vehicle, so that information inquiry and timely early warning service such as traffic jam conditions, traffic accident conditions, road construction conditions, road traffic control conditions and the like are provided for each user, and the user can timely select a running route which is suitable for the user to best and effectively use.
Second kind of information: the fuel consumption L per second under the idle state after the vehicle is stationary is calculated with the current general vehicle displacement of 1.5-1.8 liters, and the fuel consumed by idle per hour is about 1-2 liters;
third kind of information: the fuel consumption A required by each vehicle engine ignition is carried out once;
fourth information: the method comprises the steps of obtaining starting distances S1, S2 and S3, wherein the starting distances comprise distances S1 or S2 of the current position of the vehicle from a stop line, and the stop line comprises a stop line waiting for traffic lights; the current position of the vehicle is at a maximum edge distance S3 from the congestion area; the difference between S1 and S2 is whether there is a vehicle waiting for a red light in front of the host vehicle in the distance from the stop line where the host vehicle is currently located. The starting distance indicates a range of intelligent starting and stopping under the control of the cloud, namely, the current position of the vehicle is a working position where the cloud starts to perform judgment or pre-judgment, and conditions for triggering the cloud to start to perform the pre-judgment in advance include, but are not limited to, the conditions based on a cellular communication network such as 2G/3G/4G/5G or a non-cellular communication network such as V2X, DS RC, and the server such as the cloud can collect, store, analyze and process big data information of vehicles existing around any vehicle, so that the obtained preferable starting distance can be set in other ways besides the cloud judgment, such as setting through expert experience or learning user preference by machine to obtain the starting distance corresponding to different driving scenes such as waiting for red lights and traffic jam.
At present, the internet of vehicles communication technology is widely applied to a plurality of technical fields of automobiles, such as intelligent driving technology, intelligent rescue service, intelligent parking technology and the like, but more technologies mainly adopt early warning and reminding, and diversified data information capable of being uploaded in real time by combining multiple automobiles is not formed yet so as to realize cooperative control on a single-vehicle system/multiple-vehicle system.
As shown in fig. 1, a first aspect of the present invention provides an intelligent start-stop method based on internet of vehicles, including:
step S1: acquiring starting time, and calculating idle oil consumption based on the starting time and the oil consumption per second in an idle state, wherein the starting time comprises waiting time, ideal starting time and/or additional starting time; wherein the obtaining of the starting time comprises:
and if the vehicle is positioned at the stop line, acquiring waiting time, wherein the waiting time comprises signal lamp time and congestion relief time. Specifically, the start time represents an intermediate time from the current state to the completely normal driving or the completely stopped driving of the automobile. The waiting congestion relief time is applied to a traffic jam scene, and the starting time is the waiting congestion relief time at the position of the maximum edge distance line of the congestion area of the vehicle. When the vehicle waits for a red light scene, the starting time comprises the time when the vehicle is on a static line at a traffic light intersection, and a signal lamp at the moment is displayed as a red light, so that the starting time is the time when the vehicle waits for the signal lamp; when the vehicle waits for the red light but is not on the stationary line of the traffic light intersection, the vehicle is indicated that the front vehicle waiting for the red light exists in front of the vehicle, and the starting time at the moment comprises the starting time of the waiting front vehicle and the signal lamp time, because the vehicle can be started only after the front vehicle starts. The stop line or the start line is a forbidden line for standardizing the traffic light waiting behavior of the vehicle, and can be also understood as a stop critical point of the automobile when waiting for a red light. In addition, the starting time of the front vehicle is ideal in an ideal state, namely when the red light turns to the green light, the front vehicle of the vehicle can start sequentially and orderly, no starting delay exists, and if the starting delay exists, namely the front vehicle has starting delay behavior, the additional starting time is generated, wherein the starting time of the front vehicle is the sum of the ideal starting time and the additional starting time.
