Intelligent charging method and device for vehicle low-voltage battery and computer storage medium

Abstract

The invention relates to the technical field of batteries, and discloses an intelligent charging method and device for a low-voltage battery of a vehicle and a computer storage medium, and the method comprises the steps: determining low-voltage battery information of the low-voltage battery before a battery management system of the low-voltage battery of the vehicle is powered off and dormant, and detecting battery consumption information in the power-off and dormant process of the battery management system, and according to the low-voltage battery information and the battery consumption information, calculating the charging starting remaining time of the low-voltage battery, determining first real-time clock data, and according to the first real-time clock data and the charging starting remaining time, determining a charging strategy for the low-voltage battery. Therefore, by implementing the method, the intelligence and the timeliness of charging the low-voltage battery can be improved on the premise that hardware design does not need to be changed, the battery feed risk is reduced, the safety and the stability of the whole vehicle are further improved, and the vehicle use experience of a user is improved.

Description

Technical Field

[0001] The present invention relates to the field of battery technology, and in particular to an intelligent charging method and device for a vehicle low-voltage battery, and a computer storage medium. Background Art

[0002] With the rapid development of smart car technology, new energy vehicles are increasingly favored by the market for their environmental protection and energy-saving characteristics. However, compared with traditional fuel vehicles, new energy vehicles are more prone to power feeding in low-voltage batteries due to the large number of controllers and large static current of the vehicle, which poses a challenge to user experience and vehicle reliability.

[0003] The existing technology often uses the method of regularly monitoring the battery voltage to determine whether to recharge the low-voltage battery. The intelligence level is insufficient and it is difficult to effectively deal with the risk of power feeding in real time, resulting in the vehicle being unable to start from time to time, affecting the user's daily travel. Therefore, it is particularly important to propose a technical solution that can improve the intelligence and timeliness of recharging the low-voltage battery and reduce the risk of battery power feeding. Summary of the invention

[0004] The present invention provides an intelligent power replenishment method and device for a vehicle low-voltage battery, and a computer storage medium, which can help improve the intelligence and timeliness of power replenishment for the low-voltage battery and reduce the risk of battery power feeding.

[0005] In order to solve the above technical problems, the first aspect of the present invention discloses an intelligent charging method for a low-voltage battery of a vehicle, the method comprising:

[0006] Before the low-voltage battery of the vehicle goes into power-down mode in a battery management system, determining low-voltage battery information of the low-voltage battery, wherein the low-voltage battery information includes first remaining power information;

[0007] Detecting battery consumption information during power-down in the battery management system, and calculating the remaining time for starting and recharging the low-voltage battery according to the low-voltage battery information and the battery consumption information;

[0008] A first real-time clock data is determined, and a power replenishment strategy for the low-voltage battery is determined according to the first real-time clock data and the remaining time for starting power replenishment.

[0009] As an optional implementation, in the first aspect of the present invention, the low-voltage battery information further includes system wake-up condition information, and the method further includes:

[0010] During the process of the battery management system being in power-down mode, determining the whole vehicle static power consumption information of the vehicle and second real-time clock data, wherein the whole vehicle static power consumption information includes the whole vehicle static power consumption current value and the whole vehicle static power consumption value;

[0011] According to the vehicle static power consumption information or the second real-time clock data, judging whether the battery management system meets the system wake-up condition information, and obtaining a judgment result, wherein the system wake-up condition information includes an overcurrent wake-up threshold or a timed wake-up time;

[0012] When the judgment result indicates that the battery management system meets the system wake-up condition information, the battery management system is woken up and triggered to execute the operation of detecting the battery consumption information during the power-down process of the battery management system.

[0013] As an optional implementation, in the first aspect of the present invention, judging whether the battery management system meets the system wake-up condition information according to the static power consumption information of the whole vehicle or the second real-time clock data, and obtaining the judgment result includes:

[0014] Determine whether the static power consumption current value of the whole vehicle is greater than the overcurrent wake-up threshold, and when the static power consumption current value of the whole vehicle is greater than the overcurrent wake-up threshold, determine that the battery management system meets the system wake-up condition information; or,

[0015] It is determined whether the second real-time clock data is equal to the scheduled wake-up time, and when the second real-time clock data is equal to the scheduled wake-up time, it is determined that the battery management system meets the system wake-up condition information.

[0016] As an optional implementation, in the first aspect of the present invention, the low-voltage battery information further includes battery capacity information, and the battery consumption information includes battery power consumption information;

[0017] The calculating the remaining time of starting and charging the low-voltage battery according to the low-voltage battery information and the battery consumption information includes:

[0018] Calculating second remaining power information of the low-voltage battery according to the first remaining power information and the battery consumption power information;

[0019] A preset system power replenishment wake-up threshold is obtained, and the remaining time for starting power replenishment of the low-voltage battery is calculated according to the battery capacity information, the second remaining power information, the system power replenishment wake-up threshold and the static power consumption value of the whole vehicle.

[0020] As an optional implementation, in the first aspect of the present invention, the calculating the remaining time for starting and replenishing power of the low-voltage battery according to the battery capacity information, the second remaining power information, the system replenishment power awakening threshold, and the vehicle static power consumption value includes:

[0021] Calculate the remaining startup power replenishment time of the low-voltage battery according to the battery capacity information, the second remaining power information, the system power replenishment wake-up threshold, the vehicle static power consumption value and a preset startup power replenishment remaining time calculation formula;

[0022] The calculation formula for the remaining time of starting the power replenishment includes:

[0023]

[0024] Wherein, T1 represents the remaining time of starting the power replenishment, Q 容 Indicates the battery capacity information, SOC 剩_2 Indicates the second remaining power information, SOC 设 represents the system power replenishment wake-up threshold, and i1 represents the static power consumption value of the whole vehicle.

[0025] As an optional implementation, in the first aspect of the present invention, determining the power replenishment strategy for the low-voltage battery according to the first real-time clock data and the remaining time for starting power replenishment includes:

[0026] Determine whether the first real-time clock data matches the remaining time for starting the power supplement, and when the first real-time clock data does not match the remaining time for starting the power supplement, obtain a preset power consumption redundancy setting value;

[0027] According to the static power consumption value of the whole vehicle and the power consumption redundancy setting value, the overcurrent wake-up threshold is updated, and the battery management system is controlled to power down and sleep;

[0028] When the first real-time clock data matches the remaining time for starting the power replenishment, the power replenishment operation for the low-voltage battery is performed through the battery management system.

[0029] As an optional implementation, in the first aspect of the present invention, the performing the charging operation for the low-voltage battery by the battery management system includes:

[0030] Waking up the vehicle controller of the vehicle through the battery management system and sending a battery recharging demand to the vehicle controller;

[0031] Determine whether the vehicle meets the battery charging requirement by the vehicle controller, and when the vehicle meets the battery charging requirement, control the high voltage on the vehicle and enable the power system of the vehicle by the vehicle controller;

[0032] The low-voltage battery is recharged by the power supply system, and when it is detected that the low-voltage battery meets a preset recharge completion condition, the vehicle controller is used to control the vehicle to perform a power-off sleep operation.

[0033] As an optional embodiment, in the first aspect of the present invention, the method further comprises:

[0034] Before the low-voltage battery of the vehicle enters power hibernation under the battery management system, determining high-voltage battery information of the high-voltage battery of the vehicle, wherein the high-voltage battery information includes remaining power information of the high-voltage battery;

[0035] determining whether the vehicle is in a low power consumption mode according to the high-voltage battery information, and when the vehicle is in the low power consumption mode, shutting down a battery charging function for the low-voltage battery through the battery management system;

[0036] When the vehicle is not in the low power consumption mode, the operation of determining the battery information of the low voltage battery is triggered.

