A parking control method and device, electronic equipment and storage medium

Abstract

The application discloses a parking control method and device, electronic equipment and a storage medium. The method comprises the following steps: obtaining a preset parking control influence factor of a vehicle, determining a clamping force adjustment amount and a release distance adjustment amount of the vehicle according to the preset parking control influence factor, and controlling a caliper motor of the vehicle to work according to the clamping force adjustment amount and the release distance adjustment amount. According to the embodiment of the application, the clamping force adjustment amount and the release distance adjustment amount of the corresponding vehicle are determined according to the preset parking control influence factor of the vehicle, and then the caliper motor of the vehicle is adaptively controlled to perform corresponding operation according to the clamping force adjustment amount and the release distance adjustment amount, so that the intelligence and accuracy of the parking control of the vehicle are realized, and the user experience and driving safety are improved.

Description

Technical Field

[0001] The present invention relates to the field of automobile control technology, and in particular to a parking control method, device, electronic equipment and storage medium. Background Art

[0002] With the continuous improvement of the intelligence level of the Electronic Park Brake (EPB) system, it is widely used in mid-to-high-end models to reduce driver operation and ensure vehicle parking safety.

[0003] The core control logic of the EPB system primarily involves two functions: static switch clamping and static switch release. Specifically, the EPB system implements parking control by controlling the clamping force during the clamping process and the release distance during the release process. Under existing technology, both the clamping force and the release distance are fixed within the control software, resulting in a lack of intelligent and precise parking control, poor user experience, and poor driving safety. Summary of the Invention

[0004] The present invention provides a parking control method, device, electronic device and storage medium, which determine the clamping force adjustment amount and release distance adjustment amount of the corresponding vehicle according to the vehicle's preset parking control influencing factor, and then adaptively control the vehicle's caliper motor to perform corresponding operations according to the clamping force adjustment amount and release distance adjustment amount, thereby realizing the intelligence and precision of the vehicle's parking control and improving user experience and driving safety.

[0005] According to one aspect of the present invention, a parking control method is provided, the method comprising:

[0006] Obtaining a preset parking control influencing factor of the vehicle;

[0007] determining a clamping force adjustment amount and a release distance adjustment amount of the vehicle according to a preset parking control influencing factor;

[0008] The vehicle's caliper motor is controlled according to the clamping force adjustment amount and the release distance adjustment amount.

[0009] According to another aspect of the present invention, a parking control device is provided, the device comprising:

[0010] An influence factor acquisition module, used to obtain a preset parking control influence factor of a vehicle;

[0011] An adjustment amount determination module, configured to determine a clamping force adjustment amount and a release distance adjustment amount of the vehicle according to a preset parking control influencing factor;

[0012] The caliper motor control module is used to control the operation of the vehicle's caliper motor according to the clamping force adjustment amount and the release distance adjustment amount.

[0013] According to another aspect of the present invention, an electronic device is provided, comprising:

[0014] at least one processor; and

[0015] a memory communicatively connected to the at least one processor; wherein,

[0016] The memory stores a computer program that can be executed by the at least one processor. The computer program is executed by the at least one processor so that the at least one processor can execute the parking control method according to any embodiment of the present invention.

[0017] According to another aspect of the present invention, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the parking control method according to any embodiment of the present invention when executed.

[0018] The technical solution of the embodiment of the present invention obtains the vehicle's preset parking control influence factor, determines the vehicle's clamping force adjustment amount and release distance adjustment amount based on the preset parking control influence factor, and controls the vehicle's caliper motor operation based on the clamping force adjustment amount and release distance adjustment amount. The embodiment of the present invention achieves intelligent and precise vehicle parking control by determining the corresponding vehicle's clamping force adjustment amount and release distance adjustment amount based on the vehicle's preset parking control influence factor, and then adaptively controls the vehicle's caliper motor to perform corresponding operations based on the clamping force adjustment amount and release distance adjustment amount. This improves user experience and driving safety.

[0019] It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present invention, nor is it intended to limit the scope of the present invention. Other features of the present invention will become readily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0021] Figure 1 This is a flowchart of a parking control method provided according to the first embodiment of the present invention;

[0022] Figure 2This is a flowchart of a parking control method provided according to a second embodiment of the present invention;

[0023] Figure 3 1 is a current curve diagram of a clamping process and a releasing process provided according to the third embodiment of the present invention;

[0024] Figure 4 is a flowchart of a parking control method provided according to a third embodiment of the present invention;

[0025] Figure 5 2 is a schematic structural diagram of a parking control device provided according to a fourth embodiment of the present invention;

[0026] Figure 6 2 is a schematic structural diagram of an electronic device for implementing the parking control method according to an embodiment of the present invention. DETAILED DESCRIPTION

[0027] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the embodiments described are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts should fall within the scope of protection of the present invention.

[0028] It should be noted that the terms "first", "second", etc. in the description and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that the numbers used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0029] Example 1

[0030] Figure 1 A flowchart of a parking control method is provided for the first embodiment of the present invention. This embodiment is applicable to the case of parking control of a vehicle. The method can be executed by a parking control device, which can be implemented in the form of hardware and / or software. The parking control device can be configured in an electronic device, for example, including but not limited to a vehicle-mounted device. Figure 1As shown, the parking control method provided in the first embodiment includes the following steps:

[0031] S110: Obtain a preset parking control influencing factor of the vehicle.

[0032] The preset parking control influencing factors may be understood as pre-configured influencing factors related to the parking control of the vehicle. The preset parking control influencing factors may at least include: a driver influencing factor, a vehicle condition influencing factor, and a driving environment influencing factor.