Specifically, based on the internet of vehicles technology, the cloud has diversified vehicle sensor data of multiple vehicles and driving behavior data of each user (which can be obtained by analyzing the data of the related sensors of the brake pedal and the related sensors of the accelerator pedal) in the area, so that the cloud can obtain the oil consumption L per second in the idle state after the vehicle is stationary, the vehicle emission value is generally calculated to be 1.5-1.8 liters, and the fuel consumed in idle per hour is about 1-2 liters.
Step S2: judging the idle oil consumption and the ignition oil consumption in the starting time, and if the idle oil consumption is larger than the ignition oil consumption, intervening a start-stop system.
The ignition fuel consumption is specifically expressed as fuel consumption required for ignition of the engine once. Judging the idle oil consumption and the ignition oil consumption in the starting time, judging whether the vehicle is energy-saving in the idle state or energy-saving in the start-stop state, and when the idle oil consumption is greater than the ignition oil consumption, intervening a start-stop system. Specifically, the relation between the start-stop system and the ignition oil consumption is that when the start-stop system intervenes, the engine is extinguished, and when the start-stop system intervenes, the engine becomes ignited to resume operation, so that the ignition oil consumption can represent the oil consumption condition when the start-stop system intervenes.
In this way, the control strategy of the traditional start-stop system is changed, so that the true purpose of configuring the start-stop system in the configuration planning of a host factory can be achieved, the fuel economy can be improved, and the effects of energy conservation and emission reduction can be improved.
In an embodiment of the present invention, determining the idle oil consumption and the ignition oil consumption in the starting time further includes: and if the idle oil consumption is less than or equal to the ignition oil consumption, the engine keeps an idle state.
When the idle oil consumption is less than or equal to ignition oil, the idle working condition is more oil-saving, and the intervention of the start-stop system is not controlled any more, so that the intervention of the start-stop system is more reasonable, the use efficiency of the ignition coil can be reduced, and the service life of the ignition coil is prolonged.
In an embodiment of the present invention, obtaining a start time includes:
if no front vehicle exists in the starting distance of the vehicle, the deceleration time of the vehicle in the starting distance is calculated, wherein the starting distance comprises the distance from the stopping line of the current position of the vehicle. Specifically, with the development of the internet of vehicles technology, the starting time can be obtained based on intelligent algorithms such as machine learning, deep learning and the like, and can also be obtained based on diversified vehicle sensors in the vehicle.
As shown in fig. 2, taking the example of a waiting red light scene, no other vehicle in front of the host vehicle waits for a traffic light, and the host vehicle can directly stand still at the stop line. Acquiring oil consumption L per second of the vehicle in an idle state after the vehicle is stationary, and acquiring oil consumption required by ignition of an engine, namely ignition oil consumption A; the signal lamp time T1 is acquired.
If L multiplied by T1 is less than or equal to A, the engine keeps an idle state.
If the L multiplied by T1 is not less than or equal to A, the start-stop system directly intervenes in executing the control strategy which is set at the beginning of development of the vehicle, namely, engine flameout.
As shown in fig. 3, taking a traffic jam scenario as an example, no other vehicle in front of the host vehicle enters the congestion range or the congestion area, and the host vehicle may directly stand still at the maximum edge distance line of the congestion area. The congestion area can be divided based on geographic information or by default by taking the vehicle as a central point, taking a preset distance as a radius division and the like, or taking the vehicle as a clustering center, and dividing by adopting a clustering algorithm to obtain an area range affecting smooth traffic of the vehicle.
Acquiring oil consumption L per second of the vehicle in an idle state after the vehicle is stationary, and acquiring oil consumption required by ignition of an engine, namely ignition oil consumption A; the time Tj of contact congestion is acquired. Specifically, the time Tj of the contact congestion can be estimated and obtained according to the internet of vehicles technology and the existing artificial intelligence algorithm. If the L multiplied by Tj is less than or equal to A, the start-stop system directly intervenes in executing the control strategy which is set at the beginning of development of the vehicle, namely, engine flameout.
If the L multiplied by Tj is not less than or equal to A, the engine is kept in an idle state.
