CN110281904A - A kind of energy management method of hybrid vehicle, device and terminal - Google Patents
A kind of energy management method of hybrid vehicle, device and terminal Download PDFInfo
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- CN110281904A CN110281904A CN201910527141.1A CN201910527141A CN110281904A CN 110281904 A CN110281904 A CN 110281904A CN 201910527141 A CN201910527141 A CN 201910527141A CN 110281904 A CN110281904 A CN 110281904A
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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
- B60W10/00—Conjoint control of vehicle sub-units of different type or different function
- B60W10/04—Conjoint control of vehicle sub-units of different type or different function including control of propulsion units
- B60W10/06—Conjoint control of vehicle sub-units of different type or different function including control of propulsion units including control of combustion engines
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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
- B60W10/00—Conjoint control of vehicle sub-units of different type or different function
- B60W10/04—Conjoint control of vehicle sub-units of different type or different function including control of propulsion units
- B60W10/08—Conjoint control of vehicle sub-units of different type or different function including control of propulsion units including control of electric propulsion units, e.g. motors or generators
-
- 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
-
- 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
- B60W2510/24—Energy storage means
- B60W2510/242—Energy storage means for electrical energy
- B60W2510/244—Charge state
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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
- B60W2520/00—Input parameters relating to overall vehicle dynamics
- B60W2520/10—Longitudinal speed
-
- 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
- B60W2520/00—Input parameters relating to overall vehicle dynamics
- B60W2520/10—Longitudinal speed
- B60W2520/105—Longitudinal acceleration
-
- 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
- B60W2710/00—Output or target parameters relating to a particular sub-units
- B60W2710/06—Combustion engines, Gas turbines
- B60W2710/0666—Engine torque
-
- 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
- B60W2710/00—Output or target parameters relating to a particular sub-units
- B60W2710/08—Electric propulsion units
- B60W2710/083—Torque
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/62—Hybrid vehicles
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- Chemical & Material Sciences (AREA)
- Combustion & Propulsion (AREA)
- Transportation (AREA)
- Mechanical Engineering (AREA)
- Automation & Control Theory (AREA)
- Electric Propulsion And Braking For Vehicles (AREA)
- Hybrid Electric Vehicles (AREA)
Abstract
The invention discloses a kind of energy management method of hybrid vehicle, device and terminal, the method includes: the vehicle traveling information before obtaining the vehicle current driving moment in default first time period；Obtain at least one typical travel operating condition type and the corresponding characteristic parameter of each typical travel operating condition type of vehicle；According to the vehicle traveling information and the corresponding characteristic parameter of each typical travel operating condition type, the vehicle driving-cycle at vehicle current driving moment is obtained, the vehicle driving-cycle is one of typical travel operating condition described in each type；Obtain vehicle speed, demand power and the battery charge state under the vehicle driving-cycle；According to the vehicle speed, demand power, battery charge state and the vehicle driving-cycle, energy management strategies corresponding with the vehicle driving-cycle are obtained；Based on the energy management strategies, vehicle motor and motor output torque are controlled；Overall efficiency of the present invention is high, and oil consumption is low.
Description
Technical field
The present invention relates to automobile energy administrative skill field more particularly to a kind of energy management sides of hybrid vehicle
Method, device and terminal.
Background technique
The energy management of hybrid vehicle at present is all the energy management strategies of rule, regular energy management plan mostly
Slightly mainly formulated according to controlling curve (MAP) figure and engineering experience of the vehicles main component such as engine, motor
's；Ensure that each component work keeps the power allocation rule of high efficient district in the form of threshold value；In the process, common control
Parameter has speed, power, torque etc., and basic functional principle is as follows:
When the current state-of-charge of battery (SOC) is higher than setting minimum value: if speed is less than setting speed, and demand
Power is less than maximum set value, then is operated alone by motor；If speed is greater than the set value, but demand power rises less than engine
When dynamic minimum value, it is operated alone by motor；If speed is greater than the set value, demand power is greater than engine start minimum value,
And when being less than the maximum value of engine setting, it is operated alone by engine；
Power is set when demand power is greater than engine maximum, i.e., vehicle is in climbing or anxious acceleration situation, by motor
Joint driving is carried out with engine, provides sufficient power source for vehicle operation；If started at this time lower than charging setting value
Machine is power needed for providing vehicle operation, while also to be charged for battery.
The energy management strategies of current this rule are not easy to fast in reply vehicle practical driving cycles complicated and changeable
The fast conversion for accurately carrying out energy management, low efficiency, and increase oil consumption.
Summary of the invention
In order to solve the above-mentioned technical problem, point in view of the above problems, the invention discloses the energy pipes of hybrid vehicle
Reason method, by the identification of vehicle driving-cycle, using energy management strategies corresponding with vehicle driving-cycle, with real-time control
Vehicle motor and motor output torque not only increase overall efficiency, and reduce oil consumption.
