CN113879183A - Vehicle control method, system, device and medium based on vehicle speed spectrum analysis - Google Patents
Vehicle control method, system, device and medium based on vehicle speed spectrum analysis Download PDFInfo
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- CN113879183A CN113879183A CN202111334656.3A CN202111334656A CN113879183A CN 113879183 A CN113879183 A CN 113879183A CN 202111334656 A CN202111334656 A CN 202111334656A CN 113879183 A CN113879183 A CN 113879183A
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- vehicle speed
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- arrival time
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L58/00—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
- B60L58/30—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling fuel cells
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L2240/00—Control parameters of input or output; Target parameters
- B60L2240/10—Vehicle control parameters
- B60L2240/12—Speed
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L2250/00—Driver interactions
- B60L2250/14—Driver interactions by input of vehicle departure time
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02T90/40—Application of hydrogen technology to transportation, e.g. using fuel cells
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- Engineering & Computer Science (AREA)
- Life Sciences & Earth Sciences (AREA)
- Sustainable Development (AREA)
- Sustainable Energy (AREA)
- Power Engineering (AREA)
- Transportation (AREA)
- Mechanical Engineering (AREA)
- Electric Propulsion And Braking For Vehicles (AREA)
Abstract
The invention discloses a vehicle control method, a vehicle control system, vehicle control equipment and a vehicle control medium based on vehicle speed spectrum analysis. The vehicle control method based on vehicle speed spectrum analysis comprises the steps of S1, receiving expected arrival time Ttar input by a driver; s2, calculating the expected arrival time Tprd corresponding to the vehicle speed spectrum, and comparing the expected arrival time Tprd with the expected arrival time Ttar: s21, if the predicted arrival time Tprd is greater than or equal to the expected arrival time Ttar, controlling the vehicle to move according to the vehicle speed spectrum; and S22, if the predicted arrival time Tprd is smaller than the expected arrival time Ttar, calculating and updating the vehicle speed spectrum, and controlling the vehicle to move according to the updated vehicle speed spectrum. Vehicle control system based on vehicle speed spectral analysis includes: a transceiver module; and an operation control module. The invention also provides equipment and a medium for realizing the vehicle control method based on the vehicle speed spectrum analysis.
Description
Technical Field
The invention relates to the technical field of vehicle control, in particular to a vehicle control method, a vehicle control system, vehicle control equipment and a vehicle control medium based on vehicle speed spectrum analysis.
Background
The difficulty of the wide application of fuel cell vehicles lies in that the cost of the fuel cell and hydrogen is high, the improvement of the service life and the efficiency of the fuel cell is a key factor of the development of the fuel cell vehicle, and the energy management technology is the most effective and practical technical means at present under the condition that the fuel cell technology is difficult to have major breakthrough in a short time.
The energy management technology can effectively reduce the load change requirement of the driving working condition on the fuel cell and prolong the service life of the fuel cell; meanwhile, under the condition of meeting the requirement of a single running working condition, the instantaneous power of the working point of the fuel cell is reduced, the overall efficiency is improved, and the hydrogen consumption is reduced. Therefore, the use cost of the fuel cell automobile is reduced in the whole life cycle.
At present, the power control of the fuel cell is an optimized result obtained according to instantaneous driving requirements and the characteristics of a vehicle and parts thereof. The prior art does not consider the driving demand of a driver, the road traffic condition and the vehicle as a whole, so that the energy consumption of the current fuel cell vehicle is higher.
Disclosure of Invention
In view of the foregoing, it is an object of the present invention to provide a vehicle control method, system, device and medium based on vehicle speed spectrum analysis.
In a first aspect, the present invention provides a vehicle control method based on vehicle speed spectrum analysis, including:
s1, receiving expected arrival time Ttar input by a driver;
s2, calculating the expected arrival time Tprd corresponding to the vehicle speed spectrum, and comparing the expected arrival time Tprd with the expected arrival time Ttar:
s21, if the predicted arrival time Tprd is greater than or equal to the expected arrival time Ttar, controlling the vehicle to move according to the vehicle speed spectrum;
and S22, if the predicted arrival time Tprd is smaller than the expected arrival time Ttar, calculating and updating the vehicle speed spectrum, and controlling the vehicle to move according to the updated vehicle speed spectrum.
