CN116749946B - Vehicle energy management method, device, equipment and readable storage medium - Google Patents
Vehicle energy management method, device, equipment and readable storage medium Download PDFInfo
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- 238000007726 management method Methods 0.000 title claims abstract description 61
- 230000008859 change Effects 0.000 claims description 136
- 230000004044 response Effects 0.000 claims description 87
- 238000010248 power generation Methods 0.000 claims description 18
- 238000004088 simulation Methods 0.000 claims description 16
- 238000009825 accumulation Methods 0.000 claims description 12
- 238000004590 computer program Methods 0.000 claims description 7
- 238000000034 method Methods 0.000 abstract description 20
- 238000005265 energy consumption Methods 0.000 abstract description 8
- 230000001133 acceleration Effects 0.000 description 7
- 239000004606 Fillers/Extenders Substances 0.000 description 6
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- 230000009194 climbing Effects 0.000 description 5
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- 238000011022 operating instruction Methods 0.000 description 3
- 238000012545 processing Methods 0.000 description 3
- 238000004146 energy storage Methods 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
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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
- B60W20/15—Control strategies specially adapted for achieving a particular effect
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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
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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
- B60W20/11—Controlling the power contribution of each of the prime movers to meet required power demand using model predictive control [MPC] strategies, i.e. control methods based on models predicting performance
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W2510/00—Input parameters relating to a particular sub-units
- B60W2510/10—Change speed gearings
- B60W2510/1005—Transmission ratio engaged
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W2510/00—Input parameters relating to a particular sub-units
- 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
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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
- B60W2520/105—Longitudinal acceleration
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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
- B60W2552/00—Input parameters relating to infrastructure
- B60W2552/15—Road slope, i.e. the inclination of a road segment in the longitudinal direction
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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
- B60W2710/00—Output or target parameters relating to a particular sub-units
- B60W2710/08—Electric propulsion units
- B60W2710/081—Speed
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W2710/00—Output or target parameters relating to a particular sub-units
- B60W2710/08—Electric propulsion units
- B60W2710/083—Torque
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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
- B60W2710/00—Output or target parameters relating to a particular sub-units
- B60W2710/08—Electric propulsion units
- B60W2710/086—Power
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- Combustion & Propulsion (AREA)
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Abstract
The invention discloses a vehicle energy management method, a device, equipment and a readable storage medium, which are applied to the technical field of hybrid vehicles and comprise the following steps: acquiring current working condition information and predicted working condition information; determining a plurality of parameter values according to the current working condition information and the predicted working condition information; performing multi-condition parallel judgment according to the parameter values and parameter thresholds corresponding to the parameter values, and determining a target vehicle energy control adjustment strategy corresponding to the target vehicle according to the judgment result; wherein, the multi-condition parallel judgment means that a plurality of judgment conditions are satisfied simultaneously. Compared with the current mode of managing vehicle energy according to a single parameter, which causes the vehicle to frequently start and stop and consumes a large amount of energy, the method and the device can perform multi-condition parallel judgment according to a plurality of parameters and parameter thresholds corresponding to the parameters, determine a target vehicle energy control and adjustment strategy according to the judgment result, and perform energy management, thereby reducing the vehicle energy consumption and improving the energy distribution efficiency.
Description
Technical Field
The present invention relates to the field of hybrid vehicles, and in particular, to a vehicle energy management method, apparatus, device, and readable storage medium.
Background
When energy allocation is currently performed, energy management is mainly performed based on power. For example, the technical solution in the prior art is that the power is greater than 50 and needs to be started, and is smaller than 50 and is closed, and in the case that the power fluctuates, the vehicle can be frequently started and stopped, and the user experience is poor.
Therefore, how to provide an energy distribution technical scheme which does not cause frequent start and stop of the vehicle and reduce the energy consumption of the vehicle is a technical problem which needs to be solved by those skilled in the art.
Disclosure of Invention
Accordingly, an object of the present invention is to provide a vehicle energy management method, apparatus, device and readable storage medium, which solve the technical problem of relatively large vehicle energy consumption in the prior art.
In order to solve the technical problems, the invention provides a vehicle energy management method, which comprises the following steps:
acquiring current working condition information and predicted working condition information;
determining a plurality of parameter values according to the current working condition information and the predicted working condition information;
performing multi-condition parallel judgment according to the parameter values and parameter thresholds corresponding to the parameter values, and determining a target vehicle energy control adjustment strategy corresponding to a target vehicle according to a judgment result; wherein, the multi-condition parallel judgment means that a plurality of judgment conditions are satisfied simultaneously.
Optionally, the multi-condition parallel judgment is performed according to the parameter values and parameter thresholds corresponding to the parameter values, and a target vehicle energy control adjustment strategy corresponding to the target vehicle is determined according to a judgment result, including:
acquiring working electric quantity, and determining the parameter threshold corresponding to the parameter value according to an electric quantity interval to which the working electric quantity belongs;
and carrying out multi-condition parallel judgment according to the parameter values and the parameter threshold values, and determining the target vehicle energy control adjustment strategy according to judgment results.
