Power-on control method of vehicle, vehicle and computer readable storage medium

Abstract

The invention discloses a power-on control method of a vehicle, the vehicle and a computer readable storage medium. The method comprises the steps of obtaining vehicle data of a vehicle, environment data of an environment where the vehicle is located and preference interaction data of a target object associated with the vehicle; based on the vehicle data, the environment data and the preference interaction data, determining whether the vehicle meets at least one power-on trigger condition in a plurality of power-on trigger conditions; if the vehicle meets the at least one power-on trigger condition, determining a target power-on trigger condition based on the at least one power-on trigger condition, and analyzing the target power-on trigger condition to obtain a power-on trigger control flow to which the power-on trigger condition belongs; and controlling the vehicle to perform power-on operation based on the power-on trigger control flow. The technical problem that in the prior art, the power-on control effect of the vehicle is poor is solved.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of vehicle control, vehicle power-on, energy management, in particular to a vehicle power-on control method, a vehicle and a computer readable storage medium. BACKGROUND

[0002] Under the background of rapid development of electric vehicle technology, the high-voltage power-on strategy of the vehicle is related to whether the stable operation of the vehicle can be guaranteed, the service life of the high-voltage device is prolonged and the overall experience of the user is improved. The current high-voltage power-on strategy is fixedly set and needs to be triggered by the user actively, which is difficult to adjust according to the actual situation, resulting in poor vehicle power-on control effect.

[0003] At present, no effective solution has been proposed for the above problems. SUMMARY

[0004] The embodiments of the present application provide a vehicle power-on control method, a vehicle and a computer readable storage medium, to at least solve the technical problem of poor vehicle power-on control effect in the prior art.

[0005] According to an aspect of the embodiments of the present application, a vehicle power-on control method is provided, comprising: obtaining vehicle data of a vehicle, environment data of an environment where the vehicle is located and preference interaction data of a target object associated with the vehicle, wherein the preference interaction data is used to represent preference data of the target object interacting with the vehicle; determining whether the vehicle satisfies at least one power-on trigger condition in a plurality of power-on trigger conditions based on the vehicle data, the environment data and the preference interaction data, wherein different power-on trigger conditions are used to represent conditions for triggering power-on of the vehicle in different ways; if the vehicle satisfies at least one power-on trigger condition, determining a target power-on trigger condition based on the at least one power-on trigger condition, and analyzing the target power-on trigger condition to obtain a power-on trigger control flow to which the power-on trigger condition belongs, wherein the power-on trigger control flow is used to represent an execution flow of triggering power-on of the vehicle; and controlling the vehicle to perform a power-on operation based on the power-on trigger control flow.

[0006] Further, if the vehicle satisfies a single power-on trigger condition, the single power-on trigger condition is determined as the target power-on trigger condition; and if the vehicle satisfies a plurality of arbitrary power-on trigger conditions, the plurality of arbitrary power-on trigger conditions are sorted based on a preset priority to obtain a sorting result, and an arbitrary power-on trigger condition ranked at a preset position in the sorting result is determined as the target power-on trigger condition.

[0007] Further, based on the vehicle data, the environment data and the preference interaction data, it is determined whether the vehicle satisfies any one of the plurality of power-on trigger conditions, including: based on the preference power-on time point in the preference interaction data, the preference charging time period in the preference interaction data, the vehicle power in the vehicle data, and the environment temperature in the environment data, it is determined whether the vehicle satisfies any one of the plurality of power-on trigger conditions, wherein the preference power-on time point is a time point in a plurality of historical time points at which the probability of the target object starting the vehicle is greater than a first preset probability, and the preference charging time period is a time period in a plurality of historical time periods during which the probability of the target object charging the vehicle is greater than a second preset probability.

[0008] Further, based on the preference power-on time point in the preference interaction data, the preference charging time period in the preference interaction data, the vehicle power in the vehicle data, and the environment temperature in the environment data, it is determined whether the vehicle satisfies any one of the plurality of power-on trigger conditions, including: based on the preference power-on time point, it is determined whether the vehicle satisfies a first power-on trigger condition in the plurality of power-on trigger conditions, wherein the first power-on trigger condition is used to represent a condition for triggering the vehicle to power on by a time point detection manner; based on the vehicle power and the preference charging time period, it is determined whether the vehicle satisfies a second power-on trigger condition in the plurality of power-on trigger conditions, wherein the second power-on trigger condition is used to represent a condition for triggering the vehicle to power on by a charging state detection manner; and based on the environment temperature and the preference power-on time point, it is determined whether the vehicle satisfies a third power-on trigger condition in the plurality of power-on trigger conditions, wherein the third power-on trigger condition is used to represent a condition for triggering the vehicle to power on by a temperature detection manner.

[0009] Further, based on the preference power-on time point, it is determined whether the vehicle satisfies the first power-on trigger condition in the plurality of power-on trigger conditions, including: based on a preset periodic acquisition time point; and if the time point matches the preference power-on time point, it is determined that the vehicle satisfies the first power-on trigger condition.

[0010] Further, based on the vehicle power and the preference charging time period, it is determined whether the vehicle satisfies the second power-on trigger condition in the plurality of power-on trigger conditions, including: based on a preset periodic acquisition time period; and if the time period matches the preference charging time period and the vehicle power is less than a preset threshold, it is determined that the vehicle satisfies the second power-on trigger condition.

[0011] Further, based on the environment temperature and the preference power-on time point, it is determined whether the vehicle satisfies the third power-on trigger condition in the plurality of power-on trigger conditions, including: based on a preset periodic acquisition time point; and if the environment temperature is in a preset temperature interval and the time point matches the preference power-on time point, it is determined that the vehicle satisfies the third power-on trigger condition.

[0012] Further, the power-on trigger control flow includes a first power-on trigger control flow, a second power-on trigger control flow, and a third power-on trigger control flow. The vehicle is controlled to perform the power-on operation based on the power-on trigger control flow, including: performing the power-on operation on the vehicle based on the first power-on trigger control flow, wherein the first power-on trigger control flow is obtained by analyzing the first power-on trigger condition; performing the power-on operation on the vehicle based on the second power-on trigger control flow in a case where the distance between the vehicle and the charging pile is less than a preset distance threshold, and performing temperature adjustment on the battery components of the vehicle based on the ambient temperature, wherein the second power-on trigger control flow is obtained by analyzing the second power-on trigger condition; and performing the power-on operation on the vehicle based on the third power-on trigger control flow, and performing temperature adjustment on the battery components of the vehicle based on the ambient temperature, wherein the third power-on trigger control flow is obtained by analyzing the third power-on trigger condition.

[0013] According to an aspect of an embodiment of the present application, there is provided a vehicle, comprising: a memory storing an executable program; and a processor configured to execute the program, wherein the program, when executed, performs the method of any one of the above embodiments.

[0014] According to an aspect of an embodiment of the present application, there is provided a computer-readable storage medium comprising a stored executable program, wherein the executable program, when executed, controls a device in which the storage medium is located to perform the method of any one of the above embodiments.

[0015] According to an aspect of an embodiment of the present application, there is provided a computer program product comprising a computer program which, when executed by a processor, implements the method of any one of the embodiments of the present application.