In an embodiment of the present invention, obtaining the starting time further includes:
if no front vehicle exists in the starting distance of the vehicle, the deceleration time of the vehicle in the starting distance is calculated, wherein the starting distance comprises the distance from the stopping line of the current position of the vehicle.
Taking a red light waiting scene as an example, as shown in fig. 4 and 5, acquiring oil consumption L per second in an idle state after a vehicle is stationary; acquiring a starting distance S1 from a current position of the vehicle to a stop line, wherein the current position of the vehicle is a pre-judging working position of a cloud;
and calculating to obtain the time T2 of the signal lamp when the vehicle passes through the starting distance S1 and is stopped at the stop line, wherein T2 can be obtained by calculating through a displacement formula based on the current speed and acceleration of the vehicle and the distance S1 between the current position of the vehicle and the stop line. The current speed, acceleration of the vehicle may be obtained based on the vehicle's sensors.
Based on the internet of vehicles technology, the cloud can comprehensively pre-judge in advance according to the sensor data of the diversified vehicles of multiple vehicles in the area, and when the vehicle reaches a stationary line, the vehicle is stationary, and the judgment is completed. Wherein the content of the pre-judgment comprises: when the vehicle passes the distance S1 until the vehicle is stationary at the stop line, whether the vehicle meets the following conditions: l is multiplied by T2 is less than or equal to A.
When the vehicle passes the distance S1 and is at rest at the stop line, if L multiplied by T2 is less than or equal to A, the cloud control start-stop system is not intervened, and the vehicle engine is kept in an idle state.
When the vehicle passes the distance S1 and is at rest at the stop line, if L multiplied by T2 is not less than or equal to A, the cloud control start-stop system intervenes, and the engine is shut down.
Preferably, the cloud end and the automobile can carry out safety handshake verification, and if the safety handshake verification is passed, the opening and non-opening operation of the start-stop system is controlled. Through the mode of safety verification, can improve the effective connection between high in the clouds and the car, prevent the mistake and connect the emergence of the condition of mistake.
The relation between the idling oil consumption L multiplied by T2 and the oil consumption A of one ignition is calculated by comparing the idling oil consumption with the oil consumption of the intervention of the start-stop system, and the optimal consumption oil consumption is calculated according to the actual waiting red light scene, so that the energy-saving effect of the automobile is improved.
In an embodiment of the present invention, when the starting time is a signal lamp time, the calculating the idle oil consumption based on the starting time and the oil consumption per second in the idle state further includes:
if the vehicle is in front of the vehicle in the starting distance, taking the signal lamp time as the starting time;
And calculating the idle oil consumption in the starting time based on the starting time and the oil consumption per second in the idle state.
Taking a red light waiting scene as an example, a vehicle is in front of the host vehicle and is waiting for a red light, and the signal lamp time is waiting time:
acquiring oil consumption L per second of the vehicle in an idle state after the vehicle is stationary, and acquiring oil consumption required by ignition of an engine, namely ignition oil consumption A; the signal lamp time T3 is acquired.
If L multiplied by T3 is less than or equal to A, the engine keeps an idle state.
If the L multiplied by T3 is not less than or equal to A, the start-stop system directly intervenes in executing the control strategy which is set at the beginning of development of the vehicle, namely, engine flameout.
Through the mode, the automobile in front of the automobile can reduce oil consumption and improve energy-saving effect under the scene of waiting for a red light.
In an embodiment of the present invention, when the starting time is an ideal starting time, the determining the idle oil consumption and the ignition oil consumption within the waiting signal lamp time further includes:
acquiring ideal starting time, wherein the ideal starting time is the time from the starting of a front vehicle to the arrival of the vehicle at a starting line; specifically, the ideal starting time indicates that the front vehicle exists in the starting distance of the vehicle, but under the condition that the front vehicle can start, the front vehicle can start to pass sequentially and without delay. Because when the delay behavior occurs, the starting time of the vehicle is increased, and the idle oil consumption in the starting time is also increased.
And updating the starting time based on the waiting signal lamp time and the ideal starting time, and judging the idle oil consumption and the ignition oil consumption in the starting time.