In order to achieve the above object of the invention, described the present invention provides a kind of energy management method of hybrid vehicle
Method include:
Vehicle traveling information before obtaining the vehicle current driving moment in default first time period, the vehicle driving letter
Breath includes the travel speed and acceleration of vehicle；
Obtain at least one typical travel operating condition type and the corresponding feature of each typical travel operating condition type of vehicle
Parameter；
According to the vehicle traveling information and the corresponding characteristic parameter of each typical travel operating condition type, it is current to obtain vehicle
The vehicle driving-cycle at moment is travelled, the vehicle driving-cycle is one of typical travel operating condition described in each type；
Obtain vehicle speed, demand power and the battery charge state under the vehicle driving-cycle；
According to the vehicle speed, demand power, battery charge state and the vehicle driving-cycle, obtain with it is described
The corresponding energy management strategies of vehicle driving-cycle；
Based on the energy management strategies, vehicle motor and motor output torque are controlled.
Further, described at least one typical travel operating condition type and each typical travel operating condition for obtaining vehicle
Before the corresponding characteristic parameter of type, further includes:
Obtain the travelling characteristic parameter of vehicle under different driving cycles；
The travelling characteristic parameter is pre-processed, and inputs neural network to obtain the typical travel work of each type
The characteristic parameter of condition；The neural network is obtained by the training of multi-state contextual data.
Further, described to be joined according to the vehicle traveling information and the corresponding feature of each typical travel operating condition type
Number, obtains the vehicle driving-cycle at vehicle current driving moment, and the vehicle driving-cycle is typical travel described in each type
One of operating condition, comprising:
The fisrt feature parameter of vehicle driving is obtained according to vehicle traveling information；
Judge the goodness of fit of fisrt feature parameter second feature parameter corresponding with a typical travel operating condition type
Whether preset first threshold value is more than or equal to；
If so, determining the corresponding typical travel operating condition of the second feature parameter for the vehicle at vehicle current driving moment
Driving cycle.
Further, described according to the vehicle speed, demand power, battery charge state and the vehicle driving work
Condition obtains energy management strategies corresponding with the vehicle driving-cycle, comprising:
According to the vehicle speed, demand power, battery charge state and the vehicle driving-cycle, vehicle is obtained
Drive demand；
Obtain the operating mode of vehicle motor；
According to the drive demand of the vehicle, judge whether the operating mode of the vehicle motor meets inefficient work
Mode；
If so, determining that the energy management strategies jointly control strategy for engine and motor.
Further, the drive demand according to the vehicle judges that the operating mode of the vehicle motor is
The inefficient operating mode of no satisfaction, comprising:
Judge whether the drive demand of vehicle meets the first preset condition；
If so, determining that the operating mode of the vehicle motor meets inefficient operating mode.
The present invention provides a kind of energy management apparatus of hybrid vehicle, the device includes:
Driving information obtains module, for the vehicle row in first time period default before obtaining the vehicle current driving moment
Information is sailed, the vehicle traveling information includes the travel speed and acceleration of vehicle；
Typical travel operating condition obtains module, for obtaining at least one typical travel operating condition type of vehicle, and it is each
The corresponding characteristic parameter of typical travel operating condition type；
Vehicle driving-cycle obtains module, for according to the vehicle traveling information and each typical travel operating condition type pair
The characteristic parameter answered obtains the vehicle driving-cycle at vehicle current driving moment, and the vehicle driving-cycle is each type institute
State one of typical travel operating condition；
Data obtaining module, for obtaining the vehicle speed under the vehicle driving-cycle, demand power and battery lotus
Electricity condition；
Energy management strategies obtain module, for according to the vehicle speed, demand power, battery charge state and institute
Vehicle driving-cycle is stated, energy management strategies corresponding with the vehicle driving-cycle are obtained；
Control module is used for the energy management strategies, controls vehicle motor and motor output torque.
Further, further includes:
Characteristic parameter obtains module, for obtaining the travelling characteristic parameter of vehicle under different driving cycles；
Data processing module, for pre-processing the travelling characteristic parameter, and it is each to obtain to input neural network
The characteristic parameter of the typical travel operating condition of a type；The neural network is obtained by the training of multi-state contextual data.
Further, the vehicle driving-cycle obtains module, comprising:
First acquisition unit, for obtaining the fisrt feature parameter of vehicle driving according to vehicle traveling information；
First judging unit, for judging the fisrt feature parameter and a typical travel operating condition type corresponding second
Whether the goodness of fit of characteristic parameter is more than or equal to preset first threshold value；
First judging unit, for determining that the corresponding typical travel operating condition of the second feature parameter is vehicle current driving
The vehicle driving-cycle at moment.
Further, the energy management strategies obtain module, comprising:
Second acquisition unit, for according to the vehicle speed, demand power, battery charge state and the vehicle row
Operating condition is sailed, the drive demand of vehicle is obtained；
Third acquiring unit, for obtaining the operating mode of vehicle motor；
Second judgment unit judges the operating mode of the vehicle motor for the drive demand according to the vehicle
Whether inefficient operating mode is met；
Second judging unit, for determining that the energy management strategies jointly control strategy for engine and motor.