[0016] In the embodiment of the present application, vehicle data of the vehicle, environment data of the environment where the vehicle is located, and preference interaction data of the target object associated with the vehicle are acquired, wherein the preference interaction data is used to represent the preference data of the target object interacting with the vehicle; based on the vehicle data, the environment data, and the preference interaction data, it is determined whether the vehicle satisfies at least one of a plurality of power-on trigger conditions, wherein different power-on trigger conditions represent conditions for triggering the power-on of the vehicle in different ways; if the vehicle satisfies at least one power-on trigger condition, a target power-on trigger condition is determined based on the at least one power-on trigger condition, and the target power-on trigger condition is analyzed to obtain a power-on trigger control process to which the power-on trigger condition belongs, wherein the power-on trigger control process represents an execution process for triggering the power-on of the vehicle; and the vehicle is controlled to perform the power-on operation based on the power-on trigger control process. By comprehensively analyzing the vehicle data, the environment data, and the preference interaction data, the target power-on trigger condition that meets the requirements can be determined and the corresponding power-on operation can be performed, so as to ensure that the power-on process takes into account the health status of the vehicle and the external environment and meets the user preference. This process fully integrates the vehicle data, the environment data, and the preference interaction data of the target object, realizes the precise and personalized power-on control, and thus improves the overall effect of the power-on control and the user satisfaction. Through the intelligent selection of the appropriate power-on control process, the personalization and intelligent upgrading of the vehicle power-on control are realized, and thus the technical problem of poor power-on control effect of the vehicle in the prior art is solved. BRIEF DESCRIPTION OF DRAWINGS

[0017] The accompanying drawings, which are included to provide a further understanding of the present application and are incorporated in and constitute a part of this application, illustrate embodiments of the present application and serve to explain the present application. In the drawings:

[0018] Figure 1 is a flowchart of a power-on control method of a vehicle according to an example of the present application;

[0019] Figure 2 is a schematic diagram of a high-voltage power-on module for user behavior prediction according to an embodiment of the present application;

[0020] Figure 3 is a schematic diagram of a power-on time according to an embodiment of the present application;

[0021] Figure 4 is a schematic diagram of the relative relationship between the closing sound of a high-voltage relay and the driver according to an embodiment of the present application;

[0022] Figure 5 is a schematic diagram of vehicle pre-heating charging according to an embodiment of the present application;

[0023] Figure 6 is a flowchart of data collection and update according to an embodiment of the present application;

[0024] Figure 7 is a schematic diagram of a vehicle power-on control device according to an embodiment of the present application. DETAILED DESCRIPTION

[0025] In order to make the personnel in the technical field better understand the present application scheme, the technical scheme in the embodiment of the present application will be described clearly and completely in the following combined with the drawings in the embodiment of the present application. Obviously, the described embodiment is only a part of the embodiment of the present application, not all. Based on the embodiment in the present application, all other embodiments obtained by the person skilled in the art without creative labor should belong to the scope of protection of the present application.

[0026] It should be noted that the terms "first", "second" and the like in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and do not necessarily indicate a specific order or a chronological sequence. It should be understood that the data thus used can be interchanged under appropriate circumstances, so that the embodiments of the present application described herein can be implemented in an order other than that illustrated or described herein. In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion, for example, a process, method, system, product or device including a series of steps or units does not necessarily have to be limited to those steps or units clearly listed, but can include other steps or units not clearly listed or inherent to these processes, methods, products or devices.

[0027] According to the embodiment of the present application, a method embodiment of vehicle power-on control is provided. It should be noted that the steps shown in the flowchart of the drawings can be executed in a computer system such as a set of computer executable instructions, and although the logical order is shown in the flowchart, in some cases, the steps shown or described herein can be executed in a different order.

[0028] Figure 1 is a flowchart of a vehicle power-on control method according to an embodiment of the present application, as Figure 1 shown, the method comprises the following steps:

[0029] Step S102, obtaining vehicle data of the vehicle, environment data of the environment where the vehicle is located and preference interaction data of the target object associated with the vehicle.

[0030] The vehicle described above can be a vehicle to be powered on. The vehicle described above can be an electric or hybrid vehicle capable of performing a high-voltage power-on operation, equipped with an intelligent high-voltage power management system. The vehicle described above needs to be equipped with an on-board high-voltage architecture, a battery management system and a power-on control unit. The vehicle described above can reach a high-voltage drivable state after detecting a power-on trigger condition that meets the preset logic. For example, it can be converted from an off state to a high-voltage drivable state, or from a low-voltage standby state to a high-voltage drivable state.

[0031] The vehicle data described above can be used as a basis for powering on the vehicle. The vehicle data described above is a series of data sets collected by various systems and sensors of the vehicle. These data reflect the current state, health status, historical use record and component parameters of the vehicle. The vehicle data described above can be collected by the vehicle battery management system, vehicle history log, vehicle controller and related sensors. The vehicle data described above includes but is not limited to vehicle power, driving range, fault information, etc. The vehicle control system can use the vehicle data described above to evaluate the real-time state, past state, health status and historical use record of the vehicle.

[0032] The environment data described above refers to a series of state information of the physical environment outside the vehicle. These environment data are mainly used to evaluate whether the current environment is suitable or needs a specific power-on preparation. The environment data described above can be environmental temperature, humidity, external sound, lighting conditions, etc., which can be obtained through on-board environmental sensors or network services.

[0033] The target object described above refers to a specific user who frequently interacts with the vehicle. The target object described above can be the vehicle owner, an authorized user, a temporary user using a sharing platform, etc.

[0034] The preference interaction data described above refers to data obtained by analyzing the behavior patterns, habit preferences and historical interaction records of the target object. The role of preference interaction data is to analyze user habits and predict object intentions. By analyzing user habits, the user's power-on demand can be determined before the user actively operates the vehicle, so that part or all of the power-on preparation can be completed in advance. By predicting the object's intention, the power-on control user experience and convenience are improved.

[0035] In an optional embodiment, vehicle data, environment data of the environment where the vehicle is located, and preference interaction data of the target object associated with the vehicle can be collected. The collection process of the above data can be periodic or continuous. The vehicle data, environment data and preference interaction data described above can be obtained through a vehicle data collection module. Vehicle data, environment data and preference interaction data can be collected through a sensor network inside the vehicle, an environment monitoring device and a user behavior recording system, etc.

[0036] Exemplarily, in summer high temperature, the vehicle can continuously collect vehicle data, environmental data, preference interaction data and other information through the vehicle data collection module, and analyze that the user needs to perform the power-on operation at present through the user preference interaction data, and the vehicle has prepared for the power-on, and the current temperature is higher than the preset temperature threshold. Based on the above analysis, the vehicle can perform the ventilation and cooling operation in the vehicle at the same time of the advance power-on, so that the vehicle reaches the suitable temperature and battery state before the user enters.

[0037] By obtaining the vehicle data of the vehicle, the environmental data of the environment where the vehicle is located and the preference interaction data of the target object associated with the vehicle, the vehicle can determine when the vehicle needs to be powered on, whether it is ready for power-on, and which power-on operation needs to be performed based on the state of the vehicle and external conditions, to perform advance power-on, shorten the response time of the power-on operation, improve the accuracy of the power-on operation and the rationality of the decision, and enhance the effect of the power-on control process.

[0038] In step S104, whether the vehicle satisfies at least one of the plurality of power-on trigger conditions is determined based on the vehicle data, the environmental data and the preference interaction data.

[0039] The plurality of power-on trigger conditions described above are a series of decision rules preset for determining whether the high-voltage power-on process should be started. The trigger conditions can be set based on time, place, temperature, battery state and other dimensions to adapt to the user needs and vehicle conditions in different scenarios. The plurality of power-on trigger conditions described above can include time regularity trigger condition, geographical position trigger condition, environmental temperature trigger condition, battery state of charge, remote control trigger condition, health state trigger condition and emergency event trigger condition. Based on the plurality of power-on trigger conditions, the vehicle can respond to the power-on at the time required by the user. The plurality of power-on trigger conditions described above can be stored in the high-voltage power-on control system of the application.

[0040] The time regularity trigger condition is a trigger condition set based on the user's past operation time regularity, such as the first power-on time period every day, to predict and prepare for high-voltage power-on in advance. The geographic location trigger condition is a trigger condition set based on the user's commonly used charging pile or destination, such as when the vehicle approaches the user's commonly used charging pile or destination, automatically starting the high-voltage power-on process to facilitate immediate charging or driving. The environmental temperature trigger condition is a trigger condition set based on the environmental temperature, such as in a low-temperature or high-temperature environment, the battery pre-heating or pre-cooling mechanism will be activated in advance according to the pre-set temperature threshold to ensure that the battery is at the appropriate working temperature. The battery state of charge trigger condition is a trigger condition set based on the user's preferred charging range, such as when the battery state of charge is detected to be lower than the user's preferred charging range, the vehicle can automatically power on to facilitate charging or maintain the vehicle's minimum power requirements. The remote control trigger condition is a condition where the user sends a remote pre-operation instruction through a mobile application, and the vehicle can respond to this request immediately or at a pre-set time to power on the high-voltage power supply. The health state trigger condition is a trigger condition set based on the vehicle's health state, such as monitoring the vehicle's health state, and if the high-voltage system needs maintenance or pre-checking is found, the vehicle automatically powers on to facilitate system self-checking or maintenance procedures. The emergency trigger condition is a trigger condition set based on the presence of safety hazards or emergency situations in the vehicle, such as when the vehicle detects potential safety hazards or emergency situations, such as a flash flood warning issued by the vehicle's location, the vehicle immediately powers on and starts the emergency program to ensure the safety of the vehicle and passengers.

