CN110606076A - Energy distribution method and device for hybrid vehicle - Google Patents
Energy distribution method and device for hybrid vehicle Download PDFInfo
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- CN110606076A CN110606076A CN201910938469.2A CN201910938469A CN110606076A CN 110606076 A CN110606076 A CN 110606076A CN 201910938469 A CN201910938469 A CN 201910938469A CN 110606076 A CN110606076 A CN 110606076A
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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
- 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
- B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
- B60W50/0097—Predicting future conditions
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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
- B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
- B60W2050/0062—Adapting control system settings
- B60W2050/0075—Automatic parameter input, automatic initialising or calibrating means
- B60W2050/0082—Automatic parameter input, automatic initialising or calibrating means for initialising the control system
Abstract
The application discloses a hybrid vehicle energy distribution method and a device, and the method comprises the following steps: predicting the working condition of a first time period in the future according to a preset period during the working period of the vehicle to obtain predicted working condition information; determining the working states of the fuel cell and other power sources according to the predicted working condition information and a preset power output control strategy; controlling power output of the fuel cell and the other power source in accordance with the determined operating state. The energy distribution method and the energy distribution device for the hybrid vehicle can automatically predict the working condition information of a period of time in the future according to the preset time period, and determine the working states of the fuel cell and other power sources according to the predicted working condition information and the preset power output control strategy, so that the working state of the fuel cell is reasonable and stable, and the performance of the whole vehicle is improved.
Description
Technical Field
The invention relates to the field of new energy automobiles, in particular to a hybrid power vehicle energy distribution method and device.
Background
With the continuous acceleration of new energy automobile popularization in China, the hybrid electric vehicle technology is continuously developed and matured day by day.
In a hybrid vehicle, the fuel cell system is suitable for a long-term steady-state operation. Because the vehicle adopts hybrid power, the output power of the fuel cell and the required power of the vehicle do not have direct correspondence, namely the output power of the fuel cell and the required power of the vehicle are completely decoupled.
In the presence of fuel cells and other power sources, it is desirable to reasonably stabilize the operating conditions of the fuel cells in order to improve overall vehicle performance.
Disclosure of Invention
In view of the above, the present invention provides a method and a device for energy distribution of a hybrid vehicle, so as to reasonably stabilize the operating state of a fuel cell.
In order to achieve the purpose, the invention provides the following technical scheme:
a hybrid vehicle energy distribution method comprising:
predicting the working condition of a first time period in the future according to a preset period during the working period of the vehicle to obtain predicted working condition information;
determining the working states of the fuel cell and other power sources according to the predicted working condition information and a preset power output control strategy;
controlling power output of the fuel cell and the other power source in accordance with the determined operating state.
Optionally, the method further includes:
after the vehicle is started, the primary control enters a set initial state.
Optionally, the predicting the working condition of the future first time period to obtain the predicted working condition information includes:
determining the current working condition selected by user triggering;
determining the working condition of a first time period in the future according to the road condition determination tool;
determining the historical operating power demand of the vehicle in a second time period before the current time;
and determining the predicted working condition information of the first time period in the future according to the current working condition, the working condition and the historical operating power demand of the vehicle.
Optionally, the current working condition includes congestion, suburb, and high speed;
the historical operating power requirement of the vehicle comprises vehicle speed information of a second time period before the current time, charge state change and working points of all parts of a driving system;
the predicted operating condition information comprises basic operating conditions, average required power of the vehicle, a power variation range and a vehicle speed range.
Optionally, the method further includes:
and determining the working state of the engine according to the predicted working condition and a preset power output control strategy.
Optionally, the determining the operating states of the fuel cell and the other power sources according to the predicted operating condition, that is, a preset power output control strategy, includes:
determining the working modes and/or output powers of the fuel cell and other power sources according to the predicted working conditions and a preset power output control strategy;
the determining the working state of the engine according to the predicted working condition and a preset power output control strategy comprises the following steps:
and determining the working mode and the output power of the engine according to the predicted working condition and a preset power output control strategy.