[0037] A second aspect of the present invention discloses an intelligent charging device for a low-voltage battery of a vehicle, the device comprising:

[0038] A first determination module, used to determine low-voltage battery information of the low-voltage battery before the battery management system of the low-voltage battery of the vehicle goes into power hibernation, wherein the low-voltage battery information includes first remaining power information;

[0039] A detection module, used to detect the battery consumption information during the power-down process of the battery management system, and calculate the remaining time for starting and recharging the low-voltage battery according to the low-voltage battery information and the battery consumption information;

[0040] The first determination module is further used to determine first real-time clock data, and determine a power replenishment strategy for the low-voltage battery according to the first real-time clock data and the remaining time for starting power replenishment.

[0041] As an optional implementation, in the second aspect of the present invention, the low-voltage battery information further includes system wake-up condition information, and the device further includes:

[0042] A second determination module is used to determine the whole vehicle static power consumption information and second real-time clock data of the vehicle during the power dormancy of the battery management system, wherein the whole vehicle static power consumption information includes the whole vehicle static power consumption current value and the whole vehicle static power consumption value;

[0043] A first judgment module, configured to judge whether the battery management system satisfies the system wake-up condition information according to the vehicle static power consumption information or the second real-time clock data, and obtain a judgment result, wherein the system wake-up condition information includes an overcurrent wake-up threshold or a timed wake-up time;

[0044] The wake-up module is used to wake up the battery management system when the judgment result indicates that the battery management system meets the system wake-up condition information, and trigger the detection module to perform the operation of detecting the battery consumption information during the power-down process of the battery management system.

[0045] As an optional implementation, in the second aspect of the present invention, the first judgment module judges whether the battery management system meets the system wake-up condition information according to the static power consumption information of the whole vehicle or the second real-time clock data, and the way of obtaining the judgment result specifically includes:

[0046] Determine whether the static power consumption current value of the whole vehicle is greater than the overcurrent wake-up threshold, and when the static power consumption current value of the whole vehicle is greater than the overcurrent wake-up threshold, determine that the battery management system meets the system wake-up condition information; or,

[0047] It is determined whether the second real-time clock data is equal to the scheduled wake-up time, and when the second real-time clock data is equal to the scheduled wake-up time, it is determined that the battery management system meets the system wake-up condition information.

[0048] As an optional implementation, in the second aspect of the present invention, the low-voltage battery information further includes battery capacity information, and the battery consumption information includes battery power consumption information;

[0049] The method in which the detection module calculates the remaining time for starting and replenishing the low-voltage battery according to the low-voltage battery information and the battery consumption information specifically includes:

[0050] Calculating second remaining power information of the low-voltage battery according to the first remaining power information and the battery consumption power information;

[0051] A preset system power replenishment wake-up threshold is obtained, and the remaining time for starting power replenishment of the low-voltage battery is calculated according to the battery capacity information, the second remaining power information, the system power replenishment wake-up threshold and the static power consumption value of the whole vehicle.

[0052] As an optional implementation, in the second aspect of the present invention, the detection module calculates the remaining time for starting and replenishing power of the low-voltage battery according to the battery capacity information, the second remaining power information, the system replenishment wake-up threshold and the static power consumption value of the whole vehicle, specifically including:

[0053] Calculate the remaining startup power replenishment time of the low-voltage battery according to the battery capacity information, the second remaining power information, the system power replenishment wake-up threshold, the vehicle static power consumption value and a preset startup power replenishment remaining time calculation formula;

[0054] The calculation formula for the remaining time of starting the power replenishment includes:

[0055]

[0056] Wherein, T1 represents the remaining time of starting the power replenishment, Q 容 Indicates the battery capacity information, SOC 剩_2 Indicates the second remaining power information, SOC 设 represents the system power replenishment wake-up threshold, and i1 represents the static power consumption value of the whole vehicle.

[0057] As an optional implementation, in the second aspect of the present invention, the first determination module determines the power replenishment strategy for the low-voltage battery according to the first real-time clock data and the remaining time for starting power replenishment, specifically including:

[0058] Determine whether the first real-time clock data matches the remaining time for starting the power supplement, and when the first real-time clock data does not match the remaining time for starting the power supplement, obtain a preset power consumption redundancy setting value;

[0059] According to the static power consumption value of the whole vehicle and the power consumption redundancy setting value, the overcurrent wake-up threshold is updated, and the battery management system is controlled to power down and sleep;

[0060] When the first real-time clock data matches the remaining time for starting the power replenishment, the power replenishment operation for the low-voltage battery is performed through the battery management system.

[0061] As an optional implementation, in the second aspect of the present invention, the first determination module performs the charging operation for the low-voltage battery through the battery management system specifically including:

[0062] Waking up the vehicle controller of the vehicle through the battery management system and sending a battery recharging demand to the vehicle controller;

[0063] Determine whether the vehicle meets the battery charging requirement by the vehicle controller, and when the vehicle meets the battery charging requirement, control the high voltage on the vehicle and enable the power system of the vehicle by the vehicle controller;

[0064] The low-voltage battery is recharged by the power supply system, and when it is detected that the low-voltage battery meets a preset recharge completion condition, the vehicle controller is used to control the vehicle to perform a power-off sleep operation.

[0065] As an optional implementation, in the second aspect of the present invention, the device further includes:

[0066] A third determination module, used to determine high-voltage battery information of the high-voltage battery of the vehicle before the battery management system of the low-voltage battery of the vehicle goes into electrical hibernation, wherein the high-voltage battery information includes remaining power information of the high-voltage battery;

[0067] The second judgment module is used to judge whether the vehicle is in a low power consumption mode based on the high-voltage battery information. When the vehicle is in the low power consumption mode, the battery management system is used to turn off the battery charging function for the low-voltage battery; when the vehicle is not in the low power consumption mode, the first determination module is triggered to perform the operation of determining the battery information of the low-voltage battery.

[0068] The third aspect of the present invention discloses another intelligent charging device for a low-voltage battery of a vehicle, the device comprising:

[0069] A memory storing executable program code;

[0070] a processor coupled to the memory;

[0071] The processor calls the executable program code stored in the memory to execute the intelligent charging method for the vehicle low-voltage battery disclosed in the first aspect of the present invention.

[0072] The fourth aspect of the present invention discloses a computer storage medium, which stores computer instructions. When the computer instructions are called, they are used to execute the intelligent charging method for the vehicle low-voltage battery disclosed in the first aspect of the present invention.

[0073] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0074] In an embodiment of the present invention, before the battery management system of the low-voltage battery of the vehicle goes into power-down mode, the low-voltage battery information of the low-voltage battery is determined, the battery consumption information during the power-down mode of the battery management system is detected, and the remaining time for starting the power replenishment of the low-voltage battery is calculated based on the low-voltage battery information and the battery consumption information, and the first real-time clock data is determined, and the power replenishment strategy for the low-voltage battery is determined based on the first real-time clock data and the remaining time for starting the power replenishment. It can be seen that the implementation of the present invention can improve the intelligence and timeliness of power replenishment for low-voltage batteries without changing the hardware design, reduce the risk of battery power feeding, and thereby improve the safety and stability of the entire vehicle and improve the user experience of the vehicle. BRIEF DESCRIPTION OF THE DRAWINGS

[0075] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0076] Figure 1 It is a flow chart of a method for intelligently charging a low-voltage battery of a vehicle disclosed in an embodiment of the present invention;

[0077] Figure 2 It is a flow chart of another intelligent charging method for a low-voltage battery of a vehicle disclosed in an embodiment of the present invention;

[0078] Figure 3 This is a schematic diagram of a vehicle intelligent charging structure disclosed in an embodiment of the present invention;

[0079] Figure 4 It is a structural schematic diagram of an intelligent charging device for a low-voltage battery of a vehicle disclosed in an embodiment of the present invention;

[0080] Figure 5 It is a structural schematic diagram of another intelligent charging device for a low-voltage battery of a vehicle disclosed in an embodiment of the present invention;

[0081] Figure 6 It is a structural schematic diagram of another intelligent charging device for a vehicle low-voltage battery disclosed in an embodiment of the present invention. DETAILED DESCRIPTION

[0082] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0083] The terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish different objects rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, device, product or end including a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units that are not listed, or may optionally include other steps or units inherent to these processes, methods, products or ends.

