Remaining mileage prediction method, system, computer device and readable storage medium

Abstract

The present invention provides a remaining mileage prediction method, system, computer device, and readable storage medium, wherein the remaining mileage prediction method includes: obtaining a future driving route between a current location and a destination location; segmenting the future driving route and obtaining road condition information and temperature change information for the future driving route; calculating a driving habit score based on the driver's operation of the accelerator and brake pedals within a historical unit time; predicting the total energy consumption and unit mileage energy consumption of the future driving route based on the driving habit score, the road condition information, and temperature change information of the future driving route; and calculating and predicting the remaining mileage of the vehicle upon arrival at the destination location based on the total energy consumption and unit mileage energy consumption. Through this application, the estimated remaining mileage is not only calculated with low error and high accuracy, but also avoids the problem of users misjudging future travel plans, which may cause the vehicle to break down halfway, thereby reducing users' mileage anxiety during long-distance travel.

Description

Technical Field

[0001] The present invention relates to the field of electric vehicles, and in particular to a remaining mileage prediction method, system, computer equipment and readable storage medium. Background Art

[0002] The national EV863-standard regulations stipulate that the cruising range of an electric vehicle refers to the mileage traveled by the electric vehicle from the time the power battery is fully charged to the end of the test specified by the standard, and the remaining mileage refers to the mileage that the car can still travel under the current circumstances by maintaining the existing driving method. The accuracy of the remaining mileage calculation is one of the most concerned issues for electric vehicles, and this issue directly leads to users' mileage anxiety.

[0003] Most existing methods for estimating the remaining mileage of electric vehicles are based on historical power consumption and available battery power, or are converted based on standard operating range and battery SOC (state of charge). However, during the actual use of electric vehicles, road conditions and environmental conditions are constantly changing, and the battery's dischargeable capacity is affected by recovery temperature. The energy consumed by the entire vehicle during driving is also affected by road conditions, ambient temperature, and driving habits. The above methods for estimating the remaining mileage cannot comprehensively take these factors into account, resulting in large errors in the calculated range, which can cause users to misjudge future travel plans and cause the vehicle to break down halfway. Summary of the Invention

[0004] Based on this, the purpose of the present invention is to provide a remaining mileage prediction method, system, computer device and readable storage medium to solve the problem that the methods used to estimate the remaining mileage in the prior art cannot comprehensively consider factors such as road conditions, ambient temperature and driving habits, resulting in large errors in the calculated driving range, which in turn causes users to misjudge future travel plans and cause the vehicle to break down halfway.

[0005] To achieve the above object, the present invention provides a remaining mileage prediction method, comprising:

[0006] Get the future driving route between the current location and the destination location;

[0007] Divide the future driving route into segments and obtain road condition information and temperature change information for the future driving route, wherein the road condition information includes total driving time, total driving mileage, and average speed, driving time, and driving mileage of each segment;

[0008] Calculate the driving habit score based on the driver's operation of the accelerator and brake pedals in historical unit time;

[0009] Predicting the total energy consumption and energy consumption per unit mileage of the future driving route based on the driving habit score, road condition information of the future driving route, and temperature change information;

[0010] The remaining mileage of the vehicle when arriving at the destination location is predicted based on the total energy consumption of the future driving route and the energy consumption per unit mileage.

[0011] Preferably, before the step of calculating and predicting the remaining mileage of the vehicle when it reaches the end position, the method further includes:

[0012] Correcting the current remaining battery energy according to the road condition information and the temperature change information;

[0013] The remaining energy of the vehicle when arriving at the destination is calculated based on the corrected current remaining energy of the battery.

[0014] Preferably, the step of calculating the driving habit score specifically includes:

[0015] The acceleration driving habit score and the deceleration driving habit score are calculated based on the driver's operation of the accelerator and brake pedals in the historical unit time.

[0016] Calculating a driving habit score according to the acceleration driving habit score and the deceleration driving habit score;

[0017] The driving habit score calculation formula is as follows:

[0018] Score now =(Score acc +Score brk ) / 2

[0019] Among them, Score now Represents the driving habit score, Score add Represents the acceleration driving habit score, Score brk Represents the deceleration driving habit score.

[0020] Preferably, the step of predicting the total energy consumption of the future driving route specifically includes:

[0021] Predict the energy consumption of each high-voltage accessory in the vehicle, including the drive motor, DC-DC, air conditioning compressor, and PTC;

[0022] The total energy consumption of the future driving route is predicted based on the energy consumption of each of the high-voltage accessories.

[0023] Preferably, the step of correcting the current remaining battery energy specifically includes:

[0024] Predicting an average discharge power of the battery based on the predicted total energy consumption and total driving time in the future driving route;

[0025] Based on the historical battery temperature change rate over time, predict the battery's future temperature change and predict the battery temperature;

[0026] Calculating a correction coefficient for the current remaining battery energy based on the predicted average discharge power and the battery temperature;

[0027] The current battery remaining energy is corrected according to the correction coefficient, and the corrected current battery remaining energy is calculated.

[0028] Preferably, the calculation formula for the remaining energy of the vehicle when reaching the terminal position is as follows:

[0029] SOE left =SOE Futrue -(W mot +W DCDC +W AC +W PTC )

[0030] Among them, SOE left Represents the remaining energy of the vehicle when it reaches the destination, SOE Futrue Represents the corrected current remaining battery energy, W mot Represents the energy consumption of the drive motor, W DCDC Represents the energy consumption of the DCDC, W AC Represents the energy consumption of the air compressor, W PIC Represents the energy consumption of the passenger compartment and battery pack PTC.