Optionally, the determining the operating modes and/or output powers of the fuel cell, the other power sources and the engine according to the predicted operating conditions and a preset power output control strategy comprises:
if the predicted working condition information obtained this time is the same as the predicted working condition information obtained last time, then:
when the change rate of the average required power change of the vehicle is in a first range, determining that the working states of the fuel cell, other power sources and the engine are unchanged;
when the change rate of the average required power change of the vehicle is in a second range, or the change rate of the average required power change of the vehicle is in a third range and the current power duration is less than or equal to a calibrated value, determining that the working state of the fuel cell is unchanged, and adjusting the working states of the engine and other power sources according to a preset strategy;
when the change rate of the average required power change of the vehicle is in a third range and the current power duration is greater than a calibration value, adjusting the output power of the fuel cell and the working states of the engine and other power sources according to a preset strategy;
and if the predicted working condition information obtained this time is different from the predicted working condition information obtained last time, determining the working states of the fuel cell and other power sources according to the predicted working condition information and a preset power output control strategy.
A hybrid vehicle energy distribution device comprising:
the working condition prediction module is used for predicting the working condition of the first time period in the future according to a preset period to obtain predicted working condition information;
the work determining module is used for determining the working states of the fuel cell and other power sources according to the predicted working condition information and a preset power output control strategy;
and the work control module is used for controlling the power output of the fuel cell and the other power sources according to the determined work state.
Optionally, the method further includes:
and the state control module is used for entering a set initial state by first-choice control after the vehicle is started.
Optionally, the operating condition prediction module includes:
the first determining module is used for determining the current working condition selected by the user in a triggering mode;
the second determining module is used for determining the working condition of the future first time period according to the road condition determining tool;
the third determination module is used for determining the historical operating power demand of the vehicle in a second time period before the current time;
and the working condition prediction submodule is used for determining the predicted working condition information of the first time period in the future according to the current working condition, the working condition and the historical operating power demand of the vehicle.
Compared with the prior art, the embodiment of the invention discloses a hybrid vehicle energy distribution method and a hybrid vehicle energy distribution device, and the method comprises the following steps: predicting the working condition of a first time period in the future according to a preset period during the working period of the vehicle to obtain predicted working condition information; determining the working states of the fuel cell and other power sources according to the predicted working condition information and a preset power output control strategy; controlling power output of the fuel cell and the other power source in accordance with the determined operating state. The energy distribution method and the energy distribution device for the hybrid vehicle can automatically predict the working condition information of a period of time in the future according to the preset time period, and determine the working states of the fuel cell and other power sources according to the predicted working condition information and the preset power output control strategy, so that the working state of the fuel cell is reasonable and stable, and the performance of the whole vehicle is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
FIG. 1 is a flow chart of a hybrid vehicle energy distribution method disclosed in an embodiment of the present invention;
FIG. 2 is a flow chart of another hybrid vehicle energy distribution method disclosed in an embodiment of the present invention;
FIG. 3 is a flowchart illustrating the prediction of operating conditions according to an embodiment of the present invention;
FIG. 4 is a flowchart illustrating a method for determining the operating status of each of the power sources and the engine according to an embodiment of the present disclosure;
FIG. 5 is a schematic diagram illustrating an energy distribution process of a hybrid vehicle according to an embodiment of the present disclosure;
FIG. 6 is a schematic structural diagram of an energy distribution device of a hybrid vehicle according to an embodiment of the present invention;
FIG. 7 is a schematic structural diagram of another hybrid vehicle energy distribution device according to the embodiment of the present invention;
fig. 8 is a schematic structural diagram of a condition prediction module according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Fig. 1 is a flowchart of a hybrid vehicle energy distribution method according to an embodiment of the present invention, and referring to fig. 1, the hybrid vehicle energy distribution method may include:
step 101: and during the working period of the vehicle, predicting the working condition of the first time period in the future according to a preset period to obtain predicted working condition information.
During the operation of the vehicle, i.e. during the driving of the vehicle. The preset period can be configured according to the actual requirements of the user, such as half an hour and an hour. The first time period should not be set too long to ensure reasonable real-time and availability of energy distribution, e.g., half an hour.
The predicted operating condition information may include, but is not limited to, comprehensive operating condition information, power demand information, and the like.
The condition of the future first time period is predicted, and in practical application, the specific implementation modes of vehicles with different types or functions may be different. In the following embodiments, the specific process of predicting the operating condition of the future first time period will be described in detail, and will not be described in detail here.
Step 102: and determining the working states of the fuel cell and other power sources according to the predicted working condition information and a preset power output control strategy.