[0041] The design of the above-mentioned multiple power-on trigger conditions aims to achieve individualization and intelligentization of high-voltage power management through intelligent analysis of vehicle status, environmental factors and user needs, to improve user experience and long-term performance of the high-voltage system.

[0042] In an alternative embodiment, after obtaining vehicle data, environmental data and preference interaction data, the vehicle can determine whether the vehicle needs to power on and whether the power-on preparation is ready by matching the above-mentioned data with the power-on trigger conditions. Then determine whether the vehicle meets at least one of the multiple power-on trigger conditions, which can comprehensively analyze the current state of the vehicle to provide a basis for subsequent power-on operations. When the information from the vehicle data, environmental data and preference interaction data of the target object associated with the vehicle matches any of the above-mentioned power-on trigger conditions, it is considered that the power-on trigger condition is met, and the vehicle can perform the power-on operation; when the vehicle data, environmental data and preference interaction data of the target object associated with the vehicle do not match the above-mentioned power-on trigger conditions, the vehicle remains silent until at least one of the multiple power-on trigger conditions is met. Through the above series of operations of judging the power-on trigger conditions, it is ensured that the vehicle can respond to the power-on operation when the conditions are met.

[0043] In step S106, if the vehicle satisfies at least one power-on trigger condition, a target power-on trigger condition is determined based on the at least one power-on trigger condition, and the target power-on trigger condition is analyzed to obtain a power-on trigger control flow to which the target power-on trigger condition belongs.

[0044] The target power-on trigger condition refers to a specific trigger condition for guiding the current power-on operation when multiple power-on trigger conditions are satisfied at the same time. The target power-on trigger condition is derived from the at least one set of satisfied power-on trigger conditions. Based on the determined target power-on trigger condition, the vehicle can select a power-on trigger control flow that meets the vehicle state.

[0045] In an optional embodiment, if the vehicle does not satisfy any power-on trigger condition, the target power-on trigger condition cannot be determined, and the vehicle remains silent. If the vehicle satisfies only one power-on trigger condition, the condition naturally becomes the target power-on trigger condition. If the vehicle satisfies multiple power-on trigger conditions, a target power-on trigger condition can be selected according to a priority. The priority is set by the power-on control system and is used to select a target power-on trigger condition when multiple power-on trigger conditions are satisfied.

[0046] In an optional embodiment, if the vehicle satisfies multiple power-on trigger conditions, a target power-on trigger condition can be selected according to historical behavior data of the user in the same or similar situation. The historical behavior data is set by the power-on control system and is used to select a target power-on trigger condition that is more in line with the user's habits when multiple power-on trigger conditions are satisfied.

[0047] The power-on trigger control flow is a series of power-on operations selected based on the target power-on trigger condition, which specifies which power-on operations the vehicle needs to perform in sequence. The object of the power-on trigger control flow is the power-on control system of the vehicle, which can perform different power-on operations based on different power-on trigger control flows. Since the vehicle state and external environment state differ before each power-on, different power-on trigger conditions are satisfied, different power-on operations are needed, and therefore different power-on trigger flows need to be executed.

[0048] For example, if power-on operation is needed in a high-temperature environment. The vehicle first obtains environmental data through a temperature sensor and analyzes that the current temperature is higher than a preset temperature threshold based on the obtained temperature information, determines that the target power-on trigger condition is a high-temperature power-on trigger condition, and obtains the power-on trigger control flow to which the power-on trigger condition belongs. The vehicle performs internal ventilation and cooling operations at the same time as the power-on, so that the vehicle reaches an appropriate temperature and battery state before the user enters.

[0049] In an optional embodiment, it can be determined whether the vehicle meets any set power-on trigger condition. If it is detected that the condition is met, the corresponding power-on scenario is identified, such as low-temperature preheating, remote charging preparation, etc. Next, the power-on trigger condition can be analyzed in depth to determine the specific power-on execution process to which it belongs, which includes a series of detailed operations such as preheating, initializing the high-voltage system, etc. After analyzing the power-on trigger condition, the matching power-on program can be started to ensure that the vehicle power-on operation responds to user needs while protecting high-voltage components from damage and improving overall operational efficiency.

[0050] In step S108, the vehicle is controlled to perform power-on operation based on the power-on trigger control process.

[0051] The above power-on operation refers to the process of executing the power-on trigger control process by the vehicle systems in coordination after the target power-on trigger condition is met. Alternatively, it can be converted from the off state to the high-voltage drivable state, or from the low-voltage standby state to the high-voltage drivable state.

[0052] In an optional embodiment, after the power-on trigger control process has been determined, the vehicle can be controlled to perform a series of operations in sequence based on the power-on trigger control process to reach the high-voltage drivable state. By controlling the vehicle to perform power-on operation based on the power-on trigger control process, the power-on needs of the target object are predicted, and the power-on operation is completed when the user contacts the vehicle, thereby advancing the power-on time and improving the vehicle power-on effect.

[0053] The present application intelligently identifies the power-on opportunity by integrating the analysis of vehicle, environment and user preference data, and deploys the vehicle high-voltage power management strategy in advance. Compared with traditional responsive power-on control, the predictability and efficiency of the power-on operation are enhanced, ensuring the user's comfortable driving experience in different environments, while protecting the high-voltage devices through reasonable high-voltage load timing planning, thereby prolonging the service life of the high-voltage devices.

[0054] For example, in a low-temperature morning, it can be detected that the external temperature is lower than the preset low-temperature threshold, and combined with the user's usual starting time, the battery preheating process is started half an hour before the user arrives at the vehicle, effectively improving the charging efficiency and endurance ability under low-temperature conditions, realizing fast and inductive power-on in low-temperature environment, while reducing the number of high-voltage starts to avoid high-voltage components frequently subjected to large current impact, improving the durability of high-voltage components.

[0055] The vehicle data of the vehicle, the environment data of the environment where the vehicle is located, and the preference interaction data of the target object associated with the vehicle are obtained through the above steps, wherein the preference interaction data is used to represent the preference data of the target object interacting with the vehicle; based on the vehicle data, the environment data, and the preference interaction data, it is determined whether the vehicle satisfies at least one of a plurality of power-on trigger conditions, wherein different power-on trigger conditions represent conditions for triggering the power-on of the vehicle in different ways; if the vehicle satisfies at least one power-on trigger condition, a target power-on trigger condition is determined based on the at least one power-on trigger condition, and the target power-on trigger condition is analyzed to obtain a power-on trigger control process to which the power-on trigger condition belongs, wherein the power-on trigger control process represents an execution process for triggering the power-on of the vehicle; and the vehicle is controlled to perform a power-on operation based on the power-on trigger control process. By analyzing the vehicle data, the environment data, and the preference interaction data, it can be evaluated whether the current state of the vehicle and the user preference match at least one power-on trigger condition. If the vehicle satisfies at least one power-on trigger condition, the matched condition is further analyzed to identify the corresponding specific power-on trigger control process. Based on the identified control process, the corresponding power-on operation can be automatically performed to ensure that the power-on process meets the user preference and considers the health status of the vehicle. This process makes full use of the environment data and the preference interaction data of the target object, realizes the precision and personalization of power-on control, and improves the overall effect of power-on control and user satisfaction. This process integrates the user's behavior preference and environmental factors, intelligently selects the appropriate power-on control process, realizes the personalization and intelligent upgrade of vehicle power-on control, and solves the technical problem of poor power-on control effect in traditional technology.