[0031] The calculation formula for the remaining mileage of the vehicle when it reaches the destination is as follows:

[0032] S left =SOE left / [(W mot +W DCDC +W AC +W PTC ) / s sum ]

[0033] Among them, S left Represents the remaining mileage of the vehicle when it reaches the destination, S sum is the total mileage of the future driving route.

[0034] Preferably, after the step of calculating and predicting the remaining mileage of the vehicle when it reaches the destination, the method further comprises:

[0035] Based on the remaining energy or the remaining mileage, the system provides a battery reminder for the currently planned route and recommends charging stations along the route to help the driver plan his or her journey.

[0036] To achieve the above object, the present invention provides a remaining mileage prediction system, the system comprising:

[0037] A first acquisition module is used to acquire a future driving route between the current location and the destination location;

[0038] a second acquisition module, configured to segment the future driving route and acquire road condition information and temperature change information for the future driving route, wherein the road condition information includes total driving time, total driving mileage, and average speed, driving time, and driving mileage of each segment;

[0039] The first calculation module is used in the prediction module to calculate the driving habit score based on the driver's operation of the accelerator and brake pedals in a historical unit time;

[0040] a prediction module, configured to predict the total energy consumption and the energy consumption per unit mileage of the future driving route based on the driving habit score, the road condition information of the future driving route, and the temperature change information;

[0041] The second calculation module is used to calculate and predict the remaining mileage of the vehicle when it arrives at the terminal location based on the total energy consumption of the future driving route and the energy consumption per unit mileage.

[0042] To achieve the above objectives, the present invention also provides a computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the above-mentioned remaining mileage prediction method when executing the computer program.

[0043] To achieve the above-mentioned object, the present invention further provides a readable storage medium, wherein the readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the remaining mileage prediction method described above are implemented.

[0044] The above-mentioned present invention provides a remaining mileage prediction method, system, computer equipment and readable storage medium, which estimates the total energy consumption and unit mileage energy consumption from the current position to the destination based on driving habits, road conditions of the future driving route and ambient temperature, and corrects the current battery remaining energy. The remaining energy when arriving at the destination position is calculated based on the corrected current battery remaining energy and total energy consumption, and the remaining mileage is calculated based on the remaining energy and unit mileage energy consumption. Different from the existing technology, the estimated remaining mileage calculated in this way not only has smaller error and higher accuracy, but also can effectively avoid users from misjudging future travel plans, which may cause the vehicle to break down halfway, thereby reducing users' mileage anxiety during long-distance travel.

[0045] Additional aspects and advantages of the present invention will be set forth in part in the description which follows and, in part, will be obvious from the description which follows, or may be learned by practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 A flowchart of a remaining mileage prediction method provided by the first embodiment of the present invention;

[0047] Figure 2 A flowchart of a remaining mileage prediction method provided by a second embodiment of the present invention;

[0048] Figure 3 A structural block diagram of a remaining mileage prediction system provided by a third embodiment of the present invention;

[0049] Figure 4 This is a structural block diagram of a remaining mileage prediction system provided by a fourth embodiment of the present invention;

[0050] Figure 5 A schematic diagram of the hardware structure of a computer device provided in the fifth embodiment of the present invention.

[0051] The following specific embodiments will further illustrate the present invention in conjunction with the above-mentioned drawings. DETAILED DESCRIPTION

[0052] In order to make the purpose, technical solutions and advantages of this application more clearly understood, the present application is described and illustrated below in conjunction with the accompanying drawings and examples. It should be understood that the specific embodiments described herein are merely used to explain this application and are not intended to limit this application. Based on the embodiments provided in this application, all other embodiments obtained by those of ordinary skill in the art without making any creative efforts are within the scope of protection of this application.

[0053] Obviously, the drawings described below are merely examples or embodiments of the present application. Those skilled in the art can, without inventive effort, apply the present application to other similar scenarios based on these drawings. Furthermore, it is also understood that, although the effort involved in such a development process may be complex and lengthy, for those skilled in the art related to the content disclosed in this application, changes in design, manufacturing, or production based on the technical content disclosed in this application are merely conventional technical means and should not be construed as an insufficiency of the content disclosed in this application.

[0054] References to "embodiments" in this application mean that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the application. The appearance of this phrase in various places in the specification does not necessarily refer to the same embodiment, nor does it refer to independent or alternative embodiments that are mutually exclusive of other embodiments. It is understood, both explicitly and implicitly, by those skilled in the art that the embodiments described in this application may be combined with other embodiments unless there is a conflict.

[0055] Unless otherwise defined, the technical or scientific terms used in this application should have the ordinary meaning understood by a person of ordinary skill in the technical field to which this application belongs. The words "one", "a", "the" and the like used in this application do not indicate a limit on quantity and may indicate the singular or plural. The terms "include", "comprise", "have" and any variations thereof used in this application are intended to cover non-exclusive inclusions; for example, a process, method, system, product or device that includes a series of steps or modules (units) is not limited to the listed steps or units, but may also include steps or units that are not listed, or may also include other steps or units that are inherent to these processes, methods, products or devices. The words "connect", "connected", "coupled" and the like used in this application are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. The word "multiple" used in this application refers to two or more. "And / or" describes the association relationship of associated objects, indicating that three relationships can exist. For example, "A and / or B" can mean: A exists alone, A and B exist at the same time, and B exists alone. The character " / " generally indicates that the objects before and after are in an "or" relationship. The terms "first", "second", "third", etc. involved in this application are only used to distinguish similar objects and do not represent a specific order for the objects.

[0056] The first embodiment of the present application provides a method for predicting remaining mileage. Figure 1 is a flowchart of the remaining mileage prediction method according to the first embodiment of the present application. Figure 1As shown, the process includes the following steps:

[0057] Step S101, obtaining a future driving route between the current location and the destination location;

[0058] Among them, the human-computer interaction system of the vehicle provides a human-computer interaction interface for the user to set the navigation route, and then obtain the future driving route according to the navigation route setting on the human-computer interaction system.