The system can be pre-configured with corresponding relations between different working conditions and energy distribution, namely the power output control strategy. Therefore, after the working condition information of the future first time period is predicted, the working states of all power sources including the fuel cell are determined according to the corresponding relation between different working conditions and energy distribution in the power output control strategy. The operating state may include an operating mode and/or an output power.
Step 103: controlling power output of the fuel cell and the other power source in accordance with the determined operating state.
After the operating states of the fuel cell and the other power source are determined, the fuel cell and the other power source may be directly controlled to operate and output power according to the determined operating states. So that the power output of the fuel cell and the other power source is within a reasonable range.
In this embodiment, the energy distribution method for the hybrid vehicle can automatically predict the working condition information of a period of time in the future according to the preset time period, and determine the working states of the fuel cell and other power sources according to the predicted working condition information and a preset power output control strategy, so that the working state of the fuel cell is reasonably stable, and the performance of the whole vehicle is improved.
Fig. 2 is a flowchart of another hybrid vehicle energy distribution method disclosed in the embodiment of the invention, and referring to fig. 2, the hybrid vehicle energy distribution method may include:
step 201: after the vehicle is started, the primary control enters a set initial state.
Generally, when a vehicle is started, some condition information, such as whether a road is congested or smooth, historical power output information of a period of time before the current time, and the like, cannot be determined, and therefore, a system can be controlled to enter a set initial state after the vehicle is started.
Wherein the initial state may be determined according to the state of charge SOC, e.g., when SOC ≦ SOCIs low inWhen the engine is started, the power is looked up according to the vehicle speed and the throttle to obtain PEngine＝PCalibration，PFuel cellP1. When SOC is reachedIs low in＜SOC≤SOCInWhen is, PEngine＝0，PFuel cell＝P2. When SOC is reachedIn＜SOC≤SOCHeight ofWhen is, PEngine＝0，PFuel cellP3. When SOC > SOCHeight ofWhen is, PEngine＝0，PFuel cellP4. Wherein the SOCIs low in，SOCIn，SOCHeight of，PCalibration，P1，P2，P3，P4All are empirically calibrated values.
Step 202: and during the working period of the vehicle, predicting the working condition of the first time period in the future according to a preset period to obtain predicted working condition information.
Step 203: and determining the working states of the fuel cell and other power sources according to the predicted working condition information and a preset power output control strategy.
Step 204: controlling power output of the fuel cell and the other power source in accordance with the determined operating state.
In the embodiment, when the vehicle is started initially, the vehicle is controlled to enter the set initial state firstly, so that the fuel cell and other power sources can work in a relatively stable and reasonable state.
In the foregoing embodiment, the concrete implementation of predicting the working condition of the first time period in the future to obtain the predicted working condition information may refer to fig. 3, where fig. 3 is a flowchart of predicting the working condition disclosed in the embodiment of the present invention, and as shown in fig. 3, the process of predicting the working condition may include:
step 301: the current operating condition of the user trigger selection is determined.
In specific implementation, a manual button can be arranged in a cab, and a driver can press the relevant button to trigger the driving working condition to be a working condition such as congestion, suburb, high speed and the like. Of course, in practical application, the working conditions may be divided more finely.
Step 302: and determining the working condition of the future first time period according to the road condition determining tool.
The road condition determining tool may be a comprehensive road condition information importing system or other road condition predicting tools, and outputs the time T0To after TtAnd (4) working condition of the time t at the moment, namely the working condition of the first time period in the future. The condition of the first time period in the future can be, for example, congestion, suburban area switching from congestion, high speed and the like.
Step 303: a historical operating power demand of the vehicle for a second time period prior to the current time is determined.
The historical operating power demand may include, but is not limited to, vehicle speed information, state of charge change, operating points of various components of the drive system, and the like in a second time period before the current time.
Step 304: and determining the predicted working condition information of the first time period in the future according to the current working condition, the working condition and the historical operating power demand of the vehicle.
The predicted operating condition information may be, but is not limited to, a basic operating condition, an average required power of the vehicle, a power variation range and/or a vehicle speed range.
In the embodiment, the concrete implementation of the prediction of the working condition is introduced in detail, and the reasonable design of the prediction means and the prediction method of the working condition prediction is beneficial to obtaining accurate working condition prediction information.