Optionally, the determining a plurality of parameter values according to the current working condition information and the predicted working condition information includes:
determining a vehicle speed change rate and an average power change rate according to the current working condition information and the predicted working condition information;
correspondingly, the multi-condition parallel judgment is carried out according to the parameter values and the parameter threshold values corresponding to the parameter values, and a target vehicle energy control adjustment strategy corresponding to the target vehicle is determined according to the judgment result, and the method comprises the following steps:
and carrying out multi-condition parallel judgment according to the vehicle speed change rate, the average power change rate, the vehicle speed change rate parameter threshold and the average power change rate threshold, and determining the target vehicle energy control adjustment strategy corresponding to the target vehicle according to a judgment result.
Optionally, the multi-condition parallel judgment is performed according to the vehicle speed change rate, the average power change rate, the vehicle speed change rate parameter threshold and the average power change rate threshold, and the target vehicle energy control adjustment strategy corresponding to the target vehicle is determined according to the judgment result, which includes:
determining the vehicle speed change rate parameter threshold and the average power change rate threshold corresponding to different accumulation times according to the vehicle speed change accumulation time and the power change accumulation time corresponding to the vehicle speed change rate and the average power change rate;
and carrying out multi-condition parallel judgment according to the vehicle speed change rate, the average power change rate, the vehicle speed change rate parameter threshold and the average power change rate threshold, and determining the target vehicle energy control adjustment strategy corresponding to the target vehicle according to a judgment result.
Optionally, the multi-condition parallel judgment is performed according to the parameter values and parameter thresholds corresponding to the parameter values, and a target vehicle energy control adjustment strategy corresponding to the target vehicle is determined according to a judgment result, including:
and carrying out multi-condition parallel judgment according to the parameter value and the parameter threshold value, and determining the target vehicle energy control adjustment strategy to be adjusted in a response gradient of a rotating speed response or a torque response and/or in a response mode of the rotating speed response or the torque response according to a judgment result.
Optionally, the performing the multi-condition parallel determination according to the parameter value and the parameter threshold value, determining, according to a determination result, that the target vehicle energy control adjustment policy is to be adjusted in a response gradient of a rotational speed response or a torque response, and/or in a response manner of the rotational speed response or the torque response, including:
and carrying out multi-condition parallel judgment according to the parameter value and the parameter threshold value, and determining the target vehicle energy control adjustment strategy according to a judgment result to adjust in a torque response mode when the power generation power curve changes mainly in a torque increment, and adjust in a rotating speed response mode when the power generation power curve changes mainly in a rotating speed increment.
Optionally, before the current working condition information and the predicted working condition information are obtained, the method further includes:
and performing power simulation according to the current working condition to obtain the predicted working condition information.
The present invention also provides a vehicle energy management apparatus including:
the current working condition information and prediction working condition information acquisition module is used for acquiring current working condition information and prediction working condition information;
the parameter value determining module is used for determining a plurality of parameter values according to the current working condition information and the predicted working condition information;
the energy control adjustment strategy determining module is used for carrying out multi-condition parallel judgment according to the parameter values and parameter thresholds corresponding to the parameter values, and determining a target vehicle energy control adjustment strategy corresponding to a target vehicle according to a judgment result; wherein, the multi-condition parallel judgment means that a plurality of judgment conditions are satisfied simultaneously.
The present invention also provides a vehicle energy management apparatus comprising:
a memory for storing a computer program;
and the processor is used for realizing the vehicle energy management method when executing the computer program.
The invention also provides a computer readable storage medium, wherein the computer readable storage medium stores computer executable instructions, and when the computer executable instructions are loaded and executed by a processor, the vehicle energy management method is realized.
Therefore, the current working condition information and the predicted working condition information are obtained; determining a plurality of parameter values according to the current working condition information and the predicted working condition information; performing multi-condition parallel judgment according to the parameter values and parameter thresholds corresponding to the parameter values, and determining a target vehicle energy control adjustment strategy corresponding to the target vehicle according to the judgment result; wherein, the multi-condition parallel judgment means that a plurality of judgment conditions are satisfied simultaneously. Compared with the current mode of frequently starting and stopping the vehicle by carrying out energy configuration according to a single parameter, the method and the device can carry out multi-condition parallel judgment according to a plurality of parameters, determine the energy control and adjustment strategy of the target vehicle corresponding to the target vehicle according to the judgment result, and carry out energy management, thereby reducing the energy consumption of the vehicle, avoiding the frequent starting and stopping of the vehicle and improving the energy distribution efficiency.
