CN109484391B - Vehicle energy management method and related equipment - Google Patents
Vehicle energy management method and related equipment Download PDFInfo
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- CN109484391B CN109484391B CN201811061769.9A CN201811061769A CN109484391B CN 109484391 B CN109484391 B CN 109484391B CN 201811061769 A CN201811061769 A CN 201811061769A CN 109484391 B CN109484391 B CN 109484391B
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT 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
- B60W20/00—Control systems specially adapted for hybrid vehicles
- B60W20/10—Controlling the power contribution of each of the prime movers to meet required power demand
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60H—ARRANGEMENTS OF HEATING, COOLING, VENTILATING OR OTHER AIR-TREATING DEVICES SPECIALLY ADAPTED FOR PASSENGER OR GOODS SPACES OF VEHICLES
- B60H1/00—Heating, cooling or ventilating [HVAC] devices
- B60H1/00357—Air-conditioning arrangements specially adapted for particular vehicles
- B60H1/00385—Air-conditioning arrangements specially adapted for particular vehicles for vehicles having an electrical drive, e.g. hybrid or fuel cell
- B60H1/004—Air-conditioning arrangements specially adapted for particular vehicles for vehicles having an electrical drive, e.g. hybrid or fuel cell for vehicles having a combustion engine and electric drive means, e.g. hybrid electric vehicles
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60H—ARRANGEMENTS OF HEATING, COOLING, VENTILATING OR OTHER AIR-TREATING DEVICES SPECIALLY ADAPTED FOR PASSENGER OR GOODS SPACES OF VEHICLES
- B60H1/00—Heating, cooling or ventilating [HVAC] devices
- B60H1/00642—Control systems or circuits; Control members or indication devices for heating, cooling or ventilating devices
- B60H1/00735—Control systems or circuits characterised by their input, i.e. by the detection, measurement or calculation of particular conditions, e.g. signal treatment, dynamic models
- B60H1/00764—Control systems or circuits characterised by their input, i.e. by the detection, measurement or calculation of particular conditions, e.g. signal treatment, dynamic models the input being a vehicle driving condition, e.g. speed
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT 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
- B60W2510/00—Input parameters relating to a particular sub-units
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Abstract
The invention discloses a vehicle energy management method and related equipment, wherein the method comprises the following steps: acquiring the ambient temperature of the area where the driving route is located; determining a first predicted energy consumption of the vehicle according to the ambient temperature and the regulated temperature of the thermal management system; the first predicted energy consumption is an energy consumption prediction value of the thermal management system on the driving route. According to the vehicle energy management method provided by the invention, the ambient temperature of the driving route is more accurate than the regulation and control temperature of the thermal management system, and the first predicted energy consumption determined according to the ambient temperature and the regulation and control temperature is more accurate, so that the accuracy of energy management can be improved, and the energy management effect is further improved.
Description
Technical Field
The invention relates to the technical field of vehicles, in particular to a vehicle energy management method and related equipment.
Background
With the development of vehicle technology, hybrid vehicles have also been rapidly developed. An important and difficult aspect of hybrid vehicle technology is the energy management strategy. Due to uncertainty of working conditions of the hybrid vehicle, the energy management strategy of the general hybrid vehicle adopts a control strategy based on a logic threshold, and the energy consumption of the vehicle cannot be accurately estimated, so that the effect of vehicle energy management is poor. It can be seen that the existing vehicle has the problem of poor energy management effect.
Disclosure of Invention
The embodiment of the disclosure provides a vehicle energy management method and related equipment, which are used for solving the problem that the existing vehicle is poor in energy management effect.
In order to solve the technical problem, the invention is realized as follows:
in a first aspect, an embodiment of the present invention provides a vehicle energy management method, including:
acquiring the ambient temperature of the area where the driving route is located;
determining a first predicted energy consumption of the vehicle according to the ambient temperature and the regulated temperature of the thermal management system; the first predicted energy consumption is an energy consumption prediction value of the thermal management system on the driving route.
In a second aspect, an embodiment of the present invention provides a vehicle energy management apparatus, including:
the first acquisition module is used for acquiring the ambient temperature of the area where the driving route is located;
the first determining module is used for determining first predicted energy consumption of the vehicle according to the environment temperature and the regulation and control temperature of the thermal management system; the first predicted energy consumption is an energy consumption prediction value of the thermal management system on the driving route.
In a third aspect, an embodiment of the present invention provides a vehicle energy management device, including a processor, a memory, and a computer program stored on the memory and operable on the processor, where the computer program, when executed by the processor, implements the steps of the vehicle energy management method described above.