In other implementations, the method may further include the step of determining an operating state of the engine based on the predicted operating condition and a preset power output control strategy. Because the suitable working states of the engine under different working conditions are different, after the working condition information of a period of time in the future is predicted, the working state of the engine can be guided according to the predicted working condition information.
In the above embodiment, the determining the operating states of the fuel cell and the other power sources according to the predicted operating conditions, that is, the preset power output control strategy, may include: and determining the working mode and/or output power of the fuel cell and other power sources according to the predicted working condition and a preset power output control strategy.
The determining the working state of the engine according to the predicted working condition and a preset power output control strategy may include: and determining the working mode and the output power of the engine according to the predicted working condition and a preset power output control strategy.
Fig. 4 is a flowchart for determining the working states of each power source and the engine according to the embodiment of the present invention, as shown in fig. 4, the flowchart may include:
step 401: judging whether the predicted working condition information obtained this time is the same as the predicted working condition information obtained last time, and entering the steps 402, 403 or 404 under the condition that the predicted working condition information obtained this time is the same as the predicted working condition information obtained last time; if the predicted operating condition information obtained this time is different from the predicted operating condition information obtained last time, the process proceeds to step 405.
Step 402: and when the change rate of the average required power change of the vehicle is in a first range, determining that the working states of the fuel cell, other power sources and the engine are unchanged.
Step 403: and when the change rate of the average required power change of the vehicle is in a second range, or the change rate of the average required power change of the vehicle is in a third range and the current power duration is less than or equal to a calibrated value, determining that the working state of the fuel cell is unchanged, and adjusting the working states of the engine and other power sources according to a preset strategy.
Step 404: and when the change rate of the average required power change of the vehicle is in a third range and the current power duration is greater than a calibrated value, adjusting the output power of the fuel cell, the working state of the engine and the working state of other power sources according to a preset strategy.
And 405, determining the working states of the fuel cell and other power sources according to the predicted working condition information and a preset power output control strategy.
In one specific implementation, a schematic of the energy distribution process of the hybrid vehicle can be seen in fig. 5, where the condition prediction information is updated every Δ t, and if the basic condition is not changed, the average required power of the vehicle changes by Δ P (Δ P ═ P)Δt-Pnow) Rate of change ofThe working state of the system is not changed; if alpha% < delta P ≦ beta%, or (delta P > beta%) but the fuel cell is now power for a duration Ts≤TCalibrationIf the fuel cell is not changed, the states of the engine and the power battery are reasonably adjusted; if (delta P > beta%) and the fuel cell is now powered for a time duration Ts＞TCalibrationThen the power of the fuel cell is changed, and the states of the engine and the power cell are reasonably adjusted. Wherein, the delta t is a working condition prejudgment updating time period in the unit of s; and delta P is the average required power change of the predicted time period and the last actual operation time period. δ P is the rate of change of power as a percentage of the last actual running average power. Alpha is an empirical calibration value; beta is an empirical calibration value; ts is the fuel cell power duration. T isCalibrationThe same power minimum duration time of the fuel cell is calibrated according to experience.
If the basic working condition changes, the states of the fuel cell, the engine and the power battery are changed according to the working condition prejudgment information.
In the embodiment, the working condition prejudgment algorithm is used for predicting the future working condition and providing reasonable working states of the fuel cell, the engine and the power cell, so that the performance of the whole vehicle can be improved and the service lives of parts can be prolonged.
While, for purposes of simplicity of explanation, the foregoing method embodiments have been described as a series of acts or combination of acts, it will be appreciated by those skilled in the art that the present invention is not limited by the illustrated ordering of acts, as some steps may occur in other orders or concurrently with other steps in accordance with the invention. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required by the invention.
The method is described in detail in the embodiments disclosed above, and the method of the present invention can be implemented by various types of apparatuses, so that the present invention also discloses an apparatus, and the following detailed description will be given of specific embodiments.
Fig. 6 is a schematic structural diagram of a hybrid vehicle energy distribution device according to an embodiment of the present invention, and referring to a hybrid vehicle energy distribution device 60 shown in fig. 6, the hybrid vehicle energy distribution device may include:
the working condition prediction module 601 is configured to predict a working condition of a first time period in the future according to a preset cycle, so as to obtain predicted working condition information.
During the operation of the vehicle, i.e. during the driving of the vehicle. The preset period can be configured according to the actual requirements of the user, such as half an hour and an hour. The first time period should not be set too long to ensure reasonable real-time and availability of energy distribution, e.g., half an hour.