In one embodiment, the calculating and updating the vehicle speed spectrum includes:
s221, calculating an optimal vehicle speed interval Vopt and energy consumption Wopt of one hundred kilometers under the current vehicle configuration;
s222, calculating the speed Vpic-i of a speed section with the speed of the ith section greater than the speed section of the optimal speed section Vopt, and calculating the energy consumption Wpic-i of the ith section;
s223, calculating a deviation ratio Ki of the hundred-kilometer energy consumption Wopt to the hundred-kilometer energy consumption Wpic-i, wherein Ki is Wpic-i/Wopt;
s224, sorting the deviation proportions Ki corresponding to each speed section from large to small, and selecting the speed section with the larger deviation proportion Ki value;
s225, reducing the part of the speed section with larger deviation ratio Ki value, in which the speed is greater than the optimal speed interval Vopt, to be Tprd/Ttar times of the original speed;
s226, the vehicle speed reduced to Tprd/Ttar times of the original vehicle speed is updated into the vehicle speed spectrum.
In an embodiment of the foregoing technical solution, the selecting a speed segment with a large deviation ratio Ki value includes: the speed segment with the deviation ratio Ki value arranged in the first 50% is selected.
In one embodiment of the above technical solution, the calculating and updating the vehicle speed spectrum further includes:
and S227, returning the vehicle speed reduced by the time Tprd/Ttar of the original vehicle speed to the steps S221-S225 until the time Tprd/Ttar is equal to 1.
In a second aspect, the present invention further provides a vehicle control system based on vehicle speed spectrum analysis, including:
a transceiving module for receiving a desired arrival time Ttar input by a driver;
and the operation control module is used for calculating the predicted arrival time Tprd corresponding to the vehicle speed spectrum, and comparing the predicted arrival time Tprd with the expected arrival time Ttar:
if the predicted arrival time Tprd is greater than or equal to the expected arrival time Ttar, controlling the vehicle to travel according to the vehicle speed spectrum;
and if the predicted arrival time Tprd is less than the expected arrival time Ttar, calculating and updating the vehicle speed spectrum, and controlling the vehicle to move according to the updated vehicle speed spectrum.
In a third aspect, the present invention also provides a vehicle energy management control apparatus, the apparatus comprising a storage device for storing one or more programs and a processor;
when the one or more programs are executed by the processor, the processor implements the vehicle control method based on vehicle speed spectrum analysis as described in any one of the above.
In a fourth aspect, the present invention also provides a computer-readable storage medium storing at least one program, wherein when the program is executed by a processor, the method for controlling a vehicle based on vehicle speed spectrum analysis according to any one of the above aspects is implemented.
Compared with the prior art, the method and the device have the advantages that the expected arrival time Ttar input by the driver is received, the expected arrival time Tprd corresponding to the vehicle speed spectrum is calculated, the expected arrival time Tprd is compared with the expected arrival time Ttar, the vehicle is directly controlled to advance according to the vehicle speed spectrum, or the vehicle speed spectrum is calculated and updated, the vehicle is controlled to advance according to the updated vehicle speed spectrum, the driving requirements of the driver are combined, vehicle control based on vehicle speed spectrum analysis is achieved, the energy consumption level of the vehicle is effectively reduced, and the problems that in the prior art, the vehicle advancing control is not real-time, the control adjustment is not carried out according to the actual conditions such as the actual requirements of the driver, and the energy consumption is high are solved.
For a better understanding and practice, the invention is described in detail below with reference to the accompanying drawings.
Drawings
FIG. 1 is a block diagram of an exemplary flow of a vehicle control method based on vehicle speed spectrum analysis of the present invention.
FIG. 2 is an exemplary block diagram of a vehicle control system based on vehicle speed spectrum analysis of the present invention.
Detailed Description
The implementations described in the exemplary embodiments below are not intended to represent all implementations consistent with the present disclosure. Rather, they are merely examples of implementations consistent with certain aspects of the present disclosure.