In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the computer program implements the steps of the vehicle energy management method described above.
In the embodiment of the invention, the ambient temperature of the area where the driving route is located is obtained; and determining a first predicted energy consumption of the thermal management system on the driving route according to the environment temperature and the regulating temperature of the thermal management system. Therefore, the ambient temperature of the driving route is more accurate than the regulation and control temperature of the thermal management system, and the first predicted energy consumption determined according to the ambient temperature and the regulation and control temperature is more accurate, so that the accuracy of energy management can be improved, and the energy management effect is further improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present disclosure, the drawings needed to be used in the description of the embodiments of the present disclosure will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present disclosure, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without inventive labor.
FIG. 1 is a flow chart of a method for vehicle energy management provided by an embodiment of the present invention;
FIG. 2 is a second flowchart of a method for vehicle energy management according to an embodiment of the present invention;
FIG. 3 is one of the block diagrams of a vehicle energy management device according to an embodiment of the present invention;
FIG. 4 is a second block diagram of a vehicle energy management device according to an embodiment of the present invention;
FIG. 5 is a third block diagram of a vehicle energy management device according to an embodiment of the present invention;
FIG. 6 is a fourth block diagram of a vehicle energy management device according to an embodiment of the present invention;
FIG. 7 is a fifth structural view of a vehicle energy management device according to an embodiment of the present invention;
FIG. 8 is a sixth structural view of a vehicle energy management device according to an embodiment of the present invention;
FIG. 9 is a seventh block diagram of a vehicle energy management device according to an embodiment of the present invention;
fig. 10 is a structural diagram of a terminal device according to an embodiment of the present invention.
Detailed Description
Technical solutions in the embodiments of the present disclosure will be clearly and completely described below with reference to the drawings in the embodiments of the present disclosure, and it is apparent that the described embodiments are some, not all, of the embodiments of the present disclosure. All other embodiments, which can be derived by a person skilled in the art from the embodiments disclosed herein without making any creative effort, shall fall within the protection scope of the present disclosure.
Referring to fig. 1, fig. 1 is a flowchart of a vehicle energy management method according to an embodiment of the present invention, where the vehicle energy management method may be applied to a vehicle energy management device, as shown in fig. 1, and includes the following steps:
In the present embodiment, the travel route may be a route from the current position to the target position determined by the navigation system. The area where the travel route is located refers to an area where the travel route is routed, and in the case where the distance between the current position and the target position is relatively large, the ambient temperature of the area where the travel route is located may be different, for example, the ambient temperature of the current position may be higher than the ambient temperature of the target position. It is understood that the ambient temperature may be obtained from weather forecast information of an area where the travel route is located. The environmental temperature of the area where the driving route is located may be acquired in advance for a period of time, for example, several hours in advance, or 1 day in advance, and the specific advance time may be set according to the accuracy of the weather forecast for the area, which is not limited herein.
And step 102, determining a first predicted energy consumption of the vehicle according to the environment temperature and the regulating temperature of the thermal management system.
In this embodiment, the first predicted energy consumption is an energy consumption predicted value of the thermal management system on the driving route. The heat management system comprises subsystems such as a whole vehicle battery, an engine and a passenger compartment which need temperature control. It should be noted that, since the temperature of the subsystems such as the vehicle battery, the engine, and the passenger compartment may change due to the influence of the ambient temperature, in order to ensure that the subsystems such as the vehicle battery, the engine, and the passenger compartment can operate normally, it is necessary to control the temperature of the subsystems such as the vehicle battery, the engine, and the passenger compartment. The regulated temperature is a temperature within a normal working temperature range corresponding to each thermal management subsystem of the thermal management system.
The normal operating temperature range of each thermal management subsystem in the thermal management system may be different. For example, the normal working temperature range of the battery of the whole vehicle is 20-25 ℃, the normal working temperature range of the engine is 85-105 ℃, the regulation and control temperature of the normal working of the passenger compartment is 25-27 ℃, and the normal working temperature ranges of other thermal management subsystems are determined according to actual requirements and are not limited herein.
The regulation and control temperature of the thermal management system can be determined according to the size relationship between the ambient temperature and the temperature in the normal working temperature range of the thermal management system, and the regulation and control temperature can be the temperature of which the difference between the ambient temperature and the temperature in the normal working temperature range of the thermal management system is smaller than a preset threshold value. In this way, the energy consumption can be reduced as much as possible, and the first predicted energy consumption of the thermal management system on the driving route can be accurately calculated.