[0033] In an embodiment of the present invention, various on-board sensors, electronic control units (ECUs), on-board T-BOXs, on-board instruments, and other devices can be controlled during vehicle driving to collect various driving data of the current vehicle through a vehicle communication network such as CAN and LIN or hard lines, and then a preset parking control influencing factor can be determined based on the driving data. The preset parking control influencing factor can include at least a driver influencing factor, a vehicle condition influencing factor, and a driving environment influencing factor. Specifically, the preset parking control influencing factor of the vehicle can be obtained by determining the driver influencing factor in the preset parking control influencing factor based on driving data such as vehicle speed, lateral / longitudinal acceleration, drive pedal opening, and brake pedal opening; determining the vehicle condition influencing factor in the preset parking control influencing factor based on driving data such as brake disc surface roughness, tire pressure, and single-sided caliper fault status; and determining the driving environment influencing factor in the preset parking control influencing factor based on driving data such as vehicle ambient temperature, vehicle ambient humidity, and road slope.

[0034] It is understood that the preset parking control influence factor may include all of the aforementioned dimensional information, only some of the aforementioned dimensional information, or even more dimensional information, and this is not limited in this embodiment of the present invention. Accordingly, the specific method for determining the preset parking control influence factor is not limited to the above-described method, and this specific determination method is not limited in this embodiment of the present invention.

[0035] S120 : Determine a clamping force adjustment amount and a release distance adjustment amount of the vehicle according to a preset parking control influencing factor.

[0036] The clamping force adjustment amount may be an adaptive clamping force adjustment amount determined according to a preset parking control influencing factor, and the release distance adjustment amount may be an adaptive release distance adjustment amount determined according to a preset parking control influencing factor.

[0037] In the embodiments of the present application, after the preset parking control influence factors of the vehicle are obtained, the clamping force adjustment amount and the release distance adjustment amount of the vehicle can be determined by using the following methods, but not limited to the following methods: the obtained preset parking control influence factors can be input into a deep learning network model that has been trained, and the output result of the model can be used as the clamping force adjustment amount and the release distance adjustment amount of the vehicle; or the corresponding weights and specific adjustment values in the adjustment range corresponding to each preset parking control influence factor can be found in a data table in a local database or a cloud database of the vehicle, and the clamping force adjustment amount and the release distance adjustment amount of the vehicle can be determined according to the weighted sum of each weight and the corresponding adjustment value; or the clamping force adjustment amount and the release distance adjustment amount of the vehicle can be determined by using pre-configured clamping force calculation formula and release distance calculation formula.

[0038] Further, after the clamping force adjustment amount and the release distance adjustment amount of the vehicle are determined, the above data and the corresponding time stamp can be stored in the data storage unit, so that when there is a parking demand and / or a release demand, the caliper motor of the vehicle can be adaptively adjusted and controlled by using the time stamp stored in the data storage unit as the latest clamping force adjustment amount and / or release distance adjustment amount.

[0039] S130, control the work of the caliper motor of the vehicle according to the clamping force adjustment amount and the release distance adjustment amount.

[0040] In the embodiments of the present application, when there is a parking demand and / or a release demand, the work of the caliper motor of the vehicle can be adaptively adjusted and controlled according to the clamping force adjustment amount and / or the release distance. Specifically, the way to control the work of the caliper motor of the vehicle according to the clamping force adjustment amount and the release distance adjustment amount can be: when the vehicle receives an instruction of a user parking demand, the control parameters related to the clamping process can be adjusted according to the determined clamping force adjustment amount, so that the caliper motor controls the brake block to tightly adhere to the brake disc according to the clamping force adjustment amount; or the way can be: when the vehicle receives an instruction of a user release demand, the control parameters related to the release process can be adjusted according to the determined release distance adjustment amount, so that the caliper motor controls the brake block to separate from the brake disc according to the release distance adjustment amount.

[0041] The technical solution of the embodiment of the present invention obtains the vehicle's preset parking control influence factor, determines the vehicle's clamping force adjustment amount and release distance adjustment amount based on the preset parking control influence factor, and controls the vehicle's caliper motor operation based on the clamping force adjustment amount and release distance adjustment amount. The embodiment of the present invention achieves intelligent and precise vehicle parking control by determining the corresponding vehicle's clamping force adjustment amount and release distance adjustment amount based on the vehicle's preset parking control influence factor, and then adaptively controls the vehicle's caliper motor to perform corresponding operations based on the clamping force adjustment amount and release distance adjustment amount. This improves user experience and driving safety.

[0042] Example 2

[0043] Figure 2 This is a flowchart of a parking control method provided in the second embodiment of the present invention, which is further optimized and expanded based on the above embodiment and can be combined with various optional technical solutions in the above embodiment. Figure 2 As shown, the second embodiment provides a parking control method, which specifically includes the following steps:

[0044] S210: Acquire driving data of the current vehicle using an onboard sensor, and determine a preset parking control influencing factor based on the driving data.

[0045] The on-board sensors may refer to sensor devices used to obtain driving data of the current vehicle. The on-board sensors may include at least a temperature sensor, a humidity sensor, and a slope sensor. The driving data may include at least vehicle speed, lateral / longitudinal acceleration, drive pedal opening, brake pedal opening, brake disc surface roughness, tire pressure, single-side caliper fault status, vehicle ambient temperature, vehicle ambient humidity, road slope, etc. The preset parking control influencing factors may include at least a driver influencing factor, a vehicle condition influencing factor, and a driving environment influencing factor. The driver influencing factor may refer to an influencing factor related to the driver and may include at least the driver's driving style, such as conservative, average, and aggressive. The vehicle condition influencing factor may refer to an influencing factor related to the current vehicle state and may include at least brake disc surface roughness, tire pressure, single-side caliper fault status, etc. The driving environment influencing factor may refer to an influencing factor related to the current vehicle driving environment and may include at least the vehicle ambient temperature, vehicle ambient humidity, and road slope, etc.