The terminology used in the present disclosure is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. As used in this disclosure, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items.
Referring to fig. 1, fig. 1 is a block diagram illustrating an exemplary flow of a vehicle control method based on vehicle speed spectrum analysis according to the present invention.
In a first aspect, the present invention provides a vehicle control method based on vehicle speed spectrum analysis, which may be implemented by an automobile management device, and specifically includes:
s1, receiving expected arrival time Ttar input by a driver;
s2, calculating the expected arrival time Tprd corresponding to the vehicle speed spectrum, and comparing the expected arrival time Tprd with the expected arrival time Ttar:
s21, if the predicted arrival time Tprd is greater than or equal to the expected arrival time Ttar, controlling the vehicle to move according to the vehicle speed spectrum;
and S22, if the predicted arrival time Tprd is smaller than the expected arrival time Ttar, calculating and updating the vehicle speed spectrum, and controlling the vehicle to move according to the updated vehicle speed spectrum.
Specifically, in step S22, the calculating and updating the vehicle speed spectrum includes:
s221, calculating an optimal vehicle speed interval Vopt and energy consumption Wopt of one hundred kilometers under the current vehicle configuration.
S222, calculating the speed Vpic-i of the speed section with the speed of the ith section greater than the speed section of the optimal speed section Vopt, and calculating the energy consumption Wpic-i of the speed section per hundred kilometers.
And S223, calculating the deviation ratio Ki of the hundred-kilometer energy consumption Wopt to the hundred-kilometer energy consumption Wpic-i, wherein Ki is Wpic-i/Wopt.
S224, sorting the deviation proportions Ki corresponding to the speed sections from large to small, and selecting the speed section with the larger deviation proportion Ki value.
Preferably, the speed segment with the deviation ratio Ki value ranked in the first 50% is selected.
And S225, reducing the part of the speed section with the larger deviation ratio Ki value, in which the speed is greater than the optimal speed section Vopt, to be Tprd/Ttar times of the original speed.
S226, the vehicle speed reduced to Tprd/Ttar times of the original vehicle speed is updated into the vehicle speed spectrum.
Further, the calculating and updating the vehicle speed spectrum further includes:
and S227, returning the vehicle speed reduced by the time Tprd/Ttar of the original vehicle speed to the steps S221-S225 until the time Tprd/Ttar is equal to 1.
Under the condition of sufficient time, the vehicle speed is actively adjusted to the economic vehicle speed (lower), so that the transportation efficiency and the energy consumption are balanced. For the working condition segment with the vehicle speed far away from the economic vehicle speed, a larger proportion is obtained in the adjustment, so that the aim of obtaining larger energy consumption saving at the cost of using less time is achieved.
Referring further to FIG. 2, FIG. 2 is an exemplary block diagram of a vehicle control system based on vehicle speed spectrum analysis of the present invention.
In a second aspect, based on the same inventive concept, the present invention further provides a vehicle control system based on vehicle speed spectrum analysis, comprising:
a transceiving module for receiving a desired arrival time Ttar input by a driver;
and the operation control module is used for calculating the predicted arrival time Tprd corresponding to the vehicle speed spectrum, and comparing the predicted arrival time Tprd with the expected arrival time Ttar:
if the predicted arrival time Tprd is greater than or equal to the expected arrival time Ttar, controlling the vehicle to travel according to the vehicle speed spectrum;
and if the predicted arrival time Tprd is less than the expected arrival time Ttar, calculating and updating the vehicle speed spectrum, and controlling the vehicle to move according to the updated vehicle speed spectrum.
In specific implementation, the operation control module may implement:
a. and calculating the optimal vehicle speed interval Vopt and the energy consumption Wopt of one hundred kilometers under the current vehicle configuration.
b. And calculating the speed Vpic-i of the speed section with the speed of the ith section greater than the optimal speed interval Vopt, and calculating the energy consumption Wpic-i of the ith section per hundred kilometers.
c. And calculating the deviation ratio Ki of the hundred-kilometer energy consumption Wopt to the hundred-kilometer energy consumption Wpic-i, wherein Ki is Wpic-i/Wopt.
d. Sorting the deviation ratios Ki corresponding to the speed sections from large to small, and selecting the speed section with the larger deviation ratio Ki value.
