CN110758394B - Engine starting control method and system under traffic jam working condition, vehicle and storage medium - Google Patents

Engine starting control method and system under traffic jam working condition, vehicle and storage medium Download PDF

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Publication number
CN110758394B
CN110758394B CN201910936303.7A CN201910936303A CN110758394B CN 110758394 B CN110758394 B CN 110758394B CN 201910936303 A CN201910936303 A CN 201910936303A CN 110758394 B CN110758394 B CN 110758394B
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starting
time
engine
starting time
model
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CN110758394A (en
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李胜
庄晓
王秀鹏
孙毅
陈永锋
何俊杰
韩伟杰
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FAW Jiefang Automotive Co Ltd
FAW Jiefang Qingdao Automobile Co Ltd
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FAW Jiefang Automotive Co Ltd
FAW Jiefang Qingdao Automobile Co Ltd
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    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W30/00Purposes of road vehicle drive control systems not related to the control of a particular sub-unit, e.g. of systems using conjoint control of vehicle sub-units
    • B60W30/18Propelling the vehicle
    • B60W30/18009Propelling the vehicle related to particular drive situations
    • B60W30/18018Start-stop drive, e.g. in a traffic jam

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  • Automation & Control Theory (AREA)
  • Transportation (AREA)
  • Mechanical Engineering (AREA)
  • Combined Controls Of Internal Combustion Engines (AREA)

Abstract

The invention discloses an engine starting control method and system under a traffic jam working condition, a vehicle and a storage medium, and belongs to the technical field of automobile control systems. Wherein the method comprises the following steps: acquiring a starting time sequence under a plurality of traffic jam working conditions; calculating parameters of an AR model based on the plurality of starting time sequences, wherein the AR model is used for predicting the starting time of the current period based on the received starting time of each period; and controlling the engine to work according to the preset starting signal filtering time according to the predicted starting time of the current period. According to the method, a plurality of starting time sequence samples are obtained, the parameters of the AR model are obtained through calculation, the starting time of the current stage is predicted according to an AR model prediction formula, and then the starting signal filtering time of the engine is controlled. If the predicted starting time at the current stage is longer, the road condition congestion degree is lighter, the starting signal filtering time of the engine is controlled to be reduced, the engine is started quickly, the power performance of the whole vehicle is guaranteed, the starting and stopping frequency is reduced, and the service life of the engine is guaranteed.

