Voice prompt method and device for vehicle energy supplement, equipment and medium

Abstract

The embodiment of the invention provides a voice prompt method and device for vehicle energy supplementation, equipment and a medium, and the method comprises the steps: obtaining a plurality of first driving routes of the travel, obtaining the minimum value of the estimated energy consumption value of the travel according to the plurality of first driving routes, and when the remaining energy value of a vehicle is smaller than the minimum value, performing voice prompt on the vehicle; determining a plurality of second driving routes corresponding to a plurality of energy stations along the way in each first driving route from the plurality of first driving routes, determining a target second driving route from the plurality of second driving routes for each first driving route, and determining a target driving route from the plurality of target second driving routes, in the driving process of the journey, the user is prompted to drive to the corresponding energy station according to the target driving route through the voice broadcast prompting function to supplement energy, and the situation that a driver misses the energy station or cannot drive to a service area on a highway due to insufficient pre-judged driving kilometers is effectively avoided.

Description

Technical Field

[0001] The present invention relates to the field of intelligent vehicle technology, and in particular to a voice prompt method and device, equipment and medium for vehicle energy replenishment. Background Art

[0002] At present, the main driving materials of automobiles still rely on fuel or electricity, but the vehicle's endurance is related to the capacity of the vehicle's fuel tank or the size of the battery pack. For private cars with smaller fuel tanks, you should always pay attention to the remaining fuel or electricity in the vehicle's fuel tank, and go to the gas station to refuel or the charging station to charge in time to maintain the normal driving of the vehicle and avoid unnecessary trouble. There will be only one icon or scale in a conventional car to show the fuel or power status.

[0003] However, sometimes, drivers ignore the remaining fuel or power in the vehicle tank, which results in the energy indicator being on but unable to find a refueling or charging station, so that the vehicle cannot drive, or finding a refueling or charging station but running out of fuel or power before reaching it, etc. In particular, sudden stopping on the highway after running out of fuel or power will bring great driving danger.

[0004] The existing in-vehicle navigation system will provide information about road conditions, such as whether there are gas stations or charging stations on the highway, but it cannot determine whether it is necessary to enter the service area based on the remaining fuel or power of the vehicle. In addition, when the vehicle is driving on non-highway roads, many gas stations or charging stations are not obvious. When the vehicle is out of fuel or power, the vehicle may have already passed the gas stations or charging stations that are not obvious. When the vehicle is driving in the city, it is particularly troublesome to turn around in the city. Taking an extra detour may result in insufficient fuel or power and unable to reach the gas station or charging station for refueling or charging, causing many inconveniences. Summary of the invention

[0005] In view of the above problems, a method and device, equipment and medium for voice prompting of vehicle energy replenishment are proposed to overcome the above problems or at least partially solve the above problems, including:

[0006] A voice prompt method for vehicle energy replenishment, the method comprising:

[0007] Acquire multiple first driving routes of the current trip, and acquire a minimum value of the estimated energy consumption value of the current trip according to the multiple first driving routes;

[0008] When the remaining energy value of the vehicle is less than the minimum value, determining, from the plurality of first driving routes, a plurality of second driving routes corresponding to a plurality of energy stations along each of the first driving routes;

[0009] For each of the first driving routes, determining a target second driving route from the plurality of second driving routes, and determining a target driving route from the plurality of target second driving routes;

[0010] During the driving process of this trip, the user is prompted by the voice broadcast prompt function to drive to the corresponding energy station for energy replenishment according to the target driving route.

[0011] Optionally, obtaining the minimum value of the estimated energy consumption value of the current trip according to the multiple first driving routes includes:

[0012] Obtaining an estimated energy consumption value for each of the first driving routes based on the mileage information of each of the first driving routes, the driving habit data, and the usage of electronic appliances in the vehicle during driving; wherein the driving habit data is the behavioral characteristics of the driver during braking;

[0013] The minimum value of the estimated energy consumption value of the current trip is obtained from the multiple energy consumption values ​​estimated for the first driving routes.

[0014] Optionally, for each of the first driving routes, determining a target second driving route from the plurality of second driving routes includes:

[0015] A first target inherent parameter group is determined from the inherent parameter groups corresponding to the plurality of second driving routes, and the second driving route corresponding to the first target inherent parameter group is determined as the target second driving route.

[0016] Optionally, determining the first target inherent parameter group from the inherent parameter groups corresponding to the plurality of second driving routes includes:

[0017] Obtain constraint relationships for the inherent parameter groups, and determine a first target inherent parameter group from inherent parameter groups corresponding to a plurality of second driving routes based on the plurality of constraint relationships.