In addition, the invention also provides a vehicle energy management device, equipment and a readable storage medium, which have the same beneficial effects.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are required to be used in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are only embodiments of the present invention, and that other drawings can be obtained according to the provided drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a method for vehicle energy management provided by an embodiment of the present invention;
FIG. 2 is a schematic structural view of a hybrid energy management and distribution frame according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of a power simulation module according to an embodiment of the present invention;
FIG. 4 is a flowchart illustrating a method for distributing energy to a hybrid vehicle according to an embodiment of the present invention;
FIG. 5 is a schematic view of a structural frame of a vehicle energy management device according to an embodiment of the present invention;
fig. 6 is a schematic structural frame diagram of a vehicle energy management apparatus according to an embodiment of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, fig. 1 is a flowchart of a vehicle energy management method according to an embodiment of the invention. The method may include:
s100, current working condition information and predicted working condition information are obtained.
The current operating condition in this embodiment is the operating condition state corresponding to the vehicle. The operating conditions in this embodiment are not limited to acceleration, braking energy recovery, uniform traveling, climbing, etc. The current working condition information in this embodiment is a working condition parameter corresponding to the vehicle, and the working condition information in this embodiment includes, but is not limited to, system basic information, working states of parts, working points of parts of the driving system, average required power, power variation range, vehicle speed, and the like. The embodiment is not limited to the specific manner in which the predicted operating condition information is derived. For example, the predicted operating condition information can be obtained through a power simulation module; or obtaining the predicted working condition information through a prediction model. For example, after the vehicle is started and initialized, the working condition estimation module determines the current working condition through initial signals including, but not limited to, parameters such as a vehicle speed, a pedal opening degree, a gear, a power range, a power change rate and the like, and determines the estimated working condition for a period of time in the future through a road condition prediction tool, including, but not limited to, a vehicle speed range, a gear, an acceleration and deceleration condition, an altitude change rate and the like.
It should be noted that, before the current working condition information and the predicted working condition information are obtained, the method may further include: and performing power simulation according to the current working condition to obtain predicted working condition information. It can be understood that the state of the part first enters an initial state, a working condition estimation module in the device determines the current working condition according to the initial state of the part, and determines the estimated working condition in a period of time in the future according to a road condition prediction tool; and predicting the power demand information under the estimated working condition by using the power simulation module to obtain the estimated working condition demand information of the part. According to the embodiment, power simulation can be performed according to the current working condition, the predicted working condition information is obtained, and the accuracy of determining the predicted working condition information is improved.
S101, determining a plurality of parameter values according to the current working condition information and the predicted working condition information.
The embodiment is not limited to a specific number of parameter values. For example, the parameter values may be two; or the parameter value may also be three; or the parameter value may also be five. The embodiment is not limited to a specific type of parameter value. For example, the parameter values may be power and vehicle speed; or the parameter values may also be power and time; or the parameter value may also be torque and average power.
It should be noted that, determining the plurality of parameter values according to the current working condition information and the predicted working condition information may include: determining a vehicle speed change rate and an average power change rate according to the current working condition information and the predicted working condition information; correspondingly, performing multi-condition parallel judgment according to the parameter values and parameter thresholds corresponding to the parameter values, and determining a target vehicle energy control adjustment strategy corresponding to the target vehicle according to the judgment result, wherein the method can comprise the following steps: and carrying out multi-condition parallel judgment according to the vehicle speed change rate and the average power change rate, and the vehicle speed change rate parameter threshold and the average power change rate threshold, and determining the target vehicle energy control adjustment strategy corresponding to the target vehicle according to the judgment result. In the embodiment, the multi-condition parallel judgment is performed according to the vehicle speed change rate and the average power change rate, and the vehicle speed change rate parameter threshold and the average power change rate threshold, because the vehicle speed and the average power are parameters with the largest relation with energy regulation, the accuracy of energy control can be improved by performing the multi-condition parallel judgment by using the vehicle speed change rate and the average power change rate, and the vehicle speed change rate parameter threshold and the average power change rate threshold.
The method for determining the target vehicle energy control adjustment strategy corresponding to the target vehicle according to the determination result may include: determining a vehicle speed change rate parameter threshold value and an average power change rate threshold value corresponding to different accumulation times according to the vehicle speed change accumulation time and the power change accumulation time corresponding to the vehicle speed change rate and the average power change rate; and carrying out multi-condition parallel judgment according to the vehicle speed change rate and the average power change rate, and the vehicle speed change rate parameter threshold and the average power change rate threshold, and determining a target vehicle energy control adjustment strategy corresponding to the target vehicle according to the judgment result. The embodiment further combines the vehicle speed change accumulated time and the power change accumulated time when determining the target vehicle energy control adjustment strategy, thereby improving the accuracy of energy adjustment.