Preferably, the speed segment with the deviation ratio Ki value ranked in the first 50% is selected.
e. And reducing the part of the vehicle speed which is greater than the optimal vehicle speed interval Vopt in the speed section with the larger deviation ratio Ki value to Tprd/Ttar times of the original vehicle speed.
f. And updating the vehicle speed which is reduced to Tprd/Ttar times of the original vehicle speed into the vehicle speed spectrum.
g. And returning the vehicle speed reduced to Tprd/Ttar times of the original vehicle speed to the steps S221-S225 until Tprd/Ttar is equal to 1.
In a third aspect, based on the same inventive concept, the present invention also provides a vehicle energy management control apparatus, including a storage device for storing one or more programs and a processor;
when the one or more programs are executed by the processor, the processor implements the vehicle control method based on vehicle speed spectrum analysis as described.
The device may also preferably include a communication interface for communicating with external devices and for interactive transmission of data.
It should be noted that the memory may include a high-speed RAM memory, and may also include a nonvolatile memory (nonvolatile memory), such as at least one disk memory.
In a specific implementation, if the memory, the processor and the communication interface are integrated on a chip, the memory, the processor and the communication interface can complete mutual communication through the internal interface. If the memory, the processor and the communication interface are implemented independently, the memory, the processor and the communication interface may be connected to each other through a bus and perform communication with each other.
In a fourth aspect, based on the same inventive concept, the invention also provides a computer-readable storage medium storing at least one program, characterized in that when the program is executed by a processor, the vehicle control method based on vehicle speed spectrum analysis as described is implemented.
It should be appreciated that the computer-readable storage medium is any data storage device that can store data or programs which can thereafter be read by a computer system. Examples of the computer readable storage medium include read-only memory, random-access memory, CD-ROMs, HDDs, DVDs, magnetic tapes, optical data storage devices, and the like. The computer readable storage medium can also be distributed over network coupled computer systems so that the computer readable code is stored and executed in a distributed fashion.
Program code embodied on a computer readable storage medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, Radio Frequency (RF), etc., or any suitable combination of the foregoing.
In some embodiments, the computer-readable storage medium may be non-transitory.
Compared with the prior art, the method and the device have the advantages that the expected arrival time Ttar input by the driver is received, the expected arrival time Tprd corresponding to the vehicle speed spectrum is calculated, the expected arrival time Tprd is compared with the expected arrival time Ttar, the vehicle is directly controlled to advance according to the vehicle speed spectrum, or the vehicle speed spectrum is calculated and updated, the vehicle is controlled to advance according to the updated vehicle speed spectrum, the driving requirements of the driver are combined, vehicle control based on vehicle speed spectrum analysis is achieved, the energy consumption level of the vehicle is effectively reduced, and the problems that in the prior art, the vehicle advancing control is not real-time, the control adjustment is not carried out according to the actual conditions such as the actual requirements of the driver, and the energy consumption is high are solved.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention.
Claims (7)
1. A vehicle control method based on vehicle speed spectrum analysis is characterized by comprising the following steps:
s1, receiving expected arrival time Ttar input by a driver;
s2, calculating the expected arrival time Tprd corresponding to the vehicle speed spectrum, and comparing the expected arrival time Tprd with the expected arrival time Ttar:
s21, if the predicted arrival time Tprd is greater than or equal to the expected arrival time Ttar, controlling the vehicle to move according to the vehicle speed spectrum;
and S22, if the predicted arrival time Tprd is smaller than the expected arrival time Ttar, calculating and updating the vehicle speed spectrum, and controlling the vehicle to move according to the updated vehicle speed spectrum.