As shown in fig. 6-8, taking a red light waiting scenario as an example, if there is a red light waiting scenario for other vehicles in front of the host vehicle, the state of the front vehicle needs to be considered, which specifically includes:
acquiring oil consumption L per second of the vehicle in an idle state after the vehicle is stationary; calculating the time tmax=a/L of the longest idle speed supportable by the fuel consumption required for obtaining the ignition of the engine once; the method comprises the steps of obtaining the distance S2 from the current position of the vehicle to a stop line, wherein the current position of the vehicle is the position of a cloud end, namely the position of the stop line, which is a pre-judging working position; the signal lamp time T4 when the distance S2 from the current position of the vehicle to the stop line is obtained; and obtaining time T5 required by the vehicle from the start of the vehicle closest to the stop line to the start condition of the vehicle in the range of S2, wherein in the scene, all vehicles in front of the vehicle can start to pass sequentially by default, and no start delay condition exists.
Based on the scene, the cloud end can judge for 2 times to ensure the accuracy and the precision of the intervention of the start-stop system.
1 st judgment: when the vehicle reaches a stationary line, the cloud end can conduct comprehensive pre-judgment in advance according to the sensor data of the diversified vehicles of multiple vehicles in the area, and the specific pre-judgment comprises the following steps:
when the host vehicle is changed from a decelerating state to a stationary state, whether or not L× (T4+T5). Ltoreq.A is satisfied, wherein (T4+T5) indicates that when there is a scene in which other vehicles are waiting for a red light in front of the host vehicle, the conditions under which the host vehicle can start include a time T4 when the first aspect is waiting for the red light to become a green light and a time T5 when the second aspect is a time required for starting the vehicle nearest to the stop line until the host vehicle satisfies the starting conditions. The vehicle in front of the host vehicle is qualified for starting only when the red light turns to the green light, and then the host vehicle needs to meet the starting condition from the vehicle closest to the stop line after the host vehicle needs to wait for the vehicle in front to start, so that the value of L× (T4+T5) represents the fuel consumption in the time generated by the time of waiting for the host vehicle to start.
If the 1 st time of judgment does not meet the L× (T4+T5) less than or equal to A, after the vehicle decelerates within the S2 range until the vehicle is stationary, the cloud end does not perform any related next operation, and the start-stop system directly intervenes in executing the control strategy which is already set at the beginning of development of the vehicle, namely, the engine is shut down. At this time, the engine is turned off until the automobile can normally run through the traffic light intersection.
If the 1 st judgment meets L× (T4+T5) less than or equal to A, after the vehicle decelerates within the range of S1 until the vehicle is stationary, the cloud firstly actively performs safety verification related to the completion of the vehicle, and then the cloud controls a start-stop system of the vehicle, and the engine of the vehicle still keeps an idle state without intervention of execution operation. The verification that the cloud initiative and the host vehicle are completed is only one safety mode of the connection between the cloud initiative and the host vehicle, any control mode of the cloud initiative and the host vehicle for keeping the idle state is within the protection scope of the invention, and even if the cloud initiative and the host vehicle are not used, other modes for keeping the host vehicle in the idle state are within the protection scope of the invention.
On the basis that the 1 st judgment meets the L× (T4+T5) less than or equal to A, the cloud end can continue to carry out the 2 nd judgment, namely enter a continuous judgment stage, and judge whether the vehicle continuously meets the L× (T4+T5) less than or equal to A.
Specifically, taking a red light waiting scene as an example, the cloud enters a continuous judging stage, continuously acquiring the signal lamp time T4 when the distance S2 between the current position of the host vehicle and the stop line is continuously acquired, acquiring the time T5 required by the host vehicle from the start of the vehicle closest to the stop line to the start condition of the host vehicle within the range of S2, and acquiring the time for completing the start of the host vehicle as t4+t5=t6, wherein the continuous judging stage comprises the following steps:
With continued reference to fig. 6, if the traffic light changes from red to green, and if the vehicle in front of the host vehicle starts normally in sequence and sequentially, T5 is the ideal starting time, when t6=t4+t5, and t6 is less than or equal to Tmax, it indicates that the current state satisfies l× (t4+t5) < a, and at this time, the cloud will control the start-stop system of the host vehicle, and the engine of the host vehicle remains in an idle state until the host vehicle starts normally without intervention of the start-stop system.