[0056] In the embodiments of the present application, if the vehicle satisfies at least one power-on trigger condition, the target power-on trigger condition is determined based on the at least one power-on trigger condition, including: if the vehicle satisfies a single power-on trigger condition, the single power-on trigger condition is determined as the target power-on trigger condition; and if the vehicle satisfies a plurality of arbitrary power-on trigger conditions, the plurality of arbitrary power-on trigger conditions are sorted based on a preset priority to obtain a sorting result, and an arbitrary power-on trigger condition ranked at a preset position in the sorting result is determined as the target power-on trigger condition.

[0057] The vehicle satisfying a single power-on trigger condition means that when the data detected by the vehicle matches a preset power-on trigger condition, the condition is considered as the target power-on trigger condition, which means that a specific power-on control process related to the condition will be executed.

[0058] The vehicle satisfying a plurality of arbitrary power-on trigger conditions means that when the vehicle satisfies a plurality of preset power-on trigger conditions, these conditions need to be compared and selected. By analyzing the importance of different conditions and setting priorities, a sorting result is formed.

[0059] The target power-on trigger condition refers to a condition determined to be executed after a single condition is met or multiple conditions are sorted. It is the basis for decision-making in the power-on control process in the embodiments of the present application, ensuring that the power-on operation meets user needs and takes into account the actual situation of the vehicle and the environment.

[0060] The preset priority is a rule predefined by the system, which is used to determine which condition is selected as the target power-on trigger condition when multiple power-on trigger conditions are met at the same time. The preset priority rule can be based on various factors, such as safety level, energy efficiency, user experience requirements, etc. For example, the priority of the condition related to battery safety protection can be set higher than the timing power-on condition based on user habits. The preset priority provides a basis for decision-making in selecting the target power-on trigger condition for the system to handle concurrent trigger scenarios.

[0061] The sorting result is an ordered sequence obtained by calculating and arranging all power-on trigger conditions that are met at the same time according to the preset priority rule. In the sorting result, the trigger condition at the front end of the sequence is usually considered as the target power-on trigger condition. The sorting result provides a basis for decision-making in selecting the target power-on trigger condition, avoiding decision-making conflicts among multiple conditions.

[0062] In an optional embodiment, intelligent analysis can be performed on various data collected in real time for the vehicle to identify conditions that trigger high-voltage power-on operation. When the vehicle meets a single power-on trigger condition, the condition is directly determined as the target power-on trigger condition, and the corresponding power-on control process is matched. When multiple power-on trigger conditions are met at the same time, the conditions need to be sorted and selected through the preset priority to select the condition at a specified position in the sorting result as the target power-on trigger condition, ensuring the accuracy of the power-on control process and meeting the user needs and environmental conditions that are most suitable. The above method not only ensures the efficiency and pertinence of the power-on operation, effectively improving the user experience, but also prolongs the service life of high-voltage devices through intelligent decision-making.

[0063] For example, when the vehicle meets both the low-temperature environment pre-power-on and the charging pile operation power-on trigger conditions, the target power-on trigger condition that is more suitable for the current needs can be determined based on the preset priority. In the low-temperature environment, the vehicle can preferentially perform low-temperature preheating operation to ensure that the battery is at an appropriate operating temperature before the user starts the vehicle, improving the charging efficiency and range in low-temperature environments. In a warm environment, if the user is approaching a charging pile, the charging pile operation power-on can be preferentially performed to prepare for fast charging. The above strategy ensures that the vehicle can perform timely and efficient power-on operation according to the priority needs, avoids unnecessary high-voltage device wear and tear, improves the intelligent level of high-voltage power management, and enhances the user experience in various environments.

[0064] For example, in a cold winter morning, the vehicle collects the following information: the outside temperature is lower than the preset low temperature threshold, the current time is close to the user's habitual power-on time, and the battery state of charge is lower than the user's habitual charging range. At this time, the vehicle meets the two power-on trigger conditions of low-temperature preheating and charging pile operation power-on. According to the embodiments of the present application, these conditions can be sorted based on the preset priority, and considering the influence of low temperature on battery performance, the low-temperature preheating power-on trigger condition can be given higher priority. Therefore, low-temperature preheating becomes the target power-on trigger condition. The battery preheating mechanism is started immediately to ensure that the battery temperature rises to an appropriate working temperature before the user arrives at the vehicle, so as to improve the low-temperature charging efficiency and vehicle range. This process reduces the user's waiting time, improves the user's experience in cold environments, and at the same time, protects high-voltage devices and prolongs the service life of the overall high-voltage system by avoiding direct charging at extremely low temperatures, thereby improving the intelligence level and user experience of the system.

[0065] Optionally, the method further comprises determining whether the vehicle meets any one of the plurality of power-on trigger conditions based on the vehicle data, the environment data, and the preference interaction data, comprising: determining whether the vehicle meets any one of the power-on trigger conditions based on the preference power-on time point in the preference interaction data, the preference charging time period in the preference interaction data, the vehicle power in the vehicle data, and the environment temperature in the environment data, wherein the preference power-on time point is a time point in a plurality of historical time points at which the target object starts the vehicle with a probability greater than a first preset probability, and the preference charging time period is a time period in a plurality of historical time periods during which the target object charges the vehicle with a probability greater than a second preset probability.

[0066] The above-mentioned preference interaction data is a data set reflecting the user's vehicle usage rules and habit characteristics, which is analyzed and extracted by the system through continuous learning of the historical behaviors of the specific user associated with the vehicle. The above-mentioned preference interaction data can be derived from the historical operation log of the vehicle, the synchronization information of the user's schedule, or the user's active settings. The above-mentioned preference interaction data can include data such as "preference power-on time point" and "preference charging time period", and can also include the user's preferred in-vehicle temperature, seat position, and other personalized settings. The above-mentioned preference interaction data is the data basis for the system to realize personalized and predictive services.

[0067] In an optional embodiment, a comprehensive decision can be made based on the vehicle data, the environment data, and the user preference interaction data to determine whether the current state meets any one of the preset power-on trigger conditions. The decision-making process can be based on the probabilistic user model obtained from historical behavior analysis, and combined with real-time vehicle power and environment temperature, to perform multi-condition matching and determination. This method improves the convenience and energy efficiency management level of vehicle use, and enhances the effect of the power-on control process.

[0068] The preferred power-on time point is a time point obtained by analyzing historical data, at which the probability of the target object starting the vehicle is higher than a preset probability threshold. The time point reflects the user's usage habits and the peak time period of vehicle start.

[0069] The preferred charging time period is a time period in which the probability of the target object charging the vehicle exceeds a probability threshold among multiple time periods determined based on historical records. The preferred charging time period reveals the user's charging preferences and facilitates advance planning of vehicle charging preparation.

[0070] The vehicle power represents the current battery energy storage state of the vehicle, which is reflected by the state of charge and is one of the information determining the charging demand.

[0071] The ambient temperature is the real-time temperature measurement of the environment where the vehicle is located, which is the basis for judging the battery performance and the demand for vehicle preheating or precooling.

[0072] In an optional embodiment, the running data of the vehicle, such as the state of charge history, can be obtained continuously by the data collection module to construct multiple historical time periods in the preferred interaction data. The temperature of the environment where the vehicle is located can be monitored in real time by the environmental sensors equipped in the vehicle to ensure the accuracy of the environmental data. The probability of starting the vehicle at different time points can be calculated by analyzing the user's historical operation time to identify the preferred power-on time point. On this basis, two probability thresholds can be set, and the probability of the user charging the vehicle within a specific time period can be further analyzed, wherein the first probability threshold is used to screen the preferred power-on time point, and the second probability threshold is used to determine the preferred charging time period.