[0018] Optionally, the inherent parameters in the inherent parameter group include: driving time, driving mileage, energy replenishment cost, and charging gun power;

[0019] The multiple constraint relationships include multiple constraint conditions, including: expected total energy, expected target duration, expected energy replenishment cost and expected charging gun power; wherein the expected total energy is the sum of the expected energy replenishment value and the remaining energy value of the vehicle.

[0020] Optionally, determining the first target inherent parameter group from the inherent parameter groups corresponding to the plurality of second driving routes according to the plurality of constraint relationships includes:

[0021] Obtaining a corresponding target programming mathematical model through the multiple constraint relationships;

[0022] The first target inherent parameter group is determined from the inherent parameter groups corresponding to the plurality of second driving routes through the target planning mathematical model.

[0023] Optionally, during the driving process of the current trip, the voice broadcast prompt function prompts the user to drive to the corresponding energy station for energy replenishment according to the target driving route, including:

[0024] During the driving process of this trip, when it is detected that the distance from the target driving route to the corresponding energy station is less than the preset distance, the voice broadcast prompt function prompts the user to drive to the corresponding energy station along the target driving route for energy replenishment.

[0025] A voice prompt device for vehicle energy replenishment, the device comprising:

[0026] An energy consumption value acquisition module, used to acquire multiple first driving routes of this trip, and acquire a minimum value of the estimated energy consumption value of this trip according to the multiple first driving routes;

[0027] A second driving route determination module, configured to determine, from the plurality of first driving routes, a plurality of second driving routes corresponding to a plurality of energy stations along each of the first driving routes when the remaining energy value of the vehicle is less than the minimum value;

[0028] a target driving route determining module, configured to determine a target second driving route from the plurality of second driving routes for each of the first driving routes, and to determine a target driving route from the plurality of target second driving routes;

[0029] The voice broadcast module is used to remind the user to drive to the corresponding energy station for energy replenishment along the target driving route through the voice broadcast prompt function during the driving process of the current trip.

[0030] An electronic device comprises a processor, a memory and a computer program stored in the memory and capable of running on the processor, wherein the computer program implements the above-mentioned vehicle automatic emergency braking control method when executed by the processor.

[0031] A computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the control method for automatic emergency braking of a vehicle as described above is implemented.

[0032] The embodiments of the present invention have the following advantages:

[0033] In an embodiment of the present invention, by obtaining multiple first driving routes of this trip, and according to the multiple first driving routes, obtaining the minimum value of the estimated energy consumption value of this trip, when the remaining energy value of the vehicle is less than the minimum value, from the multiple first driving routes, determine multiple second driving routes corresponding to multiple energy stations along each of the first driving routes, for each of the first driving routes, determine the target second driving route from the multiple second driving routes, and determine the target driving route from the multiple target second driving routes, during the driving process of the current trip, prompt the user to drive to the corresponding energy station according to the target driving route for energy replenishment through the voice broadcast prompt function. The present invention prompts the driver to replenish the vehicle energy by voice broadcast, and the driver only needs to replenish the energy after hearing the voice broadcast, without worrying about the lack of energy in the middle. Moreover, this method can effectively avoid the situation that the driver misses the energy station or cannot drive to the service area on the highway due to the predicted insufficient mileage, thereby effectively avoiding the safety hazards of driving on the highway and effectively solving the energy anxiety of the driver. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] In order to more clearly illustrate the technical solution of the present invention, the accompanying drawings required for use in the description of the present invention will be briefly introduced below. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative labor.

[0035] Figure 1 is a flowchart of the steps of a voice prompt method for vehicle energy replenishment provided by some embodiments of the present invention;

[0036] Figure 2 is a schematic diagram of the structure of a vehicle system provided by some embodiments of the present invention;

[0037] Figure 3 It is a structural block diagram of a voice prompt device for vehicle energy replenishment provided by some embodiments of the present invention. DETAILED DESCRIPTION

[0038] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0039] Reference Figure 1, shows a flowchart of a method for voice prompting vehicle energy replenishment provided by some embodiments of the present invention, which may specifically include the following steps:

[0040] Step 101, obtaining a plurality of first driving routes of this trip, and obtaining a minimum value of the estimated energy consumption value of the trip based on the plurality of first driving routes.