In particular, the regulated temperature may be a temperature within a normal operating temperature range of the thermal management system that has a minimal gap from ambient temperature. For example, if the normal operating temperature range of the first thermal management subsystem is 30-35 degrees celsius, when the ambient temperature is 20 degrees celsius, the regulated temperature of the first thermal management subsystem is determined to be 30 degrees celsius, and when the ambient temperature is 40 degrees celsius, the regulated temperature of the first thermal management subsystem is determined to be 35 degrees celsius, so that the predicted energy consumption of each thermal management subsystem on the driving route can be determined, and the sum of the predicted energy consumption of all the thermal management subsystems of the thermal management system is taken as the first predicted energy consumption of the thermal management system.
According to the vehicle energy management method, the ambient temperature of the area where the driving route is located is obtained; determining a first predicted energy consumption of the vehicle according to the ambient temperature and the regulated temperature of the thermal management system; the first predicted energy consumption is an energy consumption prediction value of the thermal management system on the driving route. Therefore, the ambient temperature of the driving route is more accurate than the regulation and control temperature of the thermal management system, and the first predicted energy consumption determined according to the ambient temperature and the regulation and control temperature is more accurate, so that the accuracy of energy management can be improved, and the energy management effect is further improved.
Referring to fig. 2, fig. 2 is a flowchart of a vehicle energy management method according to an embodiment of the present invention, where the vehicle energy management method may be applied to a vehicle energy management device, as shown in fig. 2, and includes the following steps:
The implementation process and beneficial effects of this step can be referred to the description in step 101, and are not described herein again.
In this embodiment, if the vehicle travels on the travel route for multiple times, the historical temperatures of the thermal management system on the travel route may be obtained, and the temperature in the historical temperatures that belongs to the normal operating temperature range is used as the regulated temperature. For example, if the historical temperature of the thermal management system on the driving route is 29 and 34 degrees centigrade, and the normal working temperature range is 30-35 degrees centigrade, 34 degrees centigrade can be used as the regulation temperature.
Therefore, the regulated temperature determined according to the normal working temperature range of the thermal management system and the historical temperature on the driving line is closer to the temperature which can be actually achieved by the thermal management system, the temperature regulation accuracy of the thermal management system can be improved, and the energy consumption is reduced.
And step 203, determining a first predicted energy consumption of the vehicle according to the environment temperature and the regulating temperature of the thermal management system.
Optionally, the step 203 may include the following steps:
determining heating energy consumption and/or cooling energy consumption required for adjusting the temperature of the thermal management system to the regulated temperature at the ambient temperature according to the corresponding relation between the temperature change and the heat change of the thermal management system;
obtaining the first predicted energy consumption according to the heating energy consumption and/or the cooling energy consumption.
In this embodiment, the correspondence between the temperature change and the heat change of the thermal management system may be generated by historical temperature data and historical heat data of the thermal management system. Because the thermal management system comprises a plurality of thermal management subsystems, the corresponding relationship between the temperature change and the heat change of the thermal management system also comprises the corresponding relationship between the temperature change and the heat change of the plurality of thermal management subsystems.
In order to realize temperature control, when the temperature of the thermal management subsystem is higher than the regulated temperature, the thermal management system is cooled to the regulated temperature through cooling operation, and thus the cooling operation needs corresponding cooling energy consumption. When the temperature of the thermal management subsystem is lower than the regulation temperature, the thermal management system is heated to the regulation temperature through heating operation, and therefore corresponding heating energy consumption is needed for the heating operation. It will be appreciated that on the driving route, for different thermal management subsystems, corresponding cooling energy consumption may be required, as well as corresponding heating energy consumption. For the same thermal management subsystem, a corresponding cooling energy consumption may be required for a certain section of the entire driving route and a corresponding heating energy consumption may be required for other sections of the entire driving route.
Therefore, the heating energy consumption and the cooling energy consumption of the thermal management system are fully considered, so that the obtained first predicted energy consumption of the thermal management system is accurate, the accuracy of energy management can be improved, and the energy management effect is improved.
It should be noted that, after step 103 in the embodiment shown in fig. 1, the following steps may also be included:
acquiring historical additional operation on the driving route;
acquiring historical additional energy consumption corresponding to the historical additional operation;
modifying the first predicted energy consumption based on the historical additional energy consumption.
In the above embodiment, the history addition operation includes an operation of opening a door, opening a sunroof, opening a window, or the like on the travel route, which affects the temperature of the entire vehicle and is not directly related to the travel of the vehicle. Therefore, the energy consumption of the thermal management system on the driving route can be corrected according to the historical additional energy consumption, and the accuracy of the energy consumption of the thermal management system on the driving route is further improved.