The present invention provides a kind of energy management terminal of hybrid vehicle, the terminal includes processor and storage
Device；
The processor is adapted for carrying out one or one or more instruction；
The memory, be stored with one or one or more instruction, described one or one or more be suitable for the processor
Load and execute the energy management method to realize hybrid vehicle as described above.
The implementation of the embodiments of the present invention has the following beneficial effects:
The energy management method of hybrid vehicle disclosed by the invention, by the identification of vehicle driving-cycle, using with
The corresponding energy management strategies of vehicle driving-cycle are not only increased with real-time control vehicle motor and motor output torque
Overall efficiency, and reduce oil consumption.
Detailed description of the invention
In order to illustrate more clearly of the energy management method, device and terminal of hybrid vehicle of the present invention, under
Face will be briefly described attached drawing required for embodiment, it should be apparent that, the accompanying drawings in the following description is only the present invention
Some embodiments for those of ordinary skill in the art without creative efforts, can also basis
These attached drawings obtain other attached drawings.
Fig. 1 is a kind of flow diagram of the energy management method of hybrid vehicle provided in an embodiment of the present invention；
Fig. 2 is a kind of flow diagram of vehicle driving-cycle acquisition methods provided in an embodiment of the present invention；
Fig. 3 is a kind of flow diagram of energy management strategies acquisition methods provided in an embodiment of the present invention；
Fig. 4 is a kind of structural schematic diagram of the energy management apparatus of hybrid vehicle provided in an embodiment of the present invention；
Fig. 5 is a kind of structural schematic diagram of the energy management terminal of hybrid vehicle provided in an embodiment of the present invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, those of ordinary skill in the art without making creative work it is obtained it is all its
His embodiment, shall fall within the protection scope of the present invention.
It should be noted that description and claims of this specification and term " first " in above-mentioned attached drawing, "
Two " etc. be to be used to distinguish similar objects, without being used to describe a particular order or precedence order.It should be understood that using in this way
Data be interchangeable under appropriate circumstances, so as to the embodiment of the present invention described herein can in addition to illustrating herein or
Sequence other than those of description is implemented.In addition, term " includes " and " having " and their any deformation, it is intended that cover
Cover it is non-exclusive include, for example, containing the process, method of a series of steps or units, system, product or server need not limit
In step or unit those of is clearly listed, but may include be not clearly listed or for these process, methods, produce
The other step or units of product or equipment inherently.
Present invention could apply to the energy managements of plug-in hybrid vehicle；Specifically, it is dynamic to can establish plug-in mixing
The typical travel operating condition library of power vehicle completes driving cycle on-line identification by neural network, is based on typical travel operating condition library
In each type typical travel operating condition, applied dynamic programming algorithm obtains offline optimal energy distribution under driving cycle
Track completes application on site design, and combines industry and mining city, constructs complete hybrid power visitor energy management strategies, real
Show under different driving cycles, the automatic identification and switching of optimal control algorithm.
The present invention is based on the plug-in hybrid vehicle models built, minimum as target, setting electricity using fuel consumption
Pond state-of-charge initial value and end state of charge are all 50%, under certain constraints, by simulation calculation, are obtained
Global optimum's engine of each typical travel operating condition (can be 11), the optimal output torque of motor distribute track.Pass through control
The output of engine, Motor torque processed makes their overall efficiency highests, achievees the purpose that reduce oil consumption.
Referring to FIG. 1, its energy management method for showing a kind of hybrid vehicle provided in an embodiment of the present invention
Flow diagram, present description provides the method operating procedures as described in embodiment or flow chart, but based on conventional；Or it is noninvasive
The labour for the property made may include more or less operating procedure.The step of enumerating in embodiment sequence is only numerous steps
One of execution sequence mode, do not represent it is unique execute sequence, the energy management method in vehicle travel process can be with
It is executed according to embodiment or method shown in the drawings sequence.It is specific as shown in Figure 1, which comprises
S101, the vehicle traveling information before obtaining the vehicle current driving moment in default first time period, the vehicle
Driving information includes the travel speed and acceleration of vehicle；
It should be noted that Vehicle Speed may include in default first time period in this specification embodiment
The max speed, the average speed of interior vehicle driving；Acceleration can be in default first time period vehicle driving most greatly
Speed, minimum acceleration (can be negative value that is to say deceleration) and average acceleration；
In this specification embodiment, the vehicle traveling information can also include that vehicle is in low speed or dead ship condition
Duration, vehicle are in the duration of medium relatively low speed, vehicle is in the duration of medium higher speed and vehicle is in high speed
Duration；
Specifically, vehicle speed are as follows: when 0 < V < 15Km/h, vehicle is low speed or dead ship condition；Vehicle speed be 15 < V <
When 30Km/h, vehicle is medium relatively low speed；Vehicle speed are as follows: when 30 < V < 60Km/h, vehicle is medium higher speed；Vehicle
Speed are as follows: when 60 < V < 100Km/h, vehicle is high speed；
In this specification embodiment, the vehicle traveling information can also include the biggish duration of vehicle acceleration, vehicle
The biggish duration of deceleration and the lesser duration of vehicle acceleration；
Specifically, vehicle acceleration are as follows: 1.5 < a < 2.5m/s2When, it is that vehicle acceleration is larger；Vehicle acceleration is -2.5
<a<-1.5m/s2When, it is that vehicle deceleration is larger；Vehicle acceleration are as follows: 0 < a < 1.5m/s2When, it is that vehicle acceleration is smaller.