[0041] In actual applications, before the start of this trip, the user will enter the starting address and the destination address in the navigation system. The navigation system obtains multiple driving routes for this trip based on the starting address and the destination address entered by the user, that is, multiple first driving routes for this trip. At this time, for the same starting address and the destination address, the estimated energy consumption values ​​of different routes may be different. Therefore, the estimated energy consumption values ​​of multiple driving routes can be obtained, and the minimum value among them is obtained, which is the minimum value of the estimated energy consumption value of this trip.

[0042] Among them, the energy value can be the amount of fuel or electricity, that is, the energy value estimated to be consumed in this trip can be the amount of fuel or electricity that the vehicle is estimated to consume in this trip, and the remaining energy value of the vehicle can be the current remaining amount of fuel or electricity of the vehicle.

[0043] In some embodiments of the present invention, obtaining the minimum value of the estimated energy consumption value of the current trip according to the multiple first driving routes includes:

[0044] Obtaining an estimated energy consumption value for each of the first driving routes based on the mileage information of each of the first driving routes, the driving habit data, and the usage of electronic appliances in the vehicle during driving; wherein the driving habit data is the behavioral characteristics of the driver during braking;

[0045] The minimum value of the estimated energy consumption value of the current trip is obtained from the multiple energy consumption values ​​estimated for the first driving routes.

[0046] As attached Figure 2 As shown, it is a structural schematic diagram of a vehicle system provided by some embodiments of the present invention. The vehicle system collects data from the in-vehicle electrical appliance usage data module, road condition data module, fuel level or power remaining module, driving habit data module and navigation data module to perform calculations and judgments in the vehicle system.

[0047] Among them, the in-vehicle electrical appliance usage data module can be provided by installing a power consumption collection module at each electrical appliance end of the vehicle (display screens, radios, speakers, etc.), providing a collection data to the software, and the software captures the power consumption usage data of each appliance and summarizes it, thereby obtaining the in-vehicle electrical appliance usage data; the road condition data module is used to collect data according to the itinerary or navigation software, mainly collecting the congestion and uphill and downhill conditions on the section to judge the overall road condition on the driving section; the fuel quantity or power remaining module is used to obtain the remaining capacity of the fuel tank or battery, which can be achieved by adding a real-time monitoring module to the fuel tank or battery pack; the driving habit data module is used to collect the driver's driving habits, acceleration and deceleration conditions, fuel consumption or power consumption for driving distance, etc. in the past month, to give an average fuel consumption / power consumption of the car; the navigation data module is used to read the distance to be traveled and the conditions of some gas stations or charging stations on the section in real time through the car navigation software or the navigation software.

[0048] In a specific implementation, when starting a new trip, multiple driving routes for this trip can be obtained through the navigation system, so that the estimated fuel or electricity consumption for each driving route can be obtained through the vehicle system, and the estimated minimum fuel or electricity consumption for this trip can be obtained therefrom, that is, from the multiple estimated fuel or electricity consumptions obtained from the vehicle system, the minimum value is obtained as the minimum value of the estimated fuel or electricity consumption for this trip, that is, the minimum fuel or electricity consumption for this trip is estimated to be consumed at least.

[0049] In some examples, assuming that the power value consumed by a driving route is k, the mileage information of the driving route may be the mileage between the starting address and the destination address of the driving route, and the corresponding power value required to be consumed is k1.

[0050] Driving habit data can be used to describe the driver's behavior during braking, such as braking force, braking energy recovery power and recovery time. The relationship between the driver's braking force and the power consumption of the braking system can be described by the following formula: E = k*F n , where E represents the amount of electricity consumed by the braking system, F represents the force with which the driver brakes, k and n are constants, and the specific index values ​​are obtained based on the driver's historical driving habits; or power consumption = braking energy recovery power × recovery time, where braking energy recovery power refers to the power of the vehicle converting kinetic energy into electrical energy through the electric motor during braking, and its size is proportional to the braking force, and recovery time refers to the time required for the vehicle to brake to a complete stop, where the driver's driving habits determine the recovery time and the size of the braking force for each braking, and the value is assumed to be k2.

[0051] The usage of electronic appliances in the vehicle can be the power consumption of different on-board electronic devices in the vehicle, which can be described by the following formula: total power consumption = air conditioning system power consumption + on-board entertainment system power consumption + auxiliary electric system power consumption + motor controller power consumption + battery management system power consumption, where the air conditioning system power consumption can be calculated by the rated power of the air conditioning system; the on-board entertainment system power consumption can be estimated based on factors such as screen size, resolution, and audio output; the auxiliary electric system power consumption includes the power consumption of equipment such as lights, wipers, and electric windows; the motor controller power consumption depends on the type of motor and the control algorithm; the battery management system power consumption includes the energy loss during battery charging and discharging. The specific value is determined by the driver's vehicle usage habits, assuming the value is k3.