[0059] Step S102, dividing the future driving route into segments and obtaining road condition information and temperature change information for the future driving route, wherein the road condition information includes total driving time, total driving mileage, and average speed, driving time, and driving mileage of each segment;

[0060] Among them, after obtaining the future driving route, the human-computer interaction interface will display the relevant total mileage and the total driving time. By customizing a fixed cycle, the number of divided sections is determined according to the total driving time and the cycle, that is, within the total driving time, each distance the vehicle passes within a cycle is divided into a section. It can be understood that in other embodiments, other application means can also be used to divide the future driving route, such as segmenting based on the congestion of the road conditions in the future driving route.

[0061] Step S103, calculating a driving habit score based on the driver's historical operations on the accelerator and brake pedals within a unit time;

[0062] Among them, the driving habit score is calculated by the vehicle's whole vehicle control system, and the driving habit score will be displayed on the human-computer interaction interface to guide the driver to improve his driving habits. At the same time, the whole vehicle control system is also responsible for identifying driving habits based on the pedal opening voltage signals collected by the accelerator pedal sensor and the brake pedal sensor.

[0063] Step S104, predicting the total energy consumption and energy consumption per unit mileage of the future driving route based on the driving habit score, the road condition information of the future driving route, and the temperature change information;

[0064] The vehicle control system is used to perform an estimated calculation of the total energy consumption and the energy consumption per unit mileage based on the driving habit score, the road condition information of the future vehicle route, and the temperature change information.

[0065] Step S105 , calculating and predicting the remaining mileage of the vehicle when arriving at the destination location based on the total energy consumption of the future driving route and the energy consumption per unit mileage.

[0066] Among them, based on the current remaining battery energy and the known total energy consumption, the remaining energy when reaching the final destination can be obtained, and the remaining mileage required to be estimated can be obtained through the remaining energy and the energy consumption per unit mileage. It should be noted that this calculation is implemented in the vehicle's entire vehicle control system.

[0067] Through the above steps, the total energy consumption and the energy consumption per unit mileage from the current position to the destination position are estimated based on the driving habit score, the road condition information of the future driving route, and the ambient temperature change, and the remaining energy when arriving at the destination position is calculated based on the total energy consumption, and the remaining mileage is calculated based on the remaining energy and the energy consumption per unit mileage. Different from the existing technology, the estimated remaining mileage calculated in this way not only has smaller error and higher accuracy, but also can effectively avoid users from misjudging future travel plans, which may cause the vehicle to break down halfway, thereby reducing users' mileage anxiety during long-distance travel.

[0068] In some embodiments, before the step of calculating and predicting the remaining range of the vehicle when arriving at the destination, the method further includes:

[0069] Correcting the current remaining battery energy according to the road condition information and the temperature change information;

[0070] The remaining energy of the vehicle when arriving at the destination is calculated based on the corrected current remaining energy of the battery.

[0071] Among them, since the battery is greatly affected by temperature and road conditions, in order to further improve the accuracy of the data, the current battery remaining energy is also corrected in this embodiment. The corrected current battery remaining energy is more in line with the actual situation, and the data is more real and reliable, which makes the final estimated remaining mileage more accurate. Therefore, when calculating the remaining energy, it is necessary to correct the current battery remaining energy in advance to obtain the current actual remaining energy, and calculate the remaining mileage with higher accuracy based on the current actual remaining energy, that is, the corrected current battery remaining energy.

[0072] In some embodiments, the step of calculating the driving habit score specifically includes:

[0073] The acceleration driving habit score and the deceleration driving habit score are calculated based on the driver's operation of the accelerator and brake pedals in the historical unit time.

[0074] The acceleration driving habit score is calculated by, in the acceleration state, performing a linear difference table based on the number of times the accelerator pedal change rate exceeds a first threshold and the number of times the throttle depth exceeds a second threshold within a historical unit time to calculate the acceleration driving habit score. An example of the acceleration driving habit score lookup table is as follows:

[0075]

[0076] The deceleration driving habit score is specifically calculated by performing a linear interpolation table lookup based on the number of times the driver's brake pedal change rate exceeds a third threshold and the number of times the brake pedal depth exceeds a fourth threshold within a historical unit time in a deceleration state. The deceleration driving habit score is calculated using an example of the table lookup as follows:

[0077]

[0078] Calculating a driving habit score according to the acceleration driving habit score and the deceleration driving habit score;

[0079] The driving habit score calculation formula is as follows:

[0080] Score now =(Score acc +Score brk ) / 2

[0081] Among them, Score now Represents the driving habit score, Score acc Represents the acceleration driving habit score, Score brk Represents the deceleration driving habit score.

[0082] In some embodiments, the step of predicting the total energy consumption of the future driving route specifically includes:

[0083] Predict the energy consumption of each high-voltage accessory in the vehicle, including the drive motor, DC-DC, air conditioning compressor, and PTC;

[0084] The total energy consumption of the future driving route is predicted based on the energy consumption of each of the high-voltage accessories.

[0085] It should be noted that the energy consumption of each high-voltage accessory is calculated as follows:

[0086] The energy consumption of the drive motor is the sum of the energy consumption of the drive motor in each section of the distance. The energy consumption of the drive motor is calculated as follows:

[0087] W mot =∑(W mot1 ,W mot2 ,...W motn )

[0088] Among them, W mot Represents the energy consumption of the driving motor in the future driving route, W mot1Represents the energy consumption of the driving motor in the first section, W mot2 Represents the energy consumption of the driving motor in the second section, W motn Represents the energy consumption of the driving motor during the nth segment of the journey.