The predicted operating condition information may include, but is not limited to, comprehensive operating condition information, power demand information, and the like.
And the work determining module 602 is used for determining the working states of the fuel cell and other power sources according to the predicted working condition information and a preset power output control strategy.
The system can be pre-configured with corresponding relations between different working conditions and energy distribution, namely the power output control strategy. Therefore, after the working condition information of the future first time period is predicted, the working states of all power sources including the fuel cell are determined according to the corresponding relation between different working conditions and energy distribution in the power output control strategy. The operating state may include an operating mode and/or an output power.
An operation control module 603 for controlling the power output of the fuel cell and the other power source in accordance with the determined operating state.
After the operating states of the fuel cell and the other power source are determined, the fuel cell and the other power source may be directly controlled to operate and output power according to the determined operating states. So that the power output of the fuel cell and the other power source is within a reasonable range.
In this embodiment, the energy distribution device for a hybrid vehicle can automatically predict the working condition information of a period of time in the future according to the preset time period, and determine the working states of the fuel cell and other power sources according to the predicted working condition information and a preset power output control strategy, so that the working state of the fuel cell is reasonable and stable, and the performance of the whole vehicle is improved.
Fig. 7 is a schematic structural diagram of another hybrid vehicle energy distribution device according to an embodiment of the present invention, and as shown in fig. 7, the hybrid vehicle energy distribution device 70 may include:
and the state control module 701 is used for entering a set initial state by primary control after the vehicle is started.
Generally, when a vehicle is started, some condition information, such as whether a road is congested or smooth, historical power output information of a period of time before the current time, and the like, cannot be determined, and therefore, a system can be controlled to enter a set initial state after the vehicle is started.
The working condition prediction module 601 is configured to predict a working condition of a first time period in the future according to a preset cycle, so as to obtain predicted working condition information.
And the work determining module 602 is used for determining the working states of the fuel cell and other power sources according to the predicted working condition information and a preset power output control strategy.
An operation control module 603 for controlling the power output of the fuel cell and the other power source in accordance with the determined operating state.
In the foregoing embodiment, fig. 8 is a schematic structural diagram of a condition prediction module disclosed in the embodiment of the present invention, and as shown in fig. 8, the condition prediction module 601 may include:
a first determining module 801, configured to determine a current operating condition selected by a user trigger.
In specific implementation, a manual button can be arranged in a cab, and a driver can press the relevant button to trigger the driving working condition to be a working condition such as congestion, suburb, high speed and the like. Of course, in practical application, the working conditions may be divided more finely.
The second determining module 802 is configured to determine a working condition of a first time period in the future according to the road condition determining tool.
The road condition determining tool may be a comprehensive road condition information importing system or other road condition predicting tools, and outputs the time T0To after TtAnd (4) working condition of the time t at the moment, namely the working condition of the first time period in the future. The condition of the first time period in the future can be, for example, congestion, suburban area switching from congestion, high speed and the like.
A third determining module 803 for determining a historical operating power demand of the vehicle a second time period before the current time.
The historical operating power demand may include, but is not limited to, vehicle speed information, state of charge change, operating points of various components of the drive system, and the like in a second time period before the current time.
And the working condition predicting submodule 804 is used for determining predicted working condition information of a first time period in the future according to the current working condition, the working condition and the historical operating power demand of the vehicle.
The predicted operating condition information may be, but is not limited to, a basic operating condition, an average required power of the vehicle, a power variation range and/or a vehicle speed range.
In the embodiment, the concrete implementation of the prediction of the working condition is introduced in detail, and the reasonable design of the prediction means and the prediction method of the working condition prediction is beneficial to obtaining accurate working condition prediction information.
In other implementations, the job determination module 602 may be further configured to: and determining the working state of the engine according to the predicted working condition and a preset power output control strategy. Because the suitable working states of the engine under different working conditions are different, after the working condition information of a period of time in the future is predicted, the working state of the engine can be guided according to the predicted working condition information. Specifically, the work determination module 602 may be configured to: and determining the working mode and/or the output power of the fuel cell and other power sources according to the predicted working condition and a preset power output control strategy, and determining the working mode and the output power of the engine according to the predicted working condition and the preset power output control strategy.
