A path-induction-based pure electric vehicle micro energy consumption prediction method and system

Abstract

The application discloses a kind of pure electric vehicle microcosmic energy consumption prediction method and system based on path induction, the method includes initializing pure electric vehicle energy consumption prediction basic information;Define the current vehicle driving direction;Get the corrected vehicle basic energy consumption set and the residual energy consumption set of vehicle reaching each intersection;Judge vehicle residual power, if support vehicle to reach final destination intersection, then end calculation, output total energy consumption at this time;If residual power does not support vehicle to reach the nearest distance charging station also cannot reach final destination intersection, traverse the element in residual energy consumption set and lowest energy consumption set, find early warning intersection, carry out path optimization and recalculate energy consumption, based on current starting point and end point re-path planning, define content again to calculate.The application considers that the required energy consumption is calculated based on path induction premise after knowing road network information, improves prediction accuracy and provides a more accurate and effective prediction method for driver.

Description

Technical Field

[0001] This invention belongs to the field of pure electric vehicle energy consumption prediction technology, specifically relating to a method and system for predicting the micro-energy consumption of pure electric vehicles based on path-induced energy consumption. Background Technology

[0002] Energy consumption prediction for electric vehicles is crucial for improving vehicle performance and user experience. Accurate energy consumption prediction helps drivers plan routes more effectively, optimize driving styles, and schedule charging more efficiently, thereby significantly extending driving range and improving vehicle economy and driving comfort. Furthermore, energy consumption prediction has a critical impact on improving the performance of battery management systems, optimizing powertrain systems, and achieving overall sustainability for electric vehicles.

[0003] Traditional energy consumption prediction methods typically rely on statistical models, using historical driving data to predict future energy consumption levels. However, these methods often overlook the diversity and individualization of driving conditions, thus limiting their accuracy in practical applications. More importantly, traditional methods often fail to provide detailed explanations of why a particular stretch of road generates specific energy consumption, making them inadequate in providing driving strategy guidance. Summary of the Invention

[0004] The technical problem to be solved by this invention is to propose a method and system for predicting the micro-energy consumption of pure electric vehicles based on path guidance. Based on the real-time path guidance information obtained by the vehicle system, the method considers the influence of factors such as energy consumption of the in-vehicle system, energy recovery, weather effects, and range anxiety, thereby improving the accuracy and efficiency of vehicle energy consumption prediction.

[0005] To solve the above-mentioned technical problems, the present invention adopts the following technical solution:

[0006] A path-induced method for predicting the micro-energy consumption of pure electric vehicles includes the following steps:

[0007] S1. Initialize the basic information for predicting the energy consumption of pure electric vehicles, and define the basic information of the vehicle, the basic information of the road, the energy consumption factor information, and the driver information.

[0008] S2. Define the current vehicle's direction of travel.

[0009] S3. Based on the energy consumption factor information defined in step S1, the current vehicle driving direction in step S2, and the predetermined route indicated by the vehicle navigation system, initialize the vehicle energy consumption factor and obtain the basic energy consumption set of road segments and intersections, and the vehicle energy consumption correction coefficient set. Combined with the electric vehicle energy consumption prediction basic information in step S1, obtain the corrected vehicle basic energy consumption set.

[0010] S4. Based on the corrected vehicle baseline energy consumption set in step S3, calculate the remaining energy consumption set B for each intersection reached along the way. Remain B is the set of minimum energy consumption required to reach the nearest charging station. min And obtain the set of remaining energy consumption of vehicles arriving at each intersection.

[0011] S5. Based on the remaining energy consumption set and the minimum energy consumption set from step S4, determine the vehicle's remaining battery power. If the vehicle can reach its final destination intersection V at this point... D If the remaining battery power is insufficient to reach the nearest charging station or the final destination intersection V, then the calculation ends and proceeds to step S6; D Once the calculation is complete, iterate through the elements in the remaining energy consumption set and the minimum energy consumption set, find the warning intersection, optimize the path and recalculate the energy consumption. After the charging process is completed, replan the path based on the current starting point and ending point, update the intersection where the vehicle is currently located, and proceed to step S2.

[0012] S6. Output the total energy consumption as ∑Total at this point. c .

[0013] Furthermore, in step S1, initialization includes the following sub-steps:

[0014] S101. Initialize vehicle basic information: Based on the vehicle's energy system, obtain the vehicle's initial remaining battery power (SOC), denoted as SOC. O The front cross-sectional area of ​​the vehicle is F, and the vehicle weight is m.

[0015] S102. Initialize road information: Obtain the road network G = (V, A) based on the real-time road network data provided by the vehicle navigation system.