[0089] The calculation formula for the energy consumption of the driving motor in the nth segment is as follows:

[0090]

[0091] Among them, v n is the average speed of the nth segment, m is the vehicle mass, f is the rolling resistance coefficient, Cd is the windward resistance coefficient, A is the vehicle's frontal area, in is the slope of the road in the nth segment, t_drv n is the road slope of the nth section, η is the mechanical transmission efficiency, k DrvHabt is a driving habit energy consumption adjustment coefficient calculated according to the driving habit score.

[0092] The calculation formula of the driving habit energy consumption adjustment coefficient is as follows:

[0093] k DrvHabt =(100+Score now -Score avg ) / 100

[0094] Among them, Score now Represents the driving habit score, Score avg Represents the average driving habit score based on the test results of different drivers.

[0095] The DCDC energy consumption is the sum of the DCDC energy consumption in each section of the journey. The calculation formula of the DCDC energy consumption is as follows:

[0096] W DCDC -∑(W DCDC1 , W DCDC2 ,...,W DCDCn )

[0097] Among them, W DCDC Represents the energy consumption of the DCDC in the future driving route, W DCDC1 Represents the energy consumption of the DCDC in the first section, W DCDC2 Represents the energy consumption of the DCDC in the second section, W DCDCn Represents the energy consumption of the DCDC in the nth segment.

[0098] The DCDC energy consumption calculation formula for the nth segment is:

[0099]

[0100] Among them, P da_avg is the average operating power of the DCDC in a straight-line driving state; t_drv n is the driving time of the nth segment; k Lv k is the DCDC energy consumption correction factor for the low voltage accessory state, Lv The impact of road light on the energy consumption of low-voltage accessories is calculated based on the ambient temperature predicted for the future road section and the driving time.

[0101] The calculation formula of the correction coefficient of the DCDC energy consumption in the low-voltage accessory state is as follows:

[0102] k Lv =100%*k AirTemp *k Light

[0103] Among them, k AirTemp k is the ambient temperature influence coefficient, and is the ratio of the DCDC energy consumption tested at different ambient temperatures to that at normal temperature; Light is the correction coefficient of the DCDC energy consumption due to the light conditions during driving.

[0104] Correction coefficient k of ambient temperature on DCDC energy consumption AirTemp An example of a table lookup:

[0105]

[0106] Correction coefficient k of DCDC energy consumption due to light conditions during driving hours Light An example of a table lookup:

[0107] Driving time 5:00～8:00 8:00～17:00 17:00～19:00 19:00～5:00 <![CDATA[k Light ]]> 1.02 1 1.02 1.05

[0108] The energy consumption of the air conditioner is the sum of the energy consumption of the air conditioner in each section of the journey. The energy consumption of the air conditioner is calculated as follows:

[0109] W AC =∑(W AC1 ,W AC2 ,...,W ACn )

[0110] Among them, W AC Represents the energy consumption of the air conditioner in the future driving route, W AC1 Represents the energy consumption of the air conditioner in the first section, W AC2 Represents the energy consumption of the air conditioner in the second section, W ACn Represents the energy consumption of the air conditioning during the nth segment of the journey.

[0111] The calculation formula for the energy consumption of the air conditioner in the nth segment is as follows:

[0112]

[0113] in, is the operating power of the air conditioner required to cool the passenger compartment during the nth segment of the journey, Additional air conditioning power required to cool the vehicle battery pack, t_drv n is the travel time of the nth segment.

[0114] Air conditioning power required for passenger compartment cooling The calculation is based on the current air conditioning switch status and the predicted ambient temperature: if the current air conditioning status is off, the predicted air conditioning power required for passenger compartment cooling is 0; if the current air conditioning status is on, the air conditioning operating power is calculated based on the difference between the set passenger compartment target temperature and the predicted road section ambient temperature. The table data is a calibration value set based on the actual vehicle test results. When the air conditioning is on, the predicted air conditioning operating power is An example of a table lookup:

[0115]

[0116] Additional operating power of the air conditioner required for battery pack cooling The table is looked up based on the average vehicle speed and ambient temperature of the predicted road section, and the table data is also a calibration value set based on actual vehicle test data.

[0117] Additional operating power of the air conditioner required for battery pack cooling For example:

[0118]

[0119]

[0120] The energy consumption of the PTC is the sum of the energy consumption of the PTC in each section of the journey. The PTC includes the passenger compartment PTC and the battery heating PTC. The energy consumption of the PTC is calculated as follows:

[0121]

[0122] Among them, W PYC represents the sum of the PTC energy consumption in the future driving route, Represent the energy consumption of the passenger compartment PTC and the battery heating PTC in the first section of the journey respectively. They represent the energy consumption of the passenger compartment PTC and the battery heating PTC in the second segment respectively. They represent the energy consumption of the passenger compartment PTC and the battery heating PTC in the nth segment respectively.

[0123] The calculation formulas for the passenger compartment PTC energy consumption and the battery pack PTC energy consumption for the nth segment are as follows:

[0124]

[0125] in, The working power of the PTC required to heat the passenger compartment for the nth segment of the journey, Battery PTC operating power required to heat the battery pack, t_drv n is the travel time of the nth segment.

[0126] The PTC operating power required for passenger compartment cooling is calculated based on the current air conditioning heating switch status and the predicted ambient temperature: if the current air conditioning heating switch status is off, the predicted passenger compartment heating PTC power is 0; if the current air conditioning heating status is on, the passenger compartment PTC operating power is calculated by looking up the table based on the set passenger compartment target temperature and the ambient temperature difference between the predicted road section; the table data is a calibration value set based on the actual vehicle test results.

