Energy consumption prediction method and system for hybrid electric vehicle

Abstract

The invention provides an energy consumption prediction method and system for a hybrid electric vehicle, and the method comprises the steps: obtaining a plurality of simulated driving paths for simulating the hybrid electric vehicle, and carrying out the path division of the plurality of simulated driving paths, so as to obtain a plurality of electric quantity consumption driving paths and a plurality of electric quantity maintenance driving paths; dividing the plurality of electric quantity maintenance driving paths into a plurality of power intervals based on the instantaneous state information of the simulated hybrid electric vehicle, and determining the power utilization probability and the oil utilization probability in the plurality of electric quantity maintenance driving paths through the power intervals; the fuel consumption rate and the power consumption rate of the simulation hybrid electric vehicle in the power interval are obtained, and then first energy consumption in the multiple electric quantity maintaining driving paths is obtained; and acquiring second energy consumption in the plurality of power consumption driving paths, and determining total energy consumption through the first energy consumption and the second energy consumption. In this way, an accurate and efficient prediction method is provided for energy consumption prediction of the plug-in hybrid electric vehicle.

Description

Technical Field

[0001] The present invention relates to the technical field of data prediction, and in particular to a method and system for predicting energy consumption of a hybrid electric vehicle. Background Art

[0002] The energy of traditional fuel vehicles is entirely converted from the chemical energy generated by the combustion of gasoline. The prediction of their power consumption is relatively simple. It only requires one test based on the test requirements and the prediction of fuel consumption can be completed by collecting the corresponding data.

[0003] With the demand for optimizing traditional energy, new energy vehicles have emerged. The number of plug-in hybrid vehicles has increased year by year. Compared with traditional fuel vehicles, they use both electrical energy and chemical energy as the kinetic energy of the vehicle, effectively reducing the use of gasoline and meeting the needs of energy optimization.

[0004] However, for the energy consumption prediction of plug-in hybrid vehicles, it is necessary to consider issues such as the judgment of the work sharing of fuel and electricity consumption, which increases the complexity of energy consumption prediction. The existing energy consumption prediction method for fuel vehicles is only applicable to the energy consumption prediction of a single energy source and cannot accurately predict the energy consumption of plug-in hybrid vehicles. Summary of the invention

[0005] In view of the deficiencies in the prior art, the purpose of the present invention is to provide a method and system for predicting energy consumption of a hybrid electric vehicle, aiming to solve the technical problems in the prior art that the energy consumption prediction of plug-in hybrid electric vehicles driven by a dual energy mode of fuel and electricity is highly complex and lacks effective prediction means.

[0006] In order to achieve the above objectives, in a first aspect, an embodiment of the present application provides a method for predicting energy consumption of a hybrid electric vehicle, comprising the following steps: Acquire a plurality of simulated driving paths of the simulated hybrid electric vehicle, and divide the plurality of simulated driving paths into paths to acquire a plurality of power consumption driving paths and a plurality of power maintenance driving paths; Based on the instantaneous state information of the simulated hybrid vehicle, the plurality of power-maintaining driving paths are divided into a plurality of power intervals, and the probability of using electricity and the probability of using oil of the simulated hybrid vehicle in the plurality of power-maintaining driving paths are determined by the power intervals; Obtaining a fuel consumption rate and an electricity consumption rate of the simulated hybrid vehicle in the power range, and determining a first energy consumption of the simulated hybrid vehicle in a plurality of power-maintaining driving paths based on the fuel consumption rate, the electricity consumption rate, the fuel consumption probability, and the electricity consumption probability; The second energy consumption of the simulated hybrid vehicle in the plurality of power consumption driving paths is obtained, and the total energy consumption is determined by the first energy consumption and the second energy consumption to complete energy consumption prediction.

[0007] Compared with the prior art, the beneficial effects of the present invention are as follows: by dividing the simulated driving path, the power consumption form path and the power maintenance driving path are obtained, and the driving path of the pure electric mode with less fuel participation is cut out; by dividing the power maintenance driving path into power intervals, and then determining the power consumption probability and the oil consumption probability through the power intervals, the driving path involving both fuel and electric energy is further divided in detail, the work sharing problem of fuel and electric energy is clarified, and the energy consumption prediction is completed by respectively obtaining the first energy consumption and the second energy consumption, thereby providing an accurate and efficient prediction method for the energy consumption prediction of plug-in hybrid vehicles.