Optionally, after the correcting the first predicted energy consumption according to the historical additional energy consumption, the method may further include:
obtaining parking energy consumption corresponding to the historical parking events of the driving route;
correcting a second predicted energy consumption of the vehicle based on the parking energy consumption; the second predicted energy consumption is an energy consumption predicted value of the driving system acquired in advance;
and determining an optimal energy management strategy corresponding to the driving route according to the corrected first predicted energy consumption, the corrected second predicted energy consumption, the vehicle initial state and the boundary conditions.
In the above embodiment, during the vehicle driving process, the parking energy consumption corresponding to the historical parking event may be stored in the database of the internet of vehicles, for example, due to the need to purchase items, the vehicle often parks at the first shop location on the driving route, during the parking process for a short or long time, the parking energy consumption is generated accordingly, and the information of the historical parking event and the parking energy consumption at the first shop location may be stored in the database of the internet of vehicles.
Optionally, before the correcting the second predicted energy consumption of the vehicle according to the parking energy consumption, the method may further include the following steps:
determining the second predicted energy consumption of the vehicle based on historical navigation data and driver style of the travel route.
In the present embodiment, the navigation data includes congestion conditions, traffic control conditions, departure points, destinations, and the like on the travel route, and the travel route with the shortest travel time, the travel route with the shortest travel distance, the travel route with the smallest travel energy, and the like can be determined from the navigation data. The identity information number of the driver can be acquired through a database of the internet of vehicles, and the driving behavior data of the driver is acquired according to the identity information of the driver, wherein the driving behavior book comprises vehicle speed, acceleration, opening degree and change rate of an accelerator pedal, opening degree and change rate of a brake pedal, switching frequency of the accelerator pedal and the brake pedal and the like. The driving style/driving habits of the driver may be determined from the driving behavior data of the driver. Since the navigation data and the driving style/driving habit have a very large influence on the energy consumption of the drive system, the accuracy of the second energy consumption of the drive system determined from the navigation data and the driving style/driving habit is relatively high.
In addition, after the second energy consumption is corrected in combination with the parking energy consumption of the historical parking event on the driving route, the accuracy of the energy consumption of the driving system on the driving route can be further improved.
In this embodiment, the initial state of the entire vehicle includes: initial state of charge of the battery of the whole vehicle and oil mass of an oil tank; the boundary conditions include: the engine is prohibited to work within the preset time, and the reserved electric quantity of the battery of the whole vehicle is matched with the preset temperature.
It is understood that the preset time can be customized according to requirements, for example, due to zero emission restriction requirements, when the vehicle is prohibited from using the engine for driving in the time period from the first time to the second time, the time period from the first time to the second time is taken as the preset time, that is, the engine is prohibited from operating in the time period from the first time to the second time, and the engine is not used for fuel consumption and does not operate in the time period from the first time to the second time. Due to the performance requirement of the whole vehicle battery, under the condition of extreme low-temperature weather, the electric quantity needs to be reserved in advance by combining weather forecast information, so that the normal starting and running of the vehicle at low temperature are ensured, and the reserved electric quantity of the whole vehicle battery matched with the preset temperature can be set in advance. For example, when the preset temperature is 0 degrees celsius, the reserved amount of the battery of the whole vehicle corresponding to the matching may be set to 40%, and when the preset temperature is-5 degrees celsius, the reserved amount of the battery of the whole vehicle corresponding to the matching may be set to 50%, which is not described herein again.
Optionally, the determining an optimal energy management strategy corresponding to the driving route according to the corrected first predicted energy consumption, the corrected second predicted energy consumption, the vehicle initial state, and the boundary condition includes:
determining first electric energy provided by the whole vehicle battery according to the initial charge state of the whole vehicle battery and the reserved electric quantity of the whole vehicle battery matched with a preset temperature;
determining second electric energy provided by the engine according to the oil quantity of the oil tank and the prohibition of the engine in the preset time;
the sum of the first electric energy and the second electric energy is equivalent to the sum of the corrected first predicted energy consumption and the corrected second predicted energy consumption, and the sum of the energy consumption required by the engine to provide the first electric energy and the energy consumption required by the vehicle battery to provide the second electric energy is the minimum.
In the above embodiment, a global optimal solution of the hybrid vehicle may be obtained based on an energy management strategy of a Pointryagin's Minimum Principle (PMP), the entire vehicle battery is distributed to provide the first electric energy according to the global optimal solution, an initial charge state of the entire vehicle battery, and the reserved electric quantity of the entire vehicle battery matching a preset temperature, the engine is prohibited to work to distribute the second electric energy according to the global optimal solution, the oil quantity of the oil tank, and the preset time, so that the energy sum of the first electric energy and the second electric energy is equivalent to the consumption sum of the corrected first predicted energy consumption and the corrected second predicted energy consumption, and the energy consumption sum required by the engine to provide the first electric energy and the energy consumption sum required by the entire vehicle battery to provide the second electric energy is the Minimum, so that the entire vehicle battery and the engine can work efficiently as much as possible, the energy loss is reduced.