[0046] In an embodiment of the present invention, the on-board sensors can be controlled to obtain the current vehicle driving data through vehicle communication networks such as CAN and LIN or hard lines during the vehicle's driving process, and then the preset parking control influencing factors can be determined based on the driving data, wherein the preset parking control influencing factors can at least include: driver influencing factors, vehicle condition influencing factors, driving environment influencing factors, etc. The driver influencing factors can at least include: driver driving style; the vehicle condition influencing factors can at least include: brake disc surface roughness, tire pressure, unilateral caliper fault status; the driving environment influencing factors can at least include: vehicle ambient temperature, vehicle ambient humidity, and driving road slope. Specifically, the preset parking control influencing factor can be determined based on driving data by: using driving data that can distinguish driver styles, such as vehicle speed, lateral / longitudinal acceleration, drive pedal opening, and brake pedal opening, and then performing cluster analysis on the driving data using clustering algorithms such as partitioning clustering, hierarchical clustering, and fuzzy clustering. The center point obtained from the clustering is compared with a preset standard center point to determine which type of driving style standard center point is closest to the center point obtained from the clustering, thereby determining whether the driver's driving style is conservative, average, or aggressive. Based on driving data such as brake disc surface roughness, tire pressure, and single-sided caliper fault status, the brake disc surface roughness is determined to be normal, smooth, or rough; the tire pressure is determined to be normal or high; and the single-sided caliper fault status is determined to be normal or faulty. Based on driving data such as vehicle ambient temperature, vehicle ambient humidity, and road slope, the vehicle ambient temperature is determined to be normal, high, or low; the vehicle ambient humidity is determined to be normal, high, or low; and the road slope is determined to be normal or high.

[0047] It is understandable that the specific method of determining the preset parking control influencing factor is not limited to using the above-mentioned vehicle-mounted sensor, and the specific determination method is not limited in this embodiment of the present invention.

[0048] S220 , searching a preset weight coefficient table for a preset clamping force weight, a preset clamping force adjustment range, a preset release distance weight, and a preset release distance adjustment range corresponding to a preset parking control influencing factor.

[0049] Among them, the preset weight coefficient table can refer to a pre-configured data table for determining the weights and adjustment ranges corresponding to the parking control influencing factors. The preset weight coefficient table may include parameter information such as the preset clamping force weight, preset clamping force adjustment range, preset release distance weight, and preset release distance adjustment range corresponding to each preset parking control influencing factor. The preset clamping force weight can refer to a weight parameter used to characterize the degree of influence of the clamping force on the clamping process. The preset clamping force weight can refer to a weight parameter used to characterize the degree of influence of the release distance on the release process. Generally, the higher the degree of influence on the clamping force and release distance, the greater the corresponding preset clamping force weight and preset release distance weight. The preset clamping force adjustment range and the preset release distance adjustment range can refer to the pre-configured adjustment ranges for the clamping force and release distance, respectively. The preset clamping force adjustment range and the preset release distance adjustment range can correspond to one or more clamping force adjustment values ​​and release distance adjustment values, respectively.

[0050] In an embodiment of the present invention, one or more preset weight coefficient tables can be pre-configured on an electronic device, and then the corresponding preset clamping force weight, preset clamping force adjustment range, preset release distance weight and preset release distance adjustment range can be searched in the preset weight coefficient table using a determined preset parking control influence factor based on data matching algorithms such as string matching and fuzzy matching. Among them, a preset parking control influence factor can correspond to the associated preset clamping force weight, preset clamping force adjustment range, preset release distance weight and preset release distance adjustment range, respectively, or can only correspond to the associated preset clamping force weight and preset clamping force adjustment range, or can only correspond to the associated preset release distance weight and preset release distance adjustment range. The embodiment of the present invention does not limit this. It is worth noting that there is no definite correlation between the preset clamping force adjustment range and the size of the preset clamping force weight. For example, the preset clamping force weights corresponding to different preset parking control influencing factors are the same, but their corresponding clamping force adjustment ranges may be different. Similarly, there is no definite correlation between the preset release distance adjustment range and the size of the preset release distance weight. The preset clamping force weights, preset clamping force adjustment ranges, preset release distance weights and preset release distance adjustment ranges corresponding to the above-mentioned preset parking control influencing factors can be configured accordingly according to actual conditions, and the embodiments of the present invention do not limit this.

[0051] Furthermore, based on the above-mentioned embodiment of the invention, the parameter information in the preset weight coefficient table in S220 may at least include:

[0052] The driver's driving style corresponds to a first preset clamping force weight of 10%, and the first preset clamping force adjustment range is {-2000, 0, 2000};

[0053] The second preset clamping force weight corresponding to the brake disc surface roughness is 15%, and the second preset clamping force adjustment range is {-4000, 0, 4000};

[0054] Tire pressure, corresponding to the third preset clamping force weight of 5%, and the third preset clamping force adjustment range is {0,5000};

[0055] In the unilateral caliper fault state, the corresponding fourth preset clamping force weight is 40%, and the fourth preset clamping force adjustment range is {0, 20000};

[0056] Vehicle ambient temperature, corresponding to the fifth preset clamping force weight of 5%, the fifth preset clamping force adjustment range is {-3000, 0, 3000};

[0057] Vehicle ambient humidity, corresponding to the sixth preset clamping force weight of 5%, and the sixth preset clamping force adjustment range is {-3000, 0, 3000};

[0058] The seventh preset clamping force weight corresponding to the driving road slope is 20%, and the seventh preset clamping force adjustment range is {0,10000};

[0059] The driver's driving style corresponds to a first preset release distance weight of 40%, and the first preset release distance adjustment range is {-0.2, 0, 0.2};

[0060] The surface roughness of the brake disc corresponds to a second preset release distance weight of 60%, and the adjustment range of the second preset release distance is {-0.3, 0, 0.3}.