[0016] Where V represents the set of intersections, V = {V1, V2, V3, ... V} q …},V q Let A represent the q-th intersection; A represents the set of road segments between intersections, A = {a...} ij =(V i V j )|i,j=1,2,3…},a ij Indicates intersection V i and V j The section of road between, and a ij ∈{T,H,U}, where T represents urban roads, H represents highways, and U represents suburban roads.

[0017] Define the passage through road segment a ij The required time is and dij Indicates road segment a ij Length, v ij Indicates road segment a ij The maximum speed limit; if there is no road segment between the two intersections, then

[0018] Define through intersection V q The required time is and d q Indicates cross V q The length of the opening, v q Indicates intersection V q The maximum speed limit.

[0019] S103. Define the vehicle energy consumption factor based on the vehicle navigation system and map information:

[0020] Define the energy consumption factor of a road segment, including road segment a. ij average slope grade ij Section a ij Average air density Section a ij Average drag coefficient Section a ij Expected wind speed When the vehicle is traveling against the wind on the contrary

[0021] The acceleration due to gravity, g, is taken as 9.81 m / s². 2 Average road resistance C R .

[0022] Define the intersection energy consumption factor, including the energy consumption of vehicles at the intersection (V). q The expected average velocity when in motion state k Expected average acceleration When the vehicle is at a constant speed When the vehicle is braking Intersection V q average slope grade q Intersection V q average air density Intersection V q average drag coefficient The vehicle was driving at the intersection V q Expected wind speed When the vehicle is traveling against the wind on the contrary

[0023] The time ratios of the vehicle being in acceleration, braking, and constant speed states are ε1, ε2, and ε3, respectively.

[0024] S104. Initialize driver information: Considering driver range anxiety, set the energy consumption warning value SOC. * SOC * ≥0.

[0025] Furthermore, in step S2, defining the current vehicle's driving direction includes the following:

[0026] Let the current intersection where the driver is located be the Oth intersection V. O The destination intersection is the Dth intersection, V. D The direction from the starting point to the destination is the vehicle's direction of travel.

[0027] Furthermore, in step S3, the basic energy consumption of the road segment is defined as including the following:

[0028] S301. Based on step S2 and the information from the vehicle navigation system, obtain the predetermined route for travel, and simultaneously initialize the vehicle energy consumption factor in step S103.

[0029] S302. Define the basic energy consumption set of road segments, with the specific expression as follows:

[0030]

[0031] Among them, B a Represents the basic energy consumption set of the road segment. This indicates that the vehicle is passing through road segment a. ij The required basic energy consumption.

[0032] Based on the road segment energy consumption factor defined in step S103 The expression is:

[0033]

[0034] S303. Define the basic energy consumption set of the intersection, with the specific expression as follows:

[0035]

[0036] Among them, B V Indicates the basic energy consumption of the intersection. This indicates that the vehicle is passing through intersection V. q The required basic energy consumption.

[0037] Based on the intersection energy consumption factor defined in step S103 The expression is:

[0038]

[0039] S304. Define the set of energy consumption correction coefficients for vehicles, with the specific expression as follows:

[0040] E={e ij =(v i ,v j |i,j=1,2,3,…,Q};

[0041] Where E represents the set of energy consumption coefficients for vehicles; e ij This indicates that the vehicle has traveled to road segment a as indicated by the navigation module. ij The corresponding energy consumption coefficient, and e ij = {S,R,W}, where S represents the set of energy consumption coefficients of the vehicle's internal systems, R represents the set of energy recovery coefficients of the vehicle, and W represents the set of energy consumption impact coefficients of the vehicle's external weather.

[0042]

[0043]

[0044]

[0045] in, and These respectively indicate that the vehicle has traveled to road segment a as indicated by the navigation module. ij Intersection V q The average total power of the in-vehicle subsystems at that time; and These respectively indicate that the vehicle has traveled to road segment a as indicated by the navigation module. ij Intersection V q The energy recovery coefficient when the vehicle's energy recovery is not activated. and These represent the vehicle's position on road segment a. ij Intersection V q The weather impact coefficient corresponding to the time.

[0046] S305. Considering the energy consumption of the vehicle's internal systems, vehicle energy recovery, and the impact of external weather, revise the vehicle-road segment basic energy consumption in step S302. for:

[0047]

[0048] Correction step S303: Basic energy consumption of vehicle intersection for:

[0049]

[0050] Furthermore, in step S4, the arrival time V of the vehicle at the intersection is calculated. q Time-remaining energy consumption set B Remain The specific formula is as follows:

[0051]

[0052] Among them, B Remain This indicates that the vehicle has arrived at intersection V. q The set of remaining energy consumption at that time; This indicates that the vehicle has arrived at intersection V. q The remaining battery power of the vehicle at that time, and

[0053] The shortest path algorithm is used to calculate the shortest path from each intersection to the nearest charging station and the energy consumption required for that path. The specific formula is as follows:

[0054]

[0055] Among them, B min This represents the set of energy required for the path. Indicates that the vehicle is at intersection V q The amount of electricity required to reach the nearest charging station.