[0052] The estimated power consumption of the driving route is k=k1+k2+k3.

[0053] Through the above method, the estimated power consumption values ​​corresponding to multiple driving routes can be obtained, and then the minimum value among the multiple estimated power consumption values ​​obtained can be obtained as the minimum value of the estimated power consumption value for this trip, that is, the minimum power value estimated to be consumed for this trip.

[0054] Step 102: when the remaining energy value of the vehicle is less than the minimum value, determine, from the plurality of first driving routes, a plurality of second driving routes corresponding to a plurality of energy stations along each of the first driving routes.

[0055] After obtaining the minimum estimated fuel or electricity consumption for this trip, that is, after obtaining the estimated minimum amount of fuel or electricity consumed for this trip, the vehicle's remaining fuel or electricity can be calculated through the vehicle system, and then it can be predicted whether the vehicle's remaining fuel or electricity can reach the destination.

[0056] If the current remaining fuel or power of the vehicle is less than the estimated minimum fuel or power that the vehicle will consume during this trip, that is, the current remaining fuel or power of the vehicle cannot reach the destination, refueling or charging is required along the way.

[0057] In actual applications, when refueling or charging is required on the way, there may be multiple gas stations or charging stations along each first driving route. If one gas station or charging station is selected for refueling or charging, the first driving route may be changed accordingly, and the first driving route after the corresponding change is the second driving route. Therefore, multiple second driving routes corresponding to multiple gas stations or charging stations can be determined based on the multiple gas stations or charging stations along each first driving route.

[0058] The first driving route may overlap with most of the multiple second driving routes, or may completely overlap with one or more of the multiple second driving routes.

[0059] Step 103: for each of the first driving routes, determine a target second driving route from the plurality of second driving routes, and determine a target driving route from the plurality of target second driving routes.

[0060] For each first driving route, an optimal second driving route is selected from the corresponding plurality of second driving routes as a target second driving route. The plurality of first driving routes correspond to a plurality of target second driving routes, and the target driving route is determined from the plurality of target second driving routes.

[0061] In some embodiments of the present invention, determining a target second driving route from the plurality of second driving routes for each of the first driving routes includes:

[0062] A first target inherent parameter group is determined from the inherent parameter groups corresponding to the plurality of second driving routes, and the second driving route corresponding to the first target inherent parameter group is determined as the target second driving route.

[0063] Specifically, each second driving route has a corresponding inherent parameter group, and multiple second driving routes correspond to multiple inherent parameter groups. The optimal inherent parameter group is determined from the multiple inherent parameter groups, that is, the first target inherent parameter group is determined, and the second driving route corresponding to the first target inherent parameter group is the optimal second driving route, that is, the target second driving route.

[0064] In some embodiments of the present invention, determining the first target inherent parameter group from the inherent parameter groups corresponding to the plurality of second driving routes includes:

[0065] Obtain constraint relationships for the inherent parameter groups, and determine a first target inherent parameter group from inherent parameter groups corresponding to a plurality of second driving routes based on the plurality of constraint relationships.

[0066] In some examples, a target planning mathematical model can be used to obtain multiple constraint relationships for the inherent parameter group, and then, based on the multiple constraint relationships, the inherent parameter group corresponding to the optimal value can be determined from the inherent parameter groups corresponding to the multiple second driving routes, that is, the first target inherent parameter group.

[0067] Among them, the general formula of the goal programming mathematical model is:

[0068]

[0069]

[0070] In this model, P1 refers to the first priority. Sometimes there may be multiple constraints with the first priority. lk - and W lk + is the weight coefficient of each target corresponding to the Pl priority factor, which is set manually or based on user needs. k is the expected target value of the kth target constraint, Cij is also the coefficient of the jth target of the ith constraint, X j is the jth constraint target, which is generally limited to be greater than or equal to 0. ij refers to the coefficient of the jth objective of the ith constraint, b i It is the constraint condition on the other side of the inequality or equation, such as: to keep the ratio of product A and product B as 1:2 as possible, then 2x1-x2+d - -d + =0.