[0061] It can be understood that the specific expression of the preset clamping force adjustment range and the preset release distance adjustment range can be a finite set (as shown above) or a set represented by a function. For example, for the driver's driving style in the preset parking control influencing factor, the corresponding preset clamping force adjustment range can be a finite set {-2000, 0, 2000}, and the preset release distance adjustment range can be a finite set {-0.2, 0, 0.2}, that is, if the driving style is conservative, the corresponding clamping force adjustment value and release distance adjustment value are -2000 Newtons and -0.2 mm respectively; if the driving style is general, the corresponding clamping force adjustment value and release distance adjustment value are 0 Newtons and 0 mm respectively; if the driving style is aggressive, the corresponding clamping force adjustment value and release distance adjustment value are 2000 Newtons and 0.2 mm respectively; for another example, for the vehicle ambient temperature in the preset parking control influencing factor, the corresponding preset clamping force adjustment range can be a set of positively correlated linear functions, that is, there can be a certain functional relationship between the vehicle ambient temperature and the adjustment value in the preset clamping force adjustment range. In summary, the embodiments of the present invention do not limit the specific expressions of the preset clamping force adjustment range and the preset release distance adjustment range.

[0062] S230: Determine the sum of the products of each preset clamping force weight and the corresponding clamping force adjustment value in the preset clamping force adjustment range, and use the sum of the products and the preset normal clamping force as the clamping force adjustment amount.

[0063] The preset normal clamping force may refer to a pre-configured normal clamping force, and the preset normal clamping force may be set to 5000 Newtons or 6000 Newtons, etc.

[0064] In an embodiment of the present invention, a weighted summation result can be determined based on each preset clamping force weight and the corresponding clamping force adjustment value in the preset clamping force adjustment range, and then the sum of the weighted summation result and the preset normal clamping force is used as the clamping force adjustment amount. For example, if the preset clamping force weights are W1, W2, and W3, respectively, and the corresponding clamping force adjustment values ​​in the preset clamping force adjustment range are V1, V2, and V3, respectively, and the preset normal clamping force is F Normal , then the clamping force adjustment amount = W1×V1+W2×V2+W3×V3+F Normal .

[0065] S240: Determine the sum of the products of each preset release distance weight and the corresponding release distance adjustment value in the preset release distance adjustment range, and use the sum of the products and the preset normal release distance as the release distance adjustment amount.

[0066] The preset normal release distance may refer to a pre-configured normal release distance, and the preset normal release distance may be set to 0.5 mm or 0.6 mm, etc.

[0067] In the embodiment of the present invention, the clamping force adjustment amount determination process in S230 may be referred to, and the corresponding release distance adjustment amount may be determined in the same manner. The specific determination process will not be repeated here.

[0068] Furthermore, based on the above-mentioned embodiments of the invention, a parking control method provided in the second embodiment further includes: storing the determined vehicle clamping force adjustment amount, release distance adjustment amount and corresponding timestamp in a data storage unit at every preset period.

[0069] In an embodiment of the present invention, the clamping force adjustment amount, release distance adjustment amount and corresponding timestamp of the current vehicle determined in S210 to S240 can be stored in a data storage unit at preset intervals (for example, not limited to 2 seconds or 5 seconds, etc.) during the driving process of the vehicle, wherein the data storage unit can be configured in the vehicle's system memory and / or external memory, etc., and the embodiment of the present invention does not limit this.

[0070] S250. When parking is required, the data storage unit is searched for the clamping force adjustment amount corresponding to the latest timestamp, and the clamping control parameters of the control software are adjusted according to the clamping force adjustment amount, so that the caliper motor controls the brake pad to fit the brake disc.

[0071] The control software may refer to software used to control the EPB system. For example, the control software may not be limited to caliper motor control software (Parking Brake Controller, PBC). The clamping control parameters may refer to relevant parameters used by the control software to control the clamping process. The clamping control parameters may include at least the clamping force.

[0072] In an embodiment of the present invention, when the vehicle receives an instruction from the user to park, the clamping force adjustment amount corresponding to the latest timestamp can be searched in the data storage unit, and then the clamping control parameters related to the clamping process in the control software can be adjusted according to the clamping force adjustment amount, so that the caliper motor controls the brake pad and the brake disc to fit tightly according to the clamping force adjustment amount.

[0073] S260: When there is a release requirement, search the data storage unit for a release distance adjustment value corresponding to the latest timestamp, and adjust the release control parameters of the control software according to the release distance adjustment value, so that the caliper motor controls the brake pad to separate from the brake disc.

[0074] The release control parameters may refer to relevant parameters used by the control software to control the release process, and the release control parameters may at least include the release distance.

[0075] In an embodiment of the present invention, when the vehicle receives an instruction from the user to release the vehicle, the release distance adjustment amount corresponding to the latest timestamp can be searched in the data storage unit, and then the release control parameters related to the release process in the control software can be adjusted according to the release distance adjustment amount, so that the caliper motor controls the separation of the brake pad and the brake disc according to the release distance adjustment amount.