[0127] Predicted air conditioning operating power when the air conditioner is turned on An example of a table lookup:

[0128]

[0129]

[0130] Battery pack heating PTC working power The table is looked up based on the average vehicle speed and ambient temperature of the predicted road section, and the table data is also a calibration value set based on actual vehicle test data.

[0131] Additional operating power of the air conditioner required for battery pack cooling For example:

[0132]

[0133] In some embodiments, the step of correcting the current remaining battery energy specifically includes: predicting the average discharge power of the battery based on the predicted total energy consumption and total driving time in the future driving route;

[0134] It should be noted that the calculation formula for the average discharge power of the battery is as follows:

[0135] P Batt =(W mot +W DCDC +W AC +W PTC ) / Σ(t_drv1, ..., t_drv n )

[0136] Among them, P BattRepresents the average discharge power of the battery, W mat 、W DCDC 、W AC 、W PTC They represent the energy consumption of the driving motor, the energy consumption of the DCDC, the energy consumption of the air conditioner and the PTC respectively. t_drv1 represents the driving time of the first segment. t_drv n is the travel time of the nth segment.

[0137] Based on the historical battery temperature change rate over time, predict the battery's future temperature change and predict the battery temperature;

[0138] It should be noted that the calculation formula for the battery temperature is as follows:

[0139] T Batt Futrve =T Batt now +dT

[0140] Among them, T Batt Futrue Represents the battery temperature, T Batt now Represents the current battery temperature, and dT represents the future temperature change data of the battery.

[0141] Calculating a correction coefficient for the current remaining battery energy based on the predicted average discharge power and the battery temperature;

[0142] The following is an example of a lookup table for the correction coefficient of the current remaining battery energy:

[0143]

[0144] The current battery remaining energy is corrected according to the correction coefficient, and the corrected current battery remaining energy is calculated.

[0145] The corrected calculation formula for the current remaining battery energy is as follows:

[0146] SOE Futrue =SOE now *k SOE

[0147] Understandable, SOE Futrue Represents the corrected remaining battery energy, SOE now Represents the current remaining battery energy calculated based on the current battery status, k SOE Represents the correction factor of the current remaining battery energy calculated based on the current battery status.

[0148] In some embodiments, the remaining energy of the vehicle when reaching the end position is calculated as follows:

[0149] SOEleft =SOE Futrue -(W mot +W DCDC +W AC +W PTC )

[0150] Among them, SOE left Represents the remaining energy of the vehicle when it reaches the destination, SOE Futrue Represents the corrected current remaining battery energy, W mot Represents the energy consumption of the drive motor, W DCDC Represents the energy consumption of the DCDC, W AC Represents the energy consumption of the air compressor, W PTC Represents the energy consumption of the passenger compartment and battery pack PTC.

[0151] The calculation formula for the remaining mileage of the vehicle when it reaches the destination is as follows:

[0152] S left =SOE left / [(W mot +W DCDC +W AC +W PTC ) / S sum ]

[0153] Among them, S left Represents the remaining mileage of the vehicle when it reaches the destination, S sum is the total mileage of the future driving route.

[0154] The second embodiment of the present application also provides a remaining mileage prediction method. Figure 2 is a flowchart of the remaining mileage prediction method according to the second embodiment of the present application. Figure 2 As shown, the process includes the following steps:

[0155] Step S201, obtaining a future driving route between the current location and the destination location;

[0156] Step S202: Segment the future driving route and obtain road condition information and temperature change information for the future driving route, wherein the road condition information includes total driving time, total driving mileage, and average speed, driving time, and driving mileage for each segment.

[0157] Step S203, calculating a driving habit score based on the driver's historical operations on the accelerator and brake pedals within a unit time;

[0158] Step S204, predicting the total energy consumption and energy consumption per unit mileage of the future driving route based on the driving habit score, the road condition information of the future driving route, and the temperature change information;

[0159] Step S205, correcting the current remaining battery energy based on the road condition information and the temperature change information, and calculating the remaining energy of the vehicle when arriving at the destination based on the corrected current remaining battery energy and the total energy consumption;

[0160] Among them, since the battery is greatly affected by temperature and road conditions, in order to further improve the accuracy of the data, the current battery remaining energy is also corrected in this embodiment. The corrected current battery remaining energy is more in line with the actual situation, and the data is more real and reliable, which makes the final estimated remaining mileage more accurate.

[0161] Step S206, calculating and predicting the remaining mileage of the vehicle when it arrives at the destination location based on the remaining energy and the energy consumption per unit mileage;

[0162] The remaining energy is calculated based on the corrected remaining battery energy and the total energy consumption, and the estimated remaining mileage is calculated based on the remaining energy and the energy consumption per unit mileage.

[0163] Step S207: Based on the remaining mileage or remaining energy, the driver is prompted with the battery level of the currently planned route and is recommended charging stations along the route to help the driver plan his trip.

[0164] Among them, in order to further avoid mileage anxiety and prevent sudden changes, the vehicle's power level is prompted in real time. When the power is low, the driver can be informed of the charging stations along the way and recommended to help the driver make better plans.

[0165] Through the above steps, the total energy consumption and energy consumption per unit mileage from the current position to the destination are estimated based on driving habits, road conditions of the future driving route, and ambient temperature, and the current remaining battery energy is corrected. The remaining energy when arriving at the destination position is calculated based on the corrected current battery remaining energy and total energy consumption. The remaining mileage is calculated based on the remaining energy and energy consumption per unit mileage. Different from the existing technology, the estimated remaining mileage calculated in this way not only has smaller error and higher accuracy, but also can effectively avoid users from misjudging future travel plans, which may cause the vehicle to break down halfway, thereby reducing users' mileage anxiety during long-distance travel.