[0071] The model has the following concepts:

[0072] (1)d + The difference that exceeds the target is called a positive deviation variable; d - is the difference that does not reach the target, called the negative deviation variable, where d + With d - At least one of them is 0, and the convention is as follows:

[0073] When the actual value exceeds the target value, there is - =0,d + >0;

[0074] When the actual value does not reach the target value, there is + =0,d - >0

[0075] When the actual value is consistent with the target value, d+ = 0, d- = 0;

[0076] (2) In the general formula of the model, the following conventions are used: Pl refers to the priority factor, such as:

[0077]

[0078] Among them, min z represents the objective function of the model. P1 represents the first priority, that is, the highest priority, P2 is the second priority, and P3 is the third priority.

[0079] When the goals are divided into different priorities, the high-priority goals are optimized first, and then the low-priority goals are optimized. k >>P k+1When the targets are at the same priority level, but the weight coefficients of the two targets are different, the two targets are optimized simultaneously, and the size of the weight coefficients is used to indicate the difference in the importance of the targets.

[0080] (3) In the general formula of the model, if we want the inequality to remain greater than or equal to , we minimize the negative deviation; if we want the inequality to remain less than or equal to , we minimize the positive deviation; if we want to maintain the equality, we minimize both the positive and negative deviations.

[0081] In some embodiments of the present invention, the inherent parameters in the inherent parameter group include: driving time, driving mileage, energy replenishment cost, and charging gun power; the multiple constraint relationships include multiple constraint conditions, and the multiple constraint conditions include: expected total energy, expected target time, expected energy replenishment cost, and expected charging gun power; wherein the expected total energy is the sum of the expected energy replenishment value and the remaining energy value of the vehicle.

[0082] In a specific implementation, the inherent parameter group may include four inherent parameters: driving time, driving mileage, energy replenishment cost, and charging gun power. There may be four constraint relationships obtained for the four inherent parameters, and the four constraint relationships may include four constraint conditions, which are the expected total energy, the expected target time, the expected energy replenishment cost, and the expected charging gun power. The expected total energy can be the sum of the charging power and the remaining power value of the vehicle, that is, the expected total energy is the sum of the expected energy replenishment value and the remaining energy value of the vehicle.

[0083] Among them, the expected target duration, expected energy replenishment cost and expected charging gun power can be set by the user himself.

[0084] In some examples, the following association information can be obtained based on four intrinsic parameters:

[0085] (1) The driving time is X1. The owner’s schedule information is obtained. If it takes time T to reach the destination, then T is the expected target time. If the driving time exceeds T, there is a negative deviation d. - , below T there is a positive deviation d + , and the driving time X1 corresponds to the power consumption Y1 of a target vehicle due to the driver’s driving habits and the use of electronic appliances, that is, X1→Y1.

[0086] (2) The mileage is X2, corresponding to a vehicle's power consumption Y2 based on the mileage, that is, X2→Y2.

[0087] (3) The charging cost is X3. The user can set an expected charging cost P, that is, the expected energy replenishment cost, by himself or herself or by obtaining the user's historical charging cost information. If it exceeds P, there will be a negative deviation, and if it is lower than P, there will be a positive deviation.

[0088] (4) The charging gun power is X4. An expected charging gun power W is set according to the target vehicle model or user. There is a negative deviation when the charging gun power is lower than W. At the same time, a charging gun power X4 corresponds to a charging time Z4 and a charging power Y4, that is, X4→Z4, X4→Y4, Z4+X1=T.

[0089] Furthermore, according to the association information obtained from the above inherent parameters, four constraint conditions are used to constrain the inherent parameters to obtain constraint relationships. The specific constraint relationships are as follows:

[0090] (1) We hope that the total amount of energy is sufficient to reach the destination. If there is a surplus, there is a positive deviation:

[0091]

[0092] (2) The driving time is expected to not exceed the expected target time:

[0093]

[0094] (3) The charging standard should not exceed the expected energy replenishment cost.

[0095]

[0096] (4) The charging gun power is expected to be no less than the expected charging gun power

[0097]

[0098] The above constraints have corresponding priorities, and the order of priority is: the expected target duration is the highest, the expected total energy is the second, and the expected energy replenishment fee has a higher priority than the expected charging gun power. If the vehicle has manually set the expected charging fee, that is, the expected energy replenishment fee, the expected energy replenishment fee has a higher priority than the expected charging gun power; if the vehicle has manually set the expected charging gun power, the expected energy replenishment fee has a lower priority than the expected charging gun power.