In one particular implementation, the job determination module 602 may be configured to: judging whether the predicted working condition information obtained this time is the same as the predicted working condition information obtained last time, if so, then: when the change rate of the average required power change of the vehicle is in a first range, determining that the working states of the fuel cell, other power sources and the engine are unchanged; when the change rate of the average required power change of the vehicle is in a second range, or the change rate of the average required power change of the vehicle is in a third range and the current power duration is less than or equal to a calibrated value, determining that the working state of the fuel cell is unchanged, and adjusting the working states of the engine and other power sources according to a preset strategy; and when the change rate of the average required power change of the vehicle is in a third range and the current power duration is greater than a calibrated value, adjusting the output power of the fuel cell, the working state of the engine and the working state of other power sources according to a preset strategy. And under the condition that the predicted working condition information obtained at this time is different from the predicted working condition information obtained at the last time, determining the working states of the fuel cell and other power sources according to the predicted working condition information and a preset power output control strategy.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description.
It is further noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, 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 identical elements in a process, method, article, or apparatus that comprises the element.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may reside in Random Access Memory (RAM), memory, Read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A hybrid vehicle energy distribution method, characterized by comprising:
predicting the working condition of a first time period in the future according to a preset period during the working period of the vehicle to obtain predicted working condition information;
determining the working states of the fuel cell and other power sources according to the predicted working condition information and a preset power output control strategy;
controlling power output of the fuel cell and the other power source in accordance with the determined operating state.
2. The hybrid vehicle energy distribution method according to claim 1, characterized by further comprising:
after the vehicle is started, the primary control enters a set initial state.
3. The hybrid vehicle energy distribution method of claim 1, wherein predicting the operating condition for the first time period in the future to obtain predicted operating condition information comprises:
determining the current working condition selected by user triggering;
determining the working condition of a first time period in the future according to the road condition determination tool;
determining the historical operating power demand of the vehicle in a second time period before the current time;
and determining the predicted working condition information of the first time period in the future according to the current working condition, the working condition and the historical operating power demand of the vehicle.
4. The hybrid vehicle energy distribution method according to claim 3,
the current working conditions comprise congestion, suburb and high speed;
the historical operating power requirement of the vehicle comprises vehicle speed information of a second time period before the current time, charge state change and working points of all parts of a driving system;
the predicted operating condition information comprises basic operating conditions, average required power of the vehicle, a power variation range and a vehicle speed range.
5. The hybrid vehicle energy distribution method according to any one of claims 1 to 4, characterized by further comprising:
and determining the working state of the engine according to the predicted working condition and a preset power output control strategy.
6. The hybrid vehicle energy distribution method of claim 5, wherein the determining the operating state of the fuel cell and the other power source according to the predicted operating condition, i.e., a preset power output control strategy, comprises:
determining the working modes and/or output powers of the fuel cell and other power sources according to the predicted working conditions and a preset power output control strategy;
the determining the working state of the engine according to the predicted working condition and a preset power output control strategy comprises the following steps:
and determining the working mode and the output power of the engine according to the predicted working condition and a preset power output control strategy.
7. The hybrid vehicle distribution method of claim 6, wherein said determining the operating mode and/or output power of the fuel cell, other power sources, and engine based on said predicted operating conditions and a preset power output control strategy comprises:
if the predicted working condition information obtained this time is the same as the predicted working condition information obtained last time, then:
when the change rate of the average required power change of the vehicle is in a first range, determining that the working states of the fuel cell, other power sources and the engine are unchanged;
when the change rate of the average required power change of the vehicle is in a second range, or the change rate of the average required power change of the vehicle is in a third range and the current power duration is less than or equal to a calibrated value, determining that the working state of the fuel cell is unchanged, and adjusting the working states of the engine and other power sources according to a preset strategy;
when the change rate of the average required power change of the vehicle is in a third range and the current power duration is greater than a calibration value, adjusting the output power of the fuel cell and the working states of the engine and other power sources according to a preset strategy;
and if the predicted working condition information obtained this time is different from the predicted working condition information obtained last time, determining the working states of the fuel cell and other power sources according to the predicted working condition information and a preset power output control strategy.
8. A hybrid vehicle energy distribution device, characterized by comprising:
the working condition prediction module is used for predicting the working condition of the first time period in the future according to a preset period to obtain predicted working condition information;
the work determining module is used for determining the working states of the fuel cell and other power sources according to the predicted working condition information and a preset power output control strategy;
and the work control module is used for controlling the power output of the fuel cell and the other power sources according to the determined work state.