In one preferred embodiment of this specification, if the current driving moment is t, default first time period be can be
[t-Δt1, t] between period；
S103, at least one typical travel operating condition type and each typical travel operating condition type for obtaining vehicle are corresponding
Characteristic parameter；
In this specification embodiment, in described at least one typical travel operating condition type for obtaining vehicle, and each
Before the corresponding characteristic parameter of typical travel operating condition type, further includes:
S1 obtains the travelling characteristic parameter of vehicle under different driving cycles；
In this specification embodiment, the traveling letter of the vehicle under vehicle driving cycle different under different scenes is obtained
Breath obtains the travelling characteristic parameter of vehicle corresponding with vehicle traveling information according to the driving information of vehicle；
S2 pre-processes the travelling characteristic parameter, and inputs neural network to obtain the representative row of each type
Sail the characteristic parameter of operating condition；The neural network is obtained by the training of multi-state contextual data；
In this specification embodiment, travelling characteristic parameter is pre-processed, and input neural network to obtain
The typical travel operating condition of each type；The neural network is by the way that under multiple scenes, the running data of multiple driving cycles is trained
It obtains.
Each typical travel operating condition is obtained offline most using offline global optimizer for each typical travel operating condition
Excellent energy distributes track；Using the method for neural network, converts the optimal energy obtained offline distribution track to can answer online
Rule, to establish the optimal online energy management strategies for being directed to each typical condition respectively；This design is so that whole
Vehicle is obviously improved in terms of rate of economizing gasoline and electricity holding.
S105 obtains vehicle according to the vehicle traveling information and the corresponding characteristic parameter of each typical travel operating condition type
The vehicle driving-cycle at current driving moment, the vehicle driving-cycle are one in typical travel operating condition described in each type
Kind；
In this specification embodiment, according to the practical driving cycles of vehicle, by neural network by the practical driving work of vehicle
Condition is recognized as some preset typical travel operating condition.
Typical travel operating condition can have 11 seed types, and typical travel operating condition should have stronger representativeness, realize to vehicle
The covering of operating condition during actual travel, i.e. operating condition in vehicle travel process are all by selected typical travel operating condition
One or more composition.
As shown in Fig. 2, in this specification embodiment which shows a kind of vehicle driving work provided in an embodiment of the present invention
The flow diagram of condition acquisition methods；Specifically, as follows:
S201 obtains the fisrt feature parameter of vehicle driving according to vehicle traveling information；
In this specification embodiment, fisrt feature parameter may include: the vehicle driving in default first time period
The max speed, average speed, vehicle are in low speed or dead ship condition duration and percentage, the vehicle of default first time period are in
The duration of medium relatively low speed and percentage, the vehicle of default first time period be in the duration of medium higher speed and preset the
Percentage, the vehicle of one period is in the duration of high speed and the percentage of default first time period；
In this specification embodiment, fisrt feature parameter can also include: the vehicle driving in default first time period
Peak acceleration, minimum acceleration, average acceleration, vehicle acceleration biggish duration and default first time period percentage
The lesser duration of percentage and vehicle acceleration of duration more biggish than, vehicle deceleration and default first time period and default
The percentage of first time period；
S203 judges the kiss of fisrt feature parameter second feature parameter corresponding with a typical travel operating condition type
It is right whether to be more than or equal to preset first threshold value；
In this specification embodiment, preset first threshold value can be 0.95；Judge fisrt feature parameter and each class
Whether the goodness of fit of the corresponding second feature parameter of a typical travel operating condition in type typical travel operating condition is more than or equal to 95%.
S205, if so, determining the corresponding typical travel operating condition of the second feature parameter for the vehicle current driving moment
Vehicle driving-cycle.
In this specification embodiment, if fisrt feature parameter second feature corresponding with a typical travel operating condition type
The goodness of fit of parameter is more than or equal to 95%, then determines that the corresponding typical travel operating condition of second feature parameter is vehicle driving-cycle.
In this specification embodiment, if obtaining the when a length of Δ t that vehicle driving-cycle needs2, that is to say that progress is primary
The time that driving cycle identification needs is Δ t2, then in [t, t+ Δ t2] period in, the driving cycle of vehicle is above-mentioned
The driving cycle determined according to the driving information of vehicle in default first time period；And the operating condition can be continued for a period of time.
S107 obtains vehicle speed, demand power and battery charge state under the vehicle driving-cycle；
In this specification embodiment, vehicle driving-cycle can be one of each typical travel operating condition；Obtaining should
Vehicle speed information, demand power and battery charge state information under typical travel operating condition；
Specifically, can be real-time vehicle speed information, demand power and the battery charge state of vehicle.