Description

Engine starting control method and system under traffic jam working condition, vehicle and storage medium
Technical Field
The invention relates to the technical field of automobile control systems, in particular to a method and a system for controlling starting of an engine under a traffic jam working condition, a vehicle and a storage medium.
Background
Under the working condition of traffic jam, the situation that the engine needs to be started again in a short time after being started tends to occur due to frequent starting and stopping of the vehicle, and although the fuel consumption rate is reduced to a certain extent by repeated starting and stopping, higher requirements are provided for the use of the engine and a starter.
Disclosure of Invention
The invention aims to provide an engine starting control method, an engine starting control system, a vehicle and a storage medium under a traffic jam working condition, and the engine is prevented from being started and stopped frequently under the traffic jam working condition.
In order to realize the purpose, the following technical scheme is provided:
in a first aspect, the invention provides an engine starting control method under a traffic jam condition, comprising the following steps:
acquiring a starting time sequence under a plurality of traffic jam working conditions;
calculating parameters of an AR model based on the starting time sequences, wherein the AR model is used for predicting the starting time of the current period based on the received starting time of each period;
and controlling the engine to work according to the preset starting signal filtering time according to the predicted starting time of the current period.
Further, the controlling the engine to operate according to a preset starting signal filtering time according to the predicted starting time of the current period includes:
if the predicted starting time of the current period is smaller than or equal to a threshold value, the starting signal filtering time of the engine is T, and the threshold value and the T can be calibrated;
if the predicted current starting time is greater than the threshold, the starting signal filtering time of the engine is T + deltatIn which ΔtIs less than zero.
Further, the ΔtAnd obtaining a curve by searching the predicted starting time of the current period, wherein the curve is obtained by interpolating the starting time sequence and a starting signal filtering time sequence corresponding to the starting time sequence, and the starting signal filtering time sequence can be calibrated.
Further, after the calculating the parameters of the AR model based on the plurality of start time sequences and before the controlling the engine to operate according to the preset start signal filtering time according to the predicted start time of the current period, the method further includes:
in response to the starting time of each previous period under the current traffic jam condition, the AR model predicts the starting time of the current period.
Further, after the calculating the parameters of the AR model based on the plurality of start time sequences and before the start time of each period before the responding to the current traffic jam condition, the AR model predicts the start time of the current period, the method further includes
Verifying parameters of the AR model based on a principle of correlation.
Further, the order of the AR model is two orders, and the prediction formula of the AR model is:
xt=α1×xt-12×xt-2+at
wherein, a1And a2As a model parameter, atIs the model variance, xt-1And xt-2Respectively the starting time of the previous two periods under the current traffic jam road condition, xtIs the current starting time.
In a second aspect, the present invention further provides a system for controlling an engine start in a traffic jam condition, including:
the acquisition module is used for acquiring a starting time sequence under a plurality of traffic jam working conditions;
a training module, configured to calculate parameters of an AR model based on the plurality of start time sequences, where the AR model is configured to predict a start time of a current stage based on a received start time of each previous stage;
and the filtering control module is used for controlling the engine to work according to the preset starting signal filtering time according to the predicted starting time of the current period.
Further, still include:
the prediction module is used for responding to the starting time of each previous period under the current traffic jam road condition, and the AR model predicts the starting time of the current period;
and the verification module is used for verifying the parameters of the AR model based on the correlation principle.
In a third aspect, the present invention also provides a vehicle comprising:
one or more processors;
storage means for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement the stuck condition engine start control method as described above.
In a fourth aspect, the present invention also provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the stuck condition engine start control method as described above.
Compared with the prior art, the method and the device have the advantages that the parameters of the AR model are calculated by obtaining a plurality of starting time sequence samples, the starting time of the current stage is predicted according to the AR model prediction formula, and the starting signal filtering time of the engine is controlled according to the predicted starting time of the current stage. If the predicted starting time at the current stage is longer, the road condition congestion degree is relatively low, the filtering time of a starting signal of the engine is controlled to be reduced, the engine is started immediately after being delayed for a relatively short time, the dynamic property of the whole vehicle is guaranteed, the starting and stopping frequency is reduced, and the service life of the engine is guaranteed.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings used in the description of the embodiments of the present invention will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the contents of the embodiments of the present invention and the drawings without creative efforts.
FIG. 1 is a flowchart of a method for controlling an engine start under a traffic jam condition according to an embodiment of the present invention;
FIG. 2 is a flowchart of a method for controlling the starting of an engine under a traffic jam condition according to a second embodiment of the present invention;
FIG. 3 is a schematic diagram of an engine start control system under a traffic jam condition according to a third embodiment of the present invention;
fig. 4 is a schematic structural diagram of a vehicle according to a fourth embodiment of the present invention.
Detailed Description
In order to make the technical problems solved, technical solutions adopted and technical effects achieved by the present invention clearer, the technical solutions of the embodiments of the present invention will be described in further detail below with reference to the accompanying drawings, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example one
Fig. 1 is a flowchart of a method for controlling starting of an engine under a traffic jam condition according to an embodiment of the present invention, where the present embodiment may predict a current starting time based on collected starting times of previous periods under a current traffic jam condition, and control a starting signal filtering time of the engine according to the predicted current starting time. If the predicted starting time in the current period is longer, the congestion degree of the current road condition is relatively light, the engine is kept in a starting state as much as possible, the filtering time of a starting signal of the engine is controlled to be reduced, namely the filtering time required by starting the engine is shortened, so that the engine is started immediately after a short time, the dynamic property of the whole vehicle is ensured, the situation that the engine needs to be started again in a short time after being started is reduced, and the service life of the engine is prolonged. The method may be performed by an engine start control system in a traffic jam condition, which may be implemented in software and/or hardware, which may be deployed in a vehicle.
As shown in FIG. 1, the engine starting control method under the traffic jam condition comprises the following steps:
and S110, acquiring a starting time sequence under a plurality of traffic jam working conditions.
The traffic jam working condition can be judged manually or based on the whole vehicle controller. And the tester judges whether the traffic is blocked or not based on the observed road condition information. The vehicle controller may measure vehicle information during a driving period, such as an average vehicle speed, a time when the vehicle speed is greater than 0, and/or a length of driving time. The smaller the average vehicle speed is, the more congested the road condition is; or the longer the vehicle speed is greater than 0, the more congested the road conditions are.
The start-up time may be a duration of time during which the engine speed is not zero. Thus, under a traffic jam condition, a start time sequence can be obtained. And obtaining a starting time sequence under a plurality of traffic jam working conditions to obtain a starting time sequence sample.
And S120, calculating parameters of an AR model based on the starting time sequences, wherein the AR model is used for predicting the starting time of the current period based on the received starting time of each period before.
Based on a plurality of starting time sequence samples, parameters of an AR (autoregressive model) model can be calculated, and an AR model prediction formula is further obtained, so that the starting time of the current stage is predicted.
And S130, controlling the engine to work according to the preset starting signal filtering time according to the predicted starting time of the current period.
If the predicted starting time at the current stage is longer, the road condition congestion degree is relatively low, the engine should be kept in a starting state as much as possible, the starting and stopping frequency is reduced, the filtering time of a starting signal of the engine is controlled to be reduced, namely the filtering time required by the starting of the engine is shortened, and the engine is started immediately after the engine is delayed for a relatively short time. If the predicted starting time in the current period is short, which indicates that traffic jam is serious in the current road condition, the engine is in a closed state as much as possible, and the starting signal filtering time of the engine is increased, namely the filtering time required by starting the engine is prolonged, so that the engine is started after being delayed for a long time.
According to the technical scheme of the embodiment, the parameters of the AR model are calculated by obtaining a plurality of starting time sequence samples, the starting time of the current stage is predicted according to an AR model prediction formula, and the starting signal filtering time of the engine is controlled according to the predicted starting time of the current stage. If the predicted starting time at the current stage is longer, the road condition congestion degree is relatively low, the filtering time of a starting signal of the engine is controlled to be reduced, the engine is started immediately after being delayed for a relatively short time, the dynamic property of the whole vehicle is guaranteed, the starting and stopping frequency is reduced, and the service life of the engine is guaranteed.
Example two
Fig. 2 is a flowchart of the engine start control method in the traffic congestion condition according to the embodiment. As shown in fig. 2, the method for controlling the start of the engine under the traffic jam condition of the embodiment includes:
and S210, acquiring a starting time sequence under a plurality of traffic jam working conditions.
And S220, calculating parameters of an AR model based on the starting time sequences, wherein the AR model is used for predicting the starting time of the current period based on the received starting time of each period before.
And S230, verifying parameters of the AR model based on the correlation principle.
The model parameters are verified based on the correlation principle, which is not described herein again for the prior art.
Illustratively, the calculated and verified AR model has an order of two, and the prediction formula of the AR model is:
xt=α1×xt-12×xt-2t
wherein, α1And α2As model parameters, αtIs the model variance, xt-1And xt-2Respectively the starting time of the previous two periods under the current traffic jam road condition, xtIs the current starting time.
S240, responding to the starting time of each previous period under the current traffic jam road condition, and predicting the starting time of the current period by the AR model.
The starting time of each period before the current traffic jam road condition is collected in real time through the vehicle-mounted sensor, and the collected starting time of each period before the current traffic jam road condition is input into the verified AR model to obtain the starting time of the current period.
And under the condition that the order of the AR model is two, inputting the starting time of the two previous periods under the current traffic jam road condition into the verified AR model, so as to obtain the starting time of the current period.
And S250, if the predicted starting time of the current period is less than or equal to the threshold, the starting signal filtering time of the engine is T, and the threshold and the T can be calibrated.
The threshold is preset, such as 8s, 10s or 12s, and the action time of stepping on the accelerator by the driver can be referred to.
If the predicted starting time at the current stage is less than or equal to the threshold value, the current road condition traffic jam is serious, and the engine is started after the delay time T. Wherein T can be set.
Or the filtering time of the starting signal of the engine can be controlled to be increased, so that the filtering time of the engine starting requirement is prolonged, the engine is started after being delayed for a long time, and the vehicle is prevented from quickly recovering the braking requirement after the engine is started.
S260, if the predicted starting time of the current period is larger than the threshold value, the starting signal filtering time of the engine is T + deltatIn which ΔtIs less than zero.
If the predicted starting time of the current stage is larger than the threshold value, the current road condition congestion degree is relatively light, the engine should be kept started as much as possible, the starting and stopping frequency is reduced, the service life of the engine is ensured, and the starting signal filtering time of the engine is controlled to be T + delta at the momentt,ΔtAnd if the engine starting time is less than zero, the filtering time required by the engine starting is reduced, and the engine is started immediately after a short delay time.
Wherein, DeltatThe absolute value of (d) is proportional to the predicted current start time, the longer the predicted current start time, the shorter the start signal filtering time of the engine, and the faster the engine starts.
Preferably, ΔtFrom a predicted starting time profile of the current phase, which is derived from the starting time sequence and the starting corresponding to the starting time sequenceThe signal filtering time sequence is obtained by interpolation, and the starting signal filtering time sequence can be calibrated. Illustratively, the start time series are 10s, 15s, 20s, 25s and …, the start signal filtering time series are set as-2 s, -4s, -6s, -8s and …, and a curve is obtained by interpolation from a plurality of start time series and the corresponding start signal filtering time series, and is corrected.
According to the technical scheme of the embodiment, the parameters of the AR model are calculated by obtaining a plurality of starting time sequence samples, the starting time of the current stage is predicted according to an AR model prediction formula, and the starting signal filtering time of the engine is controlled according to the predicted starting time of the current stage. If the predicted starting time at the current stage is longer, the road condition congestion degree is relatively low, the starting signal filtering time of the engine is controlled to be reduced, the engine is started quickly, the power performance of the whole vehicle is guaranteed, the starting and stopping frequency is reduced, and the service life of the engine is guaranteed.
EXAMPLE III