[0099] In some embodiments of the present invention, determining the first target inherent parameter group from the inherent parameter groups corresponding to the plurality of second driving routes according to the plurality of constraint relationships includes:

[0100] Sub-step 11, obtaining a corresponding target programming mathematical model through the plurality of constraint relationships;

[0101] Specifically, the corresponding target planning mathematical model can be obtained through the aforementioned four constraint relationships and the priorities corresponding to the constraint conditions in the constraint relationships. The corresponding model formula is:

[0102]

[0103] Sub-step 12, determining the first target inherent parameter group from the inherent parameter groups corresponding to the plurality of second driving routes through the target planning mathematical model.

[0104] In the above model formula, X, Y, and Z can be known from the association information obtained from the aforementioned inherent parameters that X, Y, and Z have a one-to-one correspondence. Then, the relevant codes for solving the target planning can be implemented with the help of platforms such as Excel, LINGO, MATLAB, and Python, and the values ​​of X1, X2, X3, and X4 can be solved as the optimal solution for the first route. The inherent parameter group corresponding to the optimal solution is the first target inherent parameter group.

[0105] In some embodiments of the present invention, determining the target driving route from the plurality of target second driving routes comprises:

[0106] A second target inherent parameter group is determined from the inherent parameter groups corresponding to the plurality of target second driving routes, and the target second driving route corresponding to the second target inherent parameter group is determined as the target driving route.

[0107] In a specific implementation, the first target inherent parameter groups of all first driving routes can be calculated in sequence through the above-mentioned method for obtaining the first target inherent parameter group, thereby obtaining multiple first target inherent parameter groups, and the optimal first target inherent parameter group is selected from them as the second target inherent parameter group. The target second driving route corresponding to the second target inherent parameter group is the target driving route.

[0108] Among them, the method of selecting the optimal first target inherent parameter group from multiple first target inherent parameter groups can be based on driving time, such as selecting the one with the shortest driving time as the optimal one, which is not limited by the present invention.

[0109] Step 104, during the driving process of the current trip, the user is prompted by a voice broadcast prompt function to drive along the target driving route to a corresponding energy station for energy replenishment.

[0110] In some embodiments of the present invention, during the driving process of the current trip, the user is prompted by a voice broadcast prompt function to drive to a corresponding energy station along the target driving route for energy replenishment, including:

[0111] During the driving process of this trip, when it is detected that the distance from the target driving route to the corresponding energy station is less than the preset distance, the voice broadcast prompt function prompts the user to drive to the corresponding energy station along the target driving route for energy replenishment.

[0112] In actual applications, a preset distance can be set in advance. When the vehicle is traveling on the target driving route, when the distance from the vehicle to the corresponding gas station or charging station through the target driving route is less than the preset distance, the vehicle's voice broadcast prompt function can be used to make real-time voice broadcasts to prompt the user to drive to the corresponding gas station or charging station along the target driving route for refueling or charging.

[0113] In the present invention, multiple first driving routes of this trip are obtained, and the minimum value of the estimated energy consumption value of this trip is obtained according to the multiple first driving routes. When the remaining energy value of the vehicle is less than the minimum value, multiple second driving routes corresponding to multiple energy stations along each of the first driving routes are determined from the multiple first driving routes. For each of the first driving routes, a target second driving route is determined from the multiple second driving routes, and a target driving route is determined from the multiple target second driving routes. During the driving process of this trip, the user is prompted to drive to the corresponding energy station according to the target driving route for energy replenishment through a voice broadcast prompt function. The present invention prompts the driver to replenish the vehicle energy by voice broadcast. The driver only needs to replenish the energy after hearing the voice broadcast, and does not need to worry about the lack of energy in the middle of the journey. Moreover, this method can effectively prevent the driver from missing the energy station due to insufficient predicted mileage, or from being unable to drive to the service area on the highway, thereby effectively avoiding the safety hazards of driving on the highway and effectively solving the driver's energy anxiety.

[0114] It should be noted that, for the sake of simplicity, the method embodiments are described as a series of action combinations, but those skilled in the art should be aware that the embodiments of the present invention are not limited by the order of the actions described, because according to the embodiments of the present invention, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions involved are not necessarily required by the embodiments of the present invention.