[0008] Furthermore, the step of dividing the plurality of simulated driving paths to obtain a plurality of power consumption driving paths and a plurality of power maintenance driving paths includes: determining whether the driving time corresponding to the simulated driving path is greater than a first threshold, and if the driving time is greater than the first threshold, determining the simulated driving path as a valid driving path; Obtaining a duration in which the engine speed of the simulated hybrid vehicle is greater than 0 in the effective driving path, and determining whether a ratio between the duration and the driving time is less than a second threshold; If the ratio between the duration and the driving duration is less than a second threshold, the effective driving path is determined to be a power consumption driving path; If the ratio between the duration and the driving duration is greater than a second threshold, obtaining a startup duration between the start time of the effective driving route and the start time when the engine speed of the simulated hybrid vehicle is greater than 0, and determining whether the startup duration is greater than a third threshold; If the startup time is less than the third threshold, the effective driving path is determined to be a power-maintaining driving path; if the startup time is greater than the third threshold, the effective driving path is divided into a secondary path.

[0009] Furthermore, the first threshold and the third threshold are both 180s, and the second threshold is 5%.

[0010] Furthermore, the step of performing secondary path segmentation on the effective driving path is specifically as follows: In the effective driving path, a path point corresponding to a start time when the engine speed of the simulated hybrid vehicle is greater than 0 is selected as a split point; The path between the starting point of the effective driving path and the dividing point is selected as the power consumption driving path, and the path between the dividing point and the midpoint of the effective driving path is selected as the power maintenance driving path.

[0011] Furthermore, the instantaneous state information includes instantaneous speed and instantaneous acceleration, and the step of dividing the plurality of power-maintaining driving paths into a plurality of power intervals based on the instantaneous state information of the simulated hybrid vehicle includes: Acquiring the instantaneous speed and instantaneous acceleration of the simulated hybrid vehicle in a number of the power-maintaining driving paths; Acquiring the instantaneous power of the simulated hybrid electric vehicle through the instantaneous speed and the instantaneous acceleration; The instantaneous power is clustered to divide a plurality of the power-maintaining driving paths into a plurality of power intervals.

[0012] Furthermore, the calculation formula of the instantaneous power is: , in, represents the instantaneous power at time t, represents the road load factor related to rolling resistance, represents the road load factor related to the mechanical rotational resistance, represents the road load factor related to air resistance, represents the instantaneous speed at time t, represents the instantaneous acceleration at time t, represents the mass of the simulated hybrid vehicle, represents the acceleration due to gravity, represents the road slope at time t.

[0013] Furthermore, the power range is -20kW / t~20kW / t, and the formula for obtaining the power consumption probability is: , in, represents the probability of electricity consumption, Indicates the sample size of power interval y in driving speed interval x when the power is in use. Represents the total sample size in the driving speed interval x.

[0014] Furthermore, the step of determining the first energy consumption of the simulated hybrid vehicle in the plurality of power-maintaining driving paths based on the fuel consumption rate, the power consumption rate, the fuel consumption probability and the power consumption probability includes: Dividing the plurality of power-maintaining driving paths into power-using paths and oil-using paths according to the oil-using probability and the power-using probability, and obtaining first distances and second distances corresponding to the power-using paths and the oil-using paths respectively; Obtaining a fuel consumption factor through the fuel consumption rate and the fuel consumption probability, and obtaining a power consumption factor through the power consumption rate and the power consumption probability; A first energy consumption is obtained based on the fuel consumption factor, the first distance, the electric consumption factor and the second distance.

[0015] Furthermore, the formula for obtaining the power consumption factor is: , in, represents the power consumption factor, represents the average speed in the driving speed interval x, represents the probability of electricity consumption, represents the power consumption rate in power interval y; The formula for obtaining the first energy consumption is: , in, represents the first energy consumption, represents the fuel consumption factor, represents the first distance, Indicates the second distance.