S109 is obtained according to the vehicle speed, demand power, battery charge state and the vehicle driving-cycle
Energy management strategies corresponding with the vehicle driving-cycle；
In this specification embodiment, according to the corresponding typical travel operating condition of vehicle driving-cycle, and according to being calculated under line
Obtained typical travel operating condition optimal energy management plan, is recognized based on vehicle driving-cycle, can be with real-time control vehicle startup
The output torque of mechanical, electrical machine keeps overall efficiency higher, and achievees the purpose that reduce oil consumption.
As shown in figure 3, in this specification embodiment which shows a kind of energy management plan provided in an embodiment of the present invention
The slightly flow diagram of acquisition methods；Specifically, including:
S301 is obtained according to the vehicle speed, demand power, battery charge state and the vehicle driving-cycle
The drive demand of vehicle；
In this specification embodiment, vehicle drive demand can be the drive demand of driver's setting or control；It drives
The demand of sailing can be the demand to vehicle torque, speed.
S303 obtains the operating mode of vehicle motor；
In this specification embodiment, the operating mode of engine can be efficiency operation mode or inefficient Working mould
Formula.
It is inefficient to judge whether the operating mode of the vehicle motor meets according to the drive demand of the vehicle by S305
Rate operating mode；
In this specification embodiment, the drive demand according to the vehicle judges the work of the vehicle motor
Whether operation mode meets inefficient operating mode
A1, judges whether the drive demand of vehicle meets the first preset condition；
In this specification embodiment, the first preset condition can be that vehicle torque is small and speed of operation is low, if vehicle is driven
Sailing demand is that torque is small and speed is low, then determines the first preset condition of vehicle drive need satisfaction；
A2, if so, determining that the operating mode of the vehicle motor meets inefficient operating mode.
In this specification embodiment, when vehicle drive the first preset condition of need satisfaction；Determine the vehicle startup
The operating mode of machine meets inefficient operating mode.
S307, if so, determining that the energy management strategies jointly control strategy for engine and motor.
In this specification embodiment, if the operating mode of vehicle motor is inefficient operating mode, need to hair
Motivation operating point carries out control transfer；If drive demand is that torque is small and in the case that speed is low, need by improving engine
Output torque so that improve engine efficiency, more than start motivation efficiency corresponding part torque can be used to drive electricity
Machine, for the charging of the battery of vehicle；
In the case where vehicle driving-cycle determines, the working efficiency of engine is analyzed under online according to work information,
Energy management is carried out in conjunction with current speed, battery charge state according to engine efficiency.
S111 is based on the energy management strategies, controls vehicle motor and motor output torque.
In this specification embodiment, strategy is jointly controlled based on engine and motor, controls vehicle motor and motor
Output torque；At this point, engine start driving vehicle and charge the battery or engine and motor while driving vehicle；When
Demand torque is larger, and when engine is unable to meet demand, motor will do it power-assisted, and when demand torque is small, engine efficiency is low, this
When can charge the battery, improve engine efficiency.
In another preferred embodiment of this specification, the energy management strategies can also be the independent control strategy of motor
With the independent control strategy of engine；
Wherein, when pure power mode, that is to say that battery capacity can satisfy the drive demand of driver, generally in low speed and
When small throttle, the independent control strategy of motor can be used；
Wherein, when generator is in efficient operation state, the independent control strategy of engine can be used.
The embodiment of the energy management method of hybrid vehicle, device and the terminal that are there is provided by aforementioned present invention as it can be seen that
Vehicle traveling information of the embodiment of the present invention before obtaining the vehicle current driving moment in default first time period, the vehicle row
Sail the travel speed and acceleration that information includes vehicle；At least one typical travel operating condition type of vehicle is obtained, and each
The corresponding characteristic parameter of typical travel operating condition type；It is corresponding according to the vehicle traveling information and each typical travel operating condition type
Characteristic parameter, obtain the vehicle current driving moment vehicle driving-cycle, the vehicle driving-cycle be each type described in
One of typical travel operating condition；Obtain vehicle speed, demand power and the battery charge shape under the vehicle driving-cycle
State；According to the vehicle speed, demand power, battery charge state and the vehicle driving-cycle, obtain and the vehicle
The corresponding energy management strategies of driving cycle；Based on the energy management strategies, vehicle motor and motor output torque are controlled；
The technical solution provided using this specification embodiment, by the identification of vehicle driving-cycle, using with vehicle driving-cycle pair
The energy management strategies answered not only increase overall efficiency with real-time control vehicle motor and motor output torque, and reduce
Oil consumption.