[0073] Then, it can be determined whether the current time point is close to the preferred power-on time point, while considering whether the real-time temperature in the environmental data is lower than a preset low temperature threshold. Specifically, it can be verified whether the current time falls within the preferred charging time period and whether the vehicle power is lower than the minimum power standard within the user's preferred charging range. If the vehicle meets any of the above power-on trigger conditions, an immediate response can be made to confirm the target power-on trigger condition as the basis for triggering the high-voltage power management mechanism. Subsequently, based on the specific target power-on trigger condition, the corresponding power-on control process can be started, such as low-temperature preheating, high-voltage load initialization, etc., to ensure that the vehicle reaches a stable operating state at the time point expected by the user.

[0074] By integrating user preferences, vehicle status and environmental conditions, the application can assess whether the current state meets the pre-defined power-on trigger conditions, which cover the peak period when the user starts the vehicle, the intensive period of charging demand, and the pre-processing demand under extreme environmental conditions. For example, it can be identified that the probability of starting the vehicle before the user's daily commuting peak is high, and the power-on process is started according to the probability value. At the same time, the battery preheating requirement in low temperature environment and the vehicle battery status can be combined to determine whether the battery preheating mechanism should be started in advance to prepare for subsequent fast charging.

[0075] Optionally, the method further comprises determining whether the vehicle meets any one of the power-on trigger conditions based on the preferred power-on time point in the preference interaction data, the preferred charging time period in the preference interaction data, the vehicle power in the vehicle data, and the environmental temperature in the environmental data, comprising: determining whether the vehicle meets a first power-on trigger condition in the plurality of power-on trigger conditions based on the preferred power-on time point, wherein the first power-on trigger condition is a condition for triggering the power-on of the vehicle by time point detection; determining whether the vehicle meets a second power-on trigger condition in the plurality of power-on trigger conditions based on the vehicle power and the preferred charging time period, wherein the second power-on trigger condition is a condition for triggering the power-on of the vehicle by charging state detection; and determining whether the vehicle meets a third power-on trigger condition in the plurality of power-on trigger conditions based on the environmental temperature and the preferred power-on time point, wherein the third power-on trigger condition is a condition for triggering the power-on of the vehicle by temperature detection.

[0076] The preferred power-on time point described above is a time point at which the user is identified to have a high probability of starting the vehicle by analyzing user historical operation data. The high probability can mean that the probability of the user starting the vehicle is greater than a first preset probability. When the system identifies that the current time is close to the preferred power-on time point, the preparation work of the high-voltage power supply will be triggered to ensure that the vehicle is in a drivable state when the user reaches the vehicle.

[0077] The first power-on trigger condition described above is a condition for triggering the power-on of the vehicle by time point detection.

[0078] The preferred charging time period described above is a time period in which the charging frequency of the vehicle is significantly increased based on historical data. When the current time is within the preferred charging time period and the vehicle power is low, the second power-on trigger condition can be started to prepare the charging function of the vehicle.

[0079] The second power-on trigger condition described above is a condition for triggering the power-on of the vehicle by charging state detection.

[0080] The ambient temperature is a real-time temperature measurement of the external environment in which the vehicle is located. When the ambient temperature is low, close to or equal to the user's preferred power-on time point, the third power-on trigger condition will be triggered.

[0081] The third power-on trigger condition is a condition for triggering the power-on of the vehicle by temperature detection.

[0082] In an optional embodiment, based on the preferred power-on time point in the preference interaction data, the preferred charging time period in the preference interaction data, the vehicle power in the vehicle data, and the ambient temperature in the environmental data, it is determined whether the vehicle meets any one of the power-on trigger conditions: based on the preferred power-on time point, it is determined whether the first power-on trigger condition is met; based on the vehicle power and the preferred charging time period, it is determined whether the second power-on trigger condition is met; based on the ambient temperature and the preferred power-on time point, it is determined whether the third power-on trigger condition is met. Through this condition-based and multi-dimensional detection method, the potential needs of users in different scenarios can be distinguished and responded to, enhancing the power-on control effect.

[0083] Optionally, the method further comprises determining whether the vehicle meets the first power-on trigger condition among the plurality of power-on trigger conditions based on the preferred power-on time point, comprising: based on a preset periodic collection time point; if the time point matches the preferred power-on time point, it is determined that the vehicle meets the first power-on trigger condition.

[0084] The preset period is a time interval set for the system to check or collect related data regularly. The setting of the preset period needs to consider various factors, including but not limited to data update frequency, user habits, vehicle state monitoring needs, etc., to ensure that the system can take action at the right time, while avoiding excessive energy consumption or resource waste.

[0085] During the operation of the vehicle, the embodiments of the present application design a periodic mechanism for collecting and recording the current time point. This period can be fixed, such as every minute, every half hour, or a specific time of day, or it can be dynamic, automatically adjusted according to the vehicle usage and data processing needs. Through this mechanism, time changes can be continuously observed, providing a time reference for subsequent power-on trigger condition judgments.

[0086] In the running data of the vehicle, the frequency at which the user started the vehicle at different time points in the past is included. The embodiments of the present application identify the time point at which the user's probability of starting the vehicle is significantly higher than the average value, i.e. the preferred power-on time point, by deeply analyzing these data. In the case where the current time point is close to or equal to the preferred power-on time point, it can be determined that the vehicle meets the first power-on trigger condition. Through the matching degree of the real-time monitored time point and the user behavior pattern, the intelligent identification of the system to the user's habits is realized.

[0087] Once the time point matches the preferred power-on time point, it can be determined that the vehicle meets the first power-on trigger condition. This means that the high-voltage power-on process will be started, which will prepare for the vehicle start in advance, including but not limited to system voltage initialization, high-voltage load pre-charging and other steps, so as to ensure that the vehicle can respond quickly when the user arrives at the vehicle, and achieve a no-sense power-on.

[0088] By implementing the strategy of collecting the time point based on the preset period and matching the preferred power-on time point, the embodiments of the present application realize the intelligence and individualization of high-voltage power-on control. The power-on preparation time can be automatically adjusted according to the user's behavior pattern to ensure that the vehicle is ready before the user's high-frequency power-on time point, thereby reducing the user's waiting time and improving the user experience. In addition, this strategy can also be used to pre-start the high-voltage system before the user's high-frequency power-on time point, which can optimize the impact on the service life of high-voltage devices through strategies such as extending the pre-charging time. Through intelligent time management, the efficiency of high-voltage power management is improved, the user experience is enhanced, and the stability and durability of the high-voltage system are also enhanced.

[0089] Optionally, the method further comprises determining whether the vehicle meets a second power-on trigger condition in the plurality of power-on trigger conditions based on the vehicle power and the preferred charging time period, including: collecting a time period based on a preset period; and if the time period matches the preferred charging time period and the vehicle power is less than a preset threshold, determining that the vehicle meets the second power-on trigger condition.

[0090] The above-mentioned preset threshold refers to the lower limit of the state of charge of the system set by the system, which is used to determine whether the vehicle battery needs to be charged. When the vehicle power is lower than this preset threshold, it can be considered that the vehicle battery is insufficient and needs to be charged, thereby starting the evaluation of the second power-on trigger condition.

[0091] When the present time period matches the preferred charging time period and the vehicle power is lower than the preset threshold, the embodiments of the present application determine that the vehicle meets the second power-on trigger condition. This condition triggers the pre-start process of the high-voltage power management system, including pre-charging, initialization and other operations on the high-voltage system, in response to the subsequent charging demand.

[0092] By implementing the strategy of collecting the time period based on the preset period and judging whether the time period matches the preferred charging time period and the vehicle power is less than the preset threshold, the embodiments of the present application can identify the charging demand and automatically complete the pre-start preparation of the high-voltage power system before the user's charging time point. By combining user behavior pattern analysis and real-time vehicle state monitoring, the charging demand is accurately predicted, the battery is pre-heated by starting the high-voltage system before the charging period, which avoids the battery from being powered on and charged at a very low temperature, and improves the charging efficiency. The long-term stability and service life of the high-voltage system are significantly improved.

[0093] In an alternative embodiment, the vehicle power-on control system determines whether the vehicle satisfies a second power-on trigger condition of the plurality of power-on trigger conditions based on the vehicle power level and a preferred power-on time period. Optionally, the vehicle can periodically collect time points, or can periodically determine the current date and time period.