[0016] In a second aspect, an embodiment of the present application provides a hybrid electric vehicle power consumption prediction system, which is applied to the hybrid electric vehicle energy consumption prediction method as described in the first aspect above, and the system includes: An identification module, used for obtaining a plurality of simulated driving paths of a simulated hybrid electric vehicle, and dividing the plurality of simulated driving paths to obtain a plurality of power consumption driving paths and a plurality of power maintenance driving paths; a differentiation module, for dividing the plurality of power-maintaining driving paths into a plurality of power intervals based on the instantaneous state information of the simulated hybrid vehicle, and determining the probability of using electricity and the probability of using oil of the simulated hybrid vehicle in the plurality of power-maintaining driving paths through the power intervals; A first acquisition module is used to acquire the fuel consumption rate and the electricity consumption rate of the simulated hybrid vehicle in the power range, and determine the first energy consumption of the simulated hybrid vehicle in the plurality of power-maintaining driving paths based on the fuel consumption rate, the electricity consumption rate, the fuel consumption probability and the electricity consumption probability; The second acquisition module is used to acquire the second energy consumption of the simulated hybrid vehicle in the plurality of power consumption driving paths, and determine the total energy consumption through the first energy consumption and the second energy consumption to complete energy consumption prediction.

[0017] In a third aspect, an embodiment of the present application provides a computer, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the method for predicting energy consumption of a hybrid vehicle as described in the first aspect above is implemented.

[0018] In a fourth aspect, an embodiment of the present application provides a storage medium having a computer program stored thereon, which, when executed by a processor, implements the method for predicting energy consumption of a hybrid vehicle as described in the first aspect above. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 A flowchart of a method for predicting energy consumption of a hybrid vehicle in accordance with a first embodiment of the present invention; Figure 2 A structural block diagram of a power consumption prediction system for a hybrid vehicle according to a second embodiment of the present invention; The following specific implementation manner will further illustrate the present invention in conjunction with the above-mentioned drawings. DETAILED DESCRIPTION

[0020] In order to facilitate the understanding of the present invention, the present invention will be described more fully below with reference to the relevant drawings. Several embodiments of the present invention are given in the drawings. However, the present invention can be implemented in many different forms and is not limited to the embodiments described herein. On the contrary, the purpose of providing these embodiments is to make the disclosure of the present invention more thorough and comprehensive.

[0021] It should be noted that when an element is referred to as being "fixed to" another element, it may be directly on the other element or there may be a central element. When an element is considered to be "connected to" another element, it may be directly connected to the other element or there may be a central element at the same time. The terms "vertical", "horizontal", "left", "right" and similar expressions used herein are for illustrative purposes only.

[0022] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art to which the present invention belongs. The terms used herein in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. The term "and / or" used herein includes any and all combinations of one or more of the related listed items.

[0023] See also Figure 1 The energy consumption prediction method of a hybrid vehicle provided by the first embodiment of the present invention comprises the following steps: S10: obtaining a plurality of simulated driving paths of the simulated hybrid vehicle, dividing the plurality of simulated driving paths to obtain a plurality of power consumption driving paths and a plurality of power maintenance driving paths; The step S10 comprises: S110: determining whether the driving time corresponding to the simulated driving path is greater than a first threshold, and if the driving time is greater than the first threshold, determining the simulated driving path as a valid driving path; In this embodiment, the first threshold is 180 seconds. It can be understood that if the driving time is less than 180 seconds, the simulated driving path is determined to be an invalid driving path, and the invalid driving path is eliminated.

[0024] S120: Obtaining a duration in which the engine speed of the simulated hybrid vehicle is greater than 0 in the effective driving path, and determining whether a ratio between the duration and the driving time is less than a second threshold; In this embodiment, the second threshold is 5%.

[0025] S130: If the ratio between the duration and the driving duration is less than a second threshold, determining the effective driving path as a power consumption driving path; S140: If the ratio between the duration and the driving duration is greater than a second threshold, obtaining a startup duration between the start time of the effective driving route and the start time when the engine speed of the simulated hybrid vehicle is greater than 0, and determining whether the startup duration is greater than a third threshold; In this embodiment, the third threshold is 180s.