[0056] Furthermore, in step S5, determining the vehicle's remaining battery power includes the following:

[0057] Traversing B Remain and B min All elements in: when When the calculation ends, the vehicle cannot reach the nearest charging station or its destination; when At that time, the vehicle's energy consumption was Then proceed to step S6; when and When the vehicle is traveling to intersection V q An automatic alarm is triggered, and the starting and ending points are reset. The starting point is V. q The destination is The corresponding charging station consumes the following energy: After the charging process is completed, the route planning is re-performed, the current charging station of the vehicle is updated to the current intersection, and then proceed to step S2.

[0058] Furthermore, in step S6, the total energy consumption at this point is output as follows:

[0059] The total energy consumption of the vehicle at this point is calculated as the sum of the energy consumption of all stages, ∑Total. c=Total1+Total2+Total3…+Total c .

[0060] Furthermore, this invention also proposes a path-induced micro-energy consumption prediction system for pure electric vehicles, including...

[0061] The initialization information module is used to initialize the basic information for predicting the energy consumption of pure electric vehicles, and to define basic vehicle information, basic road information, energy consumption factor information, and driver information.

[0062] The vehicle driving direction definition module is used to set the current intersection where the driver is located as the Oth intersection V. O The destination intersection is the Dth intersection, V. D The direction from the starting point to the destination is the vehicle's direction of travel.

[0063] The vehicle basic energy consumption set correction module is used to initialize vehicle energy consumption factors and obtain the basic energy consumption set of road segments and intersections and the vehicle energy consumption correction coefficient set based on the predetermined route indicated by the vehicle navigation system, the energy consumption factor information defined in the initialization information module, and the current vehicle driving direction defined in the vehicle driving direction definition module. Combined with the electric vehicle energy consumption prediction basic information in the initialization information module, the module obtains the corrected vehicle basic energy consumption set.

[0064] The vehicle remaining energy consumption set acquisition module is used to calculate the remaining energy consumption set at each intersection and the minimum energy consumption set required to reach the nearest charging station based on the corrected vehicle basic energy consumption set in the corrected vehicle basic energy consumption set module, and to obtain the remaining energy consumption set of the vehicle at each intersection.

[0065] The vehicle remaining battery power determination module is used to determine the vehicle's remaining battery power based on the remaining energy consumption set and the minimum energy consumption set obtained from the vehicle remaining energy consumption set acquisition module. If the remaining battery power supports the vehicle to reach the final destination intersection, the calculation ends and the total energy consumption is output. If the remaining battery power does not support the vehicle to reach the final destination intersection and the nearest charging station cannot be reached, the calculation ends, and the module iterates through the elements in the remaining energy consumption set and the minimum energy consumption set to find the warning intersection, optimize the path, and recalculate the energy consumption. After the charging process is completed, the module re-plans the path based on the current starting point and ending point, updates the intersection where the vehicle is currently located, and then proceeds to the vehicle driving direction definition module.

[0066] Furthermore, the present invention also proposes an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the path-induced pure electric vehicle micro-energy consumption prediction method described above.

[0067] Furthermore, the present invention also proposes a computer-readable storage medium storing a computer program, which is executed by a processor to perform the path-induced pure electric vehicle micro-energy consumption prediction method.

[0068] The present invention adopts the above technical solution, and its significant technical effects compared with the prior art are as follows:

[0069] 1. Based on the data of the vehicle route guidance subsystem, this invention integrates driver information, basic road information such as wind speed and slope, basic vehicle information, and also integrates the vehicle system, external weather, and energy consumption recovery factors. It can predict the energy consumption required for the trip based on real-time energy consumption information. By integrating real-time energy consumption information into the route guidance process, it improves the accuracy of energy consumption prediction and enhances the efficiency of driver travel.

[0070] 2. This invention provides a more reliable energy consumption estimate by incorporating a range anxiety factor into the energy consumption prediction process and performing route planning in advance, thereby significantly reducing the driver's anxiety and further improving the confidence and satisfaction of using electric vehicles.

[0071] 3. This invention predicts energy consumption based on relevant real-time energy consumption data, such as road condition information, weather information, and driving behavior. This increases the real-time nature and accuracy of the prediction, enabling drivers to make timely decisions based on the energy consumption prediction results to optimize energy management, extend driving range, and more accurately reflect the actual energy consumption of the vehicle, effectively reducing energy consumption prediction errors.