2. The vehicle speed spectrum analysis-based vehicle control method according to claim 1, wherein the calculating and updating the vehicle speed spectrum includes:
s221, calculating an optimal vehicle speed interval Vopt and energy consumption Wopt of one hundred kilometers under the current vehicle configuration;
s222, calculating the speed Vpic-i of a speed section with the speed of the ith section greater than the speed section of the optimal speed section Vopt, and calculating the energy consumption Wpic-i of the ith section;
s223, calculating a deviation ratio Ki of the hundred-kilometer energy consumption Wopt to the hundred-kilometer energy consumption Wpic-i, wherein Ki is Wpic-i/Wopt;
s224, sorting the deviation proportions Ki corresponding to each speed section from large to small, and selecting the speed section with the larger deviation proportion Ki value;
s225, reducing the part of the speed section with larger deviation ratio Ki value, in which the speed is greater than the optimal speed interval Vopt, to be Tprd/Ttar times of the original speed;
s226, the vehicle speed reduced to Tprd/Ttar times of the original vehicle speed is updated into the vehicle speed spectrum.
3. The vehicle speed spectrum analysis-based vehicle control method according to claim 2, wherein the selecting the speed section with the larger deviation ratio Ki value comprises: the speed segment with the deviation ratio Ki value arranged in the first 50% is selected.
4. The vehicle speed spectrum analysis-based vehicle control method according to claim 2, wherein the calculating and updating the vehicle speed spectrum further comprises:
and S227, returning the vehicle speed reduced by the time Tprd/Ttar of the original vehicle speed to the steps S221-S225 until the time Tprd/Ttar is equal to 1.
5. A vehicle control system based on vehicle speed spectrum analysis, comprising:
a transceiving module for receiving a desired arrival time Ttar input by a driver;
and the operation control module is used for calculating the predicted arrival time Tprd corresponding to the vehicle speed spectrum, and comparing the predicted arrival time Tprd with the expected arrival time Ttar:
if the predicted arrival time Tprd is greater than or equal to the expected arrival time Ttar, controlling the vehicle to travel according to the vehicle speed spectrum;
and if the predicted arrival time Tprd is less than the expected arrival time Ttar, calculating and updating the vehicle speed spectrum, and controlling the vehicle to move according to the updated vehicle speed spectrum.
6. A vehicle energy management control apparatus, comprising a storage device for storing one or more programs and a processor;
the one or more programs, when executed by the processor, implement the vehicle speed spectrum analysis-based vehicle control method of any one of claims 1-5.
7. A computer-readable storage medium storing at least one program, which when executed by a processor, implements a vehicle control method based on vehicle speed spectrum analysis according to any one of claims 1 to 5.
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Citations (6)
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| JP2009014576A (en) * | 2007-07-05 | 2009-01-22 | Aisin Aw Co Ltd | Vehicle speed estimation apparatus, vehicle speed estimation method, and vehicle speed estimation program |
| US20140222259A1 (en) * | 2011-10-19 | 2014-08-07 | Mitsubishi Electric Corporation | Speed profile creation device and automatic train operation apparatus |
| JP5885170B1 (en) * | 2014-09-25 | 2016-03-15 | 三菱電機株式会社 | Vehicle energy management system |
| CN111645685A (en) * | 2020-06-05 | 2020-09-11 | 上海元城汽车技术有限公司 | Economic vehicle speed planning method and device, storage medium and equipment |
| CN113192347A (en) * | 2021-03-16 | 2021-07-30 | 东南大学 | Intelligent internet vehicle economical driving control method in dynamic traffic scene |
-
2021
- 2021-11-11 CN CN202111334656.3A patent/CN113879183B/en active Active
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH1139592A (en) * | 1997-07-23 | 1999-02-12 | Toyota Motor Corp | Vehicle traveling controller |
| JP2009014576A (en) * | 2007-07-05 | 2009-01-22 | Aisin Aw Co Ltd | Vehicle speed estimation apparatus, vehicle speed estimation method, and vehicle speed estimation program |
| US20140222259A1 (en) * | 2011-10-19 | 2014-08-07 | Mitsubishi Electric Corporation | Speed profile creation device and automatic train operation apparatus |
| JP5885170B1 (en) * | 2014-09-25 | 2016-03-15 | 三菱電機株式会社 | Vehicle energy management system |
| CN111645685A (en) * | 2020-06-05 | 2020-09-11 | 上海元城汽车技术有限公司 | Economic vehicle speed planning method and device, storage medium and equipment |
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| CN113879183B (en) | 2023-07-04 |
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