In an embodiment of the present application, when obtaining the ideal starting time, further includes:
if the front vehicle has a starting delay behavior, acquiring additional starting time;
updating a start time based on the wait signal time, the ideal start time and the additional start time;
judging the idle oil consumption and the ignition oil consumption in the starting time, and calculating the idle oil consumption based on the starting time and the oil consumption per second in the idle state;
if the idle oil consumption is larger than the ignition oil consumption, the start-stop system intervenes.
It should be understood that the above embodiment is only one of the methods to be protected in the present application, and the embodiments may be combined to achieve the purpose of intelligent start-stop of the vehicle.
As shown in fig. 7, if the vehicles in front of the host vehicle cannot all start sequentially and sequentially as the signal lamp changes from red to green, for example, the vehicles in front of the host vehicle have a start error, and the users in front of the host vehicle do not concentrate on the attention, etc., a delay action is generated to obtain additional start time T7, so that the host vehicle cannot start normally; t6=t4+t5+t7, then the actual result may not coincide with the result satisfying l× (t4+t5) +.a in the 1 st judgment, because additional take-off time T7 is added.
It should be noted that the additional start time T7 is only a summary of the start delay behavior of the preceding vehicle, and since the number of preceding vehicles is more than one, for example, the attention deficit generation time T71 of the preceding vehicle 1, the start fault generation time T72 of the preceding vehicle 2, and so on, the waiting time of t7=t71+t72 is increased, and the start time at this time is t4+t5+t7=t6+t7.
However, because the cloud is in a continuous judging stage, the T6+T7 is required to be kept less than or equal to Tmax, because Tmax represents the time that the fuel consumption required by the engine for ignition can support the longest idling, when the cloud detects that the T6+T7 > Tmax, the fuel consumption of the idling is larger than the ignition fuel consumption, namely the fuel consumption in the idling state is larger than the intervention fuel consumption of the start-stop system, the intervention of the start-stop system is more energy-saving, at the moment, the cloud can actively perform handshake verification with the safety at the time again, and then the cloud controls the start-stop system to be started, the start-stop system to intervene, and the engine is flamed.
The idle oil consumption and the ignition oil consumption are judged in real time by continuously judging and controlling the vehicle by means of the cloud, the oil consumption condition of the vehicle before the vehicle is stationary is represented by the 1 st judging, namely the pre-judging stage, and if the idle oil consumption is higher than the ignition oil consumption at the moment, the vehicle is directly intervened by a start-stop system; if the idle oil consumption and the ignition oil consumption are not completely started, the vehicle enters a 2 nd judging and continuous judging stage, and in the judging stage, if the idle oil consumption is lower than the ignition oil consumption in the starting time not lower than Tmax, the vehicle keeps the idle stage continuously, and if the starting time is not lower than the Tmax, but the idle oil consumption is higher than the ignition oil consumption or the starting time is higher than the Tmax, the vehicle is intervened by a starting and stopping system. By the method, the intervention of the start-stop system can be controlled according to the real-time dynamic state of the automobile, and the energy-saving effect of the automobile is improved.
Similarly, as shown in fig. 9-11, in the traffic jam scenario, if there is a scenario that another vehicle waits for a red light in front of the host vehicle, the state of the preceding vehicle needs to be considered, which specifically includes:
acquiring oil consumption L per second of the vehicle in an idle state after the vehicle is stationary; calculating the time tmax=a/L of the longest idle speed supportable by the fuel consumption required for obtaining the ignition of the engine once; acquiring the maximum edge distance S3 from the current position of the vehicle to the congestion area, wherein the current position of the vehicle is the position of a cloud end pre-judging working position, namely a static line;
and acquiring the total time T8 required from the start of the vehicle closest to the maximum edge of the congestion area until the vehicle meets the start condition, wherein in the scene, all vehicles in front of the vehicle can start to pass sequentially by default, and no start delay condition exists.