S102, performing multi-condition parallel judgment according to the parameter values and parameter thresholds corresponding to the parameter values, and determining a target vehicle energy control adjustment strategy corresponding to the target vehicle according to the judgment result; wherein, the multi-condition parallel judgment means that a plurality of judgment conditions are satisfied simultaneously.
The embodiment carries out multi-condition parallel judgment according to the parameter values and the parameter threshold values corresponding to the parameter values, and determines a target vehicle energy control adjustment strategy corresponding to the target vehicle according to the judgment results, namely the embodiment determines a plurality of judgment results according to the parameter values and the parameter threshold values, and different vehicle energy control adjustment strategies corresponding to different judgment results. The embodiment is not limited to a specific vehicle energy control adjustment strategy, and may be, for example, to determine a motor power generation demand torque in a coasting state based on a current vehicle speed signal and a current gear signal; or determining the states of the adjustment range, the boundary value, the enabling condition and the like, and deciding the response degree of each target value. It can be understood that the hybrid energy management distribution frame integrally corresponding to this embodiment may be fig. 2, and fig. 2 is a schematic structural diagram of a hybrid energy management distribution frame provided by an embodiment of the present invention, including: the system comprises a working condition estimating module, a power simulating module, a working condition comparing module and a target control module. For example, during the working period of a vehicle, the state of a part firstly enters an initial state, a working condition estimation module in the device determines the current working condition according to the initial state of the part, and determines the estimated working condition in a future period of time according to a road condition prediction tool; the power demand information under the estimated working condition is predicted through the power simulation module, and the estimated working condition demand information of the parts is obtained; the working condition information comparison module obtains a target value of the working condition of the part under the estimated working condition by comparing the difference between the estimated working condition demand information and the current working condition information; and the target control module judges and outputs the target working state and the control method of the part according to the preset control logic. In the specific implementation, after the vehicle is started and initialized, a working condition estimation module determines the current working condition through initial signals including, but not limited to, parameters such as a vehicle speed, a pedal opening degree, a gear, a power range, a power change rate and the like, and determines the estimated working condition for a period of time in the future through a road condition prediction tool, including, but not limited to, the vehicle speed range, the gear, an acceleration and deceleration condition, an altitude change rate and the like; the power simulation module is used for preprocessing the obtained estimated working condition to obtain the estimated working condition demand information and the power pre-allocation condition of each system when the whole vehicle runs, and in a specific implementation, the power simulation module can simulate the energy demand and consumption of the whole vehicle and the pre-working condition of each system part in a future period or mileage through built-in prediction simulation according to the whole vehicle parameter configuration information and the estimated working condition running demand, wherein the situations include, but are not limited to, the kinetic energy demand, the potential energy demand, the consumed energy, the total driving energy demand, the required power, the rotating speed, the torque, the control mode and the like, and feed back the working target values of the parts to the control model as the input of the next processing period. The power simulation module corresponding to this embodiment may be shown in fig. 3, and fig. 3 is a schematic structural frame diagram of the power simulation module according to an embodiment of the present invention.
It should be noted that, the performing multi-condition parallel judgment according to the parameter values and the parameter thresholds corresponding to the parameter values, and determining the target vehicle energy control adjustment strategy corresponding to the target vehicle according to the judgment result may include: acquiring working electric quantity, and determining a parameter threshold corresponding to a parameter value according to an electric quantity interval to which the working electric quantity belongs; and carrying out multi-condition parallel judgment according to each parameter value and parameter threshold value, and determining a target vehicle energy control adjustment strategy according to the judgment result. According to the embodiment, the electric quantity interval can be determined according to the working electric quantity, so that the parameter threshold corresponding to the parameter value is determined, multi-condition parallel judgment is carried out according to each parameter value and the parameter threshold, and the energy control adjustment strategy of the target vehicle is determined. The embodiment can determine the parameter threshold according to the electric quantity interval, thereby improving the accuracy of the parameter threshold determination.
It should be noted that, the performing multi-condition parallel judgment according to the parameter values and the parameter thresholds corresponding to the parameter values, and determining the target vehicle energy control adjustment strategy corresponding to the target vehicle according to the judgment result may include: and carrying out multi-condition parallel judgment according to the parameter value and the parameter threshold value, and determining the target vehicle energy control adjustment strategy to be adjusted in a response gradient mode of rotating speed response or torque response and/or in a response mode of rotating speed response or torque response according to the judgment result. The embodiment can adjust in response gradient and response mode, and improve the diversity of adjustment.