[0084] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0085] The present invention discloses an intelligent charging method and device for low-voltage batteries in vehicles, and a computer storage medium, which can improve the intelligence and timeliness of charging low-voltage batteries without changing the hardware design, reduce the risk of battery feeding, and thus improve the safety and stability of the entire vehicle, and improve the user's car experience. The following are detailed descriptions.

[0086] Embodiment 1

[0087] See also Figure 1 , Figure 1 1 is a flow chart of a method for intelligently charging a low-voltage battery of a vehicle disclosed in an embodiment of the present invention. Figure 1 The intelligent charging method for a vehicle low-voltage battery described herein can be applied to a new energy smart car, which may include a low-voltage battery, a high-voltage battery, and an intelligent charging device for the vehicle low-voltage battery, wherein the intelligent charging device for the vehicle low-voltage battery may include an intelligent server or an intelligent platform for intelligently determining a charging strategy for the low-voltage battery, and the intelligent server includes a local server or a cloud server, which is not limited in the embodiments of the present invention. Figure 1 As shown, the intelligent charging method for the low-voltage battery of the vehicle may include the following operations:

[0088] 101. Before the low-voltage battery of the vehicle enters power-down mode in the battery management system, determine low-voltage battery information of the low-voltage battery.

[0089] In the embodiment of the present invention, the vehicle may include a new energy smart vehicle, the vehicle may include a low-voltage battery, and may also include a high-voltage battery. The low-voltage battery may be a 12V lithium battery. When the vehicle is powered off and in sleep mode, the battery management system LBMS of the low-voltage battery will also be powered off and in sleep mode. The low-voltage battery information of the low-voltage battery may include the first remaining power information SOC of the low-voltage battery. 剩_1 , i.e., the remaining power of the low-voltage battery at the time when the vehicle is off. The low-voltage battery information may also include system wake-up condition information, i.e., the conditions for determining whether to wake up the battery management system of the low-voltage battery, which is not limited in the present invention.

[0090] 102. Detect the battery consumption information during the power-down sleep process of the battery management system, and calculate the remaining time for starting and recharging the low-voltage battery according to the low-voltage battery information and the battery consumption information.

[0091] In an embodiment of the present invention, optionally, when the battery management system of the low-voltage battery is powered off and in hibernation, the static power consumption of the vehicle continues to consume the power of the low-voltage battery. The battery consumption information of the battery management system during the power-off and hibernation process can be detected, and the remaining time T1 for starting and replenishing the low-voltage battery can be calculated based on the low-voltage battery information and the battery consumption information, that is, the time required to start replenishing the low-voltage battery, which is not limited by the present invention.

[0092] 103. Determine first real-time clock data, and determine a power replenishment strategy for the low-voltage battery according to the first real-time clock data and the remaining time for starting power replenishment.

[0093] In an embodiment of the present invention, optionally, real-time clock data (RTC) is an electronic component that can continuously run in a device and accurately record time, and can continuously record the current time, including year, month, day, hour, minute, second, etc., and may even include day of the week and time zone information. In an embodiment of the present invention, the first real-time clock data t1 can be obtained by the battery management system of the low-voltage battery through RTC clock timing, and the power replenishment strategy for the low-voltage battery can be determined based on the first real-time clock data and the remaining time for starting the power replenishment, that is, when the first real-time clock data matches the remaining time for starting the power replenishment, the low-voltage battery is recharged, and the present invention does not limit this.

[0094] It can be seen that implementation Figure 1 The described intelligent charging method for a vehicle's low-voltage battery can determine the low-voltage battery information of a low-voltage battery before the battery management system of the vehicle's low-voltage battery goes into hibernation, detect the battery consumption information during the power-down process of the battery management system, and calculate the remaining time for starting and charging the low-voltage battery based on the low-voltage battery information and the battery consumption information, determine the first real-time clock data, and determine the charging strategy for the low-voltage battery based on the first real-time clock data and the remaining time for starting and charging. It can intelligently calculate the starting and charging time for the low-voltage battery based on the battery information, and then automatically charge the low-voltage battery, thereby improving the intelligence and timeliness of charging the low-voltage battery without changing the hardware design, reducing the risk of battery feeding, and thereby improving the safety and stability of the entire vehicle and improving the user experience.

[0095] In an optional embodiment, the intelligent charging method for the low-voltage battery of the vehicle may further include the following operations:

[0096] Before the battery management system of the low-voltage battery of the vehicle goes into power-down mode, determining high-voltage battery information of the high-voltage battery of the vehicle, the high-voltage battery information including remaining power information of the high-voltage battery;

[0097] Determine whether the vehicle is in low power consumption mode based on the high voltage battery information. When the vehicle is in low power consumption mode, disable the battery charging function for the low voltage battery through the battery management system.

[0098] When the vehicle is not in the low power consumption mode, an operation of determining battery information of the low voltage battery is triggered.

[0099] In this optional embodiment, optionally, before the battery management system of the vehicle's low-voltage battery goes into sleep mode, high-voltage battery information of the vehicle's high-voltage battery can be determined. The high-voltage battery information can include high-voltage battery remaining power information. Whether the vehicle is in low power consumption mode can be determined based on the high-voltage battery information. Specifically, when the high-voltage battery remaining power of the high-voltage battery is lower than a preset power threshold, it can be determined that the vehicle is in low-voltage power consumption mode. At this time, the vehicle's vehicle controller VCU will send low-power consumption mode information to the battery management system of the low-voltage battery, and shut down the battery recharging function for the low-voltage battery through the battery management system. This is not limited to this in this embodiment.

[0100] In this optional embodiment, optionally, when the vehicle is not in low power consumption mode, that is, when the remaining power information of the high-voltage battery of the vehicle's high-voltage battery can meet the charging operation for the low-voltage battery, the battery charging function for the low-voltage battery can be kept turned on, and the operation of determining the battery information of the low-voltage battery can be triggered, which is not limited in this embodiment.

[0101] It can be seen that the implementation of this optional embodiment can determine the high-voltage battery information of the vehicle's high-voltage battery before the battery management system of the vehicle's low-voltage battery goes into sleep mode, and determine whether the vehicle is in a low-power consumption mode based on the high-voltage battery information. When the vehicle is in a low-power consumption mode, the battery management system is used to turn off the battery charging function for the low-voltage battery. When the vehicle is not in a low-power consumption mode, the operation of determining the battery information of the low-voltage battery is triggered, and the charging function for the low-voltage battery can be turned off when the vehicle is in a low-power consumption mode, thereby ensuring the power demand of the entire vehicle, reducing the risk of power feeding of the entire vehicle, improving the safety and stability of the entire vehicle, and improving the user's vehicle experience.

[0102] Embodiment 2

[0103] See also Figure 2 , Figure 2 1 is a flow chart of a method for intelligently charging a low-voltage battery of a vehicle disclosed in an embodiment of the present invention. Figure 2The intelligent charging method for a vehicle low-voltage battery described herein can be applied to a new energy smart car, which may include a low-voltage battery, a high-voltage battery, and an intelligent charging device for the vehicle low-voltage battery, wherein the intelligent charging device for the vehicle low-voltage battery may include an intelligent server or an intelligent platform for intelligently determining a charging strategy for the low-voltage battery, and the intelligent server includes a local server or a cloud server, which is not limited in the embodiments of the present invention. Figure 2 As shown, the intelligent charging method for the low-voltage battery of the vehicle may include the following operations:

[0104] 201. Before the low-voltage battery of the vehicle enters power hibernation in a battery management system, determine low-voltage battery information of the low-voltage battery.