Based on the scene, the cloud end can judge for 2 times to ensure the accuracy and the precision of the intervention of the start-stop system.
The 1 st judgment is a pre-judgment stage: when the vehicle reaches the pre-judging working position, the vehicle is changed from a decelerating state to a static state, the cloud end can carry out comprehensive pre-judgment in advance according to the sensor data of the diversified vehicles of multiple vehicles in the area, and the specific pre-judging content comprises:
When the speed reduction state is changed into the static state, whether L multiplied by T8 is less than or equal to A is met, wherein T8 represents the total time required for the vehicle to start from the vehicle closest to the maximum edge of the congestion area within the range of S3 until the vehicle meets the starting condition, the value of L multiplied by T8 represents the oil consumption of the vehicle in the time generated by waiting for starting, and if the oil consumption is greater than the oil consumption required by one time of engine ignition, the starting and stopping system is selected to directly intervene.
If the 1 st judgment is that the L multiplied by T8 is not less than or equal to A, the vehicle brakes in the S3 range until the vehicle is stationary, the cloud end does not perform any related next operation, and the start-stop system directly intervenes in executing the control strategy which is set at the beginning of development of the vehicle, namely, the engine is flameout.
If the 1 st judgment meets the L multiplied by T8 less than or equal to A, after the vehicle brakes in the S3 range until the vehicle is stationary, the cloud end firstly initiatively completes the related safety verification with the vehicle, and then the cloud end can control the start-stop system of the vehicle to execute operation without intervention, namely, the engine of the vehicle still keeps an idle state.
On the basis that the 1 st judgment meets L multiplied by T8 less than or equal to A, the cloud end can continue to carry out the 2 nd judgment, namely enter a continuous judgment stage, namely the cloud end can continuously execute judgment work on the diversified vehicle sensor data of multiple vehicles in the area in the T8 time, and judge whether the vehicle continuously meets L multiplied by T8 less than or equal to A.
Specifically, referring to fig. 9, the process of the 2 nd judgment, i.e. the continuous judgment stage, is as follows:
when vehicles start to move in the congestion area, if vehicles in front of the vehicle start normally in sequence and T8 is smaller than or equal to Tmax, the actual result is consistent with the result meeting L multiplied by T8 is smaller than or equal to A in the 1 st judgment, and at the moment, the cloud can control the start-stop system of the vehicle to execute operation without intervention, namely, the engine of the vehicle still keeps an idle state until the vehicle starts normally.
In an embodiment of the present application, when obtaining the ideal starting time, further includes:
if the front vehicle has a starting delay behavior, acquiring additional starting time;
updating a start time based on the wait signal time, the ideal start time and the additional start time;
judging the idle oil consumption and the ignition oil consumption in the starting time, and calculating the idle oil consumption based on the starting time and the oil consumption per second in the idle state;
if the idle oil consumption is larger than the ignition oil consumption, the start-stop system intervenes.
When a vehicle starts moving in a congested area, referring to fig. 10, if vehicles in front of the vehicle cannot all start sequentially, for example, the vehicle in front of the vehicle has a start error, the attention of a user of the vehicle in front is not concentrated, and the like, resulting in abnormal start, the actual result is inconsistent with the result that the result is l×t8 and is less than or equal to a in the 1 st judgment, the waiting time of the vehicle is additionally increased, the additional start time T9 is additionally increased, for example, the time T91 is generated when the attention of the vehicle in front is not concentrated, the time T92 is generated when the vehicle in front 2 starts to miss, and the like, the waiting time of t91+t92 is increased, and the starting time at this time is t8+t91+t92. However, because the cloud is in a continuous judging stage, T8+T91+T92 is required to be kept less than or equal to Tmax, when the cloud detects that T8+T91+T92 is greater than Tmax, the cloud can actively handshake verification with the completion of the safety handshake again, and then the cloud controls the start-stop system to be started, the start-stop system is intervened, and the engine is shut down.