Therefore, the energy management strategy can be optimized to the maximum extent, and an optimal solution is provided for the energy consumption of the hybrid electric vehicle, so that the energy consumption can be reduced, and the driving range of the whole vehicle can be increased.
According to the vehicle energy management method, the ambient temperature of the area where the driving route is located is obtained; determining the regulation temperature of the thermal management system according to the normal working temperature range of the thermal management system and the historical temperature of the thermal management system on the driving route; determining a first predicted energy consumption of the vehicle according to the ambient temperature and the regulated temperature of the thermal management system; the first predicted energy consumption is an energy consumption prediction value of the thermal management system on the driving route. Therefore, the ambient temperature of the driving route is more accurate than the regulation and control temperature of the thermal management system, and the first predicted energy consumption determined according to the ambient temperature and the regulation and control temperature is more accurate, so that the accuracy of energy management can be improved, and the energy management effect is further improved.
Referring to fig. 3, fig. 3 is a structural diagram of a vehicle energy management device according to an embodiment of the present invention, and as shown in fig. 3, a vehicle energy management device 300 includes: a first obtaining module 301 and a first determining module 302, where the first obtaining module 301 is connected to the first determining module 302, and:
a first obtaining module 301, configured to obtain an ambient temperature of an area where a driving route is located;
a first determining module 302, configured to determine a first predicted energy consumption of the thermal management system on the driving route according to the ambient temperature and a regulated temperature of the thermal management system.
Optionally, the regulated temperature is a temperature within a normal working temperature range corresponding to each of the thermal management subsystems of the thermal management system.
Optionally, as shown in fig. 4, the vehicle energy management device 300 further includes:
and a second determining module 303, configured to determine a regulation and control temperature of the thermal management system according to a normal operating temperature range of the thermal management system and a historical temperature of the thermal management system on the driving route.
Optionally, as shown in fig. 5, the first determining module 302 includes:
a determining submodule 3021, configured to determine, according to a correspondence between a temperature change and a heat change of the thermal management system, heating energy consumption and/or cooling energy consumption required to adjust the temperature of the thermal management system to the regulation temperature at the ambient temperature;
a processing submodule 3022, configured to derive the first predicted energy consumption from the heating energy consumption and/or the cooling energy consumption.
Optionally, as shown in fig. 6, the vehicle energy management device 300 further includes:
a second obtaining module 304, configured to obtain a historical additional operation on the driving route;
a third obtaining module 305, configured to obtain a historical additional energy consumption corresponding to the historical additional operation;
a first modification module 306 for modifying the first predicted energy consumption based on the historical additional energy consumption.
Optionally, as shown in fig. 7, the vehicle energy management device 300 further includes:
a fourth obtaining module 307, configured to obtain parking energy consumption corresponding to a historical parking event of the driving route;
a second correction module 308 for correcting a second predicted energy consumption of the vehicle based on the parking energy consumption; the second predicted energy consumption is an energy consumption predicted value of the driving system acquired in advance;
and a third determining module 309, configured to determine an optimal energy management policy corresponding to the driving route according to the corrected first predicted energy consumption, the corrected second predicted energy consumption, the vehicle initial state, and the boundary condition.
Optionally, as shown in fig. 8, the vehicle energy management device 300 further includes:
the processing module 3081 is configured to determine the second predicted energy consumption of the vehicle according to the historical navigation data of the driving route and the driver style.
Optionally, the initial state of the entire vehicle includes: initial state of charge of the battery of the whole vehicle and oil mass of an oil tank;
the boundary conditions include: the engine is prohibited to work within the preset time, and the reserved electric quantity of the battery of the whole vehicle is matched with the preset temperature.
Optionally, as shown in fig. 9, the third determining module 309 includes:
the first determining submodule 3091 is used for determining first electric energy provided by the whole vehicle battery according to the initial charge state of the whole vehicle battery and the reserved electric quantity of the whole vehicle battery matched with the preset temperature;
the second determining submodule 3092 is used for determining second electric energy provided by the engine according to the oil quantity of the oil tank and the prohibition of the engine in the preset time;
the sum of the first electric energy and the second electric energy is equivalent to the sum of the corrected first predicted energy consumption and the corrected second predicted energy consumption, and the sum of the energy consumption required by the engine to provide the first electric energy and the energy consumption required by the vehicle battery to provide the second electric energy is the minimum.