[0105] 202. During the power-down process of the battery management system, determine the static power consumption information of the vehicle and the second real-time clock data.

[0106] In an embodiment of the present invention, optionally, during the process of power-down under the battery management system, the vehicle's whole vehicle static power consumption information and the second real-time clock data t2 can be continuously monitored and determined, wherein the real-time clock data is data that changes continuously and stably, that is, the second real-time clock data can be the same as or different from the first real-time clock data, and the whole vehicle static power consumption information can include the whole vehicle static power consumption current value i and the whole vehicle static power consumption value i1, which is not limited by the present invention.

[0107] 203. According to the static power consumption information of the whole vehicle or the second real-time clock data, determine whether the battery management system meets the system wake-up condition information, and obtain a determination result.

[0108] In an embodiment of the present invention, optionally, the low-voltage battery information may include first remaining power information of the low-voltage battery, i.e., the remaining power of the low-voltage battery at the time when the vehicle gets off the vehicle. The low-voltage battery information may also include system wake-up condition information, i.e., the conditions for determining whether to wake up the battery management system of the low-voltage battery. The system wake-up condition information may include an overcurrent wake-up threshold I or a timed wake-up time X, which is not limited by the present invention.

[0109] 204. When the judgment result indicates that the battery management system meets the system awakening condition information, the battery management system is awakened, and the battery management system is triggered to execute an operation of detecting the battery consumption information during the power-up process of the battery management system.

[0110] In an embodiment of the present invention, optionally, when the judgment result indicates that the battery management system meets the system wake-up condition information, the battery management system can be awakened, and the battery management system can be triggered to execute the operation of detecting the battery consumption information during the power-on hibernation process of the battery management system. After waking up the battery management system, the battery management system can calculate the remaining time for starting and recharging the low-voltage battery, and determine the recharging strategy for the low-voltage battery, which is not limited by the present invention.

[0111] 205. Calculate the remaining time for starting and recharging the low-voltage battery according to the low-voltage battery information and the battery consumption information.

[0112] 206. Determine first real-time clock data, and determine a power replenishment strategy for the low-voltage battery according to the first real-time clock data and the remaining time for starting power replenishment.

[0113] In the embodiment of the present invention, for other descriptions of step 201, step 205 and step 206, please refer to the detailed description of step 101 to step 103 in the first embodiment of the present invention, and the embodiment of the present invention will not be repeated.

[0114] It can be seen that implementation Figure 2 The described intelligent charging method for a vehicle's low-voltage battery can determine the low-voltage battery information of the low-voltage battery before the battery management system of the vehicle's low-voltage battery goes into power-down mode, and during the power-down mode of the battery management system, determine the vehicle's entire static power consumption information and a second real-time clock data, and determine whether the battery management system meets the system wake-up condition information based on the vehicle's entire static power consumption information or the second real-time clock data to obtain a judgment result. When the judgment result indicates that the battery management system meets the system wake-up condition information, the battery management system is woken up, and the battery management system is triggered to perform an operation of detecting the battery consumption information during the power-down mode of the battery management system, and the system can be woken up when the vehicle's entire power consumption or the real-time clock meets the system wake-up condition. The battery management system is awakened, and then the battery is intelligently recharged through the battery management system, thereby improving the intelligence, accuracy and timeliness of battery recharging. According to the low-voltage battery information and battery consumption information, the remaining time for starting and recharging the low-voltage battery is calculated, and the first real-time clock data is determined. According to the first real-time clock data and the remaining time for starting and recharging, a recharging strategy for the low-voltage battery is determined. The starting and recharging time for the low-voltage battery can be intelligently calculated based on the battery information, and then the low-voltage battery is automatically recharged. Without changing the hardware design, the intelligence and timeliness of recharging the low-voltage battery are improved, the battery feeding risk is reduced, and then the safety and stability of the whole vehicle are improved, and the user experience of the vehicle is improved.

[0115] In an optional embodiment, judging whether the battery management system meets the system wake-up condition information according to the static power consumption information of the whole vehicle or the second real-time clock data, and obtaining the judgment result may include the following operations:

[0116] Determine whether the static power consumption current value of the whole vehicle is greater than the overcurrent wake-up threshold. When the static power consumption current value of the whole vehicle is greater than the overcurrent wake-up threshold, determine that the battery management system meets the system wake-up condition information; or,

[0117] It is determined whether the second real-time clock data is equal to the scheduled wake-up time. When the second real-time clock data is equal to the scheduled wake-up time, it is determined that the battery management system meets the system wake-up condition information.

[0118] In this optional embodiment, it is optional to determine whether the static power consumption current value i of the whole vehicle is greater than the overcurrent wake-up threshold i1. When the static power consumption current value of the whole vehicle is greater than the overcurrent wake-up threshold, it is determined that the battery management system meets the system wake-up condition information, and then wakes up the battery management system, and collects relevant information of the low-voltage battery and the vehicle through the battery management system, calculates the remaining time for starting and replenishing the low-voltage battery, and determines whether to replenish the low-voltage battery through the first real-time clock data and the remaining time for starting and replenishing the battery. When the low-voltage battery is not replenished, the battery management system is controlled to power off and sleep. This embodiment does not make any limitations.

[0119] In this optional embodiment, it is optional to determine whether the second real-time clock data t2 is equal to the scheduled wake-up time X. When the second real-time clock data is equal to the scheduled wake-up time, it is determined that the battery management system meets the system wake-up condition information, and then the battery management system is awakened, and the battery management system collects relevant information of the low-voltage battery and the vehicle, calculates the remaining time for starting and replenishing the low-voltage battery, and determines whether to replenish the low-voltage battery through the first real-time clock data and the remaining time for starting and replenishing the battery. When the low-voltage battery is not replenished, the battery management system is controlled to power off and sleep. This embodiment does not make any limitation.

[0120] It can be seen that the implementation of this optional embodiment can determine whether the battery management system meets the system wake-up condition information by judging whether the static power consumption current value of the whole vehicle is greater than the overcurrent wake-up threshold, or by judging whether the second real-time clock data is equal to the scheduled wake-up time, and wake up the battery management system when any condition is met, thereby improving the timeliness and intelligence of battery recharging and reducing the risk of battery feeding.

[0121] In another optional embodiment, the low-voltage battery information further includes battery capacity information, and the battery consumption information includes battery power consumption information;

[0122] According to the low-voltage battery information and the battery consumption information, calculating the remaining time for starting and replenishing the low-voltage battery may include the following operations:

[0123] Calculating second remaining power information of the low-voltage battery according to the first remaining power information and the battery consumption power information;

[0124] The preset system power replenishment wake-up threshold is obtained, and the remaining time for starting and replenishing the low-voltage battery is calculated according to the battery capacity information, the second remaining power information, the system power replenishment wake-up threshold and the static power consumption value of the whole vehicle.

[0125] In this optional embodiment, optionally, the low-voltage battery information may include first remaining power information of the low-voltage battery, i.e., the remaining power of the low-voltage battery at the moment the vehicle gets off the vehicle. The low-voltage battery information may also include system wake-up condition information, i.e., the conditions for determining whether to wake up the battery management system of the low-voltage battery. The low-voltage battery information may also include battery capacity information. The battery consumption information during the power-on hibernation process of the battery management system may include battery consumption power information, which is not limited in this embodiment.