[0166] In some embodiments, the steps of providing a battery reminder for the currently planned route and recommending charging stations along the route based on the remaining mileage to help the driver plan his trip specifically include:

[0167] Step S301, judging whether the vehicle can reach the destination according to the predicted remaining energy when reaching the destination;

[0168] Among them, the way to judge whether the vehicle can reach the destination is to judge whether the predicted remaining mileage is greater than 0. Obviously, when the remaining mileage is greater than 0, it means that the destination can be reached. When the remaining mileage is less than 0, it means that the destination cannot be reached normally. The human-computer interaction system will issue an alarm to remind that the destination cannot be reached, and will recommend charging piles / stations along the way.

[0169] Step S302, when it is determined that the vehicle can reach the destination, the remaining mileage is compared with a calibration threshold;

[0170] The calibration threshold is 60 kilometers, and the calibration threshold can be customized on the human-computer interaction system according to actual conditions.

[0171] Step S303: When the remaining mileage is greater than the calibration threshold, a sufficient battery reminder is issued.

[0172] Among them, when the remaining mileage is less than the calibrated threshold, the human-computer interaction system will issue a prompt that the battery may be insufficient when reaching the destination, so as to remind the driver to pay more attention to the real-time remaining battery of the vehicle during driving.

[0173] It should be noted that the steps shown in the above process or the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0174] The third embodiment of the present application further provides a remaining range prediction system, which is used to implement the first embodiment and preferred embodiments described above. Details already described are omitted for clarity. As used below, the terms "module," "unit," "subunit," and the like may refer to a combination of software and / or hardware that implements a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, implementation using hardware, or a combination of software and hardware, is also possible and contemplated.

[0175] Figure 3 is a structural block diagram of the remaining mileage prediction system according to the third embodiment of the present application. Figure 3 As shown, the system includes:

[0176] A first acquisition module 10 is used to acquire a future driving route between the current location and the destination location;

[0177] A second acquisition module 20 is configured to segment the future driving route and acquire road condition information and temperature change information for the future driving route, wherein the road condition information includes total driving time, total driving mileage, and average speed, driving time, and driving mileage for each segment;

[0178] The first calculation module 30 is used as a prediction module to calculate the driving habit score based on the driver's operation of the accelerator and brake pedals within a historical unit time;

[0179] A prediction module 40 is configured to predict the total energy consumption and the energy consumption per unit mileage of the future driving route based on the driving habit score, the road condition information of the future driving route, and the temperature change information;

[0180] The second calculation module 50 is configured to calculate and predict the remaining mileage of the vehicle when arriving at the destination location based on the total energy consumption of the future driving route and the energy consumption per unit mileage.

[0181] Through the above steps, the total energy consumption and the energy consumption per unit mileage from the current position to the destination position are estimated based on the driving habit score, the road condition information of the future driving route, and the ambient temperature change, and the remaining mileage is calculated based on the total energy consumption and the energy consumption per unit mileage. Different from the existing technology, the estimated remaining mileage calculated in this way not only has smaller error and higher accuracy, but also can effectively avoid users from misjudging future travel plans, which may cause the vehicle to break down halfway, thereby reducing users' mileage anxiety during long-distance travel.

[0182] In some embodiments, before the second calculation module 50, the system further includes:

[0183] A correction module, configured to correct the current remaining battery energy according to the road condition information and the temperature change information;

[0184] The third calculation module is used to calculate the remaining energy of the vehicle when it reaches the destination based on the corrected current remaining battery energy.

[0185] In some embodiments, the first computing module 10 includes:

[0186] A first calculation unit; used to calculate the acceleration driving habit score and the deceleration driving habit score respectively based on the driver's operation of the accelerator and brake pedals within a historical unit time;

[0187] The second calculation unit is used to calculate a driving habit score according to the acceleration driving habit score and the deceleration driving habit score.

[0188] In some embodiments, the prediction module 40 includes:

[0189] A first prediction unit is used to predict the energy consumption of each high-voltage accessory in the vehicle, wherein the high-voltage accessories include a drive motor, a DC / DC converter, an air-conditioning compressor, and a PTC;

[0190] The second prediction unit is used to predict the total energy consumption of the future driving route according to the energy consumption of each of the high-voltage accessories.

[0191] In some embodiments, the remaining energy of the vehicle when reaching the end position is calculated as follows:

[0192] SOE left =SOE Futrue -(W mot +W DCDC +W AC +W PTC )

[0193] Among them, SOE left Represents the remaining energy of the vehicle when it reaches the destination, SOE Futrue Represents the corrected current remaining battery energy, W mot Represents the energy consumption of the drive motor, W DCDC Represents the energy consumption of the DCDC, W AC Represents the energy consumption of the air compressor, W PTC Represents the energy consumption of the passenger compartment and battery pack PTC.

[0194] The calculation formula for the remaining mileage of the vehicle when it reaches the destination is as follows:

[0195] S left =SOE left / [(W mot +W DCDC +W AC +W PTC ) / S sum ]

[0196] Among them, S left Represents the remaining mileage of the vehicle when it reaches the destination, S sum is the total mileage of the future driving route.

[0197] The fourth embodiment of the present application further provides a remaining range prediction system, which is used to implement the second embodiment and preferred embodiments described above. Details already described will not be repeated here. As used below, the terms "module," "unit," "subunit," etc., may refer to a combination of software and / or hardware that implements a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, implementation using hardware, or a combination of software and hardware, is also possible and contemplated.