[0115] Reference Figure 3 , shows a structural block diagram of a voice prompt device for vehicle energy replenishment provided by some embodiments of the present invention, which may specifically include the following modules:

[0116] The energy consumption value acquisition module 301 is used to acquire multiple first driving routes of this trip, and acquire the minimum value of the estimated energy consumption value of this trip according to the multiple first driving routes;

[0117] The second driving route determining module 302 is used to determine, from the plurality of first driving routes, a plurality of second driving routes corresponding to a plurality of energy stations along each of the first driving routes when the remaining energy value of the vehicle is less than the minimum value;

[0118] a target driving route determining module 303, configured to determine a target second driving route from the plurality of second driving routes for each of the first driving routes, and determine a target driving route from the plurality of target second driving routes;

[0119] The voice broadcast module 304 is used to remind the user to drive to the corresponding energy station for energy replenishment according to the target driving route through the voice broadcast prompt function during the driving process of the current trip.

[0120] In some embodiments of the present invention, the energy consumption value acquisition module 301 includes:

[0121] an energy consumption value acquisition submodule, configured to acquire the estimated energy consumption value of each first driving route according to the mileage information of each first driving route, the driving habit data, and the usage of the electronic appliances in the vehicle during driving; wherein the driving habit data is the behavioral characteristics of the driver during braking;

[0122] The estimated energy consumption minimum value acquisition submodule is used to obtain the minimum value of the estimated energy consumption value of the current trip from the multiple energy consumption values ​​estimated for the first driving routes.

[0123] In some embodiments of the present invention, the target driving route determination module 303 includes:

[0124] The first target inherent parameter group determination submodule is used to determine a first target inherent parameter group from the inherent parameter groups corresponding to the plurality of second driving routes, and determine the second driving route corresponding to the first target inherent parameter group as the target second driving route.

[0125] In some embodiments of the present invention, the first target intrinsic parameter group determination submodule includes:

[0126] The constraint relationship acquisition unit is used to acquire the constraint relationship for the inherent parameter group, and determine a first target inherent parameter group from the inherent parameter groups corresponding to the plurality of second driving routes according to the plurality of constraint relationships.

[0127] In some embodiments of the present invention, the inherent parameters in the inherent parameter group include: driving time, driving mileage, energy replenishment cost, and charging gun power;

[0128] The multiple constraint relationships include multiple constraint conditions, including: expected total energy, expected target duration, expected energy replenishment cost and expected charging gun power; wherein the expected total energy is the sum of the expected energy replenishment value and the remaining energy value of the vehicle.

[0129] In some embodiments of the present invention, the constraint relationship acquisition unit includes:

[0130] A target programming mathematical model acquisition subunit is used to obtain a corresponding target programming mathematical model through the multiple constraint relationships;

[0131] The first target inherent parameter group determination subunit is used to determine the first target inherent parameter group from the inherent parameter groups corresponding to multiple second driving routes through the target planning mathematical model.

[0132] In some embodiments of the present invention, the voice broadcast module 304 includes:

[0133] The distance detection submodule is used to prompt the user to drive to the corresponding energy station along the target driving route for energy replenishment through the voice broadcast prompt function when it is detected that the distance from the target driving route to the corresponding energy station is less than a preset distance during the driving process of the current trip.

[0134] Some embodiments of the present invention also provide an electronic device, which may include a processor, a memory, and a computer program stored in the memory and capable of running on the processor, and when the computer program is executed by the processor, the above-mentioned vehicle automatic emergency braking control method is implemented.

[0135] Some embodiments of the present invention further provide a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the above-mentioned vehicle automatic emergency braking control method is implemented.

[0136] Some embodiments of the present invention further provide a computer program product, including a computer program, which implements the above vehicle automatic emergency braking control method when executed by a processor.

[0137] As for the device embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0138] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the various embodiments can be referenced to each other.

[0139] Those skilled in the art will appreciate that the embodiments of the present invention may be provided as methods, devices, or computer program products. Therefore, the embodiments of the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the embodiments of the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0140] The embodiments of the present invention are described with reference to the flowcharts and / or block diagrams of the methods, terminal devices (systems), and computer program products according to the embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of the processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing terminal device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing terminal device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0141] These computer program instructions may also be stored in a computer readable memory capable of directing a computer or other programmable data processing terminal device to operate in a specific manner, so that the instructions stored in the computer readable memory produce a manufactured product including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0142] These computer program instructions can also be loaded onto a computer or other programmable data processing terminal device so that a series of operating steps are executed on the computer or other programmable terminal device to produce a computer-implemented process, thereby providing instructions for executing on the computer or other programmable terminal device to implement the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0143] Although the preferred embodiments of the present invention have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the embodiments of the present invention.

[0144] Finally, it should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or terminal device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or terminal device. In the absence of further restrictions, the elements defined by the sentence "including one..." do not exclude the existence of other identical elements in the process, method, article or terminal device including the above elements.