The present embodiment provides a system for controlling starting of an engine under a traffic jam condition, which can predict a current starting time based on collected starting times of previous periods under a current traffic jam condition, and control a starting signal filtering time of the engine according to the predicted current starting time.
As shown in fig. 3, the engine start control system under the traffic jam condition includes:
the acquisition module is used for acquiring starting time sequence samples under a plurality of traffic jam working conditions;
the training module is used for calculating parameters of an AR model based on a plurality of starting time sequence samples, and the AR model is used for predicting the starting time of the current stage based on the received starting time of each stage before;
and the filtering control module is used for controlling the engine to work according to the preset starting signal filtering time according to the predicted starting time of the current period.
According to the technical scheme provided by the embodiment of the invention, the acquisition module is used for acquiring the starting time sequence under a plurality of traffic jam working conditions, the training module is used for acquiring the starting time based on the received starting time of each previous stage, predicting the parameters of the AR model of the starting time of the current stage, and finally the filtering control module is used for controlling the engine to work according to the predicted starting time of the current stage and the preset filtering time of the starting signal. Under the condition that the road condition congestion degree is light, namely the predicted starting time at the current stage is long, the starting signal filtering time of the engine is controlled to be reduced, so that the engine is quickly started, the dynamic property of the whole vehicle is ensured, and the starting and stopping frequency of the engine is reduced.
Further, this stifled operating mode engine start control system still includes:
the prediction module is used for responding to the starting time of each previous period under the current traffic jam road condition, and the AR model predicts the starting time of the current period;
and the verification module is used for verifying the parameters of the AR model based on the correlation principle.
The engine starting control system under the traffic jam condition provided by the embodiment of the invention can execute the engine starting control method under the traffic jam condition provided by any embodiment of the invention, and has corresponding functional modules and beneficial effects of the execution method.
Example four
Fig. 4 is a schematic structural diagram of the vehicle in the present embodiment. FIG. 4 illustrates a block diagram of an exemplary vehicle 412 suitable for use in implementing embodiments of the present invention. The vehicle 412 shown in fig. 4 is only an example and should not impose any limitation on the functionality and scope of use of embodiments of the present invention.
As shown in fig. 4, the vehicle 412 is represented in the form of a general-purpose terminal. The components of the vehicle 412 may include, but are not limited to: a vehicle body (not shown), one or more processors 416, a memory device 428, and a bus 418 that connects the various system components, including the memory device 428 and the processors 416.
Bus 418 represents one or more of any of several types of bus structures, including a memory device bus or memory device controller, a peripheral bus, an accelerated graphics port, and a processor or local bus using any of a variety of bus architectures. By way of example, such architectures include, but are not limited to, Industry Standard Architecture (ISA) bus, Micro Channel Architecture (MAC) bus, enhanced ISA bus, Video Electronics Standards Association (VESA) local bus, and Peripheral Component Interconnect (PCI) bus.
The vehicle 412 typically includes a variety of computer system readable media. Such media may be any available media that is accessible by vehicle 412 and includes both volatile and nonvolatile media, removable and non-removable media.
Storage 428 may include computer system readable media in the form of volatile Memory, such as Random Access Memory (RAM) 430 and/or cache Memory 432. The vehicle 412 may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, storage system 434 may be used to read from and write to non-removable, nonvolatile magnetic media (not shown in FIG. 4, commonly referred to as a "hard drive"). Although not shown in FIG. 4, a magnetic disk drive for reading from and writing to a removable, nonvolatile magnetic disk (e.g., a "floppy disk") and an optical disk drive for reading from or writing to a removable, nonvolatile optical disk such as a Compact disk Read-Only Memory (CD-ROM), Digital Video disk Read-Only Memory (DVD-ROM) or other optical media may be provided. In these cases, each drive may be connected to bus 418 by one or more data media interfaces. Storage 428 may include at least one program product having a set (e.g., at least one) of program modules that are configured to carry out the functions of embodiments of the invention.
A program/utility 440 having a set (at least one) of program modules 442 may be stored, for instance, in storage 428, such program modules 442 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each of which examples or some combination thereof may comprise an implementation of a network environment. The program modules 442 generally perform the functions and/or methodologies of the described embodiments of the invention.
The vehicle 412 may also communicate with one or more external devices 414 (e.g., keyboard, pointing terminal, display 424, etc.), with one or more terminals that enable a user to interact with the vehicle 412, and/or with any terminals (e.g., network card, modem, etc.) that enable the vehicle 412 to communicate with one or more other computing terminals. Such communication may occur via input/output (I/O) interfaces 422. Also, the vehicle 412 may communicate with one or more networks (e.g., a Local Area Network (LAN), Wide Area Network (WAN), and/or a public Network, such as the internet) via the Network adapter 420. As shown in FIG. 4, the network adapter 420 communicates with the other modules of the vehicle 412 over the bus 418. It should be appreciated that although not shown in the figures, other hardware and/or software modules may be used in conjunction with the vehicle 412, including but not limited to: microcode, end drives, Redundant processors, external disk drive Arrays, RAID (Redundant Arrays of Independent Disks) systems, tape drives, and data backup storage systems, among others.
The processor 416 executes programs stored in the storage device 428 to perform various functional applications and data processing, such as implementing a method for controlling an engine start in a traffic congestion condition according to an embodiment of the present invention, the method comprising:
and acquiring a starting time sequence under a plurality of traffic jam working conditions.
Parameters of an AR model are calculated based on the plurality of startup time sequences, the AR model is used for predicting the startup time of the current period based on the received startup time of each period before.
And controlling the engine to work according to the preset starting signal filtering time according to the predicted starting time of the current period.
EXAMPLE five
The present embodiment provides a computer-readable storage medium on which a computer program is stored, the program, when executed by a processor, implementing a method for controlling an engine start in a stuck condition according to an embodiment of the present invention, the method including:
and acquiring a starting time sequence under a plurality of traffic jam working conditions.
Parameters of an AR model are calculated based on the plurality of startup time sequences, the AR model is used for predicting the startup time of the current period based on the received startup time of each period before.
And controlling the engine to work according to the preset starting signal filtering time according to the predicted starting time of the current period.
Computer storage media for embodiments of the invention may employ any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + +, or the like, as well as conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or terminal. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.