It should be noted that, the foregoing multi-condition parallel determination according to the parameter value and the parameter threshold value, and determining, according to the determination result, that the target vehicle energy control adjustment policy is to be adjusted in a response gradient of a rotational speed response or a torque response, and/or to be adjusted in a response manner of the rotational speed response or the torque response may include: and carrying out multi-condition parallel judgment according to the parameter value and the parameter threshold value, and determining a target vehicle energy control adjustment strategy according to a judgment result, wherein the target vehicle energy control adjustment strategy is adjusted in a torque response mode when the power generation curve is changed mainly by a torque increment, and is adjusted in a rotating speed response mode when the power generation curve is changed mainly by a rotating speed increment. In the embodiment, when the power generation curve change is mainly the torque increment, the power generation curve is adjusted by a torque response mode, and when the power generation curve change is mainly the rotation speed increment, the power generation curve is adjusted by a rotation speed response mode, and the target adjustment mode can be determined according to the discharge power response mode, so that the accuracy of energy adjustment is improved.
The vehicle capacity management method provided by the embodiment of the invention can comprise the following steps: and acquiring current working condition information and predicted working condition information. And determining a plurality of parameter values according to the current working condition information and the predicted working condition information. Performing multi-condition parallel judgment according to the parameter values and parameter thresholds corresponding to the parameter values, and determining a target vehicle energy control adjustment strategy corresponding to the target vehicle according to the judgment result; wherein, the multi-condition parallel judgment means that a plurality of judgment conditions are satisfied simultaneously. Compared with the current energy configuration according to a single parameter, which leads to frequent start and stop of the vehicle and large energy consumption, the method can simultaneously and parallelly judge according to a plurality of parameters, prevent the frequent start and stop of the vehicle from carrying out energy management, reduce the energy consumption of the vehicle and improve the energy distribution efficiency. And the parameter threshold is determined according to the working electric quantity, so that the accuracy of determining the parameter threshold is improved; in addition, the parameters in the embodiment are the vehicle speed change rate and the average power change rate, and the association degree between the vehicle speed and the power and the vehicle running is maximum, so that the energy allocation is carried out according to the vehicle speed change rate and the average power change rate, and the accuracy of energy management can be improved; in addition, when energy management is carried out, the energy management is carried out according to time, so that the accuracy of the energy management is improved; and, determining the target vehicle energy control adjustment strategy to adjust with a response gradient of a rotational speed response or a torque response and/or to adjust with a response of a rotational speed response or a torque response improves the relationship between energy management and rotational speed and torque, thereby improving the diversity of energy management.
For easier understanding of the present invention, referring specifically to fig. 4, fig. 4 is a flowchart illustrating a method for distributing energy to a hybrid vehicle according to an embodiment of the present invention, which may specifically include:
step 1: the state of the whole vehicle energy storage system is set to be different electric quantity interval grades, and corresponding control logic calculation can be performed under the different electric quantity interval grades. The energy storage system state includes, but is not limited to, SOC (system on a chip), power, capacity, or remaining available power, etc. Taking a certain electric quantity interval class as an example, the following is explained:
step 2: parameter information is acquired, and the vehicle speed change rate Δv=100% × (V prediction-V current)/V current, and the average power change rate Δvrg=100% × (Pavrg prediction-Pavrg current)/Pavrg current.
In this embodiment, V is predicted as predicted vehicle speed condition information, pavrg is predicted as predicted power condition information, V is current vehicle speed condition information, and Pavrg is current predicted vehicle speed condition information. The embodiment can also weight the judgment of the accumulated time TV concerning the rate of change of speed and the accumulated time TP concerning the rate of change of power at the same time as the judgment of each rate of change, and output a valid command state when the actual accumulated time T is greater than the set threshold value TV or TP. Different calibration values Tn are set for a threshold delta of DeltaV or DeltaPavrg and a threshold value TV or TP of an actual accumulated time T, and the calibration values Tn are all empirical calibration values. X in this embodiment is the multiplier.
Step 3: when the change rate DeltaV is less than or equal to DeltaV and DeltaPavrg is less than or equal to DeltaP, the working state of the system is unchanged.
The δv and δp in this embodiment are empirical values, and the empirical values corresponding to different electric power intervals are different. In this example, deltaV is less than or equal to DeltaV and DeltaPavrg is less than or equal to DeltaP, the operating state of the system is not adjusted.
Step 4: when the change rate DeltaV is less than or equal to DeltaV and DeltaPavrg is more than DeltaP, the working state of the delta V range extender system is adjusted according to a preset control strategy. The preset control strategy comprises a mode 1 of responding to the rotating speed or torque, so that the economy of the whole vehicle system can be improved, and the whole vehicle power requirement can be met.
This embodiment is particularly in one implementation: mode 1 is adjusted in response to a built-in rotational speed response or torque response. And according to a set control strategy, based on the optimal working condition curve of power generation, when the power generation curve is changed to be mainly provided with a torque increment, the power generation curve is adjusted by a torque response mode, and when the power generation curve is changed to be mainly provided with a rotating speed increment, the power generation curve is adjusted by a rotating speed response mode.
Step 5: when the change rate delta V is more than delta V and delta Pavrg is more than delta P, judging whether the whole vehicle is in a climbing acceleration working condition or not.