[0072] 4. This invention integrates an intelligent alarm mechanism with a charging station route planning strategy, based on the quantification of driver range anxiety. When the vehicle cannot reach the nearest charging station or destination, an automatic alarm is triggered to remind the driver to take necessary actions. This helps enhance driving safety and controllability. Furthermore, by calculating the energy consumption required for the vehicle to reach the nearest charging station and combining it with route information, this method can provide the driver with optimal charging station selection and route planning to ensure that charging needs are met and improve driving convenience. Attached Figure Description

[0073] Figure 1 This is a flowchart of the method of the present invention.

[0074] Figure 2 This is a schematic diagram of the initial departure path of the present invention.

[0075] Figure 3 This is a schematic diagram of the initial starting path and the charging stations with the lowest energy consumption along the way in this invention.

[0076] Figure 4This is a schematic diagram of the route from the intermediate intersection to the charging station with the lowest energy consumption.

[0077] Figure 5 This is a schematic diagram of the starting route after the charging process is completed and the charging stations with the lowest energy consumption along the way.

[0078] Figure 6 A graph showing the relationship between quantified range anxiety and vehicle available energy consumption. Detailed Implementation

[0079] The present invention will now be described in detail with reference to the accompanying drawings and specific embodiments. These embodiments are based on the technical solution of the present invention and provide detailed implementation methods and specific operating procedures. However, the scope of protection of the present invention is not limited to the following embodiments.

[0080] This invention proposes a method for predicting the micro-energy consumption of pure electric vehicles based on path-induced energy transfer, such as... Figure 1 As shown, it includes the following steps:

[0081] S1. Initialize the basic information for pure electric vehicle energy consumption prediction, defining vehicle basic information, road basic information, energy consumption factor information, and driver information. Specific details are as follows:

[0082] S101. Initialize vehicle basic information: Based on the vehicle's energy system, obtain the vehicle's initial remaining battery power (SOC), denoted as SOC. O The front cross-sectional area of ​​the vehicle is F, and the vehicle weight is m.

[0083] In this embodiment, SOC O =80, F=1.5m 2 m = 2000 kg.

[0084] S102. Initialize road information: Obtain the road network G = (V, A) based on the real-time road network data provided by the vehicle navigation system.

[0085] Where V represents the set of intersections, V = {V1, V2, V3, ... V} q …},V q Let A represent the q-th intersection; A represents the set of road segments between intersections, A = {a...} ij =(V i V j )|i,j=1,2,3…},a ij Indicates intersection V i and V j The section of road between, and a ij ∈{T,H,U}, where T represents urban roads, H represents highways, and U represents suburban roads.

[0086] Define the passage through road segment a ij The required time is and d ij Indicates road segment a ij Length, v ij Indicates road segment a ij The maximum speed limit; if there is no road segment between the two intersections, then

[0087] Define through intersection V q The required time is and d q Indicates cross V q The length of the opening, v q Indicates intersection V q The maximum speed limit.

[0088] S103. Define the vehicle energy consumption factor based on the vehicle navigation system and map information:

[0089] Define the energy consumption factor of a road segment, including road segment a. ij average slope grade ij Section a ij Average air density Section a ij Average drag coefficient Section a ij Expected wind speed When the vehicle is traveling against the wind on the contrary

[0090] The acceleration due to gravity, g, is taken as 9.81 m / s². 2 Average road resistance C R .

[0091] Define the intersection energy consumption factor, including the energy consumption of vehicles at the intersection (V). q The expected average velocity when in motion state k Expected average acceleration When the vehicle is at a constant speed When the vehicle is braking Intersection V q average slope grade q Intersection V q average air density Intersection V q average drag coefficient The vehicle was driving at the intersection V q Expected wind speed When the vehicle is traveling against the wind on the contrary

[0092] The time ratios of the vehicle being in acceleration, braking, and constant speed states are ε1, ε2, and ε3, respectively.

[0093] S104. Initialize driver information: Considering driver range anxiety, set the energy consumption warning value SOC. * In this embodiment, SOC * =20.

[0094] S2. Define the current vehicle's direction of travel. The specific details are as follows:

[0095] like Figure 2 As shown, the driver is currently at intersection V, which is the Oth intersection. O The destination intersection is the Dth intersection, V. D The direction from the starting point to the destination is the vehicle's driving direction. In the diagram, circles represent intersections, and the line segments between the circles represent roads that are available for travel.