Claims (8)

1. An engine starting control method under a traffic jam condition is characterized by comprising the following steps:
acquiring a starting time sequence under a plurality of traffic jam working conditions;
calculating parameters of an AR model based on the starting time sequences, wherein the AR model is used for predicting the starting time of the current period based on the received starting time of each period;
controlling the engine to work according to preset starting signal filtering time according to the predicted starting time of the current period;
the control of the engine according to the predicted current starting time and the preset starting signal filtering time comprises the following steps:
if the predicted starting time of the current period is smaller than or equal to a threshold value, the starting signal filtering time of the engine is T, and the threshold value and the T can be calibrated;
if the predicted current starting time is greater than the threshold, the starting signal filtering time of the engine is T + deltatIn which ΔtLess than zero;
said ΔtAnd obtaining a curve by searching the predicted starting time of the current period, wherein the curve is obtained by interpolating the starting time sequence and a starting signal filtering time sequence corresponding to the starting time sequence, and the starting signal filtering time sequence can be calibrated.
2. The method of claim 1, wherein after the calculating the parameters of the AR model based on the plurality of start time sequences and before the controlling the engine to operate according to a preset start signal filtering time according to the predicted start time of the current period, the method further comprises:
in response to the starting time of each previous period under the current traffic jam condition, the AR model predicts the starting time of the current period.
3. The stuck condition engine start control method of claim 2, wherein after the calculating parameters of the AR model based on the plurality of start time sequences and before the AR model predicts the start time of the current period at the start time of the previous periods in response to the current stuck condition, the method further comprises:
verifying parameters of the AR model based on a principle of correlation.
4. The method for controlling starting of an engine under a traffic congestion condition according to any one of claims 1 to 3, wherein the order of the AR model is two orders, and the prediction formula of the AR model is as follows:
xt=α1×xt-12×xt-2t
wherein, α1And α2As model parameters, αtIs the model variance, xt-1And xt-2Respectively the starting time of the previous two periods under the current traffic jam road condition, xtIs the current starting time.
5. An engine start control system under a traffic jam condition, comprising:
the acquisition module is used for acquiring a starting time sequence under a plurality of traffic jam working conditions;
a training module, configured to calculate parameters of an AR model based on the plurality of start time sequences, where the AR model is configured to predict a start time of a current stage based on a received start time of each previous stage;
and the filtering control module is used for controlling the engine to work according to the preset starting signal filtering time according to the predicted starting time of the current period.
6. The locked condition engine start control system of claim 5, further comprising:
the prediction module is used for responding to the starting time of each previous period under the current traffic jam road condition, and the AR model predicts the starting time of the current period;
and the verification module is used for verifying the parameters of the AR model based on the correlation principle.
7. A vehicle, characterized in that the vehicle comprises:
one or more processors;
storage means for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement the stuck condition engine start control method of any one of claims 1-4.
8. A computer-readable storage medium, on which a computer program is stored, which program, when being executed by a processor, is adapted to carry out the stuck condition engine start control method according to any one of claims 1-4.
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Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE10129878A1 (en) * 2001-06-21 2003-02-27 Conti Temic Microelectronic Automatic engine shutdown / starter system for motor vehicles and method for its operation
DE102011107142A1 (en) * 2010-07-22 2012-01-26 Gm Global Technology Operations Llc (N.D.Ges.D. Staates Delaware) Method for controlling the start / stop of a vehicle at a traffic light
CN106004884A (en) * 2016-07-11 2016-10-12 南昌工学院 Method and system for realizing real-time identification and danger judgment of road conditions based on complex sensing
CN106404159A (en) * 2016-06-14 2017-02-15 北京航天控制仪器研究所 Continuous vibration transmission spectrum determination method of rocket sled test
CN106762316A (en) * 2017-03-03 2017-05-31 吉林大学 The intelligent on-off control method of duration prediction is spaced based on micro travel
CN106909993A (en) * 2017-03-03 2017-06-30 吉林大学 Markov Chain micro travel based on space-time study is spaced duration prediction method
CN108021856A (en) * 2016-10-31 2018-05-11 比亚迪股份有限公司 Light for vehicle recognition methods, device and vehicle
CN109085837A (en) * 2018-08-30 2018-12-25 百度在线网络技术(北京)有限公司 Control method for vehicle, device, computer equipment and storage medium