[0126] In this optional embodiment, the second remaining power information of the low-voltage battery can be calculated according to the first remaining power information and the battery consumption power information. Specifically, SOC 剩_2 =SOC 剩_1 -N1, where SOC 剩_2 Indicates the second remaining power information, SOC 剩_1 It represents the first remaining power information, N1 represents the battery consumption power information, and then the preset system power replenishment wake-up threshold can be obtained, and the remaining time for starting and replenishing the low-voltage battery can be calculated according to the battery capacity information, the second remaining power information, the system power replenishment wake-up threshold and the static power consumption value of the whole vehicle, wherein the system power replenishment wake-up threshold can be pre-set according to the battery characteristics and vehicle parameters, which is not limited in this embodiment.

[0127] It can be seen that the implementation of this optional embodiment can calculate the second remaining power information of the low-voltage battery according to the first remaining power information and the battery consumption power information, obtain the preset system power replenishment wake-up threshold, and calculate the remaining time for starting power replenishment of the low-voltage battery according to the battery capacity information, the second remaining power information, the system power replenishment wake-up threshold and the static power consumption value of the whole vehicle. The remaining time for starting power replenishment can be calculated based on the remaining power information of the low-voltage battery and the relevant threshold information, thereby improving the accuracy and reliability of calculating the remaining time for starting power replenishment, thereby improving the accuracy, timeliness and intelligence of power replenishment for the low-voltage battery, reducing the risk of battery power feeding, and improving the user experience of the vehicle.

[0128] In another optional embodiment, according to the battery capacity information, the second remaining power information, the system power replenishment wake-up threshold, and the static power consumption value of the whole vehicle, calculating the remaining time for starting the power replenishment of the low-voltage battery may include the following operations:

[0129] Calculate the remaining startup and charging time of the low-voltage battery according to the battery capacity information, the second remaining power information, the system charging wake-up threshold, the static power consumption value of the whole vehicle, and the preset startup and charging remaining time calculation formula;

[0130] Among them, the calculation formula for the remaining time of starting power replenishment includes:

[0131]

[0132] Among them, T1 represents the remaining time for starting the power replenishment, Q 容 Indicates battery capacity information, SOC 剩_2 Indicates the second remaining power information, SOC 设 It indicates the system power replenishment wake-up threshold, and i1 indicates the static power consumption value of the whole vehicle.

[0133] In this optional embodiment, the remaining startup charging time of the low-voltage battery can be calculated according to the battery capacity information, the second remaining power information, the system charging wake-up threshold, the vehicle static power consumption value and the preset startup charging remaining time calculation formula, where T1 represents the remaining startup charging time, Q 容 Indicates battery capacity information, SOC 剩_2 Indicates the second remaining power information, SOC 设 represents the system power replenishment wake-up threshold, i1 represents the static power consumption value of the whole vehicle, and the system power replenishment wake-up threshold can be pre-set according to battery characteristics and vehicle parameters, and this implementation does not limit it.

[0134] It can be seen that the implementation of this optional embodiment can calculate the second remaining power information of the low-voltage battery according to the first remaining power information and the battery consumption power information, obtain the preset system power replenishment wake-up threshold, and calculate the remaining time for starting power replenishment of the low-voltage battery according to the battery capacity information, the second remaining power information, the system power replenishment wake-up threshold and the static power consumption value of the whole vehicle. The remaining time for starting power replenishment can be calculated based on the remaining power information of the low-voltage battery and the relevant threshold information, thereby improving the accuracy and reliability of calculating the remaining time for starting power replenishment, thereby improving the accuracy, timeliness and intelligence of power replenishment for the low-voltage battery, reducing the risk of battery power feeding, and improving the user experience of the vehicle.

[0135] In yet another optional embodiment, determining the power replenishment strategy for the low-voltage battery according to the first real-time clock data and the remaining time for starting the power replenishment may include the following operations:

[0136] Determine whether the first real-time clock data matches the remaining time for starting the power replenishment, and when the first real-time clock data does not match the remaining time for starting the power replenishment, obtain a preset power consumption redundancy setting value;

[0137] According to the static power consumption value of the vehicle and the power consumption redundancy setting value, the overcurrent wake-up threshold is updated, and the battery management system is controlled to power off and sleep;

[0138] When the first real-time clock data matches the remaining time for starting the power replenishment, the power replenishment operation for the low-voltage battery is performed through the battery management system.

[0139] In this optional embodiment, it is optional to determine whether the first real-time clock data matches the remaining time for starting the power replenishment. Specifically, it is possible to determine whether the first real-time clock data t1 is equal to the remaining time T1 for starting the power replenishment. When the first real-time clock data t1 is not equal to the remaining time T1 for starting the power replenishment, it indicates that the first real-time clock data does not match the remaining time for starting the power replenishment. At this time, a preset power consumption redundancy setting value N can be obtained. The power consumption redundancy setting value N can be determined by vehicle engineering personnel based on low-voltage battery parameters and / or vehicle parameters. According to the static power consumption value of the whole vehicle and the power consumption redundancy setting value, the overcurrent wake-up threshold is updated, and the battery management system is controlled to power off and sleep. Specifically, I=i1+N, wherein I represents the overcurrent wake-up threshold, i1 represents the static power consumption value of the whole vehicle, and N represents the power consumption redundancy setting value. After the battery management system powers off and sleeps this time, it is determined whether to wake up the battery management system based on the updated overcurrent wake-up threshold. This embodiment does not limit this.

[0140] In this optional embodiment, optionally, when the first real-time clock data t1 is equal to the remaining time T1 for starting the power replenishment, it means that the first real-time clock data matches the remaining time for starting the power replenishment, and the power replenishment operation for the low-voltage battery can be performed by the battery management system, which is not limited in this embodiment.

[0141] It can be seen that the implementation of this optional embodiment can determine whether the first real-time clock data matches the remaining time for starting the power replenishment. When the first real-time clock data does not match the remaining time for starting the power replenishment, the preset power consumption redundancy setting value is obtained, and the overcurrent wake-up threshold is updated according to the static power consumption value of the whole vehicle and the power consumption redundancy setting value, and the battery management system is controlled to power off and sleep. When the first real-time clock data matches the remaining time for starting the power replenishment, the power replenishment operation for the low-voltage battery is performed through the battery management system. When the low-voltage battery does not need to be recharged, the overcurrent wake-up threshold can be updated for the next judgment on whether to wake up the battery management system, thereby improving the accuracy and reliability of each judgment on whether to wake up the battery management system, thereby improving the overall accuracy and intelligence of battery recharging.

[0142] In yet another optional embodiment, performing a charging operation for a low-voltage battery through a battery management system may include the following operations:

[0143] The battery management system wakes up the vehicle controller and sends the battery recharging request to the vehicle controller;

[0144] The vehicle controller determines whether the vehicle meets the battery charging demand. When the vehicle meets the battery charging demand, the vehicle controller controls the high voltage on the vehicle and enables the vehicle's power system;

[0145] The low-voltage battery is recharged through the power system, and when it is detected that the low-voltage battery meets the preset recharge completion conditions, the vehicle controller controls the vehicle to perform power-off sleep operation.

[0146] In this optional embodiment, optionally, as Figure 3 As shown, Figure 3 is a schematic diagram of a vehicle intelligent charging structure disclosed in an embodiment of the present invention. The specific control structure process of performing the charging operation for the low-voltage battery through the battery management system can be as follows Figure 3 As shown, specifically, the vehicle controller VCU of the vehicle can be awakened by the battery management system LBMS, and a battery charging demand can be sent to the vehicle controller VCU. The vehicle controller VCU determines whether the vehicle meets the battery charging demand. Specifically, the vehicle controller VCU determines whether the current state of the vehicle meets the battery charging demand, or the vehicle controller VCU determines whether the vehicle is allowed to perform the charging operation corresponding to the battery charging demand, that is, determines whether the battery charging demand is legal, which is not limited in this embodiment.