[0026] S150: If the startup time is less than the third threshold, the effective driving path is determined to be a power-maintaining driving path; if the startup time is greater than the third threshold, the effective driving path is divided into a secondary path; Specifically, in the effective driving path, the path point corresponding to the start time when the engine speed of the simulated hybrid vehicle is greater than 0 is selected as the split point; the path between the starting point of the effective driving path and the split point is selected as the power consumption driving path, and the path between the split point and the midpoint of the effective driving path is selected as the power maintenance driving path. After completing multiple path splits, a number of the power consumption driving paths and a number of the power maintenance driving paths can be obtained.

[0027] S20: based on the instantaneous state information of the simulated hybrid vehicle, dividing the plurality of power-maintaining driving paths into a plurality of power intervals, and determining the probability of using electricity and the probability of using oil of the simulated hybrid vehicle in the plurality of power-maintaining driving paths through the power intervals; The instantaneous state information includes instantaneous speed and instantaneous acceleration.

[0028] The step S20 comprises: S210: acquiring instantaneous speed and instantaneous acceleration of the simulated hybrid vehicle in a plurality of the power-maintaining driving paths; S220: Obtaining instantaneous power of the simulated hybrid electric vehicle through the instantaneous speed and the instantaneous acceleration; The calculation formula of the instantaneous power is: , in, represents the instantaneous power at time t, represents the road load factor related to rolling resistance, represents the road load factor related to the mechanical rotational resistance, represents the road load factor related to air resistance, represents the instantaneous speed at time t, represents the instantaneous acceleration at time t, represents the mass of the simulated hybrid vehicle, represents the acceleration due to gravity, represents the road slope at time t.

[0029] S230: clustering the instantaneous power to divide the plurality of power-maintaining driving paths into a plurality of power intervals; By dividing the power intervals into different ones, and classifying the instantaneous powers corresponding to the power intervals into the same power interval, clustering processing is completed. Clustering algorithms are now widely used and will not be described here. In this embodiment, the power interval is -20kW / t~20kW / t.

[0030] The formula for obtaining the power consumption probability is: , in, represents the probability of electricity consumption, Indicates the sample size of power interval y in driving speed interval x when the power is in use. Represents the total sample size in the driving speed interval x.

[0031] The formula for obtaining the oil usage probability is consistent with the formula for obtaining the electricity usage probability, and will not be described in detail here. It should be noted that 0 indicates that the engine is not running, and in this embodiment, 1 indicates that the engine is running.

[0032] S30: Obtaining the fuel consumption rate and the electricity consumption rate of the simulated hybrid vehicle in the power range, and determining a first energy consumption of the simulated hybrid vehicle in the plurality of power-maintaining driving paths based on the fuel consumption rate, the electricity consumption rate, the fuel consumption probability and the electricity consumption probability; The step S30 comprises: S310: dividing the plurality of power-maintaining driving paths into power-using paths and oil-using paths according to the oil-using probability and the electricity-using probability, and obtaining first distances and second distances corresponding to the power-using paths and the oil-using paths, respectively; The first distance and the second distance can be obtained by multiplying the total distance of the driving route maintained by the power consumption by the power consumption probability and the oil consumption probability respectively.

[0033] S320: Obtaining a fuel consumption factor through the fuel consumption rate and the fuel consumption probability, and obtaining a power consumption factor through the power consumption rate and the power consumption probability; The formula for obtaining the power consumption factor is: , in, represents the power consumption factor, represents the average speed in the driving speed interval x, represents the probability of electricity consumption, The formula for obtaining the fuel consumption factor is the same as the formula for obtaining the power consumption factor, and will not be described in detail here.

[0034] S330: Obtaining a first energy consumption based on the fuel consumption factor, the first distance, the power consumption factor, and the second distance; The formula for obtaining the first energy consumption is: , in, represents the first energy consumption, represents the fuel consumption factor, represents the first distance, Indicates the second distance.