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR100706349B1 (en) * 2005-08-30 2007-04-10 현대자동차주식회사 A method for controlling starting performance in vehicle adopting LPI engine
US8192324B2 (en) * 2009-11-13 2012-06-05 Ford Global Technologies, Llc Vehicle and method for controlling engine start in a vehicle

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE10129878A1 (en) * 2001-06-21 2003-02-27 Conti Temic Microelectronic Automatic engine shutdown / starter system for motor vehicles and method for its operation
DE102011107142A1 (en) * 2010-07-22 2012-01-26 Gm Global Technology Operations Llc (N.D.Ges.D. Staates Delaware) Method for controlling the start / stop of a vehicle at a traffic light
CN106404159A (en) * 2016-06-14 2017-02-15 北京航天控制仪器研究所 Continuous vibration transmission spectrum determination method of rocket sled test
CN106004884A (en) * 2016-07-11 2016-10-12 南昌工学院 Method and system for realizing real-time identification and danger judgment of road conditions based on complex sensing
CN108021856A (en) * 2016-10-31 2018-05-11 比亚迪股份有限公司 Light for vehicle recognition methods, device and vehicle
CN106762316A (en) * 2017-03-03 2017-05-31 吉林大学 The intelligent on-off control method of duration prediction is spaced based on micro travel
CN106909993A (en) * 2017-03-03 2017-06-30 吉林大学 Markov Chain micro travel based on space-time study is spaced duration prediction method
CN109085837A (en) * 2018-08-30 2018-12-25 百度在线网络技术(北京)有限公司 Control method for vehicle, device, computer equipment and storage medium

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
汽车怠速停止启动测控***;黄大星等;《现代科学仪器》;20100415(第2期);第34-37页 *

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