[0198] Figure 4is a structural block diagram of a remaining mileage prediction system according to a fourth embodiment of the present application. Figure 4 As shown, the system includes:

[0199] The first acquisition module 100 is used to obtain the future driving route between the current location and the destination location;

[0200] A second acquisition module 200 is configured to segment the future driving route and acquire road condition information and temperature change information for the future driving route, wherein the road condition information includes total driving time, total driving mileage, and average speed, driving time, and driving mileage for each segment;

[0201] A first calculation module 300 is configured to calculate a driving habit score based on the driver's operation of the accelerator and brake pedals within a historical unit time period;

[0202] A first prediction module 400 is configured to predict the total energy consumption and the energy consumption per unit mileage of the future driving route based on the driving habit score, the road condition information of the future driving route, and the temperature change information;

[0203] an energy calculation module 500 for correcting the current remaining battery energy based on the road condition information and the temperature change information, and calculating the remaining energy of the vehicle upon reaching the destination based on the corrected current remaining battery energy and the total energy consumption;

[0204] A mileage calculation module 600 is configured to calculate and predict the remaining mileage of the vehicle when it arrives at the destination location based on the remaining energy and the energy consumption per unit mileage;

[0205] The planning module 700 is used to provide a battery reminder for the currently planned route based on the remaining mileage or remaining energy, and recommend charging stations along the way to help the driver plan his trip.

[0206] In some embodiments, the planning module 700 includes:

[0207] a judgment unit, configured to judge whether the vehicle can reach the end position based on the predicted remaining energy when reaching the end position;

[0208] a comparing unit, configured to compare the remaining mileage with a calibrated threshold when it is determined that the vehicle can reach the destination;

[0209] The prompt unit is used to issue a sufficient battery prompt when the remaining mileage is greater than the calibration threshold.

[0210] It should be noted that the above modules can be functional modules or program modules, and can be implemented through software or hardware. For modules implemented through hardware, the above modules can be located in the same processor; or the above modules can be located in different processors in any combination.

[0211] In addition, combined Figure 5 The remaining mileage prediction method described in the fifth embodiment of the present application can be implemented by a computer device. Figure 5 Schematic diagram of the hardware structure of a computer device according to an embodiment of the present application.

[0212] The computer device may include a processor 51 and a memory 52 storing computer program instructions.

[0213] Specifically, the processor 51 may include a central processing unit (CPU), or an application-specific integrated circuit (ASIC), or may be configured to implement one or more integrated circuits of the embodiments of the present application.

[0214] Among them, the memory 52 may include a large-capacity memory for data or instructions. By way of example and not limitation, the memory 52 may include a hard disk drive (HDD), a floppy disk drive, a solid-state drive (SSD), a flash memory, an optical disk, a magneto-optical disk, a magnetic tape, or a universal serial bus (USB) drive, or a combination of two or more of these. Where appropriate, the memory 52 may include a removable or non-removable (or fixed) medium. Where appropriate, the memory 52 may be inside or outside the data processing device. In a specific embodiment, the memory 52 is a non-volatile memory. In a specific embodiment, the memory 52 includes a read-only memory (ROM) and a random access memory (RAM). Where appropriate, the ROM may be a mask-programmed ROM, a programmable ROM (PROM), an erasable PROM (EPROM), an electrically erasable PROM (EEPROM), an electrically alterable ROM (EAROM) or a flash memory (FLASH), or a combination of two or more of these. Under appropriate circumstances, the RAM can be a static random access memory (SRAM) or a dynamic random access memory (DRAM), where the DRAM can be a fast page mode dynamic random access memory (FPMDRAM), an extended data output dynamic random access memory (EDODRAM), a synchronous dynamic random access memory (SDRAM), etc.

[0215] The memory 52 may be used to store or cache various data files that need to be processed and / or used for communication, as well as possible computer program instructions executed by the processor 51 .

[0216] The processor 51 reads and executes computer program instructions stored in the memory 52 to implement any of the remaining mileage prediction methods in the above embodiments.

[0217] In some embodiments, the computer device may further include a communication interface 53 and a bus 50. Figure 5 As shown, the processor 51, the memory 52, and the communication interface 53 are connected via a bus 50 and communicate with each other.

[0218] The communication interface 53 is used to implement communication between the various modules, devices, units, and / or devices in the embodiments of the present application. The communication interface 53 can also implement data communication with other components such as: external devices, image / data acquisition equipment, databases, external storage, and image / data processing workstations.

[0219] The bus 50 includes hardware, software, or both, and couples components of a computer device to each other. The bus 50 includes, but is not limited to, at least one of the following: a data bus, an address bus, a control bus, an expansion bus, and a local bus. By way of example and not limitation, bus 50 may include an Accelerated Graphics Port (AGP) or other graphics bus, an Extended Industry Standard Architecture (EISA) bus, a Front Side Bus (FSB), a Hyper Transport (HT) interconnect, an Industry Standard Architecture (ISA) bus, an InfiniBand interconnect, a Low Pin Count (LPC) bus, a memory bus, a Micro Channel Architecture (MCA) bus, a Peripheral Component Interconnect (PCI) bus, a PCI-Express (PCI-X) bus, a Serial Advanced Technology Attachment (SATA) bus, a Video Electronics Standards Association Local Bus (VLB) bus, or other suitable buses, or a combination of two or more of these. Bus 50 may include one or more buses, where appropriate. Although embodiments herein describe and illustrate a particular bus, this application contemplates any suitable bus or interconnect.

[0220] The computer device can execute the service scheduling method in the embodiment of the present application based on the acquired computer program, thereby realizing the combination Figure 2 The remaining range prediction method described.

[0221] In addition, in conjunction with the remaining range prediction method in the above embodiments, the present application can provide a readable storage medium for implementation. The readable storage medium stores computer program instructions; when the computer program instructions are executed by a processor, any of the remaining range prediction methods in the above embodiments can be implemented.