[0147] In this optional embodiment, optionally, as Figure 3 As shown, when the vehicle does not meet the battery charging demand, the battery management system LBMS automatically shuts down the intelligent charging function for the low-voltage battery. When the vehicle meets the battery charging demand, the vehicle controller VCU controls the high voltage on the vehicle (wakes up the power battery) and enables the vehicle's power system DCDC. The power battery controls the closure of the high-voltage loop and the high-voltage output, and the low-voltage battery is recharged through the power system DCDC. When it is detected that the low-voltage battery meets the preset charging completion conditions, the vehicle controller VCU controls the vehicle to perform a power-off sleep operation. Specifically, whether the low-voltage battery meets the preset charging completion conditions can be determined by detecting the vehicle status and / or the low-voltage battery status, which is not limited in this embodiment.

[0148] It can be seen that the implementation of this optional embodiment can wake up the vehicle's whole vehicle controller through the battery management system, and send a battery charging demand to the whole vehicle controller, and determine whether the vehicle meets the battery charging demand through the whole vehicle controller. When the vehicle meets the battery charging demand, the whole vehicle controller controls the high voltage on the whole vehicle and enables the vehicle's power system, and charges the low-voltage battery through the power system. When it is detected that the low-voltage battery meets the preset charging completion conditions, the whole vehicle controller controls the vehicle to perform a power-off sleep operation, thereby improving the intelligence and timeliness of low-voltage battery charging without changing the hardware design, reducing the risk of battery feeding, and thereby improving the safety and stability of the whole vehicle, and improving the user experience.

[0149] Embodiment 3

[0150] See also Figure 4 , Figure 4 Schematic diagram of the structure of an intelligent charging device for a low-voltage battery of a vehicle disclosed in an embodiment of the present invention. Figure 4 The intelligent charging device for the low-voltage battery of a vehicle described above can be applied to a new energy smart car, which may include a low-voltage battery, a high-voltage battery, and an intelligent charging device for the low-voltage battery of the vehicle, wherein the intelligent charging device for the low-voltage battery of the vehicle may include an intelligent server or an intelligent platform for intelligently determining the charging strategy for the low-voltage battery, and the intelligent server includes a local server or a cloud server, which is not limited in the embodiments of the present invention. Figure 4 As shown, the intelligent charging device for the low-voltage battery of the vehicle may include:

[0151] A first determination module 301 is used to determine low-voltage battery information of a low-voltage battery before the battery management system of the low-voltage battery of the vehicle goes into power hibernation, where the low-voltage battery information includes first remaining power information;

[0152] The detection module 302 is used to detect the battery consumption information during the power-down process of the battery management system, and calculate the remaining time for starting and charging the low-voltage battery according to the low-voltage battery information and the battery consumption information;

[0153] The first determination module 301 is further used to determine the first real-time clock data, and determine the power replenishment strategy for the low-voltage battery according to the first real-time clock data and the remaining time for starting the power replenishment.

[0154] It can be seen that the implementation Figure 4 The described intelligent charging device for the vehicle's low-voltage battery can determine the low-voltage battery information of the low-voltage battery before the battery management system of the vehicle's low-voltage battery goes into hibernation, detect the battery consumption information during the power-on hibernation process of the battery management system, and calculate the remaining time for starting and charging the low-voltage battery based on the low-voltage battery information and the battery consumption information, determine the first real-time clock data, and determine the charging strategy for the low-voltage battery based on the first real-time clock data and the remaining time for starting and charging. It can intelligently calculate the starting and charging time for the low-voltage battery based on the battery information, and then automatically charge the low-voltage battery, thereby improving the intelligence and timeliness of charging the low-voltage battery without changing the hardware design, reducing the risk of battery feeding, and thereby improving the safety and stability of the entire vehicle and improving the user experience.

[0155] In an optional embodiment, if Figure 5 As shown, the low-voltage battery information also includes system wake-up condition information, and the intelligent charging device for the low-voltage battery of the vehicle may also include:

[0156] The second determination module 303 is used to determine the whole vehicle static power consumption information and the second real-time clock data of the vehicle during the power dormancy of the battery management system, wherein the whole vehicle static power consumption information includes the whole vehicle static power consumption current value and the whole vehicle static power consumption value;

[0157] A first judgment module 304 is used to judge whether the battery management system meets the system wake-up condition information according to the static power consumption information of the whole vehicle or the second real-time clock data, and obtain a judgment result, where the system wake-up condition information includes an overcurrent wake-up threshold or a timed wake-up time;

[0158] The awakening module 305 is used to awaken the battery management system when the judgment result indicates that the battery management system meets the system awakening condition information, and trigger the detection module 302 to execute the operation of detecting the battery consumption information during the power-down process of the battery management system.

[0159] It can be seen that implementation Figure 5 The described intelligent charging device for the vehicle's low-voltage battery can determine the low-voltage battery information of the low-voltage battery before the battery management system of the vehicle's low-voltage battery goes into power-down mode, and during the power-down mode of the battery management system, determine the vehicle's entire static power consumption information and the second real-time clock data, and determine whether the battery management system meets the system wake-up condition information based on the vehicle's entire static power consumption information or the second real-time clock data to obtain a judgment result. When the judgment result indicates that the battery management system meets the system wake-up condition information, the battery management system is woken up, and the battery management system is triggered to perform an operation of detecting the battery consumption information during the power-down mode of the battery management system, and can wake up the system when the vehicle power consumption or the real-time clock meets the system wake-up condition. The battery management system is awakened, and then the battery is intelligently recharged through the battery management system, thereby improving the intelligence, accuracy and timeliness of battery recharging. According to the low-voltage battery information and battery consumption information, the remaining time for starting and recharging the low-voltage battery is calculated, and the first real-time clock data is determined. According to the first real-time clock data and the remaining time for starting and recharging, a recharging strategy for the low-voltage battery is determined. The starting and recharging time for the low-voltage battery can be intelligently calculated based on the battery information, and then the low-voltage battery is automatically recharged. Without changing the hardware design, the intelligence and timeliness of recharging the low-voltage battery are improved, the battery feeding risk is reduced, and then the safety and stability of the whole vehicle are improved, and the user experience of the vehicle is improved.

[0160] In another optional embodiment, Figure 5 As shown, the first judgment module 304 judges whether the battery management system meets the system wake-up condition information according to the static power consumption information of the whole vehicle or the second real-time clock data, and the specific method of obtaining the judgment result includes:

[0161] Determine whether the static power consumption current value of the whole vehicle is greater than the overcurrent wake-up threshold. When the static power consumption current value of the whole vehicle is greater than the overcurrent wake-up threshold, determine that the battery management system meets the system wake-up condition information; or,

[0162] It is determined whether the second real-time clock data is equal to the scheduled wake-up time. When the second real-time clock data is equal to the scheduled wake-up time, it is determined that the battery management system meets the system wake-up condition information.

[0163] It can be seen that implementation Figure 5 The described intelligent charging device for the vehicle low-voltage battery can determine whether the battery management system meets the system wake-up condition information by judging whether the static power consumption current value of the whole vehicle is greater than the overcurrent wake-up threshold, or by judging whether the second real-time clock data is equal to the scheduled wake-up time, and wake up the battery management system when any condition is met, thereby improving the timeliness and intelligence of battery charging and reducing the risk of battery feeding.