The embodiment of the invention also provides a kind of energy management apparatus of hybrid vehicle, as shown in Figure 4 which shows
A kind of structural schematic diagram of the energy management apparatus of hybrid vehicle provided in an embodiment of the present invention；Specifically, the dress
It sets and includes:
Driving information obtains module 410, for the vehicle in first time period default before obtaining the vehicle current driving moment
Driving information, the vehicle traveling information includes the travel speed and acceleration of vehicle；
Typical travel operating condition obtains module 420, for obtaining at least one typical travel operating condition type of vehicle, and it is every
The corresponding characteristic parameter of a typical travel operating condition type；
Vehicle driving-cycle obtains module 430, for according to the vehicle traveling information and each typical travel operating condition class
The corresponding characteristic parameter of type, obtains the vehicle driving-cycle at vehicle current driving moment, and the vehicle driving-cycle is each class
One of typical travel operating condition described in type；
Data obtaining module 440, for obtaining vehicle speed, demand power and battery under the vehicle driving-cycle
State-of-charge；
Energy management strategies obtain module 450, for according to the vehicle speed, demand power, battery charge state with
And the vehicle driving-cycle, obtain energy management strategies corresponding with the vehicle driving-cycle；
Control module 460 is used for the energy management strategies, controls vehicle motor and motor output torque.
In this specification embodiment, further includes:
Characteristic parameter obtains module, for obtaining the travelling characteristic parameter of vehicle under different driving cycles；
Data processing module, for pre-processing the travelling characteristic parameter, and it is each to obtain to input neural network
The characteristic parameter of the typical travel operating condition of a type；The neural network is obtained by the training of multi-state contextual data.
In this specification embodiment, the vehicle driving-cycle obtains module 430 and includes:
First acquisition unit, for obtaining the fisrt feature parameter of vehicle driving according to vehicle traveling information；
First judging unit, for judging the fisrt feature parameter and a typical travel operating condition type corresponding second
Whether the goodness of fit of characteristic parameter is more than or equal to preset first threshold value；
First judging unit, for determining that the corresponding typical travel operating condition of the second feature parameter is vehicle current driving
The vehicle driving-cycle at moment.
In this specification embodiment, the energy management strategies obtain module 450 and include:
Second acquisition unit, for according to the vehicle speed, demand power, battery charge state and the vehicle row
Operating condition is sailed, the drive demand of vehicle is obtained；
Third acquiring unit, for obtaining the operating mode of vehicle motor；
Second judgment unit judges the operating mode of the vehicle motor for the drive demand according to the vehicle
Whether inefficient operating mode is met；
Second judging unit, for determining that the energy management strategies jointly control strategy for engine and motor.
In this specification embodiment, the second judgment unit includes:
First judgment sub-unit, for judging whether the drive demand of vehicle meets the first preset condition；
First determines subelement, for determining that the operating mode of the vehicle motor meets inefficient operating mode.
The embodiment of the invention provides a kind of energy management terminal of hybrid vehicle, which includes processor and deposits
Reservoir；
The processor is adapted for carrying out one or one or more instruction；
The memory, be stored with one or one or more instruction, described one or one or more be suitable for the processor
Load and execute the energy management method to realize the hybrid vehicle as described in above method embodiment.
Memory can be used for storing software program and module, and processor is stored in the software program of memory by operation
And module, thereby executing various function application and data processing.Memory can mainly include storing program area and storage number
According to area, wherein storing program area can application program needed for storage program area, function etc.；Storage data area can store basis
The equipment uses created data etc..In addition, memory may include high-speed random access memory, can also include
Nonvolatile memory, for example, at least a disk memory, flush memory device or other volatile solid-state parts.Phase
Ying Di, memory can also include Memory Controller, to provide access of the processor to memory.
Fig. 5 is a kind of structural schematic diagram of the energy management terminal of hybrid vehicle provided in an embodiment of the present invention, should
The internal structure of the energy management terminal of hybrid vehicle may include but be not limited to: processor, network interface and memory,
Processor, network interface and memory in the energy management terminal of middle hybrid vehicle can pass through bus or other modes
It connects, in Fig. 5 shown in this specification embodiment for being connected by bus.
Wherein, processor (or CPU (Central Processing Unit, central processing unit)) is hybrid electric vehicle
Energy management terminal calculating core and control core.Network interface optionally may include standard wireline interface,
Wireless interface (such as WI-FI, mobile communication interface).Memory (Memory) is in the energy management terminal of hybrid vehicle
Memory device, for storing program and data.It is understood that memory herein can be high-speed RAM storage equipment,
It is also possible to non-labile storage equipment (non-volatile memory), for example, at least a disk storage equipment；It is optional
Can also be that at least one is located remotely from the storage device of aforementioned processor.Memory provides memory space, the memory space
Store the operating system of the energy management terminal of hybrid vehicle, it may include but be not limited to: a kind of Windows system (behaviour
Make system), Linux (a kind of operating system) etc., the present invention is to this and is not construed as limiting；Also, it is also deposited in the memory space
It has put suitable for by one or more than one instructions that processor loads and executes, these instructions can be one or more
Computer program (including program code).In this specification embodiment, processor is loaded and is executed and stores in memory
One or one or more instruction, to realize the energy management method of the hybrid vehicle of above method embodiment offer.