[0096] S3. Based on the energy consumption factor information defined in step S1, the current vehicle driving direction in step S2, and the predetermined route indicated by the vehicle navigation system, initialize the vehicle energy consumption factor and obtain the basic energy consumption set of road segments and intersections, and the vehicle energy consumption correction coefficient set. Combined with the basic information on electric vehicle energy consumption prediction in step S1, obtain the corrected basic vehicle energy consumption set, specifically:

[0097] S301. Based on step S2 and the information from the vehicle navigation system, the predetermined route for travel is obtained. In this embodiment, the driver's travel route is as follows: Figure 2 As shown in the image, the intersection where the driver is currently located is V. O Through the intersection V = {V O V1, V2…V6, V7, V D} Arrive at the destination intersection V D Step S103 initializes the vehicle energy consumption factor.

[0098] S302, In this embodiment, the road segment set is A = {a} O1 ,a 12 ,a 23 …a 56 ,a 67 ,a 7D Based on this definition, the basic energy consumption set of the road segment is specifically expressed as B. a ={12,8,7,16,16,4,5,6}.

[0099] Among them, B a This represents the set of basic energy consumption for a road segment.

[0100] Based on the road segment energy consumption factor defined in step S103 The expression is:

[0101]

[0102] S303, In this embodiment, the set of intersections is V = {V} O V1, V2…V6, V7, V D Based on this definition, the basic energy consumption set of the intersection is specifically expressed as B. V ={0.5,0.4,0.2,0.6,0.2,0.3,0.1,0.1,0.2}.

[0103] Among them, B V This indicates the basic energy consumption of the intersection.

[0104] Based on the intersection energy consumption factor defined in step S103 The expression is:

[0105]

[0106] S304. Define the set of energy consumption correction coefficients for vehicles, with the specific expression as follows:

[0107] E={e ij =(v i ,v j |i,j=1,2,3,…,Q};

[0108] Where E represents the set of energy consumption coefficients for vehicles; e ij This indicates that the vehicle has traveled to road segment a as indicated by the navigation module. ij The corresponding energy consumption coefficient, and e ij ={S,R,W}, where S represents the set of energy consumption coefficients of the vehicle's internal system, R represents the set of energy recovery coefficients of the vehicle, and W represents the set of energy consumption impact coefficients of the vehicle's external weather.

[0109]

[0110]

[0111]

[0112] in, and These respectively indicate that the vehicle has traveled to road segment a as indicated by the navigation module. ij Intersection V q The average total power of the in-vehicle subsystems at that time; and These respectively indicate that the vehicle has traveled to road segment a as indicated by the navigation module. ij Intersection V q The energy recovery coefficient when the vehicle's energy recovery is not activated. and These represent the vehicle's position on road segment a. ij Intersection V q The weather impact coefficient corresponding to the time.

[0113] S305. Considering the energy consumption of the vehicle's internal systems, vehicle energy recovery, and the impact of external weather, revise the vehicle-road segment basic energy consumption in step S302. for:

[0114]

[0115] Correction step S303: Basic energy consumption of vehicle intersection for:

[0116]

[0117] The road segment set A = {a} in step S302 is corrected. O1 ,a 12 ,a 23 …a 56 ,a 67 ,a 7D At this point, the corrected energy consumption set B for the road segment is... a ={9.6,9.8,4.9,14.9,14.9,4.8,4.9,4.9}.

[0118] The set of intersections {V} in step S303 is corrected. O V1, V2…V6, V7, V D At this point, the corrected intersection energy consumption set B V ={0.4,0.2,0.1,0.1,0.1,0.2,0.1,0.1,0.2}.

[0119] S4. Based on the corrected vehicle baseline energy consumption set in step S3, calculate the remaining energy consumption set B for each intersection reached along the way. Remain B is the set of minimum energy consumption required to reach the nearest charging station. min And obtain the remaining energy consumption set of the vehicle upon reaching each intersection, specifically:

[0120] Calculate the vehicle arrival V at the intersection q Time-remaining energy consumption set B Remain The specific formula is as follows:

[0121]

[0122] Among them, B Remain This indicates that the vehicle has arrived at intersection V. q The set of remaining energy consumption at that time; This indicates that the vehicle has arrived at intersection V. q The remaining battery power of the vehicle at that time, and like Figure 3 As shown, in this embodiment, the vehicle starts from intersection V. O Depart, drive to intersection V D S O To S D These represent the distance V from the intersection. O To V D The location of the nearest charging station, and the remaining energy consumption set B at this time. Remain ={80,70,60,55,40,25,20,15,10}.

[0123] The shortest path algorithm is used to calculate the shortest path from each intersection to the nearest charging station and the energy consumption required for that path. The specific formula is as follows:

[0124]

[0125] Among them, B min This represents the set of energy required for the path. Indicates that the vehicle is at intersection V q The amount of electricity required to reach the nearest charging station. The set of minimum energy consumption B required to reach the nearest charging station from each intersection. min ={8,5,10,5,12,8,10,12,10}.