The vehicle energy management device 300 can implement each process implemented by the vehicle management device in the method embodiments of fig. 1 and fig. 2, and is not described herein again to avoid repetition.
According to the vehicle energy management device 300 provided by the embodiment of the invention, the ambient temperature of the driving route is more accurate than the regulation and control temperature of the thermal management system, and the first predicted energy consumption determined according to the ambient temperature and the regulation and control temperature is more accurate, so that the accuracy of energy management can be improved, and the energy management effect is further improved.
Referring to fig. 10, fig. 10 is a structural diagram of a terminal device according to an embodiment of the disclosure. As shown in fig. 10, the terminal device 1000 includes: a processor 1001, a bus interface and transceiver 1002, wherein:
a processor 1001 configured to acquire an ambient temperature of an area where a travel route is located; determining a first predicted energy consumption of the vehicle according to the ambient temperature and the regulated temperature of the thermal management system; the first predicted energy consumption is an energy consumption prediction value of the thermal management system on the driving route.
Optionally, the regulated temperature is a temperature within a normal working temperature range corresponding to each of the thermal management subsystems of the thermal management system.
Optionally, the processor 1001 is further configured to determine a regulation temperature of the thermal management system according to a normal operating temperature range of the thermal management system and a historical temperature of the thermal management system on the driving route.
Optionally, the determining, by the processor 1001, a first predicted energy consumption of the thermal management system on the driving route according to the ambient temperature and the regulated temperature of the thermal management system includes:
determining heating energy consumption and/or cooling energy consumption required for adjusting the temperature of the thermal management system to the regulated temperature at the ambient temperature according to the corresponding relation between the temperature change and the heat change of the thermal management system;
obtaining the first predicted energy consumption according to the heating energy consumption and/or the cooling energy consumption.
Optionally, the processor 1001 is further configured to obtain a historical additional operation on the driving route; acquiring historical additional energy consumption corresponding to the historical additional operation; modifying the first predicted energy consumption based on the historical additional energy consumption.
Optionally, the processor 1001 is further configured to obtain parking energy consumption corresponding to a historical parking event of the driving route; correcting a second predicted energy consumption of the drive system acquired in advance according to the parking energy consumption; and determining an optimal energy management strategy corresponding to the driving route according to the corrected first predicted energy consumption, the corrected second predicted energy consumption, the vehicle initial state and the boundary conditions.
Optionally, the processor 1001 is further configured to determine the second predicted energy consumption of the vehicle according to the historical navigation data of the driving route and the style of the driver.
Optionally, the initial state of the entire vehicle includes: initial state of charge of the battery of the whole vehicle and oil mass of an oil tank; the boundary conditions include: the engine is prohibited to work within the preset time, and the reserved electric quantity of the battery of the whole vehicle is matched with the preset temperature.
Optionally, the determining, by the processor 1001, the optimal energy management policy corresponding to the driving route according to the corrected first predicted energy consumption, the corrected second predicted energy consumption, the vehicle initial state, and the boundary condition includes: determining first electric energy provided by the whole vehicle battery according to the initial charge state of the whole vehicle battery and the reserved electric quantity of the whole vehicle battery matched with a preset temperature; determining second electric energy provided by the engine according to the oil quantity of the oil tank and the prohibition of the engine in the preset time; the sum of the first electric energy and the second electric energy is equivalent to the sum of the corrected first predicted energy consumption and the corrected second predicted energy consumption, and the sum of the energy consumption required by the engine to provide the first electric energy and the energy consumption required by the vehicle battery to provide the second electric energy is the minimum.
In this embodiment of the present invention, the terminal device 1000 further includes: a memory 1003. In fig. 10, the bus architecture may include any number of interconnected buses and bridges, with one or more processors represented by processor 1001 and various circuits of memory represented by memory 1003 being linked together. The bus architecture may also link together various other circuits such as peripherals, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described any further herein. The bus interface provides an interface. The transceiver 1002 may be a number of elements including a transmitter and a receiver that provide a means for communicating with various other apparatus over a transmission medium. The processor 1001 is responsible for managing a bus architecture and general processes, and the memory 1003 may store data used by the processor 1001 in performing operations.
According to the terminal device 1000 provided by the embodiment of the invention, the ambient temperature of the driving route is more accurate than the regulation and control temperature of the thermal management system, and the first predicted energy consumption determined according to the ambient temperature and the regulation and control temperature is more accurate, so that the accuracy of energy management can be improved, and the energy management effect is further improved.