[0164] In yet another optional embodiment, Figure 5 As shown, the low-voltage battery information also includes battery capacity information, and the battery consumption information includes battery power consumption information;

[0165] The specific method in which the detection module 302 calculates the remaining time for starting and charging the low-voltage battery according to the low-voltage battery information and the battery consumption information includes:

[0166] Calculating second remaining power information of the low-voltage battery according to the first remaining power information and the battery consumption power information;

[0167] The preset system power replenishment wake-up threshold is obtained, and the remaining time for starting and replenishing the low-voltage battery is calculated according to the battery capacity information, the second remaining power information, the system power replenishment wake-up threshold and the static power consumption value of the whole vehicle.

[0168] It can be seen that implementation Figure 5 The described intelligent charging device for the vehicle's low-voltage battery can calculate the second remaining power information of the low-voltage battery based on the first remaining power information and the battery consumption power information, obtain a preset system charging wake-up threshold, and calculate the remaining time for starting charging of the low-voltage battery based on the battery capacity information, the second remaining power information, the system charging wake-up threshold and the static power consumption value of the whole vehicle. It can calculate the remaining time for starting charging based on the remaining power information of the low-voltage battery and related threshold information, thereby improving the accuracy and reliability of calculating the remaining time for starting charging, thereby improving the accuracy, timeliness and intelligence of charging the low-voltage battery, reducing the risk of battery feeding, and improving the user experience of the vehicle.

[0169] In yet another optional embodiment, Figure 5As shown, the detection module 302 calculates the remaining time for starting and replenishing the low-voltage battery according to the battery capacity information, the second remaining power information, the system replenishment wake-up threshold, and the static power consumption value of the vehicle, including:

[0170] Calculate the remaining startup and charging time of the low-voltage battery according to the battery capacity information, the second remaining power information, the system charging wake-up threshold, the static power consumption value of the whole vehicle, and the preset startup and charging remaining time calculation formula;

[0171] Among them, the calculation formula for the remaining time of starting power replenishment includes:

[0172]

[0173] Among them, T1 represents the remaining time for starting the power replenishment, Q 容 Indicates battery capacity information, SOC 剩_2 Indicates the second remaining power information, SOC 设 It indicates the system power replenishment wake-up threshold, and i1 indicates the static power consumption value of the whole vehicle.

[0174] It can be seen that implementation Figure 5 The described intelligent charging device for the vehicle's low-voltage battery can calculate the second remaining power information of the low-voltage battery based on the first remaining power information and the battery consumption power information, obtain a preset system charging wake-up threshold, and calculate the remaining time for starting charging of the low-voltage battery based on the battery capacity information, the second remaining power information, the system charging wake-up threshold and the static power consumption value of the whole vehicle. It can calculate the remaining time for starting charging based on the remaining power information of the low-voltage battery and related threshold information, thereby improving the accuracy and reliability of calculating the remaining time for starting charging, thereby improving the accuracy, timeliness and intelligence of charging the low-voltage battery, reducing the risk of battery feeding, and improving the user experience of the vehicle.

[0175] In yet another optional embodiment, Figure 5 As shown, the first determination module 301 determines the specific manner of the power replenishment strategy for the low-voltage battery according to the first real-time clock data and the remaining time for starting the power replenishment, including:

[0176] Determine whether the first real-time clock data matches the remaining time for starting the power replenishment, and when the first real-time clock data does not match the remaining time for starting the power replenishment, obtain a preset power consumption redundancy setting value;

[0177] According to the static power consumption value of the vehicle and the power consumption redundancy setting value, the overcurrent wake-up threshold is updated, and the battery management system is controlled to power off and sleep;

[0178] When the first real-time clock data matches the remaining time for starting the power replenishment, the power replenishment operation for the low-voltage battery is performed through the battery management system.

[0179] It can be seen that the implementation Figure 5 The described intelligent charging device for the vehicle's low-voltage battery can determine whether the first real-time clock data matches the remaining time for starting the charging. When the first real-time clock data does not match the remaining time for starting the charging, it obtains the preset power consumption redundancy setting value, updates the overcurrent wake-up threshold according to the static power consumption value of the whole vehicle and the power consumption redundancy setting value, and controls the battery management system to power off and sleep. When the first real-time clock data matches the remaining time for starting the charging, the battery management system performs a charging operation for the low-voltage battery. When the low-voltage battery does not need to be charged, the overcurrent wake-up threshold can be updated for the next judgment on whether to wake up the battery management system, thereby improving the accuracy and reliability of each judgment on whether to wake up the battery management system, thereby improving the overall accuracy and intelligence of battery charging.

[0180] In yet another optional embodiment, Figure 5 As shown, the specific manner in which the first determination module 301 performs the charging operation for the low-voltage battery through the battery management system includes:

[0181] The battery management system wakes up the vehicle controller and sends the battery recharging request to the vehicle controller;

[0182] The vehicle controller determines whether the vehicle meets the battery charging demand. When the vehicle meets the battery charging demand, the vehicle controller controls the high voltage on the vehicle and enables the vehicle's power system;

[0183] The low-voltage battery is recharged through the power system, and when it is detected that the low-voltage battery meets the preset recharge completion conditions, the vehicle controller controls the vehicle to perform power-off sleep operation.

[0184] It can be seen that the implementation Figure 5 The described intelligent charging device for the vehicle's low-voltage battery can wake up the vehicle's whole vehicle controller through the battery management system, and send a battery charging demand to the whole vehicle controller, and determine whether the vehicle meets the battery charging demand through the whole vehicle controller. When the vehicle meets the battery charging demand, the whole vehicle controller controls the high voltage on the whole vehicle and enables the vehicle's power system, and charges the low-voltage battery through the power system. When it is detected that the low-voltage battery meets the preset charging completion conditions, the whole vehicle controller controls the vehicle to perform a power-off sleep operation, thereby improving the intelligence and timeliness of charging the low-voltage battery without changing the hardware design, reducing the battery feeding risk, and thereby improving the safety and stability of the whole vehicle, and improving the user experience.

[0185] In yet another optional embodiment, Figure 5 As shown, the intelligent charging device for the low-voltage battery of the vehicle may also include:

[0186] A third determination module 306 is used to determine high-voltage battery information of the high-voltage battery of the vehicle before the battery management system of the low-voltage battery of the vehicle goes into power hibernation, wherein the high-voltage battery information includes remaining power information of the high-voltage battery;

[0187] The second judgment module 307 is used to judge whether the vehicle is in a low power consumption mode based on the high-voltage battery information. When the vehicle is in a low power consumption mode, the battery management system is used to turn off the battery charging function for the low-voltage battery. When the vehicle is not in a low power consumption mode, the first determination module 301 is triggered to execute the operation of determining the battery information of the low-voltage battery.

[0188] It can be seen that implementation Figure 5 The described intelligent charging device for the vehicle's low-voltage battery can determine the high-voltage battery information of the vehicle's high-voltage battery before the battery management system of the vehicle's low-voltage battery goes into sleep mode, and judge whether the vehicle is in a low-power consumption mode based on the high-voltage battery information. When the vehicle is in a low-power consumption mode, the battery management system is used to turn off the battery charging function for the low-voltage battery. When the vehicle is not in a low-power consumption mode, the operation of determining the battery information of the low-voltage battery is triggered, and the charging function for the low-voltage battery can be turned off when the vehicle is in a low-power consumption mode, thereby ensuring the power demand of the entire vehicle, reducing the risk of power feeding of the entire vehicle, improving the safety and stability of the entire vehicle, and improving the user's vehicle experience.

[0189] Embodiment 4

[0190] See also Figure 6 , Figure 6 FIG. 1 is a schematic diagram of the structure of another intelligent charging device for a low-voltage battery of a vehicle disclosed in an embodiment of the present invention. Figure 6 As shown, the intelligent charging device for the low-voltage battery of the vehicle may include:

[0191] A memory 401 storing executable program codes;

[0192] a processor 402 coupled to the memory 401;

[0193] The processor 402 calls the executable program code stored in the memory 401 to execute the steps of the intelligent charging method for the low-voltage battery of a vehicle described in the first embodiment of the present invention or the second embodiment of the present invention.