[0126] S5. Based on the remaining energy consumption set and the minimum energy consumption set from step S4, determine the vehicle's remaining battery power. If the vehicle can reach its final destination intersection V at this point... D If the remaining battery power is insufficient to reach the nearest charging station or the final destination intersection V, then the calculation ends and proceeds to step S6; D Once the calculation is complete, iterate through the elements in the remaining energy consumption set and the minimum energy consumption set, find the warning intersection, optimize the path and recalculate the energy consumption. After the charging process is completed, replan the path based on the current starting point and ending point, update the intersection where the vehicle is currently located, and proceed to step S2.

[0127] Determining the vehicle's remaining battery power includes the following:

[0128] In this embodiment, when the vehicle travels to intersection V4, When the vehicle reaches intersection V5, This will trigger an automatic alarm at intersection V4, resetting the starting and ending points. Figure 4 As shown, the starting point is V4, and the destination is the charging station S corresponding to V4. 4 The energy consumed by the vehicle at this time is

[0129] S6. Output the total energy consumption as ∑Total at this point. c .

[0130] like Figure 5 As shown, after the charging process is complete, the vehicle's remaining battery power SOC is updated to 80%, and the total energy consumption at this point is output. i In this example, the updated set of remaining energy consumption B Remain ={80,65,60,55,50}, the set of minimum energy consumption B required to get from each intersection to the nearest charging station. min ={12,8,10,12,10};

[0131] ∑Total c =52+(80-50)=82.

[0132] This invention also proposes a path-guided micro-energy consumption prediction system for pure electric vehicles, including an initialization information module, a vehicle driving direction definition module, a module for correcting the vehicle's basic energy consumption set, a module for obtaining the vehicle's remaining energy consumption set, a module for determining the vehicle's remaining battery power, and a computer program that can run on a processor. It should be noted that each module in the above system corresponds to a specific step of the method provided in this invention embodiment, possessing the corresponding functional modules and beneficial effects for executing the method. Technical details not described in detail in this embodiment can be found in the method provided in this invention embodiment.

[0133] This invention also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. It should be noted that when the processor in the above-mentioned electronic device executes the computer program, it corresponds to the specific steps of the method provided in this invention, possessing the corresponding functional modules and beneficial effects for executing the method. Technical details not described in detail in this embodiment can be found in the method provided in this invention.

[0134] This invention also proposes a computer-readable storage medium storing a computer program. It should be noted that when the computer program in the aforementioned computer-readable storage medium is executed by a processor, it corresponds to the specific steps of the method provided in this invention, possessing the corresponding functional modules and beneficial effects for executing the method. Technical details not described in detail in this embodiment can be found in the method provided in this invention.

[0135] The preferred embodiments of the present invention have been described in detail above. It should be understood that those skilled in the art can make numerous modifications and variations based on the concept of the present invention without creative effort. Therefore, all technical solutions that can be obtained by those skilled in the art based on the concept of the present invention through logical analysis, reasoning, or limited experimentation on the basis of existing technology should be within the scope of protection defined by the claims.