[0094] For example, if the preferred power-on time period is Sunday and the preset threshold is 25%, the vehicle power-on control system can read the current power battery power level of the vehicle at this time period. If the vehicle power level is lower than the preset charging threshold at this time, it can be determined that both the "time period matching" and "low power level" sub-conditions are satisfied, and thus the vehicle satisfies the second power-on trigger condition. This method enables the system to determine whether the current charging-related preparation needs to be started at the user's habitual charging time period.

[0095] Optionally, the method further includes determining whether the vehicle satisfies a third power-on trigger condition of the plurality of power-on trigger conditions based on the ambient temperature and a preferred power-on time point, including: collecting a time point based on a preset period; and determining that the vehicle satisfies the third power-on trigger condition if the ambient temperature is in a preset temperature interval and the time point matches the preferred power-on time point.

[0096] The above-mentioned preset temperature interval is a set of temperature thresholds set by the present application according to vehicle performance, battery characteristics, and user needs, etc., and is used to identify the temperature range suitable for battery operation. When the ambient temperature measurement value falls within this preset interval, it indicates that the vehicle battery can be normally started without additional preheating or cooling measures, and has good starting conditions.

[0097] In an alternative embodiment, when it is detected that the ambient temperature is in the preset temperature interval and the current time point matches the preferred power-on time point, it can be determined that the vehicle satisfies the third power-on trigger condition. The triggering of this condition prompts the high-voltage power management system to prepare in advance, including starting system initialization, pre-charging, etc., to ensure that the vehicle battery can quickly enter the working state at the user's desired starting time, reducing the starting delay.

[0098] By combining the collection of time points based on a preset period, the ambient temperature being in a preset temperature interval, and the matching of the time point and the preferred power-on time point, the embodiments of the present application can determine and select a suitable power-on time point according to user habits. By integrating environmental data and user behavior prediction, the efficiency and timeliness of the high-voltage power-on process are ensured. At a suitable ambient temperature, the pre-starting and initialization of the high-voltage power-on control system can be automatically completed before the user starts the vehicle at a high-frequency time point, to avoid additional waiting and unstable starting problems caused by unsuitable temperature, improve the user experience, and reduce the unnecessary activation frequency of high-voltage devices, which is conducive to prolonging the overall service life of the high-voltage system.

[0099] In an optional embodiment, whether the third power-on triggering condition is met can be determined based on the ambient temperature and the user's high-frequency vehicle use time point. The current time can be obtained as a detection time point at a preset period; if the ambient temperature is in a preset specific interval and the detection time point is within the user's historical high-frequency vehicle use time range, it is determined that the vehicle meets the third power-on triggering condition, thereby triggering the temperature detection-based power-on process, and the power-on control effect is enhanced.

[0100] Optionally, the method further includes that the power-on triggering control process includes a first power-on triggering control process, a second power-on triggering control process, and a third power-on triggering control process, and the vehicle is controlled to perform the power-on operation based on the power-on triggering control process, including: the vehicle is powered on based on the first power-on triggering control process to complete the power-on operation of the vehicle, wherein the first power-on triggering control process is the power-on triggering control process obtained after the first power-on triggering condition is analyzed; the vehicle is powered on based on the second power-on triggering control process in the case that the distance between the vehicle and the charging pile is less than a preset distance threshold, and the battery components of the vehicle are temperature adjusted based on the ambient temperature to complete the power-on operation of the vehicle, wherein the second power-on triggering control process is the power-on triggering control process obtained after the second power-on triggering condition is analyzed; the vehicle is powered on based on the third power-on triggering control process, and the battery components of the vehicle are temperature adjusted based on the ambient temperature to complete the power-on operation of the vehicle, wherein the third power-on triggering control process is the power-on triggering control process obtained after the third power-on triggering condition is analyzed.

[0101] The first power-on triggering control process described above is a specific power-on operation process designed by the present application for the first power-on triggering condition. Once it is identified that the current time point is close to the user's preferred start time point, the triggering process is activated, and a series of preset power-on steps are executed. These steps can include detecting the vehicle state, initializing the high-voltage system, pre-charging the high-voltage load, etc., to ensure that at the user's usual power-on time, the vehicle can quickly respond and start normally, improving the user experience, and at the same time, through the gentle pre-start process, unnecessary start of the high-voltage system is reduced, prolonging the service life of the high-voltage device.

[0102] The second power-on trigger control process described above is a power-on control process initiated when the system detects that the vehicle is within a preset distance threshold from the charging pile. In this process, in addition to the power-on operation, temperature adjustment of the vehicle battery components will also be performed according to the ambient temperature. When the system determines that the vehicle is approaching the charging pile and the ambient temperature is lower or higher than the working temperature range set for the battery, the trigger process will activate the battery preheating or cooling mechanism in advance to ensure that the battery is at a stable temperature state before charging begins, improving charging efficiency and battery performance. Starting the power-on process when the vehicle is within a preset distance threshold from the charging pile, combined with temperature adjustment of the battery according to the ambient temperature, not only makes the charging process smoother and reduces the waiting time before charging, but also avoids damage to the battery during charging due to excessive or excessive temperature, prolonging the service life of the battery.

[0103] The third power-on trigger control process described above is a customized process for the third power-on trigger condition. The third power-on trigger condition refers to the current ambient temperature being within a preset temperature range and the time point matching the preferred power-on time point. When the system determines that the ambient temperature is suitable and the time point is close to the user's preferred start time, the trigger process is activated to perform the vehicle power-on operation. At the same time, according to the ambient temperature, the process will automatically perform temperature adjustment of the battery components to ensure that the vehicle starts in a stable working state. The feature of this process is that it combines time prediction and temperature monitoring, through pre-temperature adjustment and power-on preparation, to ensure that the user can immediately feel the response of the vehicle at the preferred time point, shorten the start waiting time, and improve the driving experience. At the same time, starting the high-voltage power supply system under suitable temperature conditions avoids potential damage to high-voltage devices due to low or high temperature, thereby maintaining the long-term stability and performance of the high-voltage system.

[0104] The first, second and third power-on trigger control processes in this application achieve intelligent and personalized high-voltage power management by accurately identifying user behavior patterns, vehicle status and environmental conditions. Based on time prediction, proximity detection to the charging pile and environmental temperature monitoring, the vehicle's high-voltage power supply system and battery temperature adjustment function can be activated in advance to ensure rapid response and stable working state of the vehicle at the user's preferred time point or before charging demand.

[0105] This application improves the user's experience in starting the vehicle and charging, and reduces unnecessary waiting time. At the same time, through gentle pre-starting and temperature pre-adjustment measures, the unnecessary start frequency of the high-voltage system and battery components is effectively reduced, prolonging the service life of the high-voltage system and the battery, and reflecting the intelligence and efficiency of this application in high-voltage power management and battery performance maintenance. By predicting and responding to user needs and environmental conditions, the vehicle can achieve smoother power-on preparation and start, and the maintenance of the high-voltage system and battery health status also reaches a higher standard.

[0106] In an optional embodiment, the vehicle power-on control system performs differentiated power-on operation processes for different target power-on trigger conditions. When a first power-on trigger condition is met, a first power-on trigger control process is performed for regular power-on operation; when a second power-on trigger condition is met and it is detected that the vehicle is within a preset threshold distance from the charging pile, a second power-on trigger control process is performed to complete power-on while adjusting the temperature of the battery components according to the ambient temperature; when a third power-on trigger condition is met, a third power-on trigger control process is performed to adjust the temperature of the battery according to the ambient temperature based on the power-on operation. Through the above matching, the power-on operation is adapted to the triggering reason and environmental factors, improving the effect of the power-on control process.