The embodiment can output the climbing acceleration working condition zone bit.
Step 6: if the system is not in the climbing acceleration working condition, the working state of the parts of the system is adjusted in a set rotating speed response or torque response mode 2, and the output of other power sources is coordinated.
Mode 2 of the present embodiment adjusts with a response gradient of a built-in rotational speed response or torque response. And obtaining different torque response gradients through a set control strategy according to the speed change rate, the gradient change rate and the like so as to meet different power requirements.
Step 7: and if the system is under the condition of climbing acceleration, the working state of the parts of the system is adjusted in a set rotating speed or torque response mode 3.
Mode 3 of this embodiment is understood to be a set of modes 1 and 2, in which the response mode of the rotational speed response or the torque response is set in the internal mode and the response gradient matched with the response mode is adjusted at the same time.
The embodiment comprises a target control module which mainly outputs working instructions and power requirements of parts of each system according to a preset control strategy according to the working target values and the comparison response degrees of the parts, so that energy distribution management is realized, and power output is ensured to be in a reasonable range. The standard amounts referred to in the different ways in this example are all empirically standard amounts. The numbers of the range extender systems are distinguished by built-in register data, and the start and stop or state maintenance of the range extender with different numbers is comprehensively determined according to the total power requirement and the working state of each range extender system, so that the priority start with short accumulated running time or the priority stop with long accumulated running time is realized; the operating states/instructions of each range extender system include, but are not limited to, range extender system numbers, start-stop switches, operating states, operating modes, output power, rotational speed, torque, etc.
According to the embodiment of the invention, the power simulation can be automatically carried out on the working condition in a future period according to the preset time period, the working condition demand information is output, the target value response degree is determined through the working condition demand information change comparison, the part characteristics and the like, and the working state working points of the parts are adjusted according to the set control strategy, so that the system can work in a reasonable and stable state, and the whole vehicle performance is improved.
A vehicle energy management apparatus according to an embodiment of the present invention is described below, and the vehicle energy management apparatus described below and the vehicle energy management method described above may be referred to correspondingly to each other.
Referring specifically to fig. 5, fig. 5 is a schematic structural diagram of a vehicle energy management device according to an embodiment of the present invention, which may include:
the current working condition information and prediction working condition information acquisition module 100 is used for acquiring current working condition information and prediction working condition information;
a parameter value determining module 200, configured to determine a plurality of parameter values according to the current operating condition information and the predicted operating condition information;
the energy control adjustment strategy determining module 300 is configured to perform multi-condition parallel judgment according to the parameter values and parameter thresholds corresponding to the parameter values, and determine a target vehicle energy control adjustment strategy corresponding to the target vehicle according to a judgment result; wherein, the multi-condition parallel judgment means that a plurality of judgment conditions are satisfied simultaneously.
Further, based on the above embodiment, the above energy control adjustment policy determining module 300 may include:
the working electric quantity acquisition unit is used for acquiring working electric quantity and determining the parameter threshold corresponding to the parameter value according to an electric quantity interval to which the working electric quantity belongs;
and the energy control adjustment strategy determining unit is used for carrying out the multi-condition parallel judgment according to the parameter values and the parameter threshold values to determine the target vehicle energy control adjustment strategy.
Further, based on any of the above embodiments, the parameter value determining module 200 may include:
the change rate determining unit is used for determining the change rate of the vehicle speed and the average power change rate according to the current working condition information and the predicted working condition information;
accordingly, the energy control adjustment strategy determination module 300 may include:
and the change rate adjusting unit is used for carrying out multi-condition parallel judgment according to the vehicle speed change rate, the average power change rate, the vehicle speed change rate parameter threshold and the average power change rate threshold, and determining the target vehicle energy control adjustment strategy corresponding to the target vehicle according to a judgment result.
Further, based on the above embodiment, the above adjustment unit according to the change rate may include:
a threshold value determining subunit, configured to determine, according to the vehicle speed change cumulative time and the power change cumulative time corresponding to the vehicle speed change rate and the average power change rate, the vehicle speed change rate parameter threshold value and the average power change rate threshold value corresponding to different cumulative times;
and the target vehicle energy control and adjustment subunit is used for carrying out the multi-condition parallel judgment according to the vehicle speed change rate, the average power change rate, the vehicle speed change rate parameter threshold and the average power change rate threshold, and determining the target vehicle energy control and adjustment strategy corresponding to the target vehicle according to a judgment result.
Further, based on any of the above embodiments, the energy control adjustment strategy determination module 300 may include:
and the rotating speed and torque adjusting unit is used for carrying out the multi-condition parallel judgment according to the parameter value and the parameter threshold value, and determining the target vehicle energy control adjusting strategy to be adjusted in a response gradient mode of rotating speed response or torque response and/or in a response mode of rotating speed response or torque response according to the judgment result.