Claims

1. A method for predicting the micro-energy consumption of pure electric vehicles based on path-induced energy consumption, characterized in that, include S1. Initialize the basic information for predicting the energy consumption of pure electric vehicles, and define the basic information of the vehicle, the basic information of the road, the energy consumption factor information and the driver information; S2. Define the current vehicle direction; S3. Based on the predetermined route indicated by the vehicle navigation system, the energy consumption factor information defined in step S1, and the current vehicle driving direction defined in step S2, initialize the vehicle energy consumption factor and obtain the basic energy consumption set of road segments and intersections, and the vehicle energy consumption correction coefficient set. Combined with the basic information on electric vehicle energy consumption prediction in step S1, obtain the corrected basic vehicle energy consumption set; specifically: S301. Based on step S2 and the information from the vehicle navigation system, obtain the predetermined route for travel, and simultaneously initialize the vehicle energy consumption factor in step S103. S302. Define the basic energy consumption set of road segments, with the specific expression as follows: ； ； in, Represents the basic energy consumption set of the road segment. Indicates that the vehicle is passing through the section of road. Basic energy consumption required; S303. Define the basic energy consumption set of the intersection, with the specific expression as follows: ； ； in, Indicates the basic energy consumption of the intersection. Indicates that the vehicle is passing through the intersection Basic energy consumption required; S304. Define the set of energy consumption correction coefficients for vehicles, with the specific expression as follows: ； in, This represents the set of energy consumption coefficients for vehicles. This indicates that the vehicle has traveled to the section of road indicated by the navigation module. The corresponding energy consumption coefficient, and , S This represents the set of energy consumption coefficients for the vehicle's internal systems. R This represents the set of vehicle energy recovery coefficients. W This represents the set of energy consumption impact coefficients related to external weather conditions affecting vehicles. ； ； ； in, and These respectively indicate the route the vehicle has traveled to as indicated by the navigation module. Intersection The average total power of the in-vehicle subsystems at that time; and These respectively indicate the route the vehicle has traveled to as indicated by the navigation module. Intersection The energy recovery coefficient when the vehicle's energy recovery is not activated. ; and These respectively indicate the vehicle's location on the road. Intersection The corresponding weather impact coefficient; S305, Correction of vehicle segment basic energy consumption in step S302 The specific formula is as follows: ； Correction step S303: Basic energy consumption at vehicle intersections The specific formula is as follows: ； S4. Based on the corrected vehicle basic energy consumption set in step S3, calculate the remaining energy consumption set for reaching each intersection along the way and the minimum energy consumption set required to reach the nearest charging station, and obtain the remaining energy consumption set for reaching each intersection. S5. Based on the remaining energy consumption set and the minimum energy consumption set in step S4, determine the vehicle's remaining battery power. If the vehicle can reach the final destination intersection at this time, the calculation ends and proceeds to step S6. If the remaining battery power does not support the vehicle to reach the final destination intersection and cannot reach the nearest charging station, the calculation ends, and the elements in the remaining energy consumption set and the minimum energy consumption set are traversed to find the warning intersection, perform path optimization and recalculate the energy consumption. After the charging process is completed, the path is replanned based on the current starting point and ending point, the intersection where the vehicle is currently located is updated, and the process proceeds to step S2. S6, Output: Total energy consumption at this time is .

2. The method for predicting the micro-energy consumption of pure electric vehicles based on path-induced energy consumption according to claim 1, characterized in that, In step S1, initialization includes the following sub-steps: S101. Based on the vehicle's onboard energy system, obtain the vehicle's initial remaining battery power (SOC), denoted as... The front cross-sectional area of ​​the vehicle is F, and the weight of the vehicle body is m; S102. Obtain the road network based on real-time road network data provided by the vehicle navigation system. ; Where V represents the set of intersections, , Let A represent the q-th intersection; let A represent the set of road segments between the intersections. , Indicates an intersection and The section of road between, and Where T represents urban roads, H represents highways, and U represents suburban roads; Define the road segment The time required is ,and , Indicates road segment Length, Indicates road segment The maximum speed limit; if there is no road segment between the two intersections, then ; Define through the intersection The time required is ,and , Indicates an intersection Length, Indicates an intersection Maximum speed limit; S103. Define the vehicle energy consumption factor based on the vehicle navigation system and map information: Define the energy consumption factor of road segments, including road segments Average slope Average air density Average drag coefficient Expected wind speed When the vehicle is traveling against the wind ,on the contrary ; gravitational acceleration Take 9.81 The average road resistance is ; Define the intersection energy consumption factor, including the energy consumption of vehicles at the intersection. In motion Expected average speed at time Expected average acceleration When the vehicle is at a constant speed, When the vehicle is braking, Intersection average slope Intersection average air density Intersection average drag coefficient Vehicles are traveling at road intersections Expected wind speed When the vehicle is traveling against the wind ,on the contrary ; The ratios of time the vehicle is in acceleration, braking, and constant speed states are respectively , ; S104. Set energy consumption warning values ​​based on drivers' range anxiety. , .

3. The method for predicting the micro-energy consumption of pure electric vehicles based on path-induced energy consumption according to claim 2, characterized in that, In step S2, defining the current vehicle's driving direction includes the following: Set the current intersection where the driver is located as the Oth intersection. The destination intersection is the Dth intersection. The direction from the starting point to the destination is the vehicle's direction of travel.

4. The method for predicting the micro-energy consumption of pure electric vehicles based on path-induced energy consumption according to claim 3, characterized in that, In step S4, the arrival time of the vehicle at the intersection is calculated. The set of remaining energy consumption at time, the specific formula is: ； in, Indicates that the vehicle has arrived at the intersection. The set of remaining energy consumption at that time; Indicates that the vehicle has arrived at the intersection. The remaining battery power of the vehicle at that time, and ; The shortest path algorithm is used to calculate the shortest path from each intersection to the nearest charging station and the set of minimum energy consumption required for that path. The specific formula is as follows: ； in, This represents the set of minimum energy required for the path. Indicates that the vehicle is at the intersection The amount of electricity required to reach the nearest charging station.