9. The hybrid vehicle energy distribution device according to claim 8, characterized by further comprising:
and the state control module is used for entering a set initial state by first-choice control after the vehicle is started.
10. The hybrid vehicle energy distribution device of claim 8, wherein the operating condition prediction module comprises:
the first determining module is used for determining the current working condition selected by the user in a triggering mode;
the second determining module is used for determining the working condition of the future first time period according to the road condition determining tool;
the third determination module is used for determining the historical operating power demand of the vehicle in a second time period before the current time;
and the working condition prediction submodule is used for determining the predicted working condition information of the first time period in the future according to the current working condition, the working condition and the historical operating power demand of the vehicle.
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Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111267829A (en) * | 2020-03-11 | 2020-06-12 | 宁波工程学院 | Hybrid power vehicle energy management method and system |
| CN111806304A (en) * | 2020-06-23 | 2020-10-23 | 同济大学 | Vehicle fuel cell-lithium ion capacitor composite power supply system and control method |
| CN112345951A (en) * | 2020-11-19 | 2021-02-09 | 同济大学 | Alternating current impedance measurement method for battery in composite power supply power system |
| CN112829607A (en) * | 2021-02-07 | 2021-05-25 | 中车青岛四方机车车辆股份有限公司 | Hybrid power system control method, system, storage medium, device and rail vehicle |
| CN113002368A (en) * | 2021-02-22 | 2021-06-22 | 深兰科技（上海）有限公司 | Control method of vehicle-mounted fuel cell system and related device |
| CN113002367A (en) * | 2021-02-22 | 2021-06-22 | 深兰科技（上海）有限公司 | Control method of vehicle-mounted fuel cell system and related device |
| CN113002524A (en) * | 2021-02-22 | 2021-06-22 | 深兰科技（上海）有限公司 | Control strategy acquisition method of vehicle-mounted fuel cell system and related device |
| CN113991151A (en) * | 2021-10-12 | 2022-01-28 | 广东省武理工氢能产业技术研究院 | Fuel cell self-adaptive control method and system based on power prediction |
| CN114103734A (en) * | 2021-12-30 | 2022-03-01 | 潍柴动力股份有限公司 | Control method and device for fuel cell vehicle |
| CN116749946A (en) * | 2023-08-21 | 2023-09-15 | 新誉集团有限公司 | Vehicle energy management method, device, equipment and readable storage medium |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20110106388A1 (en) * | 2009-11-04 | 2011-05-05 | Daimler Trucks North America Llc | Vehicle torque management |
| CN103246943A (en) * | 2013-05-31 | 2013-08-14 | 吉林大学 | Vehicle operating condition multi-scale predicting method based on Markov chain |
| CN103640569A (en) * | 2013-11-28 | 2014-03-19 | 江苏大学 | Hybrid electric vehicle energy management system and method based on multi-agent technology |
| CN106494328A (en) * | 2016-10-31 | 2017-03-15 | 合肥工业大学 | A kind of based on electrical power line computation fuel-engined vehicle electric energy control system and method |
| CN106585619A (en) * | 2016-12-17 | 2017-04-26 | 福州大学 | Multi-objective-considered dynamic coordination control method for planetary gear hybrid power system |
| JP2017128190A (en) * | 2016-01-19 | 2017-07-27 | 株式会社Ｓｕｂａｒｕ | Vehicle control device and vehicle control method |
| CN107187442A (en) * | 2017-05-18 | 2017-09-22 | 中国第汽车股份有限公司 | The plug-in hybrid electric automobile EMS predicted based on operating mode |
| CN107512266A (en) * | 2017-08-01 | 2017-12-26 | 北京理工大学 | A kind of operating mode Forecasting Methodology of the hybrid car travel operating mode based on waveform training |
| CN108091951A (en) * | 2017-12-29 | 2018-05-29 | 潍柴动力股份有限公司 | A kind of battery management system and its control method |
| CN108791270A (en) * | 2018-06-20 | 2018-11-13 | 北京理工大学 | A kind of power part operating point regulation and control method that hybrid vehicle is predicted based on operating mode |