[0145] The above is a detailed introduction to the control method, device, equipment and medium for automatic emergency braking of a vehicle. Specific examples are used in this article to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea. At the same time, for those skilled in the art, according to the idea of ​​the present invention, there will be changes in the specific implementation method and application scope. In summary, the content of this specification should not be understood as a limitation on the present invention.

Claims

1. A voice prompt method for vehicle energy replenishment, characterized in that: The method comprises: Acquire multiple first driving routes of the current trip, and acquire a minimum value of the estimated energy consumption value of the current trip according to the multiple first driving routes; When the remaining energy value of the vehicle is less than the minimum value, determining, from the plurality of first driving routes, a plurality of second driving routes corresponding to a plurality of energy stations along each of the first driving routes; For each of the first driving routes, determining a target second driving route from the plurality of second driving routes, and determining a target driving route from the plurality of target second driving routes; During the driving process of this trip, the user is prompted by the voice broadcast prompt function to drive to the corresponding energy station for energy replenishment according to the target driving route.

2. The method according to claim 1, characterized in that The obtaining, according to the plurality of first driving routes, a minimum value of the estimated energy consumption value of the current trip includes: Obtaining an estimated energy consumption value for each of the first driving routes based on the mileage information of each of the first driving routes, the driving habit data, and the usage of electronic appliances in the vehicle during driving; wherein the driving habit data is the behavioral characteristics of the driver during braking; The minimum value of the estimated energy consumption value of the current trip is obtained from the multiple energy consumption values ​​estimated for the first driving routes.

3. The method according to claim 1, characterized in that The step of determining a target second driving route from the plurality of second driving routes for each of the first driving routes comprises: A first target inherent parameter group is determined from the inherent parameter groups corresponding to the plurality of second driving routes, and the second driving route corresponding to the first target inherent parameter group is determined as the target second driving route.

4. The method according to claim 3, characterized in that: The step of determining a first target inherent parameter group from the inherent parameter groups corresponding to the plurality of second driving routes includes: Obtain constraint relationships for the inherent parameter groups, and determine a first target inherent parameter group from inherent parameter groups corresponding to a plurality of second driving routes based on the plurality of constraint relationships.

5. The method according to claim 4, characterized in that The inherent parameters in the inherent parameter group include: driving time, driving mileage, energy replenishment cost, and charging gun power; The multiple constraint relationships include multiple constraint conditions, including: expected total energy, expected target duration, expected energy replenishment cost and expected charging gun power; wherein the expected total energy is the sum of the expected energy replenishment value and the remaining energy value of the vehicle.

6. The method according to claim 4, characterized in that The step of determining a first target inherent parameter group from inherent parameter groups corresponding to a plurality of second driving routes according to the plurality of constraint relationships comprises: Obtaining a corresponding target programming mathematical model through the multiple constraint relationships; The first target inherent parameter group is determined from the inherent parameter groups corresponding to the plurality of second driving routes through the target planning mathematical model.

7. The method according to claim 1, characterized in that During the driving process of the trip, the user is prompted by a voice broadcast prompt function to drive to a corresponding energy station according to the target driving route for energy replenishment, including: During the driving process of this trip, when it is detected that the distance from the target driving route to the corresponding energy station is less than the preset distance, the voice broadcast prompt function prompts the user to drive to the corresponding energy station along the target driving route for energy replenishment.

8. A voice prompt device for vehicle energy replenishment, characterized in that: The device comprises: An energy consumption value acquisition module, used to acquire multiple first driving routes of this trip, and acquire a minimum value of the estimated energy consumption value of this trip according to the multiple first driving routes; A second driving route determination module, configured to determine, from the plurality of first driving routes, a plurality of second driving routes corresponding to a plurality of energy stations along each of the first driving routes when the remaining energy value of the vehicle is less than the minimum value; a target driving route determining module, configured to determine a target second driving route from the plurality of second driving routes for each of the first driving routes, and to determine a target driving route from the plurality of target second driving routes; The voice broadcast module is used to remind the user to drive to the corresponding energy station for energy replenishment along the target driving route through the voice broadcast prompt function during the driving process of the current trip.

9. An electronic device, characterized in that: The invention comprises a processor, a memory and a computer program stored in the memory and capable of running on the processor, wherein when the computer program is executed by the processor, the control method for automatic emergency braking of a vehicle as claimed in any one of claims 1 to 7 is implemented.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the control method for automatic emergency braking of a vehicle according to any one of claims 1 to 7 is implemented.

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