Further, based on the above embodiment, the above rotation speed and torque adjustment unit may include:
and the rotating speed and torque adjusting subunit is used for carrying out the multi-condition parallel judgment according to the parameter value and the parameter threshold value, and determining the target vehicle energy control adjusting strategy according to the judgment result, wherein the target vehicle energy control adjusting strategy is adjusted in a torque response mode when the change of the power generation curve is mainly the torque increment, and is adjusted in a rotating speed response mode when the change of the power generation curve is mainly the rotating speed increment.
Further, according to any of the above embodiments, the vehicle energy management device may further include:
and the working condition simulation module is used for carrying out power simulation according to the current working condition to obtain the predicted working condition information.
The modules and units in the vehicle energy management device may be changed in order without affecting the logic.
The vehicle energy management device provided by the embodiment of the invention can comprise: the current working condition information and prediction working condition information acquisition module 100 is used for acquiring current working condition information and prediction working condition information; a parameter value determining module 200, configured to determine a plurality of parameter values according to the current operating condition information and the predicted operating condition information; the energy control adjustment strategy determining module 300 is configured to perform multi-condition parallel judgment according to the parameter values and parameter thresholds corresponding to the parameter values, and determine a target vehicle energy control adjustment strategy corresponding to the target vehicle according to a judgment result; wherein, the multi-condition parallel judgment means that a plurality of judgment conditions are satisfied simultaneously. Compared with the current energy configuration according to a single parameter, which leads to frequent start and stop of the vehicle and large energy consumption, the method can simultaneously and parallelly judge according to a plurality of parameters, prevent the frequent start and stop of the vehicle from carrying out energy management, reduce the energy consumption of the vehicle and improve the energy distribution efficiency. And the parameter threshold is determined according to the working electric quantity, so that the accuracy of determining the parameter threshold is improved; in addition, the parameters in the embodiment are the vehicle speed change rate and the average power change rate, and the association degree between the vehicle speed and the power and the vehicle running is maximum, so that the energy allocation is carried out according to the vehicle speed change rate and the average power change rate, and the accuracy of energy management can be improved; in addition, when energy management is carried out, the energy management is carried out according to time, so that the accuracy of the energy management is improved; and, determining the target vehicle energy control adjustment strategy to adjust with a response gradient of a rotational speed response or a torque response and/or to adjust with a response of a rotational speed response or a torque response improves the relationship between energy management and rotational speed and torque, thereby improving the diversity of energy management.
A vehicle energy management apparatus provided in an embodiment of the present invention is described below, and the vehicle energy management apparatus described below and the vehicle energy management method described above may be referred to correspondingly to each other.
Referring to fig. 6, fig. 6 is a schematic structural diagram of a vehicle energy management device according to an embodiment of the present invention, which may include:
a memory 10 for storing a computer program;
a processor 20 for executing a computer program to implement the vehicle energy management method described above.
The memory 10, the processor 20, and the communication interface 30 all communicate with each other via a communication bus 40.
In the embodiment of the present invention, the memory 10 is used for storing one or more programs, the programs may include program codes, the program codes include computer operation instructions, and in the embodiment of the present invention, the memory 10 may store programs for implementing the following functions:
acquiring current working condition information and predicted working condition information;
determining a plurality of parameter values according to the current working condition information and the predicted working condition information;
performing multi-condition parallel judgment according to the parameter values and parameter thresholds corresponding to the parameter values, and determining a target vehicle energy control adjustment strategy corresponding to the target vehicle according to the judgment result; wherein, the multi-condition parallel judgment means that a plurality of judgment conditions are satisfied simultaneously.
In one possible implementation, the memory 10 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, and at least one application program required for functions, etc.; the storage data area may store data created during use.
In addition, memory 10 may include read only memory and random access memory and provide instructions and data to the processor. A portion of the memory may also include NVRAM. The memory stores an operating system and operating instructions, executable modules or data structures, or a subset thereof, or an extended set thereof, where the operating instructions may include various operating instructions for performing various operations. The operating system may include various system programs for implementing various basic tasks as well as handling hardware-based tasks.
The processor 20 may be a central processing unit (Central Processing Unit, CPU), an asic, a dsp, a fpga or other programmable logic device, and the processor 20 may be a microprocessor or any conventional processor. The processor 20 may call a program stored in the memory 10.
The communication interface 30 may be an interface of a communication module for connecting with other devices or systems.
Of course, it should be noted that the structure shown in fig. 6 does not constitute a limitation of the vehicle energy management apparatus in the embodiment of the invention, and the vehicle energy management apparatus may include more or less components than those shown in fig. 6, or may combine some components in practical applications.
The following describes a computer-readable storage medium provided by an embodiment of the present invention, and the computer-readable storage medium described below and the vehicle energy management method described above may be referred to correspondingly with each other.