5. The method for predicting the micro-energy consumption of pure electric vehicles based on path-induced energy consumption according to claim 4, characterized in that, In step S5, determining the vehicle's remaining battery power includes the following: Iterate through all elements in the remaining energy set and the minimum energy set: when When the calculation ends, the vehicle cannot reach the nearest charging station or its destination; when At that time, the vehicle's energy consumption was And proceed to step S6; when and When the vehicle is approaching the intersection An automatic alarm will be triggered, and the starting and ending points will be reset. The starting point is... The destination is The corresponding charging station consumes the following energy: After the charging process is completed, the route planning is re-performed, the current charging station of the vehicle is updated to the current intersection, and then the process proceeds to step S2.

6. The method for predicting the micro-energy consumption of pure electric vehicles based on path-induced energy consumption according to claim 1, characterized in that, In step S6, the total energy consumption at this point is output, including the following: The total energy consumption of the vehicle at this point is the sum of the energy consumption at all stages, i.e. .

7. A path-guided micro-energy consumption prediction system for pure electric vehicles, characterized in that, include The initialization information module is used to initialize the basic information for energy consumption prediction of pure electric vehicles, and to define basic vehicle information, basic road information, energy consumption factor information and driver information; The vehicle driving direction definition module is used to set the current intersection where the driver is located as the Oth intersection. The destination intersection is the Dth intersection. The direction from the starting point to the destination is the vehicle's direction of travel. The vehicle basic energy consumption set correction module is used to initialize the vehicle energy consumption factor and obtain the basic energy consumption set of road segments and intersections and the vehicle energy consumption correction coefficient set based on the predetermined route indicated by the vehicle navigation system, the energy consumption factor information defined in the initialization information module, and the current vehicle driving direction defined in the vehicle driving direction definition module. Combined with the electric vehicle energy consumption prediction basic information in the initialization information module, the corrected vehicle basic energy consumption set is obtained. Specifically: Step 1: Based on the information from the vehicle navigation system, obtain the predetermined route for travel and simultaneously initialize the vehicle energy consumption factor; Step 2: Define the basic energy consumption set of the road segment, specifically expressed as: ； ； in, Represents the basic energy consumption set of the road segment. Indicates that the vehicle is passing through the section of road. Basic energy consumption required; Step 3: Define the basic energy consumption set of the intersection, the specific expression is: ； ； in, Indicates the basic energy consumption of the intersection. Indicates that the vehicle is passing through the intersection Basic energy consumption required; Step 4: Define the set of energy consumption correction coefficients for the vehicle, with the following specific expression: ； in, This represents the set of energy consumption coefficients for vehicles. This indicates that the vehicle has traveled to the section of road indicated by the navigation module. The corresponding energy consumption coefficient, and , S This represents the set of energy consumption coefficients for the vehicle's internal systems. R This represents the set of vehicle energy recovery coefficients. W This represents the set of energy consumption impact coefficients related to external weather conditions affecting vehicles. ， ， ， in, and These respectively indicate the route the vehicle has traveled to as indicated by the navigation module. Intersection The average total power of the in-vehicle subsystems at that time; and These respectively indicate the route the vehicle has traveled to as indicated by the navigation module. Intersection The energy recovery coefficient when the vehicle's energy recovery is not activated. ; and These respectively indicate when the vehicle is traveling to a road segment and an intersection. The corresponding weather impact coefficient; Step 5: Correct the vehicle road segment basic energy consumption in Step 2. The specific formula is as follows: ； Correction step S303: Basic energy consumption at vehicle intersections The specific formula is as follows: ； The vehicle remaining energy consumption set acquisition module is used to calculate the remaining energy consumption set at each intersection and the minimum energy consumption set required to reach the nearest charging station based on the corrected vehicle basic energy consumption set in the corrected vehicle basic energy consumption set module, and to obtain the remaining energy consumption set of the vehicle at each intersection. The vehicle remaining battery power determination module is used to determine the vehicle's remaining battery power based on the remaining energy consumption set and the minimum energy consumption set obtained from the vehicle remaining energy consumption set acquisition module. If the remaining battery power supports the vehicle to reach the final destination intersection, the calculation ends and the total energy consumption is output. If the remaining battery power does not support the vehicle to reach the final destination intersection and the nearest charging station cannot be reached, the calculation ends, and the module iterates through the elements in the remaining energy consumption set and the minimum energy consumption set to find the warning intersection, optimize the path, and recalculate the energy consumption. After the charging process is completed, the module re-plans the path based on the current starting point and ending point, updates the intersection where the vehicle is currently located, and then proceeds to the vehicle driving direction definition module.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 6.

9. A computer-readable storage medium storing a computer program, characterized in that, The computer program is executed by the processor to perform the method of any one of claims 1 to 6.

Images