| CN110208710A (en) * | 2019-06-30 | 2019-09-06 | 潍柴动力股份有限公司 | A kind of detection method and system of fuel battery engines transient response performance |
-
2019
- 2019-09-30 CN CN201910938469.2A patent/CN110606076B/en active Active
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20110106388A1 (en) * | 2009-11-04 | 2011-05-05 | Daimler Trucks North America Llc | Vehicle torque management |
| CN103246943A (en) * | 2013-05-31 | 2013-08-14 | 吉林大学 | Vehicle operating condition multi-scale predicting method based on Markov chain |
| CN103640569A (en) * | 2013-11-28 | 2014-03-19 | 江苏大学 | Hybrid electric vehicle energy management system and method based on multi-agent technology |
| JP2017128190A (en) * | 2016-01-19 | 2017-07-27 | 株式会社Ｓｕｂａｒｕ | Vehicle control device and vehicle control method |
| CN106494328A (en) * | 2016-10-31 | 2017-03-15 | 合肥工业大学 | A kind of based on electrical power line computation fuel-engined vehicle electric energy control system and method |
| CN106585619A (en) * | 2016-12-17 | 2017-04-26 | 福州大学 | Multi-objective-considered dynamic coordination control method for planetary gear hybrid power system |
| CN107187442A (en) * | 2017-05-18 | 2017-09-22 | 中国第汽车股份有限公司 | The plug-in hybrid electric automobile EMS predicted based on operating mode |
| CN107512266A (en) * | 2017-08-01 | 2017-12-26 | 北京理工大学 | A kind of operating mode Forecasting Methodology of the hybrid car travel operating mode based on waveform training |
| CN108091951A (en) * | 2017-12-29 | 2018-05-29 | 潍柴动力股份有限公司 | A kind of battery management system and its control method |
| CN108791270A (en) * | 2018-06-20 | 2018-11-13 | 北京理工大学 | A kind of power part operating point regulation and control method that hybrid vehicle is predicted based on operating mode |
| CN110208710A (en) * | 2019-06-30 | 2019-09-06 | 潍柴动力股份有限公司 | A kind of detection method and system of fuel battery engines transient response performance |
Non-Patent Citations (1)
| Title |
|---|
| 张风奇: "混合动力汽车模型预测能量管理研究现状与展望", 《机械工程学报》 * |
Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111267829A (en) * | 2020-03-11 | 2020-06-12 | 宁波工程学院 | Hybrid power vehicle energy management method and system |
| CN111267829B (en) * | 2020-03-11 | 2021-08-03 | 宁波工程学院 | Hybrid power vehicle energy management method and system |
| CN111806304A (en) * | 2020-06-23 | 2020-10-23 | 同济大学 | Vehicle fuel cell-lithium ion capacitor composite power supply system and control method |
| CN111806304B (en) * | 2020-06-23 | 2021-09-03 | 同济大学 | Vehicle fuel cell-lithium ion capacitor composite power supply system and control method |
| CN112345951A (en) * | 2020-11-19 | 2021-02-09 | 同济大学 | Alternating current impedance measurement method for battery in composite power supply power system |
| CN112829607A (en) * | 2021-02-07 | 2021-05-25 | 中车青岛四方机车车辆股份有限公司 | Hybrid power system control method, system, storage medium, device and rail vehicle |
| CN113002524A (en) * | 2021-02-22 | 2021-06-22 | 深兰科技（上海）有限公司 | Control strategy acquisition method of vehicle-mounted fuel cell system and related device |
| CN113002367A (en) * | 2021-02-22 | 2021-06-22 | 深兰科技（上海）有限公司 | Control method of vehicle-mounted fuel cell system and related device |
| CN113002368A (en) * | 2021-02-22 | 2021-06-22 | 深兰科技（上海）有限公司 | Control method of vehicle-mounted fuel cell system and related device |
| CN113991151A (en) * | 2021-10-12 | 2022-01-28 | 广东省武理工氢能产业技术研究院 | Fuel cell self-adaptive control method and system based on power prediction |
| CN114103734A (en) * | 2021-12-30 | 2022-03-01 | 潍柴动力股份有限公司 | Control method and device for fuel cell vehicle |
| CN116749946A (en) * | 2023-08-21 | 2023-09-15 | 新誉集团有限公司 | Vehicle energy management method, device, equipment and readable storage medium |
| CN116749946B (en) * | 2023-08-21 | 2023-10-20 | 新誉集团有限公司 | Vehicle energy management method, device, equipment and readable storage medium |
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