[0222] The technical features of the above-mentioned embodiments can be combined arbitrarily. In order to make the description concise, not all possible combinations of the technical features in the above-mentioned embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0223] The above-described embodiments merely represent several implementation methods of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that a person skilled in the art could make various modifications and improvements without departing from the spirit of the present application, all of which fall within the scope of protection of the present application. Therefore, the scope of protection of the present patent application shall be determined by the appended claims.

Claims

1. A method for predicting remaining mileage, characterized in that: include: Get the future driving route between the current location and the destination location; Divide the future driving route into segments and obtain road condition information and temperature change information for the future driving route, wherein the road condition information includes total driving time, total driving mileage, and average speed, driving time, and driving mileage of each segment; Calculate the driving habit score based on the driver's operation of the accelerator and brake pedals in historical unit time; Predicting the total energy consumption and energy consumption per unit mileage of the future driving route based on the driving habit score, road condition information of the future driving route, and temperature change information; Calculate and predict the remaining mileage of the vehicle when arriving at the destination location based on the total energy consumption of the future driving route and the energy consumption per unit mileage; The step of calculating the driving habit score specifically includes: In the acceleration state, the acceleration driving habit score is calculated based on the number of times the accelerator pedal change rate exceeds a first threshold and the number of times the throttle depth exceeds a second threshold within a historical unit time, and through linear interpolation; In the deceleration state, a deceleration driving habit score is calculated by linear interpolation based on the number of times the brake pedal change rate exceeds a third threshold and the number of times the brake pedal depth exceeds a fourth threshold within the historical unit time; Calculating a driving habit score according to the acceleration driving habit score and the deceleration driving habit score; The driving habit score calculation formula is as follows: in, Represents the driving habit score, Represents the acceleration driving habit score, Represents the deceleration driving habit score.

2. The remaining mileage prediction method according to claim 1, characterized in that: Before the step of calculating and predicting the remaining range of the vehicle when it reaches the end position, the method further includes: Correcting the current remaining battery energy according to the road condition information and the temperature change information; The remaining energy of the vehicle when arriving at the end position is calculated based on the corrected current remaining energy of the battery.

3. The remaining mileage prediction method according to claim 2, characterized in that: The step of predicting the total energy consumption of the future driving route specifically includes: Predict the energy consumption of each high-voltage accessory in the vehicle, including the drive motor, DC-DC, air conditioning compressor, and PTC; The total energy consumption of the future driving route is predicted based on the energy consumption of each of the high-voltage accessories.

4. The remaining mileage prediction method according to claim 2, characterized in that: The step of correcting the current remaining battery energy specifically includes: Predicting an average discharge power of the battery based on the predicted total energy consumption and total driving time in the future driving route; Based on the historical battery temperature change rate over time, predict the battery's future temperature change and predict the battery temperature; Calculating a correction coefficient for the current remaining battery energy based on the predicted average discharge power and the battery temperature; The current battery remaining energy is corrected according to the correction coefficient, and the corrected current battery remaining energy is calculated.

5. The remaining mileage prediction method according to claim 3, characterized in that: The calculation formula of the remaining energy of the vehicle when reaching the end position is as follows: in, Represents the remaining energy of the vehicle when it reaches the final position, Represents the corrected current remaining battery energy, represents the energy consumption of the drive motor, represents the energy consumption of the DCDC, represents the energy consumption of the air-conditioning compressor, Represents the energy consumption of the passenger compartment and battery pack PTC; The calculation formula for the remaining mileage of the vehicle when it reaches the end position is as follows: / in, Represents the remaining mileage of the vehicle when it reaches the destination. is the total mileage of the future driving route.

6. The remaining mileage prediction method according to claim 2, characterized in that: After the step of calculating and predicting the remaining range of the vehicle when it reaches the destination, the method further includes: Based on the remaining energy or the remaining mileage, the system provides a battery reminder for the currently planned route and recommends charging stations along the route to help the driver plan his or her journey.

7. A remaining mileage prediction system, used to implement the remaining mileage prediction method according to any one of claims 1 to 6, characterized in that: The system comprises: A first acquisition module is used to acquire a future driving route between the current location and the destination location; a second acquisition module, configured to segment the future driving route and acquire road condition information and temperature change information for the future driving route, wherein the road condition information includes total driving time, total driving mileage, and average speed, driving time, and driving mileage of each segment; The first calculation module is used in the prediction module to calculate the driving habit score based on the driver's operation of the accelerator and brake pedals in a historical unit time; a prediction module, configured to predict the total energy consumption and the energy consumption per unit mileage of the future driving route based on the driving habit score, the road condition information of the future driving route, and the temperature change information; A second calculation module is used to calculate and predict the remaining mileage of the vehicle when arriving at the terminal location based on the total energy consumption of the future driving route and the energy consumption per unit mileage; The first calculation module includes: a first calculation unit configured to calculate an acceleration driving habit score by linear interpolation based on the number of times the accelerator pedal change rate exceeds a first threshold and the number of times the throttle pedal depth exceeds a second threshold within a historical unit time in an acceleration state, and to calculate a deceleration driving habit score by linear interpolation based on the number of times the brake pedal change rate exceeds a third threshold and the number of times the brake pedal depth exceeds a fourth threshold within the historical unit time in a deceleration state; a second calculation unit, configured to calculate a driving habit score according to the acceleration driving habit score and the deceleration driving habit score; The driving habit score calculation formula is as follows: in, Represents the driving habit score, Represents the acceleration driving habit score, Represents the deceleration driving habit score.

8. A computer device 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 steps of the remaining range prediction method according to any one of claims 1 to 6 are implemented.

9. A readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the remaining range prediction method according to any one of claims 1 to 6 are implemented.

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