[0076] The technical solution of the embodiment of the present invention is to obtain the driving data of the current vehicle by using the on-board sensor, determine the preset parking control influence factor according to the driving data, search the preset clamping force weight, preset clamping force adjustment range, preset release distance weight and preset release distance adjustment range corresponding to the preset parking control influence factor in the preset weight coefficient table, determine the sum of the products of each preset clamping force weight and the clamping force adjustment value in the corresponding preset clamping force adjustment range, use the sum of the products and the preset normal clamping force as the clamping force adjustment amount, determine the sum of each preset release distance weight and the corresponding preset release distance The sum of the products of the release distance adjustment values ​​within the adjustment range is used as the release distance adjustment value. When parking is required, the data storage unit is searched for the clamping force adjustment value corresponding to the latest timestamp, and the clamping control parameters of the control software are adjusted according to the clamping force adjustment value, so that the caliper motor controls the brake pad to engage with the brake disc. When release is required, the data storage unit is searched for the release distance adjustment value corresponding to the latest timestamp, and the release control parameters of the control software are adjusted according to the release distance adjustment value, so that the caliper motor controls the brake pad to separate from the brake disc. In this embodiment of the present invention, a preset clamping force weight, a preset clamping force adjustment range, a preset release distance weight, and a preset release distance adjustment range corresponding to a preset parking control influencing factor are searched in a preset weight coefficient table to determine the adaptively adjusted clamping force adjustment value and release distance adjustment value. Finally, the control parameters of the control software are adjusted according to the clamping force adjustment value and the release distance adjustment value, so that the caliper motor performs the corresponding operation, thereby realizing intelligent and accurate vehicle parking control and effectively improving user experience and driving safety.

[0077] Example 3

[0078] Figure 3 This is a current curve diagram of a clamping process and a releasing process provided by the third embodiment of the present invention. Figure 3As shown, the parking control based on EPB includes two parts: clamping process and releasing process. Among them, the clamping process is divided into four processes: starting section, no-load section, loading section and stopping section. It is mainly controlled according to the current of the driving motor. The core goal is to control the caliper to reach the predetermined clamping force in the loading section according to the motor current (the current has a fixed proportional relationship with the actual clamping force); the release process is divided into starting section, unloading section, no-load section and stopping section. It is mainly controlled according to the current of the driving motor and the motor operating stroke. The core goal is to control the brake pad and the brake disc to reach the predetermined release distance, that is, the separation gap, in the no-load section according to the motor operating stroke (the motor operating stroke has a fixed proportional relationship with the linear displacement of the brake pad).

[0079] Under existing technology, the clamping force during the clamping process and the release distance during the release process are fixed within the control software and do not change with factors such as the vehicle's operating environment and the driver's operating habits. This can lead to the following problems: If the initial clamping force is too low, it can easily lead to the risk of vehicle slippage under certain operating conditions; if the initial clamping force is too high, the clamping time will be prolonged and the vehicle's energy consumption will increase; if the initial release distance is too low, it can easily lead to caliper drag torque under certain operating conditions; if the initial release distance is too high, the release time will be prolonged and the parking control response will be slow.

[0080] Based on the above defects, Figure 4 This is a flowchart of a parking control method provided in Example 3 of the present invention. Based on the above examples, this example provides an implementation of a parking control method that can adaptively adjust the clamping force adjustment amount during the clamping process and the release distance adjustment amount during the release process based on factors such as the vehicle's current usage environment and the driver's operating habits, thereby achieving intelligent and precise parking control based on the EPB system. Figure 4 As shown, a parking control method provided by the third embodiment of the present invention specifically includes the following steps:

[0081] S310: Acquire the driving data of the current vehicle.

[0082] S320: Determine a preset parking control influencing factor based on the driving data.

[0083] In an embodiment of the present invention, the preset parking control influencing factors may include: driver's driving style, brake disc surface roughness, tire pressure, unilateral caliper fault status, vehicle ambient temperature, vehicle ambient humidity, and driving road slope.

[0084] Specifically, the process of identifying the influencing factors of the preset parking control is mainly based on the driver's driving style, brake disc surface roughness, tire pressure, unilateral caliper fault status, vehicle ambient temperature, vehicle ambient humidity and driving road slope, and determining the impact of each influencing factor on the clamping force and release distance, as shown in the following table.

[0085]

[0086] S330 , performing coefficient weighted arbitration according to preset parking control influencing factors to determine corresponding weights and adjustment ranges, and further determining a clamping force adjustment amount and a release distance adjustment amount after adaptive adjustment.

[0087] In an embodiment of the present invention, coefficient weighted arbitration includes two parts: clamping force weighted arbitration and release distance weighted arbitration. The coefficient arbitration process is used to determine the weights and adjustment ranges corresponding to the preset parking control influencing factors, wherein the weights include the preset clamping force weights and the preset release distance weights, and the adjustment ranges include the preset clamping force adjustment ranges and the preset release distance adjustment ranges. Generally speaking, the weights and adjustment ranges of the factors that have a more critical impact on the clamping force and release distance will be larger. The unit of clamping force is Newton (N), and the unit of release distance is millimeter (mm).

[0088] Specifically, the weight and adjustment range corresponding to each preset parking control influencing factor can be determined by querying the following table.

[0089]

[0090] Based on the above table, the clamping force is adaptively adjusted based on the weights and adjustment ranges of the preset parking control influencing factors, based on a normal clamping force of 5000 N, to obtain the corresponding clamping force adjustment. The specific calculation process for the clamping force adjustment is as follows: Assuming a conservative driving style, a flat brake disc surface roughness, high tire pressure, a normal unilateral caliper fault, low vehicle ambient temperature, high vehicle ambient humidity, and a normal road slope, the adaptively adjusted clamping force adjustment is: 10% × 2000 + 15% × 4000 + 5% × 5000 + 40% × 0 + 5% × (-3000) + 5% × 3000 + 20% × 0 + 5000 = 6050 (N).

[0091] Similarly, based on the normal release distance of 0.5mm, the release distance is adaptively adjusted according to the weights and adjustment ranges of the preset parking control influencing factors to obtain the corresponding release distance adjustment amount. The calculation process for the release distance adjustment amount is the same as that for the clamping force adjustment amount and will not be repeated here.

[0092] Furthermore, during the driving process of the vehicle, the clamping force adjustment amount, release distance adjustment amount and corresponding timestamp of the current vehicle can be determined at preset intervals (for example, not limited to 2 seconds or 5 seconds, etc.), and the above data can be stored in the data storage unit.