[0035] S40: obtaining a second energy consumption of the simulated hybrid vehicle in the plurality of power consumption driving paths, and determining a total energy consumption by using the first energy consumption and the second energy consumption to complete energy consumption prediction; The second energy consumption is obtained by obtaining the corresponding full-distance power consumption factor in the power consumption driving path and multiplying it by the total distance of the power consumption driving path. The full-distance power consumption factor is obtained in the same way as the power consumption factor, except that the probability of electricity consumption and the probability of oil consumption do not need to be considered, which will not be described here. The total energy consumption is the sum of the first energy consumption and the second energy consumption. Further, after obtaining the total energy consumption, the prediction of unit energy consumption or energy consumption per 100 kilometers can be obtained according to the corresponding needs.

[0036] By dividing the simulated driving path into paths, the power consumption form path and the power maintenance driving path are obtained, and the driving path of the pure electric mode with less fuel participation is cut out; by dividing the power maintenance driving path into power intervals, and then determining the power consumption probability and the oil consumption probability through the power intervals, the driving path involving both fuel and electric energy is further divided in detail, the work sharing problem of fuel and electric energy is clarified, and energy consumption prediction is completed by respectively obtaining the first energy consumption and the second energy consumption, thereby providing an accurate and efficient prediction method for energy consumption prediction of plug-in hybrid vehicles.

[0037] See also Figure 2 The second embodiment of the present invention provides a hybrid electric vehicle power consumption prediction system, which is applied to the hybrid electric vehicle energy consumption prediction method described in the above embodiment, and will not be repeated here. As used below, the terms "module", "unit", "subunit", etc. can be a combination of software and / or hardware that implements a predetermined function. Although the device described in the following embodiments is preferably implemented in software, the implementation of hardware, or a combination of software and hardware, is also possible and conceivable.

[0038] The system comprises: The identification module 10 is used to obtain a plurality of simulated driving paths of the simulated hybrid vehicle, and divide the plurality of simulated driving paths into paths to obtain a plurality of power consumption driving paths and a plurality of power maintenance driving paths; The identification module 10 comprises: A first unit is used to determine whether the driving time corresponding to the simulated driving path is greater than a first threshold, and if the driving time is greater than the first threshold, the simulated driving path is determined to be a valid driving path; A second unit is used to obtain a duration in which the engine speed of the simulated hybrid vehicle is greater than 0 in the effective driving path, and to determine whether a ratio between the duration and the driving time is less than a second threshold; A third unit, configured to determine the effective driving path as a power consumption driving path if the ratio between the duration and the driving time is less than a second threshold; a fourth unit, for obtaining, if the ratio between the duration and the driving duration is greater than a second threshold, a startup duration between a start time of the effective driving route and a start time when the engine speed of the simulated hybrid vehicle is greater than 0, and determining whether the startup duration is greater than a third threshold; A fifth unit is configured to determine the effective driving path as a power-maintaining driving path if the startup time is less than the third threshold; and to perform secondary path segmentation on the effective driving path if the startup time is greater than the third threshold; The fifth unit is further configured to select, in the effective driving path, a path point corresponding to a start time when the engine speed of the simulated hybrid vehicle is greater than 0 as a split point; select a path between a starting point of the effective driving path and the split point as a power consumption driving path, and select a path between the split point and a midpoint of the effective driving path as a power maintenance driving path; A differentiation module 20, for dividing the plurality of power-maintaining driving paths into a plurality of power intervals based on the instantaneous state information of the simulated hybrid vehicle, and determining the probability of using electricity and the probability of using oil of the simulated hybrid vehicle in the plurality of power-maintaining driving paths through the power intervals; The differentiation module 20 comprises: A sixth unit, configured to obtain the instantaneous speed and the instantaneous acceleration of the simulated hybrid vehicle in a plurality of the power-maintaining driving paths; A seventh unit, configured to obtain the instantaneous power of the simulated hybrid electric vehicle through the instantaneous speed and the instantaneous acceleration; An eighth unit, configured to perform clustering processing on the instantaneous power to segment a plurality of the power-maintaining driving paths into a plurality of power intervals; A first acquisition module 30 is used to acquire the fuel consumption rate and the electricity consumption rate of the simulated hybrid vehicle in the power range, and determine the first energy consumption of the simulated hybrid vehicle in the plurality of power-maintaining driving paths based on the fuel consumption rate, the electricity consumption rate, the fuel consumption probability and the electricity consumption probability; The first acquisition module 30 includes: A ninth unit, configured to divide the plurality of power-maintaining driving paths into power-using paths and oil-using paths according to the oil-using probability and the power-using probability, and respectively obtain a first distance and a second distance corresponding to the power-using path and the oil-using path; A tenth unit is used to obtain a fuel consumption factor through the fuel consumption rate and the fuel consumption probability, and to obtain an electricity consumption factor through the electricity consumption rate and the electricity consumption probability; An eleventh unit, configured to obtain a first energy consumption based on the fuel consumption factor, the first distance, the power consumption factor and the second distance; The second acquisition module 40 is used to acquire the second energy consumption of the simulated hybrid vehicle in the plurality of power consumption driving paths, and determine the total energy consumption by the first energy consumption and the second energy consumption to complete energy consumption prediction.