Here, the energy-saving effect of the automobile can be ensured based on judging the idle oil consumption and the ignition oil consumption when the automobile is in a traffic jam scene.
In a second aspect of the present invention, as shown in fig. 12, an intelligent start-stop system based on internet of vehicles is provided, applied to cloud, and includes:
the system comprises an acquisition unit, a control unit and a control unit, wherein the acquisition unit is used for acquiring starting time, calculating idle oil consumption based on the starting time and oil consumption per second in an idle state, and the starting time comprises waiting time, ideal starting time and/or additional starting time;
and the control unit is used for judging the idle oil consumption and the ignition oil consumption in the starting time, and allowing the start-stop system to intervene if the idle oil consumption is larger than the ignition oil consumption.
In an embodiment of the present invention, the control unit is further configured to determine the idle oil consumption and the ignition oil consumption in the starting time, and if the idle oil consumption is less than or equal to the ignition oil consumption, the engine maintains an idle state.
In an embodiment of the invention, the control unit further includes a security verification unit, where the security verification unit is configured to perform security verification on the cloud end and the host vehicle when the idle oil consumption is less than or equal to the ignition oil consumption and the engine maintains the idle state.
In one embodiment of the present invention,
the acquisition unit includes:
a first acquisition subunit for
Acquiring ideal starting time, wherein the ideal starting time is the time from the starting of a front vehicle to the arrival of the vehicle at a starting line;
obtaining starting time based on the starting time of the waiting front vehicle and the ideal starting time, judging the idle oil consumption and the ignition oil consumption in the starting time, and calculating idle oil consumption based on the starting time and the oil consumption per second in an idle state;
if the idle oil consumption is larger than the ignition oil consumption, the cloud control start-stop system intervenes.
In one embodiment of the present invention,
the acquisition unit further includes:
a second acquisition subunit configured to:
if the front vehicle has a starting delay behavior, generating additional starting time;
obtaining a start time based on the wait time, the ideal start time and the additional start time;
judging the idle oil consumption and the ignition oil consumption in the starting time, and calculating the idle oil consumption based on the starting time and the oil consumption per second in the idle state;
if the idle oil consumption is larger than the ignition oil consumption, the cloud control start-stop system intervenes.
In a third aspect of the present invention, there is provided a vehicle comprising: an electronic device comprising at least one processor; and at least one memory communicatively coupled to the processor, wherein: the memory stores program instructions executable by the processor, the processor invoking the program instructions to perform the method according to the first aspect of the invention.
In a third aspect the invention provides a computer-readable storage medium, characterized in that it has stored thereon a computer program which, when executed by a computer, performs a method according to the first aspect of the invention.
It is understood that the computer-readable storage medium may include: any entity or device capable of carrying a computer program, a recording medium, a USB flash disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a software distribution medium, and so forth. The computer program comprises computer program code. The computer program code may be in the form of source code, object code, executable files, or in some intermediate form, among others. The computer readable storage medium may include: any entity or device capable of carrying computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a software distribution medium, and so forth.
In some embodiments of the present invention, the apparatus may include a controller, which is a single-chip microcomputer chip, integrated with a processor, a memory, a communication module, etc. The processor may refer to a processor comprised by the controller. The processor may be a central processing unit (Central Processing Unit, CPU), but may also be other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), off-the-shelf programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and additional implementations are included within the scope of the preferred embodiment of the present invention in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present invention.
Those of ordinary skill in the art will appreciate that the elements and algorithm steps of the examples described in connection with the embodiments disclosed herein may be embodied in electronic hardware, in computer software, or in a combination of the two, and that the elements and steps of the examples have been generally described in terms of function in the foregoing description to clearly illustrate the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention 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 invention.