[0093] S340: Control the operation of the vehicle's caliper motor according to the clamping force adjustment amount and the release distance adjustment amount.

[0094] Specifically, when parking is required, the data storage unit searches for the latest timestamp corresponding to the clamping force adjustment. The control software's clamping control parameters are adjusted accordingly, causing the caliper motor to control the brake pads and disc to engage. When releasing is required, the data storage unit searches for the latest timestamp corresponding to the release distance adjustment. The control software's release control parameters are adjusted accordingly, causing the caliper motor to control the brake pads and disc to separate. By adaptively adjusting the clamping force adjustment and release distance, intelligent and precise parking control is achieved within the EPB system.

[0095] The technical solution of the embodiment of the present invention obtains the driving data of the current vehicle, determines the preset parking control influencing factor based on the driving data, performs coefficient weighted arbitration based on the preset parking control influencing factor to determine the corresponding weight and adjustment range, and then determines the clamping force adjustment amount and release distance adjustment amount after adaptive adjustment, and controls the operation of the vehicle's caliper motor according to the clamping force adjustment amount and the release distance adjustment amount. The embodiment of the present invention determines a preset parking control influencing factor based on the vehicle's driving data, and then determines the clamping force adjustment amount and release distance adjustment amount of the corresponding vehicle based on the preset parking control influencing factor, and then adaptively controls the vehicle's caliper motor to perform corresponding operations according to the clamping force adjustment amount and the release distance adjustment amount. It can comprehensively consider the influence of the use process of the parking caliper according to various factors such as the vehicle's driving environment and the driver's style, and adaptively adjust the clamping force and release distance in the parking control process to adapt to diverse vehicle usage environments, improve the level of intelligence and precise control, and improve user experience and driving safety. At the same time, based on the coefficient weighted arbitration scheme of different preset parking control influencing factors, the adjustment process can be refined and fine-grained, thereby ensuring the rationality and smoothness of the adaptive adjustment process, and further improving the user experience.

[0096] Example 4

[0097] Figure 5 This is a schematic diagram of the structure of a parking control device provided by the fourth embodiment of the present invention. Figure 5 As shown, the device includes:

[0098] The influence factor acquisition module 41 is used to obtain a preset parking control influence factor of the vehicle.

[0099] The adjustment amount determination module 42 is configured to determine a clamping force adjustment amount and a release distance adjustment amount of the vehicle according to a preset parking control influencing factor.

[0100] The caliper motor control module 43 is used to control the operation of the vehicle's caliper motor according to the clamping force adjustment amount and the release distance adjustment amount.

[0101] The technical solution of the embodiments of the present invention utilizes an influence factor acquisition module to obtain a vehicle's preset parking control influence factor. An adjustment amount determination module determines the vehicle's clamping force adjustment amount and release distance adjustment amount based on the preset parking control influence factor. A caliper motor control module controls the operation of the vehicle's caliper motor based on the clamping force adjustment amount and release distance adjustment amount. By determining the corresponding clamping force adjustment amount and release distance adjustment amount based on the vehicle's preset parking control influence factor, and then adaptively controlling the vehicle's caliper motor to perform corresponding operations based on the clamping force adjustment amount and release distance adjustment amount, the embodiments of the present invention achieve intelligent and precise parking control for the vehicle, improving user experience and driving safety.

[0102] Furthermore, based on the above-mentioned embodiment of the invention, the impact factor acquisition module 41 includes:

[0103] The driving data acquisition unit is used to obtain the driving data of the current vehicle using the on-board sensors and determine the preset parking control influencing factor according to the driving data, wherein the on-board sensors include at least: a temperature sensor, a humidity sensor, and a slope sensor.

[0104] Furthermore, based on the above-mentioned embodiment of the invention, the adjustment amount determination module 42 includes:

[0105] The data search unit is used to search the preset clamping force weight, the preset clamping force adjustment range, the preset release distance weight and the preset release distance adjustment range corresponding to the preset parking control influencing factor in the preset weight coefficient table.

[0106] The clamping force adjustment amount determination unit is used to determine the sum of the products of each preset clamping force weight and the clamping force adjustment value in the corresponding preset clamping force adjustment range, and use the sum of the products and the preset normal clamping force as the clamping force adjustment amount.

[0107] The release distance adjustment amount determination unit is used to determine the sum of the products of each preset release distance weight and the corresponding release distance adjustment value in the preset release distance adjustment range, and use the sum of the products and the preset normal release distance as the release distance adjustment amount.

[0108] Further, on the basis of the above-mentioned embodiments of the application, the preset parking control influence factor at least includes: driver influence factor, vehicle condition influence factor, driving environment influence factor, wherein the driver influence factor at least includes: driver driving style, the vehicle condition influence factor at least includes: brake disc surface roughness, tire air pressure, single-side caliper fault state, and the driving environment influence factor at least includes: vehicle environment temperature, vehicle environment humidity, and driving road slope.