[0039] The present invention also provides a computer, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the method for predicting energy consumption of a hybrid electric vehicle as described in the above technical solution is implemented.

[0040] The present invention also provides a storage medium on which a computer program is stored. When the computer program is executed by a processor, the method for predicting energy consumption of a hybrid electric vehicle as described in the above technical solution is implemented.

[0041] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "examples", "specific examples", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0042] The above-mentioned embodiments only express several implementation methods of the present invention, and the description thereof is relatively specific and detailed, but it cannot be understood as limiting the scope of the patent of the present invention. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, which all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.

Claims

1. A method for predicting energy consumption of a hybrid vehicle, characterized in that: The following steps are involved: Acquire a plurality of simulated driving paths of the simulated hybrid electric vehicle, and divide the plurality of simulated driving paths into paths to acquire a plurality of power consumption driving paths and a plurality of power maintenance driving paths; Based on the instantaneous state information of the simulated hybrid vehicle, the plurality of power-maintaining driving paths are divided into a plurality of power intervals, and the probability of using electricity and the probability of using oil of the simulated hybrid vehicle in the plurality of power-maintaining driving paths are determined by the power intervals; Obtaining a fuel consumption rate and an electricity consumption rate of the simulated hybrid vehicle in the power range, and determining a first energy consumption of the simulated hybrid vehicle in a plurality of power-maintaining driving paths based on the fuel consumption rate, the electricity consumption rate, the fuel consumption probability, and the electricity consumption probability; The second energy consumption of the simulated hybrid vehicle in the plurality of power consumption driving paths is obtained, and the total energy consumption is determined by the first energy consumption and the second energy consumption to complete energy consumption prediction.

2. The method for predicting energy consumption of a hybrid vehicle according to claim 1, characterized in that: The step of dividing the plurality of simulated driving paths to obtain a plurality of power consumption driving paths and a plurality of power maintenance driving paths comprises: determining whether the driving time corresponding to the simulated driving path is greater than a first threshold, and if the driving time is greater than the first threshold, determining the simulated driving path as a valid driving path; Obtaining a duration in which the engine speed of the simulated hybrid vehicle is greater than 0 in the effective driving path, and determining whether a ratio between the duration and the driving time is less than a second threshold; If the ratio between the duration and the driving duration is less than a second threshold, the effective driving path is determined to be a power consumption driving path; If the ratio between the duration and the driving duration is greater than a second threshold, obtaining a startup duration between the start time of the effective driving route and the start time when the engine speed of the simulated hybrid vehicle is greater than 0, and determining whether the startup duration is greater than a third threshold; If the startup time is less than the third threshold, the effective driving path is determined to be a power-maintaining driving path; if the startup time is greater than the third threshold, the effective driving path is divided into a secondary path.

3. The method for predicting energy consumption of a hybrid vehicle according to claim 2, characterized in that: The first threshold and the third threshold are both 180s, and the second threshold is 5%.

4. The method for predicting energy consumption of a hybrid vehicle according to claim 2, characterized in that: The step of performing secondary path segmentation on the effective driving path is specifically as follows: In the effective driving path, a path point corresponding to a start time when the engine speed of the simulated hybrid vehicle is greater than 0 is selected as a split point; The path between the starting point of the effective driving path and the dividing point is selected as the power consumption driving path, and the path between the dividing point and the midpoint of the effective driving path is selected as the power maintenance driving path.