The embodiment of the present invention further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the computer program implements each process of any one of the above embodiments of the vehicle energy management method, and can achieve the same technical effect, and in order to avoid repetition, details are not repeated here. The computer-readable storage medium may be a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
While the present invention has been described with reference to the embodiments shown in the drawings, the present invention is not limited to the embodiments, which are illustrative and not restrictive, and it will be apparent to those skilled in the art that various changes and modifications can be made therein without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (16)
1. A vehicle energy management method, comprising:
acquiring the ambient temperature of the area where the driving route is located;
determining a first predicted energy consumption of the vehicle according to the ambient temperature and the regulated temperature of the thermal management system; the first predicted energy consumption is an energy consumption predicted value of the thermal management system on the driving route;
the thermal management system comprises at least one of a whole vehicle battery, an engine and a passenger compartment subsystem which need to be subjected to temperature control;
after determining the first predicted energy consumption of the vehicle based on the ambient temperature and the regulated temperature of the thermal management system, the method further comprises:
acquiring historical additional operation on the driving route;
acquiring historical additional energy consumption corresponding to the historical additional operation;
correcting the first predicted energy consumption according to the historical additional energy consumption;
after the correcting the first predicted energy consumption based on the historical additional energy consumption, the method further comprises:
obtaining parking energy consumption corresponding to the historical parking events of the driving route;
correcting a second predicted energy consumption of the vehicle based on the parking energy consumption; the second predicted energy consumption is an energy consumption predicted value of the driving system acquired in advance;
and determining an optimal energy management strategy corresponding to the driving route according to the corrected first predicted energy consumption, the corrected second predicted energy consumption, the vehicle initial state and the boundary conditions.
2. The vehicle energy management method of claim 1, wherein the regulated temperature is a temperature within a normal operating temperature range for each of the thermal management subsystems of the thermal management system.
3. The vehicle energy management method of claim 1, wherein prior to determining the first predicted energy consumption of the vehicle based on the ambient temperature and the regulated temperature of the thermal management system, the method further comprises:
and determining the regulation temperature of the thermal management system according to the normal working temperature range of the thermal management system and the historical temperature of the thermal management system on the driving route.
4. The vehicle energy management method of claim 1, wherein determining a first predicted energy consumption of the vehicle based on the ambient temperature and the regulated temperature of the thermal management system comprises:
determining heating energy consumption and/or cooling energy consumption required for adjusting the temperature of the thermal management system to the regulated temperature at the ambient temperature according to the corresponding relation between the temperature change and the heat change of the thermal management system;
obtaining the first predicted energy consumption according to the heating energy consumption and/or the cooling energy consumption.
5. The vehicle energy management method of claim 1, wherein prior to modifying the second predicted energy consumption of the vehicle based on the parking energy consumption, the method further comprises:
determining the second predicted energy consumption of the vehicle based on historical navigation data and driver style of the travel route.
6. The vehicle energy management method of claim 1,
the vehicle initial state includes: initial state of charge of the battery of the whole vehicle and oil mass of an oil tank;
the boundary conditions include: the engine is prohibited to work within the preset time, and the reserved electric quantity of the battery of the whole vehicle is matched with the preset temperature.
7. The vehicle energy management method according to claim 6, wherein determining the optimal energy management strategy corresponding to the driving route according to the corrected first predicted energy consumption, the corrected second predicted energy consumption, the vehicle initial state and the boundary condition comprises:
determining first electric energy provided by the whole vehicle battery according to the initial charge state of the whole vehicle battery and the reserved electric quantity of the whole vehicle battery matched with a preset temperature;
determining second electric energy provided by the engine according to the oil quantity of the oil tank and the prohibition of the engine in the preset time;
the sum of the first electric energy and the second electric energy is equivalent to the sum of the corrected first predicted energy consumption and the corrected second predicted energy consumption, and the sum of the energy consumption of the whole vehicle battery for providing the first electric energy and the energy consumption of the engine for providing the second electric energy is the minimum.
8. A vehicle energy management device, comprising:
the first acquisition module is used for acquiring the ambient temperature of the area where the driving route is located;
the first determining module is used for determining first predicted energy consumption of the vehicle according to the environment temperature and the regulation and control temperature of the thermal management system; the first predicted energy consumption is an energy consumption predicted value of the thermal management system on the driving route;
the thermal management system comprises at least one of a whole vehicle battery, an engine and a passenger compartment subsystem which need to be subjected to temperature control;
a second acquisition module for acquiring a history additional operation on the travel route;
a third obtaining module, configured to obtain historical additional energy consumption corresponding to the historical additional operation;
a first correction module to correct the first predicted energy consumption based on the historical additional energy consumption;
the fourth acquisition module is used for acquiring parking energy consumption corresponding to the historical parking events of the driving route;
a second correction module for correcting a second predicted energy consumption of the vehicle based on the parking energy consumption; the second predicted energy consumption is an energy consumption predicted value of the driving system acquired in advance;
and the third determining module is used for determining the optimal energy management strategy corresponding to the driving route according to the corrected first predicted energy consumption, the corrected second predicted energy consumption, the vehicle initial state and the boundary condition.