[0109] Further, on the basis of the above-mentioned embodiments of the application, the parameter information in the preset weight coefficient table at least includes:

[0110] The driver driving style of the preset parking control influence factor corresponds to a first preset clamping force weight of 10%, and a first preset clamping force adjustment range of {-2000, 0, 2000};

[0111] The brake disc surface roughness of the preset parking control influence factor corresponds to a second preset clamping force weight of 15%, and a second preset clamping force adjustment range of {-4000, 0, 4000};

[0112] The tire air pressure of the preset parking control influence factor corresponds to a third preset clamping force weight of 5%, and a third preset clamping force adjustment range of {0, 5000};

[0113] The single-side caliper fault state of the preset parking control influence factor corresponds to a fourth preset clamping force weight of 40%, and a fourth preset clamping force adjustment range of {0, 20000};

[0114] The vehicle environment temperature of the preset parking control influence factor corresponds to a fifth preset clamping force weight of 5%, and a fifth preset clamping force adjustment range of {-3000, 0, 3000};

[0115] The vehicle environment humidity of the preset parking control influence factor corresponds to a sixth preset clamping force weight of 5%, and a sixth preset clamping force adjustment range of {-3000, 0, 3000};

[0116] The driving road slope of the preset parking control influence factor corresponds to a seventh preset clamping force weight of 20%, and a seventh preset clamping force adjustment range of {0, 10000};

[0117] The driver driving style of the preset parking control influence factor corresponds to a first preset release distance weight of 40%, and a first preset release distance adjustment range of {-0.2, 0, 0.2};

[0118] The brake disc surface roughness of the preset parking control influence factor corresponds to a second preset release distance weight of 60%, and a second preset release distance adjustment range of {-0.3, 0, 0.3}.

[0119] Further, on the basis of the above-mentioned embodiments of the application, the parking control device further comprises:

[0120] A data storage module is configured to store the determined clamping force adjustment amount, the release distance adjustment amount and the corresponding time stamp into a data storage unit every interval preset period.

[0121] Further, on the basis of the above-mentioned embodiments of the application, the caliper motor control module 43 comprises at least one of:

[0122] A parking adjustment unit is configured to, when there is a parking demand, find the clamping force adjustment amount corresponding to the latest time stamp in the data storage unit, and adjust the clamping control parameter of the control software according to the clamping force adjustment amount, so as to make the caliper motor control brake block adhere to the brake disc.

[0123] A release adjustment unit is configured to, when there is a release demand, find the release distance adjustment amount corresponding to the latest time stamp in the data storage unit, and adjust the release control parameter of the control software according to the release distance adjustment amount, so as to make the caliper motor control brake block separate from the brake disc.

[0124] The parking control device provided by the embodiments of the application can execute the parking control method provided by any of the embodiments of the application, and has the corresponding function modules and beneficial effects of the execution method.

[0125] Embodiment five

[0126] Figure 6 A structural schematic diagram of an electronic device 50 that can be used to implement embodiments of the application is shown. The electronic device is intended to represent various forms of digital computers, such as laptops, desktops, tablets, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device can also represent various forms of mobile devices, such as personal digital processors, cellular telephones, smart phones, wearable devices (e.g., headsets, glasses, watches, etc.), and other similar computing devices. The components shown here, their connections and relationships, and their functions, are meant to be examples only, and are not intended to limit the implementations of the applications described and / or claimed in this document.

[0127] As Figure 6As shown, the electronic device 50 includes at least one processor 51 and a memory, such as a read-only memory (ROM) 52, a random access memory (RAM) 53, etc., which is communicatively connected to the at least one processor 51. The memory stores a computer program that can be executed by the at least one processor. The processor 51 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 52 or the computer program loaded from the storage unit 58 into the random access memory (RAM) 53. Various programs and data required for the operation of the electronic device 50 can also be stored in the RAM 53. The processor 51, ROM 52, and RAM 53 are connected to each other via a bus 54. An input / output (I / O) interface 55 is also connected to the bus 54.

[0128] Multiple components in the electronic device 50 are connected to the I / O interface 55, including an input unit 56, such as a keyboard, a mouse, etc.; an output unit 57, such as various types of displays, speakers, etc.; a storage unit 58, such as a magnetic disk, an optical disk, etc.; and a communication unit 59, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 59 allows the electronic device 50 to exchange information / data with other devices via a computer network such as the Internet and / or various telecommunication networks.

[0129] The processor 51 can be any general-purpose and / or specialized processing component with processing and computing capabilities. Some examples of the processor 51 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various specialized artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any other suitable processor, controller, microcontroller, etc. The processor 51 executes the various methods and processes described above, such as the parking control method.

[0130] In some embodiments, the parking control method can be implemented as a computer program tangibly embodied in a computer-readable storage medium, such as storage unit 58. In some embodiments, part or all of the computer program can be loaded and / or installed on electronic device 50 via ROM 52 and / or communication unit 59. When the computer program is loaded into RAM 53 and executed by processor 51, one or more steps of the parking control method described above can be performed. Alternatively, in other embodiments, processor 51 can be configured to perform the parking control method in any other suitable manner (e.g., via firmware).

[0131] Various embodiments of the systems and techniques described herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), system-on-chip systems (SOCs), programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments can include being implemented in one or more computer programs that are executable and / or interpreted on a programmable system that includes at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0132] Computer programs for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when the computer program is executed by the processor, the functions / operations specified in the flowcharts and / or block diagrams are implemented. The computer program may be executed entirely on the machine, partially on the machine, as a stand-alone software package, partially on the machine and partially on a remote machine, or entirely on a remote machine or server.

[0133] In the context of the present invention, computer-readable storage media can be tangible media that can contain or store a computer program for use with an instruction execution system, device or equipment or used in combination with an instruction execution system, device or equipment. Computer-readable storage media can include but are not limited to electronic, magnetic, optical, electromagnetic, infrared or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, computer-readable storage media can be machine-readable signal media. More specific examples of machine-readable storage media can include electrical connections based on one or more lines, portable computer disks, hard disks, random access memories (RAM), read-only memories (ROM), erasable programmable read-only memories (EPROM or flash memory), optical fibers, portable compact disk read-only memories (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0134] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0135] The systems and techniques described herein can be implemented in a computing system that includes back-end components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes front-end components (e.g., a user computer with a graphical user interface or web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such back-end components, middleware components, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0136] A computing system may include clients and servers. The clients and servers are typically remote from each other and typically interact via a communication network. This client-server relationship arises through computer programs running on the respective computers, creating a client-server relationship. The server may be a cloud server, also known as a cloud computing server or cloud host. This server is a hosting product within the cloud computing service ecosystem that addresses the management difficulties and limited scalability of traditional physical hosting and VPS services.