[0107] In an optional embodiment, Figure 2 is a high-voltage power-on module for user behavior prediction according to an embodiment of the present application, as Figure 2 shown, data is first collected by the data collection module, including internal and external environmental temperature, time, geographic location, state of charge of the battery, user operation, etc., and these data are transmitted to the decision module. The decision module makes decisions based on the above data. The behavior of the user using the vehicle this time is first recorded, and then the behavior probability is calculated according to the input data, the instruction for high-voltage power-on is issued according to the current state of the vehicle, and self-iteration is performed according to the recorded behavior to improve the accuracy of the user behavior probability calculation. The execution module is responsible for the execution of this action, and feeds back the action to the decision module, which records the behavior of using the vehicle this time. Through this method, precise personalized operation can be performed in combination with the health status of the vehicle, the environmental state and the past user operation, enhancing the user experience while improving the accuracy of the user behavior probability calculation, thereby enhancing the power-on effect.

[0108] In an optional embodiment, Figure 3 is a power-on time diagram according to an embodiment of the present application, as Figure 3 shown, two power-on start-up logics of the high-voltage system of the vehicle in a driving scenario are shown. The upper figure is the power-on logic of the present application, which adopts a proactive prediction logic to predict the driving intention of the driver, send the high-voltage power-on instruction in advance, start the high-voltage pre-charging process, and perform high-voltage power-on. The lower figure is the current power-on logic, which adopts a passive response logic to send the high-voltage power-on instruction through the operation of the driver, and then start the high-voltage pre-charging and high-voltage power-on process. The present application moves the time of sending the power-on instruction forward by predicting the driving intention of the driver, so it is faster than the traditional way of triggering the high-voltage power-on process by the action of the driver, thereby enhancing the power-on effect.

[0109] In an optional embodiment, Figure 4is a schematic diagram of the relative relationship between the high-voltage relay closing sound and the driver according to an embodiment of the application, as shown in Figure 4 The two relative relationships between the high-voltage relay closing sound and the driver are shown. The upper diagram shows the current high-voltage power-on process. The driver first approaches and operates the vehicle, and the high-voltage power-on command is issued. During the power-on process, the high-voltage power-on relay will make a sound until the high-voltage power-on is completed. The lower diagram shows the power-on process of the application. Before the driver approaches and enters the vehicle, the high-voltage power-on command is first issued by identifying the driving intention of the driver. During the process, the high-voltage power-on relay will make a sound until the high-voltage power-on is completed. After that, the driver approaches and enters the vehicle. Since the power-on process has occurred before the driver enters the vehicle, the action sound of the relay will not be perceived by the user. This avoids the user being disturbed by the high-voltage relay closing noise, realizes the effect of the user being unaware of the entire high-voltage power-on process, and improves the user experience, thereby enhancing the power-on effect.

[0110] In an alternative embodiment, Figure 5 is a schematic diagram of vehicle pre-heating charging according to an embodiment of the application, as shown in Figure 5 The two high-voltage power-on processes of the vehicle in the charging scenario requiring pre-heating operation are shown. The upper diagram shows the power-on logic of the application. The application sends a high-voltage power-on command after confirming the charging intention, starts charging heating, and then starts subsequent charging. The lower diagram shows the power-on logic of the traditional application. The high-voltage power-on command is sent after plugging in and starting the charging process, starting charging heating, and then performing subsequent charging operation. The application identifies the charging intention of the user in advance, completes the pre-heating start of charging under different low-temperature threshold setting conditions, shortens the charging time of the power battery under low-temperature conditions, and thus is faster than the traditional method of triggering the high-voltage power-on process by the action of the driver, thereby enhancing the power-on effect.

[0111] Figure 6 is a flowchart of data collection and update according to an embodiment of the application, as shown in Figure 6As shown, the method comprises the following steps: first, through the acquisition module, input the user's driving behavior habits, environment, temperature, time, geographical location and other parameters to the decision module. Then, through the decision module, relevant calculations and corrections are performed. Next, the decision module calculates and issues instructions to the execution module, while recording this data. Then the execution module executes and feeds back the user operation information to the decision module. The decision module records the results of this time and improves and iterates the strategy according to the user's driving results, while compressing the data samples. Through the above steps, the intelligence and personalization of the vehicle power-on control are realized. Not only can the user's demand be accurately predicted to improve the user experience, but also the vehicle can adapt to the internal and external environment to control the power-on time of the vehicle battery. In addition, the compression of data samples and the continuous iteration of strategies ensure the efficient operation and self-improvement ability of the system, and improve the flexibility of the overall system. In summary, through the above steps, the application realizes multi-dimensional collection and iterative update of data, and enhances the effect of vehicle power-on operation.

[0112] Figure 7 is a schematic diagram of a vehicle power-on control device according to an embodiment of the application, as Figure 7 shown, the device comprises the following: an acquisition module 702, a determination module 704, a first control module 706, and a second control module 708.

[0113] The acquisition module 702 is configured to acquire vehicle data of the vehicle, environment data of an environment in which the vehicle is located, and preference interaction data of a target object associated with the vehicle, wherein the preference interaction data is used to represent preference data of the target object interacting with the vehicle. The determination module 704 is configured to determine whether the vehicle satisfies at least one power-on trigger condition in a plurality of power-on trigger conditions based on the vehicle data, the environment data, and the preference interaction data, wherein different power-on trigger conditions are used to represent conditions for triggering the vehicle to power on in different ways. The first control module 706 is configured to determine a target power-on trigger condition based on the at least one power-on trigger condition, and analyze the target power-on trigger condition to obtain a power-on trigger control process to which the power-on trigger condition belongs, wherein the power-on trigger control process is used to represent an execution process for triggering the vehicle to power on. The second control module 708 is configured to control the vehicle to perform a power-on operation based on the power-on trigger control process.

[0114] Optionally, the determination module is configured to determine whether the vehicle satisfies any one power-on trigger condition based on a preferred power-on time point in the preference interaction data, a preferred charging time period in the preference interaction data, a vehicle power in the vehicle data, and an environment temperature in the environment data, wherein the preferred power-on time point is a time point in a plurality of historical time points at which a probability of the target object starting the vehicle is greater than a first preset probability, and the preferred charging time period is a time period in a plurality of historical time periods during which a probability of the target object charging the vehicle is greater than a second preset probability.

[0115] Optionally, the determining module is further configured to determine, based on the preferred power-on time point, whether the vehicle satisfies a first power-on trigger condition in the plurality of power-on trigger conditions, where the first power-on trigger condition is used to represent a condition for triggering the vehicle to power on by a time point detection manner; determine, based on the vehicle power and the preferred charging time period, whether the vehicle satisfies a second power-on trigger condition in the plurality of power-on trigger conditions, where the second power-on trigger condition is used to represent a condition for triggering the vehicle to power on by a charging state detection manner; and determine, based on the ambient temperature and the preferred power-on time point, whether the vehicle satisfies a third power-on trigger condition in the plurality of power-on trigger conditions, where the third power-on trigger condition is used to represent a condition for triggering the vehicle to power on by a temperature detection manner.

[0116] Optionally, the determining module is further configured to collect a time point based on a preset periodicity; and determine that the vehicle satisfies the first power-on trigger condition if the time point matches the preferred power-on time point.

[0117] Optionally, the determining module is further configured to collect a time period based on a preset periodicity; and determine that the vehicle satisfies the second power-on trigger condition if the time period matches the preferred charging time period and the vehicle power is less than a preset threshold.

[0118] Optionally, the determining module is further configured to collect a time point based on a preset periodicity; and determine that the vehicle satisfies the third power-on trigger condition if the ambient temperature is in a preset temperature interval and the time point matches the preferred power-on time point.

[0119] Optionally, the second control module is configured to control the vehicle to power on based on a first power-on trigger control process to complete the power-on operation of the vehicle, where the first power-on trigger control process is obtained by analyzing the first power-on trigger condition; control the vehicle to power on based on a second power-on trigger control process in a case where the distance between the vehicle and the charging pile is less than a preset distance threshold, and control the battery components of the vehicle to adjust the temperature based on the ambient temperature to complete the power-on operation of the vehicle, where the second power-on trigger control process is obtained by analyzing the second power-on trigger condition; and control the vehicle to power on based on a third power-on trigger control process, and control the battery components of the vehicle to adjust the temperature based on the ambient temperature to complete the power-on operation of the vehicle, where the third power-on trigger control process is obtained by analyzing the third power-on trigger condition.