The present invention also provides a computer readable storage medium having a computer program stored thereon, which when executed by a processor, implements the steps of the vehicle energy management method described above.
The computer readable storage medium may include: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
In this specification, each embodiment is described in a progressive manner, and each embodiment is mainly described in a different point from other embodiments, so that the same or similar parts between the embodiments are referred to each other. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant points refer to the description of the method section.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative elements and steps are described above generally in terms of functionality in order to clearly illustrate the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
Finally, it is further noted that, in this document, relational terms such as first and second, and the like are 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. Moreover, 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.
The foregoing has outlined rather broadly the principles and embodiments of the present invention in order that the detailed description of the invention that follows may be better understood, and in order that the present invention may be better understood; meanwhile, as those skilled in the art will have variations in the specific embodiments and application scope in accordance with the ideas of the present invention, the present description should not be construed as limiting the present invention in view of the above.
Claims (7)
1. A vehicle energy management method, comprising:
acquiring current working condition information and predicted working condition information;
determining a vehicle speed change rate and an average power change rate according to the current working condition information and the predicted working condition information;
acquiring working electric quantity, determining vehicle speed change accumulation time and power change accumulation time corresponding to the vehicle speed change rate and the average power change rate according to an electric quantity interval to which the working electric quantity belongs, and determining vehicle speed change rate parameter thresholds and average power change rate thresholds corresponding to different accumulation times;
performing multi-condition parallel judgment according to the vehicle speed change rate, the average power change rate, the vehicle speed change rate parameter threshold and the average power change rate threshold, and determining a target vehicle energy control adjustment strategy corresponding to a target vehicle according to a judgment result; wherein, the multi-condition parallel judgment means that a plurality of judgment conditions are satisfied simultaneously.
2. The vehicle energy management method according to claim 1, wherein the determining the target vehicle energy control adjustment strategy corresponding to the target vehicle according to the determination result by performing multi-condition parallel determination according to the vehicle speed change rate and the average power change rate, and the vehicle speed change rate parameter threshold and the average power change rate threshold includes:
and carrying out multi-condition parallel judgment according to the vehicle speed change rate and the average power change rate, the vehicle speed change rate parameter threshold and the average power change rate threshold, and determining the target vehicle energy control adjustment strategy to be adjusted in a response gradient of a rotating speed response or a torque response and/or in a response mode of the rotating speed response or the torque response according to a judgment result.
3. The vehicle energy management method according to claim 2, wherein the determining, based on the vehicle speed change rate and the average power change rate, and the vehicle speed change rate parameter threshold and the average power change rate threshold, the target vehicle energy control adjustment strategy to adjust with a response gradient of a rotational speed response or a torque response, and/or to adjust with a response of the rotational speed response or the torque response, includes:
and carrying out multi-condition parallel judgment according to the vehicle speed change rate, the average power change rate, the vehicle speed change rate parameter threshold and the average power change rate threshold, and determining the target vehicle energy control adjustment strategy according to a judgment result, wherein the target vehicle energy control adjustment strategy is adjusted in a torque response mode when the power generation power curve is changed mainly in a torque increment, and is adjusted in a rotational speed response mode when the power generation power curve is changed mainly in a rotational speed increment.
4. The vehicle energy management method of claim 1, further comprising, prior to the obtaining the current operating condition information and the predicted operating condition information:
and performing power simulation according to the current working condition to obtain the predicted working condition information.
5. A vehicle energy management apparatus, comprising:
the current working condition information and prediction working condition information acquisition module is used for acquiring current working condition information and prediction working condition information;
the vehicle speed change rate and average power change rate determining module is used for determining the vehicle speed change rate and the average power change rate according to the current working condition information and the predicted working condition information;
the vehicle speed change rate parameter threshold and average power change rate threshold determining module is used for obtaining working electric quantity, determining vehicle speed change accumulation time and power change accumulation time corresponding to the vehicle speed change rate and the average power change rate according to an electric quantity interval to which the working electric quantity belongs, and determining vehicle speed change rate parameter thresholds and average power change rate thresholds corresponding to different accumulation times;
the target vehicle energy control adjustment strategy determining module is used for performing multi-condition parallel judgment according to the vehicle speed change rate and the average power change rate, as well as the vehicle speed change rate parameter threshold and the average power change rate threshold, and determining a target vehicle energy control adjustment strategy corresponding to the target vehicle according to a judgment result; wherein, the multi-condition parallel judgment means that a plurality of judgment conditions are satisfied simultaneously.
6. A vehicle energy management apparatus, characterized by comprising:
a memory for storing a computer program;
a processor for implementing the vehicle energy management method of any one of claims 1 to 4 when executing the computer program.
7. A computer readable storage medium having stored therein computer executable instructions which when loaded and executed by a processor implement the vehicle energy management method of any one of claims 1 to 4.
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