5. The method for predicting energy consumption of a hybrid vehicle according to claim 1, characterized in that: The instantaneous state information includes instantaneous speed and instantaneous acceleration. The step of dividing the plurality of power-maintaining driving paths into a plurality of power intervals based on the instantaneous state information of the simulated hybrid vehicle includes: Acquiring the instantaneous speed and instantaneous acceleration of the simulated hybrid vehicle in a number of the power-maintaining driving paths; Acquiring the instantaneous power of the simulated hybrid electric vehicle through the instantaneous speed and the instantaneous acceleration; The instantaneous power is clustered to divide a plurality of the power-maintaining driving paths into a plurality of power intervals.

6. The method for predicting energy consumption of a hybrid vehicle according to claim 5, characterized in that: The calculation formula of the instantaneous power is: ， in, represents the instantaneous power at time t, represents the road load factor related to rolling resistance, represents the road load factor related to the mechanical rotational resistance, represents the road load factor related to air resistance, represents the instantaneous speed at time t, represents the instantaneous acceleration at time t, represents the mass of the simulated hybrid vehicle, represents the acceleration due to gravity, represents the road slope at time t.

7. The method for predicting energy consumption of a hybrid vehicle according to claim 1, characterized in that: The power range is -20kW / t~20kW / t, and the formula for obtaining the power consumption probability is: ， in, represents the probability of electricity consumption, Indicates the sample size of power interval y in driving speed interval x when the power is in use. Represents the total sample size in the driving speed interval x.

8. The method for predicting energy consumption of a hybrid vehicle according to claim 1, characterized in that: The step of determining the first energy consumption of the simulated hybrid vehicle in the plurality of power-maintaining driving paths based on the fuel consumption rate, the power consumption rate, the fuel consumption probability and the power consumption probability comprises: Dividing the plurality of power-maintaining driving paths into power-using paths and oil-using paths according to the oil-using probability and the power-using probability, and obtaining first distances and second distances corresponding to the power-using paths and the oil-using paths respectively; Obtaining a fuel consumption factor through the fuel consumption rate and the fuel consumption probability, and obtaining a power consumption factor through the power consumption rate and the power consumption probability; A first energy consumption is obtained based on the fuel consumption factor, the first distance, the electric consumption factor and the second distance.

9. The method for predicting energy consumption of a hybrid vehicle according to claim 8, characterized in that: The formula for obtaining the power consumption factor is: ， in, represents the power consumption factor, represents the average speed in the driving speed interval x, represents the probability of electricity consumption, represents the power consumption rate in power interval y; The formula for obtaining the first energy consumption is: ， in, represents the first energy consumption, represents the fuel consumption factor, represents the first distance, Indicates the second distance.

10. A hybrid electric vehicle power consumption prediction system, applied to the hybrid electric vehicle energy consumption prediction method according to any one of claims 1 to 9, characterized in that: The system comprises: An identification module, used for obtaining a plurality of simulated driving paths of a simulated hybrid electric vehicle, and dividing the plurality of simulated driving paths to obtain a plurality of power consumption driving paths and a plurality of power maintenance driving paths; a differentiation module, for dividing the plurality of power-maintaining driving paths into a plurality of power intervals based on the instantaneous state information of the simulated hybrid vehicle, and determining the probability of using electricity and the probability of using oil of the simulated hybrid vehicle in the plurality of power-maintaining driving paths through the power intervals; A first acquisition module is used to acquire the fuel consumption rate and the electricity consumption rate of the simulated hybrid vehicle in the power range, and determine the first energy consumption of the simulated hybrid vehicle in the plurality of power-maintaining driving paths based on the fuel consumption rate, the electricity consumption rate, the fuel consumption probability and the electricity consumption probability; The second acquisition module is used to acquire the second energy consumption of the simulated hybrid vehicle in the plurality of power consumption driving paths, and determine the total energy consumption through the first energy consumption and the second energy consumption to complete energy consumption prediction.

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