The embodiments of the present invention also provide a kind of storage medium, the storage medium may be disposed at hybrid vehicle
The energy management method phase for realizing one of embodiment of the method hybrid vehicle is saved among energy management terminal
At least one instruction, an at least Duan Chengxu, code set or instruction set, at least one instruction closed, are somebody's turn to do an at least Duan Chengxu
Code set or instruction set can be loaded and be executed by the processor of electronic equipment to be moved with the mixing for realizing that above method embodiment provides
The energy management method of power vehicle.
Optionally, in the present embodiment, above-mentioned storage medium can include but is not limited to: USB flash disk, read-only memory (ROM,
Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk or
The various media that can store program code such as CD.
The embodiment of the energy management method of hybrid vehicle, device and the terminal that are there is provided by aforementioned present invention as it can be seen that
Vehicle traveling information of the embodiment of the present invention before obtaining the vehicle current driving moment in default first time period, the vehicle row
Sail the travel speed and acceleration that information includes vehicle；Obtain the travelling characteristic parameter of vehicle under different driving cycles；It will be described
Travelling characteristic parameter is pre-processed, and inputs neural network to obtain the characteristic parameter of the typical travel operating condition of each type；
The neural network is obtained by the training of multi-state contextual data；At least one typical travel operating condition type of vehicle is obtained, with
And the corresponding characteristic parameter of each typical travel operating condition type；According to the vehicle traveling information and each typical travel operating condition class
The corresponding characteristic parameter of type, obtains the vehicle driving-cycle at vehicle current driving moment, and the vehicle driving-cycle is each class
One of typical travel operating condition described in type；Specifically, obtaining the fisrt feature parameter of vehicle driving according to vehicle traveling information；
Judge whether the goodness of fit of fisrt feature parameter second feature parameter corresponding with a typical travel operating condition type is greater than
Equal to preset first threshold value；If so, determining that the corresponding typical travel operating condition of the second feature parameter is vehicle current driving
The vehicle driving-cycle at moment.Obtain vehicle speed, demand power and the battery charge state under the vehicle driving-cycle；
According to the vehicle speed, demand power, battery charge state and the vehicle driving-cycle, obtain and the vehicle driving
The corresponding energy management strategies of operating condition；Specifically, according to the vehicle speed, demand power, battery charge state and described
Vehicle driving-cycle obtains the drive demand of vehicle；Obtain the operating mode of vehicle motor；According to the driving need of the vehicle
It asks, judges whether the operating mode of the vehicle motor meets inefficient operating mode；Specifically, if so, judging vehicle
Whether drive demand meets the first preset condition；If so, determining that the operating mode of the vehicle motor meets inefficient work
Operation mode.Then determine that the energy management strategies jointly control strategy for engine and motor.Based on the energy management strategies,
Control vehicle motor and motor output torque；The technical solution provided using this specification embodiment, passes through vehicle driving work
The identification of condition is exported using energy management strategies corresponding with vehicle driving-cycle with real-time control vehicle motor and motor
Torque not only increases overall efficiency, and reduces oil consumption.
It should be understood that embodiments of the present invention sequencing is for illustration only, do not represent the advantages or disadvantages of the embodiments.
And above-mentioned this specification specific embodiment is described.Other embodiments are within the scope of the appended claims.One
In a little situations, the movement recorded in detail in the claims or step can be executed according to the sequence being different from embodiment and
Still desired result may be implemented.In addition, process depicted in the drawing not necessarily requires the particular order shown or company
Continuous sequence is just able to achieve desired result.In some embodiments, multitasking and parallel processing it is also possible or
It may be advantageous.
All the embodiments in this specification are described in a progressive manner, same and similar portion between each embodiment
Dividing may refer to each other, and each embodiment focuses on the differences from other embodiments.Especially for device and
For server example, since it is substantially similar to the method embodiment, so being described relatively simple, related place is referring to side
The part of method embodiment illustrates.
Those of ordinary skill in the art will appreciate that realizing that all or part of the steps of above-described embodiment can pass through hardware
It completes, relevant hardware can also be instructed to complete by program, the program can store in a kind of computer-readable
In storage medium, storage medium mentioned above can be read-only memory, disk or CD etc..
Above disclosed is only a preferred embodiment of the present invention, cannot limit the power of the present invention with this certainly
Sharp range, therefore equivalent changes made in accordance with the claims of the present invention, are still within the scope of the present invention.
Claims (10)
1. a kind of energy management method of hybrid vehicle, it is characterised in that: the method includes:
Vehicle traveling information before obtaining the vehicle current driving moment in default first time period, the vehicle traveling information packet
Include the travel speed and acceleration of vehicle；
Obtain at least one typical travel operating condition type and the corresponding feature ginseng of each typical travel operating condition type of vehicle
Number；
According to the vehicle traveling information and the corresponding characteristic parameter of each typical travel operating condition type, vehicle current driving is obtained
The vehicle driving-cycle at moment, the vehicle driving-cycle are one of typical travel operating condition described in each type；
Obtain vehicle speed, demand power and the battery charge state under the vehicle driving-cycle；
According to the vehicle speed, demand power, battery charge state and the vehicle driving-cycle, obtain and the vehicle
The corresponding energy management strategies of driving cycle；
Based on the energy management strategies, vehicle motor and motor output torque are controlled.