Claims (14)
1. An intelligent start-stop method based on the Internet of vehicles is characterized by comprising the following steps:
acquiring starting time, and calculating idle oil consumption based on the starting time and the oil consumption per second in an idle state, wherein the starting time comprises waiting time, ideal starting time and/or additional starting time;
judging the idle oil consumption and the ignition oil consumption in the starting time, and if the idle oil consumption is larger than the ignition oil consumption, intervening a start-stop system.
2. The intelligent start-stop method of claim 1, wherein determining the idle oil consumption and the ignition oil consumption during the start-up time further comprises:
and if the idle oil consumption is less than or equal to the ignition oil consumption, the engine keeps an idle state.
3. The intelligent start-stop method of claim 1, wherein obtaining a start time comprises:
and if the vehicle is positioned at the stop line, acquiring the waiting time, wherein the waiting time comprises signal lamp time or congestion relieving time.
4. The intelligent start-stop method of claim 1 or 3, wherein obtaining a start time further comprises:
if no front vehicle exists in the starting distance of the vehicle, the deceleration time of the vehicle in the starting distance is calculated, wherein the starting distance comprises the distance from the stopping line of the current position of the vehicle.
5. The intelligent start-stop method of claim 1, wherein when the start time is a signal time, the calculating the idle oil consumption based on the start time and the oil consumption per second in the idle state further comprises:
if the vehicle is in front of the vehicle in the starting distance, taking the signal lamp time as the starting time;
and calculating the idle oil consumption in the starting time based on the starting time and the oil consumption per second in the idle state.
6. The intelligent start-stop method of claim 5, wherein when the start time is an ideal start time, determining the idle oil consumption and the ignition oil consumption in the waiting signal time further comprises:
Acquiring ideal starting time, wherein the ideal starting time is the time from the starting of a front vehicle to the arrival of the vehicle at a starting line;
and updating the starting time based on the waiting signal lamp time and the ideal starting time, and judging the idle oil consumption and the ignition oil consumption in the starting time.
7. The intelligent start-stop method according to claim 5, wherein when the ideal start time is obtained, further comprising:
if the front vehicle has a starting delay behavior, acquiring additional starting time;
the ideal start time and the additional start time update the start time based on the wait signal time.
8. Intelligent start-stop system based on car networking is applied to high in the clouds, and its characterized in that includes:
the system comprises an acquisition unit, a control unit and a control unit, wherein the acquisition unit is used for acquiring starting time, calculating idle oil consumption based on the starting time and oil consumption per second in an idle state, and the starting time comprises waiting time, ideal starting time and/or additional starting time;
and the control unit is used for judging the idle oil consumption and the ignition oil consumption in the starting time, and allowing the start-stop system to intervene if the idle oil consumption is larger than the ignition oil consumption.
9. The intelligent start-stop system of claim 8, wherein the control unit is further configured to determine the idle oil consumption and the ignition oil consumption during the start time, and if the idle oil consumption is less than or equal to the ignition oil consumption, the engine is kept in an idle state.
10. The intelligent start-stop system of claim 8, wherein the control unit further comprises a safety verification unit for performing safety verification with the host vehicle when the idle oil consumption is less than or equal to ignition oil consumption and the engine is in an idle state.
11. The intelligent start-stop system of claim 10, wherein the acquisition unit comprises:
the first acquisition subunit is used for acquiring ideal starting time, wherein the ideal starting time is the time from the starting of the front vehicle to the arrival of the vehicle at a starting line.
12. The intelligent start-stop system of claim 11, wherein the acquisition unit comprises:
the second acquisition subunit is used for generating additional starting time if the front vehicle has starting delay behavior;
based on the wait time, the ideal start time and the additional start time result in a start time.
13. A vehicle, characterized by comprising: an electronic device comprising at least one processor; and at least one memory communicatively coupled to the processor, wherein: the memory stores program instructions executable by the processor, the processor invoking the program instructions to perform the method of any of claims 1-7.
14. A computer-readable storage medium, on which a computer program is stored, which, when being run by a computer, performs the method according to any one of claims 1 to 7.
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