9. The vehicle energy management apparatus of claim 8, wherein the regulated temperature is a temperature within a normal operating temperature range for each of the thermal management subsystems of the thermal management system.
10. The vehicle energy management device of claim 8, further comprising:
and the second determination module is used for determining the regulation and control temperature of the thermal management system according to the normal working temperature range of the thermal management system and the historical temperature of the thermal management system on the driving route.
11. The vehicle energy management device of claim 8, wherein the first determination module comprises:
the determining submodule is used for determining heating energy consumption and/or cooling energy consumption required for adjusting the temperature of the thermal management system to the regulated temperature at the ambient temperature according to the corresponding relation between the temperature change and the heat change of the thermal management system;
a processing submodule configured to obtain the first predicted energy consumption according to the heating energy consumption and/or the cooling energy consumption.
12. The vehicle energy management device of claim 8, further comprising:
a processing module to determine the second predicted energy consumption of the vehicle based on historical navigation data and a driver style of the travel route.
13. The vehicle energy management apparatus of claim 8,
the vehicle initial state includes: initial state of charge of the battery of the whole vehicle and oil mass of an oil tank;
the boundary conditions include: the engine is prohibited to work within the preset time, and the reserved electric quantity of the battery of the whole vehicle is matched with the preset temperature.
14. The vehicle energy management device of claim 13, wherein the third determination module comprises:
the first determining submodule is used for determining first electric energy provided by the whole vehicle battery according to the initial charge state of the whole vehicle battery and the reserved electric quantity of the whole vehicle battery matched with the preset temperature;
the second determining submodule is used for determining second electric energy provided by the engine according to the oil quantity of the oil tank and the prohibition of the engine in the preset time;
the sum of the first electric energy and the second electric energy is equivalent to the sum of the corrected first predicted energy consumption and the corrected second predicted energy consumption, and the sum of the energy consumption of the whole vehicle battery for providing the first electric energy and the energy consumption of the engine for providing the second electric energy is the minimum.
15. A terminal device, characterized by comprising a processor, a memory and a computer program stored on the memory and executable on the processor, the computer program, when executed by the processor, implementing the steps of the vehicle energy management method according to any one of claims 1 to 7.
16. A computer-readable storage medium, characterized in that a computer program is stored thereon, which computer program, when being executed by a processor, carries out the steps of the vehicle energy management method according to any one of claims 1 to 7.
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| CN113327173A (en) * | 2020-02-28 | 2021-08-31 | 深圳市瑞能实业股份有限公司 | Method and device for confirming electric quantity output state, terminal equipment and storage medium |
| CN111409418B (en) * | 2020-04-10 | 2022-04-01 | 中国联合网络通信集团有限公司 | Method and device for regulating the temperature of a vehicle |
| CN112581067B (en) * | 2021-02-23 | 2021-05-18 | 苏州澳昆智能机器人技术有限公司 | Warehouse management method and system |
| CN114571943B (en) * | 2021-03-29 | 2024-08-23 | 长城汽车股份有限公司 | Electric automobile thermal management method and device, HUT terminal and electric automobile |
| CN112895979B (en) * | 2021-04-13 | 2022-12-20 | 北京车和家信息技术有限公司 | Self-adaptive vehicle battery energy management method and device |
| CN115143416A (en) * | 2022-07-01 | 2022-10-04 | 中国光大绿色技术创新研究院有限公司 | Photovoltaic street lamp device and system |
| CN118163578B (en) * | 2024-05-14 | 2024-08-16 | 苏州楚硕汽车科技有限公司 | Integrated module device for automobile thermal management |
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| US9533550B2 (en) * | 2013-01-17 | 2017-01-03 | Mitsubishi Electric Corporation | Vehicle air conditioning control device |
| JP5642253B1 (en) * | 2013-11-08 | 2014-12-17 | 三菱電機株式会社 | Vehicle energy management system |
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| DE102014218564A1 (en) * | 2014-09-16 | 2016-03-17 | Robert Bosch Gmbh | Control device and method for the predictive, consumption-optimized operation of a hybrid vehicle |
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