2. the energy management method of hybrid vehicle according to claim 1, it is characterised in that: the acquisition vehicle
Before at least one typical travel operating condition type and the corresponding characteristic parameter of each typical travel operating condition type, further includes:
Obtain the travelling characteristic parameter of vehicle under different driving cycles；
The travelling characteristic parameter is pre-processed, and inputs neural network to obtain the typical travel operating condition of each type
Characteristic parameter；The neural network is obtained by the training of multi-state contextual data.
3. the energy management method of hybrid vehicle according to claim 1, it is characterised in that: described according to the vehicle
Driving information and the corresponding characteristic parameter of each typical travel operating condition type obtain the vehicle driving at vehicle current driving moment
Operating condition, the vehicle driving-cycle are one of typical travel operating condition described in each type, comprising:
The fisrt feature parameter of vehicle driving is obtained according to vehicle traveling information；
Judge fisrt feature parameter second feature parameter corresponding with a typical travel operating condition type the goodness of fit whether
More than or equal to preset first threshold value；
If so, determining the corresponding typical travel operating condition of the second feature parameter for the vehicle driving at vehicle current driving moment
Operating condition.
4. the energy management method of hybrid vehicle according to claim 1, it is characterised in that: described according to the vehicle
Speed, demand power, battery charge state and the vehicle driving-cycle obtain corresponding with the vehicle driving-cycle
Energy management strategies, comprising:
According to the vehicle speed, demand power, battery charge state and the vehicle driving-cycle, the driving of vehicle is obtained
Demand；
Obtain the operating mode of vehicle motor；
According to the drive demand of the vehicle, judge whether the operating mode of the vehicle motor meets inefficient Working mould
Formula；
If so, determining that the energy management strategies jointly control strategy for engine and motor.
5. the energy management method of hybrid vehicle according to claim 4, it is characterised in that: described according to the vehicle
Drive demand, judge whether the operating mode of the vehicle motor meets inefficient operating mode, comprising:
Judge whether the drive demand of vehicle meets the first preset condition；
If so, determining that the operating mode of the vehicle motor meets inefficient operating mode.
6. a kind of energy management apparatus of hybrid vehicle, it is characterised in that: the device includes:
Driving information obtains module, for the vehicle driving letter in first time period default before obtaining the vehicle current driving moment
Breath, the vehicle traveling information includes the travel speed and acceleration of vehicle；
Typical travel operating condition obtain module, for obtain vehicle at least one typical travel operating condition type and each typical case
The corresponding characteristic parameter of driving cycle type；
Vehicle driving-cycle obtains module, for corresponding according to the vehicle traveling information and each typical travel operating condition type
Characteristic parameter, obtains the vehicle driving-cycle at vehicle current driving moment, and the vehicle driving-cycle is allusion quotation described in each type
One of type driving cycle；
Data obtaining module, for obtaining the vehicle speed under the vehicle driving-cycle, demand power and battery charge shape
State；
Energy management strategies obtain module, for according to the vehicle speed, demand power, battery charge state and the vehicle
Driving cycle obtains energy management strategies corresponding with the vehicle driving-cycle；
Control module is used for the energy management strategies, controls vehicle motor and motor output torque.
7. the energy management apparatus of hybrid vehicle according to claim 6, it is characterised in that: further include:
Characteristic parameter obtains module, for obtaining the travelling characteristic parameter of vehicle under different driving cycles；
Data processing module for pre-processing the travelling characteristic parameter, and inputs neural network to obtain each class
The characteristic parameter of the typical travel operating condition of type；The neural network is obtained by the training of multi-state contextual data.
8. the energy management apparatus of hybrid vehicle according to claim 6, it is characterised in that: the vehicle driving work
Condition obtains module, comprising:
First acquisition unit, for obtaining the fisrt feature parameter of vehicle driving according to vehicle traveling information；
First judging unit, for judging fisrt feature parameter second feature corresponding with a typical travel operating condition type
Whether the goodness of fit of parameter is more than or equal to preset first threshold value；
First judging unit, for determining the corresponding typical travel operating condition of the second feature parameter for the vehicle current driving moment
Vehicle driving-cycle.
9. the energy management apparatus of hybrid vehicle according to claim 6, it is characterised in that: the energy management plan
Slightly obtain module, comprising:
Second acquisition unit, for according to the vehicle speed, demand power, battery charge state and the vehicle driving work
Condition obtains the drive demand of vehicle；
Third acquiring unit, for obtaining the operating mode of vehicle motor；
Second judgment unit, for the drive demand according to the vehicle, judge the vehicle motor operating mode whether
Meet inefficient operating mode；
Second judging unit, for determining that the energy management strategies jointly control strategy for engine and motor.
10. a kind of energy management terminal of hybrid vehicle, it is characterised in that: the terminal includes processor and memory；
The processor is adapted for carrying out one or one or more instruction；
The memory, be stored with one or one or more instruction, described one or one or more be suitable for the processor load
And the energy management method executed to realize the hybrid vehicle as described in claim 1 to 5 any one.
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