[0120] Embodiments of the present application also provide a vehicle, comprising a memory storing an executable program, and a processor configured to run the program, where the program is configured to execute the method in the embodiments of the present application.

[0121] The embodiments of the present application further provide a computer readable storage medium comprising a stored executable program, wherein the computer readable storage medium controls the device where the computer readable storage medium is located to execute the method in each of the embodiments of the present application when the executable program is executed.

[0122] The embodiments of the present application further provide a computer program product comprising a computer program, which, when executed by a processor, implements the method in each of the embodiments of the present application.

[0123] In the above-described embodiments of the present application, the description of each embodiment has its own focus, and the part not described in detail in a certain embodiment can be referred to the relevant description of other embodiments.

[0124] In several embodiments provided in the present application, it should be understood that the disclosed technical contents can be implemented by other manners. Among them, the apparatus embodiment described above is only schematic, for example, the division of units can be logical function division, and actual implementation can have another division manner, for example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the units or modules shown or discussed can be indirect coupling or communication connection through some interfaces, and can be electrical or other forms.

[0125] The units described as separate components can or can not be physically separated, and the components shown as units can or can not be physical units, that is, they can be located in one place, or can be distributed to multiple units. Part or all of the units can be selected according to actual needs to achieve the purpose of the present embodiment scheme.

[0126] In addition, each functional unit in each embodiment of the present application can be integrated in one processing unit, or each unit can exist physically independently, or two or more units can be integrated in one unit. The integrated unit can be realized in the form of hardware or in the form of software functional unit.

[0127] The integrated unit, if implemented in the form of a software function unit and sold or used as an independent product, can be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the present application, essentially or in other words, the part that contributes to the prior art or the whole or part of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium, including a number of instructions to make a computer device (which can be a personal computer, a server or a network device, etc.) execute all or part of the steps of the methods described in various embodiments of the present application. The aforementioned storage medium includes: a U disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a mobile hard disk, a magnetic disk or an optical disk, and various media that can store program codes.

[0128] The above is only the preferred embodiment of the present application, and it should be pointed out that for those skilled in the art, without departing from the principles of the present application, a number of improvements and refinements can be made, and these improvements and refinements should be considered as the protection scope of the present application.

Claims

1. A power-up control method of a vehicle, characterized by, The method comprises: obtaining vehicle data of a vehicle, environment data of an environment in which the vehicle is located, and preference interaction data of a target object associated with the vehicle, wherein the preference interaction data is used to represent preference data of the target object interacting with the vehicle; based on the vehicle data, the environment data and the preference interaction data, determining whether the vehicle satisfies at least one of a plurality of power-on trigger conditions, wherein different power-on trigger conditions represent conditions for triggering the vehicle to be powered on in different ways; if the vehicle satisfies the at least one power-on trigger condition, determining a target power-on trigger condition based on the at least one power-on trigger condition, and analyzing the target power-on trigger condition to obtain a power-on trigger control flow to which the power-on trigger condition belongs, wherein the power-on trigger control flow represents an execution flow for triggering the vehicle to be powered on; controlling the vehicle to perform a power-on operation based on the power-on trigger control flow.

2. The method of claim 1, wherein, If the vehicle satisfies the at least one power-on trigger condition, determining a target power-on trigger condition based on the at least one power-on trigger condition, comprising: if the vehicle satisfies a single power-on trigger condition, determining that the single power-on trigger condition is the target power-on trigger condition; if the vehicle satisfies a plurality of arbitrary power-on trigger conditions, sorting the plurality of arbitrary power-on trigger conditions based on a preset priority to obtain a sorting result, and determining that an arbitrary power-on trigger condition ranked at a preset position based on the sorting result is the target power-on trigger condition.

3. The method of claim 1, wherein, Based on the vehicle data, the environment data and the preference interaction data, determining whether the vehicle satisfies any one of a plurality of power-on trigger conditions, comprising: based on a preferred power-on time point in the preference interaction data, a preferred charging time period in the preference interaction data, a vehicle power in the vehicle data, and an environment temperature in the environment data, determining whether the vehicle satisfies the arbitrary one of the power-on trigger conditions, wherein the preferred power-on time point is a time point in a plurality of historical time points at which the target object starts the vehicle with a probability greater than a first preset probability, and the preferred charging time period is a time period in a plurality of historical time periods during which the target object charges the vehicle with a probability greater than a second preset probability.

4. The method of claim 3, wherein, Based on the preferred power-on time point in the preference interaction data, the preferred charging time period in the preference interaction data, the vehicle power in the vehicle data, and the environment temperature in the environment data, determining whether the vehicle satisfies the arbitrary one of the power-on trigger conditions, comprising: based on the preferred power-on time point, determining whether the vehicle satisfies a first power-on trigger condition in the plurality of power-on trigger conditions, wherein the first power-on trigger condition represents a condition for triggering the vehicle to be powered on by a time point detection method; determining, based on the vehicle power and the preferred charging time period, whether the vehicle satisfies a second power-on trigger condition in the plurality of power-on trigger conditions, where the second power-on trigger condition is used to represent a condition for triggering the vehicle to be powered on by a charging state detection manner; determining, based on the ambient temperature and the preferred power-on time point, whether the vehicle satisfies a third power-on trigger condition in the plurality of power-on trigger conditions, where the third power-on trigger condition is used to represent a condition for triggering the vehicle to be powered on by a temperature detection manner.

5. The method of claim 4, wherein, determining, based on the preferred power-on time point, whether the vehicle satisfies a first power-on trigger condition in the plurality of power-on trigger conditions, comprising: acquiring a preset periodic time point; if the time point matches the preferred power-on time point, determining that the vehicle satisfies the first power-on trigger condition.

6. The method of claim 4, wherein, determining, based on the vehicle power and the preferred charging time period, whether the vehicle satisfies a second power-on trigger condition in the plurality of power-on trigger conditions, comprising: acquiring a preset periodic time period; if the time period matches the preferred charging time period and the vehicle power is less than a preset threshold, determining that the vehicle satisfies the second power-on trigger condition.

7. The method of claim 4, wherein, determining, based on the ambient temperature and the preferred power-on time point, whether the vehicle satisfies a third power-on trigger condition in the plurality of power-on trigger conditions, comprising: acquiring a preset periodic time point; if the ambient temperature is in a preset temperature interval and the time point matches the preferred power-on time point, determining that the vehicle satisfies the third power-on trigger condition.

8. The method of claim 4, wherein, the power-on trigger control process comprises a first power-on trigger control process, a second power-on trigger control process, and a third power-on trigger control process, and the vehicle is controlled to be powered on based on the power-on trigger control process, comprising: controlling the vehicle to be powered on based on the first power-on trigger control process to complete the power-on operation of the vehicle, where the first power-on trigger control process is a power-on trigger control process obtained after the first power-on trigger condition is analyzed; controlling the vehicle to be powered on based on the second power-on trigger control process in a case where the distance between the vehicle and a charging pile is detected to be less than a preset distance threshold, and controlling a battery component of the vehicle to be temperature-adjusted based on the ambient temperature to complete the power-on operation of the vehicle, where the second power-on trigger control process is a power-on trigger control process obtained after the second power-on trigger condition is analyzed; controlling the vehicle to be powered on based on the third power-on trigger control process, and controlling a battery component of the vehicle to be temperature-adjusted based on the ambient temperature to complete the power-on operation of the vehicle, where the third power-on trigger control process is a power-on trigger control process obtained after the third power-on trigger condition is analyzed.

9. A vehicle characterized by comprising: comprising: a memory storing an executable program; a processor configured to run the program, where the program, when running, performs the method in any one of claims 1 to 8.

10. A computer-readable storage medium, characterized in that, The computer readable storage medium comprises a stored executable program, wherein the executable program, when executed, controls a device in which the storage medium is located to perform the method of any one of claims 1 to 8.

11. A computer program product, characterised in that, A computer program which, when executed by a processor, implements the method of any one of claims 1 to 8.

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