[0194] Embodiment 5

[0195] An embodiment of the present invention discloses a computer storage medium, which stores computer instructions. When the computer instructions are called, they are used to execute the steps in the intelligent charging method for a vehicle low-voltage battery described in Embodiment 1 or Embodiment 2 of the present invention.

[0196] Embodiment 6

[0197] An embodiment of the present invention discloses a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to enable a computer to execute the steps of the intelligent charging method for a vehicle low-voltage battery described in Embodiment 1 or Embodiment 2.

[0198] The device embodiments described above are only illustrative, wherein the modules described as separate components may or may not be physically separated, and the components displayed as modules may or may not be physical modules, i.e., they may be located in one place, or they may be distributed on multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Those of ordinary skill in the art may understand and implement it without creative work.

[0199] Through the specific description of the above embodiments, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on such an understanding, the above technical solution can be essentially or partly contributed to the prior art in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, and the storage medium includes a read-only memory (ROM), a random access memory (RAM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), a one-time programmable read-only memory (OTPROM), an electronically erasable rewritable read-only memory (EEPROM), a compact disc (CD-ROM) or other optical disc storage, magnetic disk storage, magnetic tape storage, or any other computer-readable medium that can be used to carry or store data.

[0200] Finally, it should be noted that the intelligent charging method and device for a vehicle low-voltage battery, and the computer storage medium disclosed in the embodiments of the present invention are only preferred embodiments of the present invention, and are only used to illustrate the technical solution of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, it should be understood by those skilled in the art that the technical solutions described in the aforementioned embodiments can still be modified, or some of the technical features therein can be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. An intelligent charging method for a low-voltage battery of a vehicle, characterized in that: The method comprises: Before the low-voltage battery of the vehicle goes into power-down mode in a battery management system, determining low-voltage battery information of the low-voltage battery, wherein the low-voltage battery information includes first remaining power information; Detecting battery consumption information during power-down in the battery management system, and calculating the remaining time for starting and recharging the low-voltage battery according to the low-voltage battery information and the battery consumption information; A first real-time clock data is determined, and a power replenishment strategy for the low-voltage battery is determined according to the first real-time clock data and the remaining time for starting power replenishment.

2. The intelligent charging method for a vehicle low-voltage battery according to claim 1, characterized in that: The low-voltage battery information also includes system wake-up condition information, and the method further includes: During the process of the battery management system being in power-down mode, determining the whole vehicle static power consumption information of the vehicle and second real-time clock data, wherein the whole vehicle static power consumption information includes the whole vehicle static power consumption current value and the whole vehicle static power consumption value; According to the vehicle static power consumption information or the second real-time clock data, judging whether the battery management system meets the system wake-up condition information, and obtaining a judgment result, wherein the system wake-up condition information includes an overcurrent wake-up threshold or a timed wake-up time; When the judgment result indicates that the battery management system meets the system wake-up condition information, the battery management system is woken up and triggered to execute the operation of detecting the battery consumption information during the power-down process of the battery management system.

3. The intelligent charging method for a vehicle low-voltage battery according to claim 2, characterized in that: The determining, based on the vehicle static power consumption information or the second real-time clock data, whether the battery management system satisfies the system wake-up condition information, and obtaining a determination result includes: Determine whether the static power consumption current value of the whole vehicle is greater than the overcurrent wake-up threshold, and when the static power consumption current value of the whole vehicle is greater than the overcurrent wake-up threshold, determine that the battery management system meets the system wake-up condition information; or, It is determined whether the second real-time clock data is equal to the scheduled wake-up time, and when the second real-time clock data is equal to the scheduled wake-up time, it is determined that the battery management system meets the system wake-up condition information.

4. The intelligent charging method for a vehicle low-voltage battery according to claim 2 or 3, characterized in that: The low-voltage battery information also includes battery capacity information, and the battery consumption information includes battery power consumption information; The calculating the remaining time of starting and charging the low-voltage battery according to the low-voltage battery information and the battery consumption information includes: Calculating second remaining power information of the low-voltage battery according to the first remaining power information and the battery consumption power information; A preset system power replenishment wake-up threshold is obtained, and the remaining time for starting power replenishment of the low-voltage battery is calculated according to the battery capacity information, the second remaining power information, the system power replenishment wake-up threshold and the static power consumption value of the whole vehicle.

5. The intelligent charging method for a vehicle low-voltage battery according to claim 4, characterized in that: The calculating the remaining time for starting and replenishing power of the low-voltage battery according to the battery capacity information, the second remaining power information, the system replenishing power awakening threshold, and the static power consumption value of the whole vehicle includes: Calculate the remaining startup power replenishment time of the low-voltage battery according to the battery capacity information, the second remaining power information, the system power replenishment wake-up threshold, the vehicle static power consumption value and a preset startup power replenishment remaining time calculation formula; The calculation formula for the remaining time of starting the power replenishment includes: Wherein, T1 represents the remaining time of starting the power replenishment, Q 容 Indicates the battery capacity information, SOC 剩_2 Indicates the second remaining power information, SOC 设 represents the system power replenishment wake-up threshold, and i1 represents the static power consumption value of the whole vehicle.

6. The intelligent charging method for a vehicle low-voltage battery according to claim 5, characterized in that: The determining, according to the first real-time clock data and the remaining time for starting the power replenishment, a power replenishment strategy for the low-voltage battery includes: Determine whether the first real-time clock data matches the remaining time for starting the power supplement, and when the first real-time clock data does not match the remaining time for starting the power supplement, obtain a preset power consumption redundancy setting value; According to the static power consumption value of the whole vehicle and the power consumption redundancy setting value, the overcurrent wake-up threshold is updated, and the battery management system is controlled to power down and sleep; When the first real-time clock data matches the remaining time for starting the power replenishment, the power replenishment operation for the low-voltage battery is performed through the battery management system.

7. The intelligent charging method for a vehicle low-voltage battery according to claim 6, characterized in that: The performing a charging operation on the low-voltage battery by the battery management system includes: Waking up the vehicle controller of the vehicle through the battery management system and sending a battery recharging demand to the vehicle controller; Determine whether the vehicle meets the battery charging requirement by the vehicle controller, and when the vehicle meets the battery charging requirement, control the high voltage on the vehicle and enable the power system of the vehicle by the vehicle controller; The low-voltage battery is recharged by the power supply system, and when it is detected that the low-voltage battery meets a preset recharge completion condition, the vehicle controller is used to control the vehicle to perform a power-off sleep operation.

8. The intelligent charging method for a vehicle low-voltage battery according to any one of claims 1, 2, 3, 4, 5 and 7, characterized in that: The method further comprises: Before the low-voltage battery of the vehicle goes into power hibernation under the battery management system, determining high-voltage battery information of the high-voltage battery of the vehicle, wherein the high-voltage battery information includes remaining power information of the high-voltage battery; determining whether the vehicle is in a low power consumption mode according to the high-voltage battery information, and when the vehicle is in the low power consumption mode, shutting down a battery charging function for the low-voltage battery through the battery management system; When the vehicle is not in the low power consumption mode, the operation of determining the battery information of the low voltage battery is triggered.

9. An intelligent charging device for a low-voltage battery of a vehicle, characterized in that: The device comprises: A memory storing executable program code; a processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the intelligent charging method for the vehicle low-voltage battery as described in any one of claims 1-8.

10. A computer storage medium, characterized in that: The computer storage medium stores computer instructions, which, when called, are used to execute the intelligent charging method for a vehicle low-voltage battery as described in any one of claims 1-8.

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