[0137] It should be understood that the various forms of the processes shown above can be used to reorder, add, or delete steps. For example, the steps described in the present invention can be performed in parallel, sequentially, or in a different order, as long as the desired results of the technical solution of the present invention can be achieved. This is not limited herein.

[0138] The above specific embodiments do not limit the scope of protection of the present invention. Those skilled in the art will appreciate that various modifications, combinations, sub-combinations, and substitutions may be made based on design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention are intended to be included within the scope of protection of the present invention.

Claims

1. A parking control method, characterized in that: The method comprises: Obtaining preset parking control influencing factors for the vehicle; the preset parking control influencing factors include at least: a driver influencing factor, a vehicle condition influencing factor, and a driving environment influencing factor, wherein the driver influencing factor includes at least: the driver's driving style; the vehicle condition influencing factor includes at least: brake disc surface roughness, tire pressure, and unilateral caliper fault status; and the driving environment influencing factor includes at least: vehicle ambient temperature, vehicle ambient humidity, and driving road slope; determining a clamping force adjustment amount and a release distance adjustment amount of the vehicle according to the preset parking control influencing factor; controlling the operation of the caliper motor of the vehicle according to the clamping force adjustment amount and the release distance adjustment amount; The determining of the clamping force adjustment amount and the release distance adjustment amount of the vehicle according to the preset parking control influencing factor includes: searching, in a preset weight coefficient table, a preset clamping force weight, a preset clamping force adjustment range, a preset release distance weight, and a preset release distance adjustment range corresponding to the preset parking control influencing factor; Determining the sum of the products of each preset clamping force weight and the corresponding clamping force adjustment value in the preset clamping force adjustment range, and taking the sum of the products and the preset normal clamping force as the clamping force adjustment amount; Determine the sum of the products of each preset release distance weight and the corresponding release distance adjustment value in the preset release distance adjustment range, and use the sum of the products and the preset normal release distance as the release distance adjustment amount; The method further comprises: storing the determined clamping force adjustment amount, the release distance adjustment amount and corresponding timestamps of the vehicle in a data storage unit at every preset period; The controlling the operation of the caliper motor of the vehicle according to the clamping force adjustment amount and the release distance adjustment amount includes at least one of the following: When parking is required, searching the data storage unit for the clamping force adjustment value corresponding to the latest timestamp, and adjusting the clamping control parameters of the control software according to the clamping force adjustment value, so that the caliper motor controls the brake pad to fit the brake disc; When there is a release requirement, the release distance adjustment amount corresponding to the latest timestamp is searched in the data storage unit, and the release control parameters of the control software are adjusted according to the release distance adjustment amount, so that the caliper motor controls the brake pad to separate from the brake disc.

2. The method according to claim 1, characterized in that The parameter information in the preset weight coefficient table includes at least: The first preset clamping force weight corresponding to the driver's driving style of the preset parking control influencing factor is 10%, and the first preset clamping force adjustment range is {-2000, 0, 2000}; The second preset clamping force weight corresponding to the brake disc surface roughness of the preset parking control influencing factor is 15%, and the second preset clamping force adjustment range is {-4000, 0, 4000}; The tire pressure of the preset parking control influencing factor corresponds to a third preset clamping force weight of 5%, and the third preset clamping force adjustment range is {0,5000}; The fourth preset clamping force weight corresponding to the unilateral caliper fault state of the preset parking control influencing factor is 40%, and the fourth preset clamping force adjustment range is {0, 20000}; The vehicle ambient temperature, which is the preset parking control influencing factor, corresponds to a fifth preset clamping force weight of 5%, and the fifth preset clamping force adjustment range is {-3000, 0, 3000}; The vehicle ambient humidity, which is the preset parking control influencing factor, corresponds to a sixth preset clamping force weight of 5%, and the sixth preset clamping force adjustment range is {-3000, 0, 3000}; The seventh preset clamping force weight corresponding to the driving road slope of the preset parking control influencing factor is 20%, and the seventh preset clamping force adjustment range is {0, 10000}; The first preset release distance weight corresponding to the driver's driving style of the preset parking control influencing factor is 40%, and the adjustment range of the first preset release distance is {-0.2, 0, 0.2}; The brake disc surface roughness of the preset parking control influencing factor corresponds to a second preset release distance weight of 60%, and the adjustment range of the second preset release distance is {-0.3, 0, 0.3}.

3. The method according to claim 1, characterized in that The obtaining of a preset parking control influencing factor of the vehicle includes: The vehicle-mounted sensors are used to obtain the current driving data of the vehicle, and the preset parking control influencing factor is determined according to the driving data, wherein the vehicle-mounted sensors at least include: a temperature sensor, a humidity sensor, and a slope sensor.

4. A parking control device, characterized in that: The device is used to implement the parking control method according to any one of claims 1 to 3, and the device includes: An influence factor acquisition module, used to obtain a preset parking control influence factor of a vehicle; an adjustment amount determination module, configured to determine a clamping force adjustment amount and a release distance adjustment amount of the vehicle according to the preset parking control influencing factor; The caliper motor control module is used to control the operation of the caliper motor of the vehicle according to the clamping force adjustment amount and the release distance adjustment amount.

5. An electronic device, characterized in that: The electronic device comprises: at least one processor; and a memory communicatively connected to the at least one processor; wherein, The memory stores a computer program that can be executed by the at least one processor. The computer program is executed by the at least one processor to enable the at least one processor to perform the parking control method according to any one of claims 1 to 3.

6. A computer-readable storage medium, characterized in that The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the parking control method according to any one of claims 1 to 3 when executed.

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